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Global Attributes:	HDF_GLOBAL.HDFEOSVersion: "HDFEOS_V2.13" HDF_GLOBAL.HDF_ANNOT: "RUNTIME ENVIRONMENT INFORMATION\\012DATE OF RUN: Sun Aug 27 20:58:21 2006\\012HOST INFO: l0spg10: (IRIX64 6.5 10070055 IP35)\\012RUN BY: s4pmopsr\\012UNIQUE FILE NAME: MISR_AM1_CGLS_2002_F04_0021.hdf\\012TOOLKIT_VERSION: DAAC TK5.2.13\\012ENVIRONMENT VARIABLES\\012 PGSHOME = /vol1/TS1/ssit/TOOLKIT_5.2.13/TOOLKIT\\012 PGS_PC_INFO_FILE = /vol1/OPS/S4PM-MISR-REPR/strings/terra/stations/reprocessing/run_algorithm/RUNNING.RUN_M12CP_Y.2001335000000/DO.RUN_M12CP_Y.2001335000000\\012 PGSMSG = /vol1/OPS/S4PM-MISR-REPR/strings/terra/stations/reprocessing/run_algorithm/RUNNING.RUN_M12CP_Y.2001335000000/../M12CP_Y/40002/MSGS\\012MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111027.CF.24.hdf\\012LID = 1309; Local Granule ID = MISR_AM1_GRP_TERRAIN_GM_P209_O034253_BF_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111007.BF.24.hdf\\012LID = 1310; Local Granule ID = MISR_AM1_GRP_TERRAIN_GM_P209_O034253_AF_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111007.AF.24.hdf\\012LID = 1311; Local Granule ID = MISR_AM1_GRP_TERRAIN_GM_P209_O034253_AN_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111007.AN.24.hdf\\012LID = 1312; Local Granule ID = MISR_AM1_GRP_TERRAIN_GM_P209_O034253_DA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111028.DA.24.hdf\\012LID = 1313; Local Granule ID = MISR_AM1_GRP_TERRAIN_GM_P209_O034253_CA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111027.CA.24.hdf\\012LID = 1314; Local Granule ID = MISR_AM1_GRP_TERRAIN_GM_P209_O034253_BA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111007.BA.24.hdf\\012LID = 1315; Local Granule ID = MISR_AM1_GRP_TERRAIN_GM_P209_O034253_AA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111007.AA.24.hdf\\012LID = 1316; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_DF_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111028.DF.24.hdf\\012LID = 1317; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_CF_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111027.CF.24.hdf\\012LID = 1318; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_BF_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111007.BF.24.hdf\\012LID = 1319; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_AF_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111007.AF.24.hdf\\012LID = 1320; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_AN_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111007.AN.24.hdf\\012LID = 1321; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_DA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111028.DA.24.hdf\\012LID = 1322; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_CA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111027.CA.24.hdf\\012LID = 1323; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_BA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111007.BA.24.hdf\\012LID = 1324; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_AA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111007.AA.24.hdf\\012LID = 1325; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_DF_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148112555.DF.24.hdf\\012LID = 1326; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_CF_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148111720.CF.24.hdf\\012LID = 1327; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_BF_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148112555.BF.24.hdf\\012LID = 1328; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_AF_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148111720.AF.24.hdf\\012LID = 1329; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_AN_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148111921.AN.24.hdf\\012LID = 1330; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_DA_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148112613.DA.24.hdf\\012LID = 1331; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_CA_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148111730.CA.24.hdf\\012LID = 1332; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_BA_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148112555.BA.24.hdf\\012LID = 1333; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_AA_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148111710.AA.24.hdf\\012LID = 1334; Local Granule ID = MISR_AM1_GP_GMP_P209_O034253_F03_0013.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIB2GEOP/MIB2GEOP.A2006147.1123.002.2006147214217.13.hdf\\012LID = 1500; Local Granule ID = MISR_AM1_ARP_PRFLTCHAR_F02_0002.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/ancillary/ARP_static/MISR_AM1_ARP_PRFLTCHAR_F02_0002.hdf\\012LID = 1501; Local Granule ID = MISR_AM1_ARP_PRFLTCAL_F02_0005.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/ancillary/ARP_static/MISR_AM1_ARP_PRFLTCAL_F02_0005.hdf\\012LID = 1502; Local Granule ID = MISR_AM1_ARP_INFLTCAL_T039_F02_0010.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/ancillary/ARP_dynamic/MISR_AM1_ARP_INFLTCAL_T039_F02_0010.hdf\\012LID = 1503; Local Granule ID = MISR_AM1_ARP_CONFIG_F03_0003.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/ancillary/ARP_static/MISR_AM1_ARP_CONFIG_F03_0003.hdf\\012LID = 1340; Local Granule ID = MISR_AM1_TASC_MAY_F01_01.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/ancillary/TASC/MISR_AM1_TASC_MAY_F01_01.hdf\\012computation of avg RDQI, for each RDQI > RDQI1\\0122 ! rdqi4\\012 ! maximum acceptable RDQI used in calculating BRFs\\0120.01 ! mu0_thresh\\012 ! regional cosine of solar zenith angle threshold\\0123 ! ref_band\\012 ! reference band (red band)\\01240.8 ! cam_line_repeat_time\\012 ! MISR camera line repeat time (msec)\\012.0001 ! BRF scale factor\\012!------------------------------------------------\\012! Threshold parameters\\012! Reference: None\\012! \\012!------------------------------------------------\\0120.0 ! Unused\\012 ! \\0120.0 ! Unused\\012 ! \\0120.0 ! min_texture_index\\012 ! minimum acceptable value for texture index\\01210.0 ! max_texture_index\\012 ! maximum acceptable value for texture index\\012175.0 ! min_temperature\\012 ! minimum acceptable value for temperature (K)\\012340.0 ! max_temperature\\012 ! maximum acceptable value for temperature (K)\\0126.0 ! max_brf_value\\012 ! maximum acceptable value for BRF\\0120.0 ! min_albedo_value\\012 ! minimum acceptable value for albedo\\0126.0 ! max_albedo_value\\012 ! maximum acceptable value for albedo\\01280.0 ! max_view_angle_along\\012 ! maximum view angle in along-track direction (degrees)\\01225.0 ! max_view_angle_cross\\012 ! maximum view angle in cross-track direction (degrees)\\012!------------------------------------------------\\012! Cloud Configuration File parameters\\012! Reference: Level 2 Cloud Detection and Classification\\012! Algorithm Theoretical Basis Document, JPL D-11399, Rev B\\012!------------------------------------------------\\01270.5 60.0 45.6 26.1 0.0 -26.1 -45.6 -60.0 -70.5 ! nominal_view_angle\\012 ! nominal along-track view angle for each camera (degrees)\\0121468 1292 1127 1113 1113 1127 1292 1468 ! nominal_tdiff\\012 ! nominal along-track time difference (lines)\\0121 ! rdqi3\\012 ! maximum acceptable RDQI for inclusion in M2/M3\\0120.0 ! Unused\\012 ! \\0121.1 ! ambiguity_factor\\012 ! factor for setting secondary threshold in ambiguity test\\0123 ! cluster_thresh_along\\012 ! along-track spatial clustering threshold (pixels)\\0123 ! cluster_thresh_cross\\012 ! cross-track spatial clustering threshold (pixels)\\0120.0 ! nm_min_valid_frac\\012 ! fraction of pixels required to be valid in order to use NM\\0125 ! nm_high_level\\012 ! highest usable level in NM\\0122 ! nm_low_level\\012 ! lowest usable level in NM\\0122 ! nm_search_radius\\012 ! search radius used in NM, when not set to 1 (pixels)\\0121 ! nm_search_level\\012 ! highest level at which search radius other than 1 is used\\01220.0 ! max_cloud_height_srch\\012 ! max cloud ht for estab stereo srch window and wrk strip dims (km)\\012100.0 ! max_cloud_velocity_srch\\012 ! max cloud velocity for estab stereo srch window and wrk strip dims (m/sec)\\0125 ! applicability_ratio\\012 ! ratio q_thresh in stereo matcher applicability test\\0120.0 ! Unused\\012 ! \\0120.0 ! Unused\\012 ! \\0120 ! Unused\\012 ! \\0120 ! Unused\\012 ! \\01221 ! m2_patch_size_along\\012 ! m2 patch size used in wind retrievals, along-track (pixels)\\01211 ! m2_patch_size_cross\\012 ! m2 patch size used in wind retrievals, cross-track (pixels)\\012-0.5 ! min_wind_cloud_height\\012 ! minimum allowable cloud height for use in wind retrieval. (km)\\01220.0 ! max_wind_cloud_height\\012 ! maximum allowable cloud height for use in wind retrieval. (km)\\0126.0 ! wind_speed_bin_width\\012 ! width of wind speed histogram bins (m/sec) \\012-105.0 ! hist_min_wind_speed\\012 ! min value of wind speed in histogram, along-track and cross-track (m/s)\\012105.0 ! hist_max_wind_speed\\012 ! max value of wind speed in histogram, along-track and cross-track (m/s)\\0127 ! min_bin_count\\012\\011 ! min number of wind retrieval points needed per bin to avoid defaults\\0121 ! min_wind_points\\012 ! min number of wind retrieval points required to avoid defaults\\0125 ! min_wdisp_hist_count\\012 ! min number of counts in 2d wind-disparity histogram required to avoid default\\01210.0 ! dflt_height_wind\\012 ! default value of cloud height if wind retrieval fails (km)\\0120.0 ! dflt_speed_wind_along\\012 ! default value of cloud wind if wind retreival fails, along-track (m/sec)\\0120.0 ! dflt_speed_wind_cross\\012 ! default value of cloud wind if wind retreival fails, cross-track (m/sec)\\01212.0 ! wind_speed_diff\\012 ! wind speed differential for merging of search windows (m/sec)\\0120.75 ! min_search_window_frac\\012 ! fraction of data in search window reqiured to be available\\0121.1 ! search_window_pad\\012 ! search window pad dimension, l (km)\\01210 ! target_patch_along\\012 ! target patch size used in height retrievals, along-track (pixels)\\0126 ! target_patch_cross \\012 ! target patch size used in height retrievals, cross-track (pixels)\\0120.75 ! m2_thresh\\012 ! M2 threshold\\0121.00 ! m3_thresh\\012 ! M3 threshold\\0126 ! rs_filter_window_along\\012 ! RS filter window size, along-track direction (pixels)\\0126 ! rs_filter_window_cross\\012 ! RS filter window size, cross-track direction (pixels)\\0120 ! rs_string_size (currently not used)\\012 ! RS along-track string size (pixels)\\01250.0 ! min_median_filter_pcnt\\012 ! minimum population of filter window to perform median filtering (percent)\\0124 ! m2m3_matcher_score\\012 ! M2+M3 matcher score\\0123 ! m2_matcher_score\\012 ! M2 matcher score\\0122 ! m3_matcher_score\\012 ! M3 matcher score\\0121 ! rs_matcher_score\\012 ! RS matcher score\\0120.0 ! min_stereo_cloud_height\\012 ! minimum allowable stereoscopic cloud height. (km)\\01220.0 ! max_stereo_cloud_height\\012 ! maximum allowable stereoscopic cloud height. (km)\\0121000.0 ! max_skew\\012 ! ray skewness blunder threshold (m)\\01210000.0 ! max_skew_zerowind\\012 ! ray skewness blunder threshold (m) for zero-wind heights.\\0120 ! skew_blunder_score\\012 ! ray skewness blunder score\\0121 ! skew_lc_score\\012 ! ray skewness test low confidence score\\012275.0 ! skew_hc_thresh\\012 ! ray skewness test high confidence threshold (m)\\0122 ! skew_hc_score\\012 ! ray skewness test high confidence score\\012562.0 ! height_unc\\012 ! stereoscopic height uncertainty increment\\0128 ! max_hc_score\\012 ! maximum score for declaring a stereoscopic height High Confidence\\0126 ! min_hc_score\\012 ! minimum score for declaring a stereoscopic height High Confidence\\0125 ! max_lc_score\\012 ! maximum score for declaring a stereoscopic height Low Confidence\\0121 ! min_lc_score\\012 ! minimum score for declaring a stereoscopic height Low Confidence\\0125.0 ! max_snow_water_eq\\012 ! maximum equivalent water amount which is not considered snow-covered (mm)\\0125.0 ! max_sea_ice_pcnt\\012 ! maximum sea ice cover which is not considered snow-covered (percent)\\0120.0 ! default_rlra_ht\\012 ! default rlra height (km above terrain)\\0123.0 ! default_cloud_ht\\012 ! default cloud height (km above terrain)\\0127 ! neighborhd_size\\012 ! # of 1.1 km samples, along- and cross-track, in terrain \"neighborhood\"\\0120 3 3 2 2 ! stereo_ht_table\\0121 1 1 1 2 ! stereoscopic height decision matrix (Table 5 of ATB)\\0121 1 1 2 2 ! 0 = \"No Retrieval\"\\0121 1 1 2 2 ! 1 = \"Keep\"\\0121 1 1 2 2 ! 2 = \"Surface\"\\012 ! 3 = \"Default Cloud\"\\0120 2 2 4 4 ! sdcm_table\\0121 1 1 1 4 ! 0 = \"No Retrieval\"\\0122 2 2 4 4 ! 1 = \"CloudHC\"\\0123 3 3 4 4 ! 2 = \"CloudLC\"\\0124 3 3 4 4 ! 3 = \"Near Surface\"\\012 ! 4 = \"Clear\"\\0120.0 ! texture_max_rdqi\\012 ! RDQI thresh for determ what is valid data in calc avg BRFs and text indices\\01292.0 ! max_scat_angle\\012 ! scattering angle threshold for establishing forward scattering\\0122.0 ! max_low_cloud\\012 ! low cloud upper limit for altitude binning (km)\\0126.0 ! max_mid_cloud\\012 ! middle cloud upper limit for altitude binning (km)\\012275.0 ! cloud_thickness\\012 ! assumed cloud thickness used in cloud shadow algorithm (m)\\012550.0 ! ray_cast_step_size\\012 ! horizontal ray-casting step size in cloud and topographic shadow alg (m)\\01235.2 ! max_ray_cast\\012 ! maximum horizontal distance for casting cloud and topographic shadow\\0120.5 ! prev_match_m2_thresh\\012 ! previous match method threshold for M2\\0120.5 ! prev_match_m3_thresh\\012 ! previous match method threshold for M3\\0122 ! pyramid_levels\\012 ! number of levels in stereo image pyramid\\012.FALSE. ! rs_match_flag\\012 ! whether to use the RS stereo matching method (flag)\\0125 ! height_ref_cam\\012 ! stereo height reference camera id\\0124 ! height_comp_cam_fwd\\012 ! stereo height forward comparison camera id\\0126 ! height_comp_cam_aft\\012 ! stereo height aft comparison camera id\\0127 ! previous_window_along\\012 ! along-track size of previous-match-method search window\\0125 ! previous_window_cross\\012 ! cross-track size of previous-match-method search window\\0125 ! pyramid_window_along\\012 ! along-track size of pyramid-match-method search window\\0125 ! pyramid_window_cross\\012 ! cross-track size of pyramid-match-method search window\\0122.0 ! blunder_thresh\\012 ! number of standard deviations used to compute height blunder limits\\012275.0 ! near_ellipsoid_tolerance\\012 ! distance from ellipsoid to be considered a misregistration correction point\\01210\\011 ! min_misreg_points\\012\\011 ! min number of misreg points needed to perform misregistration correction\\0122 ! max_misreg_cross_disp\\012\\011 ! maximum cross-track disparity to allow in misregistration calculation\\0121.5 ! max_misreg_height_diff\\012\\011 ! max diff btw surface ht and disparity-calc ht for point to be included in misreg calc (times resolution)\\0122\\011 ! max_peak_variance_cross\\012\\011 ! maximum cross-track variance from histogram peak to avoid cut\\0122\\011 ! max_peak_variance_along\\012\\011 ! maximum along-track variance from histogram peak to avoid cut\\0121.00\\011 ! max_misreg_cloud_frac\\012\\011 ! max frac of domain classified as cloudy (CLOUD_HC or CLOUD_LC) for misreg calc to be performed\\0125\\011 ! misreg_srch_neighborhd\\012\\011 ! area around point to search for land (NxN)\\0123.0 ! fwdaft_windns_diff_good\\012 ! Wind FwdAft Difference threshold to a wind to be considered good quality\\0125.0 ! fwdaft_windns_diff_bad\\012 ! Wind FwdAft Difference threshold to a wind to be considered bad quality\\0120.30 ! ratio_ntriplets_alltriplets\\012\\011 ! min ratio of triplets to all triplets for wind disparity histograms to be used for wind QA calculations.\\01213\\011 ! wdisp_hist_width_good\\012\\011 ! max histogram width to be called good quality.\\01225\\011 ! wdisp_hist_width_bad\\012\\011 ! histogram width at or above which is called bad quality.\\0123\\011 ! min_ngoodhist_vgwind\\012\\011 ! min number of good quality histograms for wind to be very good.\\0120\\011 ! max_nbadhist_vgwind\\012\\011 ! max number of bad quality histograms for wind to be very good quality.\\0122\\011 ! min_ngoodhist_goodwind\\012\\011 ! min number of good quality histograms for wind to be good quality.\\0121\\011 ! max_nbadhist_goodwind\\012\\011 ! max number of bad quality histograms for wind to be good quality.\\0121\\011 ! min_ngoodhist_badwind\\012\\011 ! min number of good quality histograms for wind to be bad quality.\\0122\\011 ! min_nbadhist_badwind \\012\\011 ! min number of bad quality histograms for wind to be bad quality.\\0120.1 ! max_frac_bad_winds\\012 ! maximum allowable fraction of winds to fail the FwdAft quality test\\0129999.0 ! max_mean_fwdaft_diff1 \\012 ! maximum allowable mean value of NS Wind FwdAft difference for good winds\\0128.0 ! max_mean_fwdaft_diff\\012 ! maximum allowable mean value of NS Wind FwdAft difference for all winds\\0120.75 ! max_frac_bad_gdqi\\012 ! maximum allowable fraction of bad GDQI's per camera\\012\\012\\012-------------------\\012! Aerosol Retrieval Configuration File parameters\\012! Reference: Level 2 Aerosol Retrieval Algorithm\\012! Theoretical Basis Document, JPL D-11400\\012!------------------------------------------------\\012!\\012!----------------------------------------------------\\012! (1) Parameters that apply to all aerosol retrievals\\012!----------------------------------------------------\\0120.2 ! mu0_thresh\\012 ! regional cosine of solar zenith angle threshold\\012500. ! region_topo_complex_thresh\\012 ! regional topographic complexity threshold (m)\\012100. ! hc_cloud_pcnt_thresh\\012 ! regional cloudiness threshold for high confidence cloud percent\\012100. ! lc_cloud_pcnt_thresh\\012 ! regional cloudiness threshold for low confidence cloud percent\\0121 ! rdqi1\\012 ! maximum acceptable RDQI used in averaging data to appropriate resolution\\0123 ! rdqi2\\012 ! RDQI value to use during the comp of avg RDQI, for each RDQI > RDQI1\\012250. ! subr_topo_complex_thresh\\012 ! subregional topographic complexity threshold (m)\\01220. ! max_subr_avg_slope\\012 ! max allowable subregion average slope (degrees)\\0125 ! nsdcm_class\\012 ! number of SDCM cloud classifications\\0125 ! nrccm_class\\012 ! number of RCCM cloud classifications\\0125 ! nascm_class\\012 ! number of ASCM cloud classifications\\0123 ! nsurf_class\\012 ! number of surface classifications\\0121 ! water_algorithm_type\\012 ! Algorithm to use for aerosol retrievals over water. \\012 ! 1 = dark water algorithm \\012 ! 9 = water algorithm\\012!----------------------------------------------------------\\012! Atmospheric State Decision Matrix:\\012! cloud_mask_decision_matrix(RCCM, SDCM, ASCM, surface classification)\\012! 1 => CLEAR, ALLOW BRIGHT OVERRIDE\\012! 3 => CLOUDY, ALLOW SVM OVERRIDE\\012! 7 => CLOUDY, PROHIBIT SVM OVERRIDE\\012! 9 => CLEAR, PROHIBIT BRIGHT OVERRIDE\\012! RCCM classifications in each row, ordered from left to right, are\\012! NotAvailable CloudHC CloudLC ClearLC ClearHC\\012!----------------------------------------------------------\\012! Snow/ice: ASCM = NotAvailable\\0127 7 7 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,NotAvailable,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudHC,NotAvailable,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudLC,NotAvailable,Snow/ice)\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,NotAvailable,Snow/ice)\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,NotAvailable,Snow/ice)\\012! Snow/ice: ASCM = CloudHC\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,NotAvailable,CloudHC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudHC,CloudHC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudLC,CloudHC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,NearSurfaceLC,CloudHC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,NearSurfaceHC,CloudHC,Snow/ice)\\012! Snow/ice: ASCM = CloudLC\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,NotAvailable,CloudLC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudHC,CloudLC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudLC,CloudLC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,NearSurfaceLC,CloudLC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,NearSurfaceHC,CloudLC,Snow/ice)\\012! Snow/ice: ASCM = ClearLC\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,ClearLC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudHC,ClearLC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudLC,ClearLC,Snow/ice)\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,ClearLC,Snow/ice)\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,ClearLC,Snow/ice)\\012! Snow/ice: ASCM = ClearHC\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,ClearHC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudHC,ClearHC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudLC,ClearHC,Snow/ice)\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,ClearHC,Snow/ice)\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,ClearHC,Snow/ice)\\012! Water: ASCM = NotAvailable\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,NotAvailable,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,NotAvailable,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,NotAvailable,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,NotAvailable,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,NotAvailable,Water)\\012! Water: ASCM = CloudHC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,CloudHC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,CloudHC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,CloudHC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,CloudHC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,CloudHC,Water)\\012! Water: ASCM = CloudLC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,CloudLC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,CloudLC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,CloudLC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,CloudLC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,CloudLC,Water)\\012! Water: ASCM = ClearLC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,ClearLC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,ClearLC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,ClearLC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,ClearLC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,ClearLC,Water)\\012! Water: ASCM = ClearHC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,ClearHC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,ClearHC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,ClearHC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,ClearHC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,ClearHC,Water)\\012! Land: ASCM = NotAvailable\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,NotAvailable,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,NotAvailable,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,NotAvailable,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,NotAvailable,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,NotAvailable,Land)\\012! Land: ASCM = CloudHC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,CloudHC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,CloudHC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,CloudHC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,CloudHC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,CloudHC,Land)\\012! Land: ASCM = CloudLC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,CloudLC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,CloudLC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,CloudLC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,CloudLC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,CloudLC,Land)\\012! Land: ASCM = ClearLC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,ClearLC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,ClearLC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,ClearLC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,ClearLC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,ClearLC,Land)\\012! Land: ASCM = ClearHC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,ClearHC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,ClearHC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,ClearHC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,Clear`^\\214\\232\\377\\177", "INPUT FILES INFORMATION\\012LID = 1101; Local Granule ID = MISR_AM1_PGE12CP_PCS_CONFIG_F01_0002.ascii\\012 Input Path = /vol1/OPS/S4PM-MISR-REPR/data/ancillary/CONFIG/MISR_AM1_PGE12CP_PCS_CONFIG_F01_0002.ascii\\012LID = 1900; Local Granule ID = MISR_AM1_CGAS_2002_F07_0020.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR-REPR/data/MIL3YAE/MIL3YAE.A2001335.0000.003.2006239202348.20.hdf\\012LID = 1901; Local Granule ID = MISR_AM1_CGLS_2002_F05_0020.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR-REPR/data/MIL3YLS/MIL3YLS.A2001335.0000.003.2006239202348.20.hdf\\012/RUNNING.RUN_M12CP_Y.2001335000000/../M12CP_Y/40002/MSGS\\012MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111027.CF.24.hdf\\012LID = 1309; Local Granule ID = MISR_AM1_GRP_TERRAIN_GM_P209_O034253_BF_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111007.BF.24.hdf\\012LID = 1310; Local Granule ID = MISR_AM1_GRP_TERRAIN_GM_P209_O034253_AF_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111007.AF.24.hdf\\012LID = 1311; Local Granule ID = MISR_AM1_GRP_TERRAIN_GM_P209_O034253_AN_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111007.AN.24.hdf\\012LID = 1312; Local Granule ID = MISR_AM1_GRP_TERRAIN_GM_P209_O034253_DA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111028.DA.24.hdf\\012LID = 1313; Local Granule ID = MISR_AM1_GRP_TERRAIN_GM_P209_O034253_CA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111027.CA.24.hdf\\012LID = 1314; Local Granule ID = MISR_AM1_GRP_TERRAIN_GM_P209_O034253_BA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111007.BA.24.hdf\\012LID = 1315; Local Granule ID = MISR_AM1_GRP_TERRAIN_GM_P209_O034253_AA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111007.AA.24.hdf\\012LID = 1316; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_DF_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111028.DF.24.hdf\\012LID = 1317; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_CF_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111027.CF.24.hdf\\012LID = 1318; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_BF_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111007.BF.24.hdf\\012LID = 1319; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_AF_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111007.AF.24.hdf\\012LID = 1320; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_AN_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111007.AN.24.hdf\\012LID = 1321; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_DA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111028.DA.24.hdf\\012LID = 1322; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_CA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111027.CA.24.hdf\\012LID = 1323; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_BA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111007.BA.24.hdf\\012LID = 1324; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_AA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111007.AA.24.hdf\\012LID = 1325; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_DF_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148112555.DF.24.hdf\\012LID = 1326; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_CF_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148111720.CF.24.hdf\\012LID = 1327; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_BF_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148112555.BF.24.hdf\\012LID = 1328; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_AF_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148111720.AF.24.hdf\\012LID = 1329; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_AN_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148111921.AN.24.hdf\\012LID = 1330; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_DA_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148112613.DA.24.hdf\\012LID = 1331; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_CA_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148111730.CA.24.hdf\\012LID = 1332; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_BA_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148112555.BA.24.hdf\\012LID = 1333; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_AA_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148111710.AA.24.hdf\\012LID = 1334; Local Granule ID = MISR_AM1_GP_GMP_P209_O034253_F03_0013.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIB2GEOP/MIB2GEOP.A2006147.1123.002.2006147214217.13.hdf\\012LID = 1500; Local Granule ID = MISR_AM1_ARP_PRFLTCHAR_F02_0002.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/ancillary/ARP_static/MISR_AM1_ARP_PRFLTCHAR_F02_0002.hdf\\012LID = 1501; Local Granule ID = MISR_AM1_ARP_PRFLTCAL_F02_0005.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/ancillary/ARP_static/MISR_AM1_ARP_PRFLTCAL_F02_0005.hdf\\012LID = 1502; Local Granule ID = MISR_AM1_ARP_INFLTCAL_T039_F02_0010.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/ancillary/ARP_dynamic/MISR_AM1_ARP_INFLTCAL_T039_F02_0010.hdf\\012LID = 1503; Local Granule ID = MISR_AM1_ARP_CONFIG_F03_0003.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/ancillary/ARP_static/MISR_AM1_ARP_CONFIG_F03_0003.hdf\\012LID = 1340; Local Granule ID = MISR_AM1_TASC_MAY_F01_01.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/ancillary/TASC/MISR_AM1_TASC_MAY_F01_01.hdf\\012computation of avg RDQI, for each RDQI > RDQI1\\0122 ! rdqi4\\012 ! maximum acceptable RDQI used in calculating BRFs\\0120.01 ! mu0_thresh\\012 ! regional cosine of solar zenith angle threshold\\0123 ! ref_band\\012 ! reference band (red band)\\01240.8 ! cam_line_repeat_time\\012 ! MISR camera line repeat time (msec)\\012.0001 ! BRF scale factor\\012!------------------------------------------------\\012! Threshold parameters\\012! Reference: None\\012! \\012!------------------------------------------------\\0120.0 ! Unused\\012 ! \\0120.0 ! Unused\\012 ! \\0120.0 ! min_texture_index\\012 ! minimum acceptable value for texture index\\01210.0 ! max_texture_index\\012 ! maximum acceptable value for texture index\\012175.0 ! min_temperature\\012 ! minimum acceptable value for temperature (K)\\012340.0 ! max_temperature\\012 ! maximum acceptable value for temperature (K)\\0126.0 ! max_brf_value\\012 ! maximum acceptable value for BRF\\0120.0 ! min_albedo_value\\012 ! minimum acceptable value for albedo\\0126.0 ! max_albedo_value\\012 ! maximum acceptable value for albedo\\01280.0 ! max_view_angle_along\\012 ! maximum view angle in along-track direction (degrees)\\01225.0 ! max_view_angle_cross\\012 ! maximum view angle in cross-track direction (degrees)\\012!------------------------------------------------\\012! Cloud Configuration File parameters\\012! Reference: Level 2 Cloud Detection and Classification\\012! Algorithm Theoretical Basis Document, JPL D-11399, Rev B\\012!------------------------------------------------\\01270.5 60.0 45.6 26.1 0.0 -26.1 -45.6 -60.0 -70.5 ! nominal_view_angle\\012 ! nominal along-track view angle for each camera (degrees)\\0121468 1292 1127 1113 1113 1127 1292 1468 ! nominal_tdiff\\012 ! nominal along-track time difference (lines)\\0121 ! rdqi3\\012 ! maximum acceptable RDQI for inclusion in M2/M3\\0120.0 ! Unused\\012 ! \\0121.1 ! ambiguity_factor\\012 ! factor for setting secondary threshold in ambiguity test\\0123 ! cluster_thresh_along\\012 ! along-track spatial clustering threshold (pixels)\\0123 ! cluster_thresh_cross\\012 ! cross-track spatial clustering threshold (pixels)\\0120.0 ! nm_min_valid_frac\\012 ! fraction of pixels required to be valid in order to use NM\\0125 ! nm_high_level\\012 ! highest usable level in NM\\0122 ! nm_low_level\\012 ! lowest usable level in NM\\0122 ! nm_search_radius\\012 ! search radius used in NM, when not set to 1 (pixels)\\0121 ! nm_search_level\\012 ! highest level at which search radius other than 1 is used\\01220.0 ! max_cloud_height_srch\\012 ! max cloud ht for estab stereo srch window and wrk strip dims (km)\\012100.0 ! max_cloud_velocity_srch\\012 ! max cloud velocity for estab stereo srch window and wrk strip dims (m/sec)\\0125 ! applicability_ratio\\012 ! ratio q_thresh in stereo matcher applicability test\\0120.0 ! Unused\\012 ! \\0120.0 ! Unused\\012 ! \\0120 ! Unused\\012 ! \\0120 ! Unused\\012 ! \\01221 ! m2_patch_size_along\\012 ! m2 patch size used in wind retrievals, along-track (pixels)\\01211 ! m2_patch_size_cross\\012 ! m2 patch size used in wind retrievals, cross-track (pixels)\\012-0.5 ! min_wind_cloud_height\\012 ! minimum allowable cloud height for use in wind retrieval. (km)\\01220.0 ! max_wind_cloud_height\\012 ! maximum allowable cloud height for use in wind retrieval. (km)\\0126.0 ! wind_speed_bin_width\\012 ! width of wind speed histogram bins (m/sec) \\012-105.0 ! hist_min_wind_speed\\012 ! min value of wind speed in histogram, along-track and cross-track (m/s)\\012105.0 ! hist_max_wind_speed\\012 ! max value of wind speed in histogram, along-track and cross-track (m/s)\\0127 ! min_bin_count\\012\\011 ! min number of wind retrieval points needed per bin to avoid defaults\\0121 ! min_wind_points\\012 ! min number of wind retrieval points required to avoid defaults\\0125 ! min_wdisp_hist_count\\012 ! min number of counts in 2d wind-disparity histogram required to avoid default\\01210.0 ! dflt_height_wind\\012 ! default value of cloud height if wind retrieval fails (km)\\0120.0 ! dflt_speed_wind_along\\012 ! default value of cloud wind if wind retreival fails, along-track (m/sec)\\0120.0 ! dflt_speed_wind_cross\\012 ! default value of cloud wind if wind retreival fails, cross-track (m/sec)\\01212.0 ! wind_speed_diff\\012 ! wind speed differential for merging of search windows (m/sec)\\0120.75 ! min_search_window_frac\\012 ! fraction of data in search window reqiured to be available\\0121.1 ! search_window_pad\\012 ! search window pad dimension, l (km)\\01210 ! target_patch_along\\012 ! target patch size used in height retrievals, along-track (pixels)\\0126 ! target_patch_cross \\012 ! target patch size used in height retrievals, cross-track (pixels)\\0120.75 ! m2_thresh\\012 ! M2 threshold\\0121.00 ! m3_thresh\\012 ! M3 threshold\\0126 ! rs_filter_window_along\\012 ! RS filter window size, along-track direction (pixels)\\0126 ! rs_filter_window_cross\\012 ! RS filter window size, cross-track direction (pixels)\\0120 ! rs_string_size (currently not used)\\012 ! RS along-track string size (pixels)\\01250.0 ! min_median_filter_pcnt\\012 ! minimum population of filter window to perform median filtering (percent)\\0124 ! m2m3_matcher_score\\012 ! M2+M3 matcher score\\0123 ! m2_matcher_score\\012 ! M2 matcher score\\0122 ! m3_matcher_score\\012 ! M3 matcher score\\0121 ! rs_matcher_score\\012 ! RS matcher score\\0120.0 ! min_stereo_cloud_height\\012 ! minimum allowable stereoscopic cloud height. (km)\\01220.0 ! max_stereo_cloud_height\\012 ! maximum allowable stereoscopic cloud height. (km)\\0121000.0 ! max_skew\\012 ! ray skewness blunder threshold (m)\\01210000.0 ! max_skew_zerowind\\012 ! ray skewness blunder threshold (m) for zero-wind heights.\\0120 ! skew_blunder_score\\012 ! ray skewness blunder score\\0121 ! skew_lc_score\\012 ! ray skewness test low confidence score\\012275.0 ! skew_hc_thresh\\012 ! ray skewness test high confidence threshold (m)\\0122 ! skew_hc_score\\012 ! ray skewness test high confidence score\\012562.0 ! height_unc\\012 ! stereoscopic height uncertainty increment\\0128 ! max_hc_score\\012 ! maximum score for declaring a stereoscopic height High Confidence\\0126 ! min_hc_score\\012 ! minimum score for declaring a stereoscopic height High Confidence\\0125 ! max_lc_score\\012 ! maximum score for declaring a stereoscopic height Low Confidence\\0121 ! min_lc_score\\012 ! minimum score for declaring a stereoscopic height Low Confidence\\0125.0 ! max_snow_water_eq\\012 ! maximum equivalent water amount which is not considered snow-covered (mm)\\0125.0 ! max_sea_ice_pcnt\\012 ! maximum sea ice cover which is not considered snow-covered (percent)\\0120.0 ! default_rlra_ht\\012 ! default rlra height (km above terrain)\\0123.0 ! default_cloud_ht\\012 ! default cloud height (km above terrain)\\0127 ! neighborhd_size\\012 ! # of 1.1 km samples, along- and cross-track, in terrain \"neighborhood\"\\0120 3 3 2 2 ! stereo_ht_table\\0121 1 1 1 2 ! stereoscopic height decision matrix (Table 5 of ATB)\\0121 1 1 2 2 ! 0 = \"No Retrieval\"\\0121 1 1 2 2 ! 1 = \"Keep\"\\0121 1 1 2 2 ! 2 = \"Surface\"\\012 ! 3 = \"Default Cloud\"\\0120 2 2 4 4 ! sdcm_table\\0121 1 1 1 4 ! 0 = \"No Retrieval\"\\0122 2 2 4 4 ! 1 = \"CloudHC\"\\0123 3 3 4 4 ! 2 = \"CloudLC\"\\0124 3 3 4 4 ! 3 = \"Near Surface\"\\012 ! 4 = \"Clear\"\\0120.0 ! texture_max_rdqi\\012 ! RDQI thresh for determ what is valid data in calc avg BRFs and text indices\\01292.0 ! max_scat_angle\\012 ! scattering angle threshold for establishing forward scattering\\0122.0 ! max_low_cloud\\012 ! low cloud upper limit for altitude binning (km)\\0126.0 ! max_mid_cloud\\012 ! middle cloud upper limit for altitude binning (km)\\012275.0 ! cloud_thickness\\012 ! assumed cloud thickness used in cloud shadow algorithm (m)\\012550.0 ! ray_cast_step_size\\012 ! horizontal ray-casting step size in cloud and topographic shadow alg (m)\\01235.2 ! max_ray_cast\\012 ! maximum horizontal distance for casting cloud and topographic shadow\\0120.5 ! prev_match_m2_thresh\\012 ! previous match method threshold for M2\\0120.5 ! prev_match_m3_thresh\\012 ! previous match method threshold for M3\\0122 ! pyramid_levels\\012 ! number of levels in stereo image pyramid\\012.FALSE. ! rs_match_flag\\012 ! whether to use the RS stereo matching method (flag)\\0125 ! height_ref_cam\\012 ! stereo height reference camera id\\0124 ! height_comp_cam_fwd\\012 ! stereo height forward comparison camera id\\0126 ! height_comp_cam_aft\\012 ! stereo height aft comparison camera id\\0127 ! previous_window_along\\012 ! along-track size of previous-match-method search window\\0125 ! previous_window_cross\\012 ! cross-track size of previous-match-method search window\\0125 ! pyramid_window_along\\012 ! along-track size of pyramid-match-method search window\\0125 ! pyramid_window_cross\\012 ! cross-track size of pyramid-match-method search window\\0122.0 ! blunder_thresh\\012 ! number of standard deviations used to compute height blunder limits\\012275.0 ! near_ellipsoid_tolerance\\012 ! distance from ellipsoid to be considered a misregistration correction point\\01210\\011 ! min_misreg_points\\012\\011 ! min number of misreg points needed to perform misregistration correction\\0122 ! max_misreg_cross_disp\\012\\011 ! maximum cross-track disparity to allow in misregistration calculation\\0121.5 ! max_misreg_height_diff\\012\\011 ! max diff btw surface ht and disparity-calc ht for point to be included in misreg calc (times resolution)\\0122\\011 ! max_peak_variance_cross\\012\\011 ! maximum cross-track variance from histogram peak to avoid cut\\0122\\011 ! max_peak_variance_along\\012\\011 ! maximum along-track variance from histogram peak to avoid cut\\0121.00\\011 ! max_misreg_cloud_frac\\012\\011 ! max frac of domain classified as cloudy (CLOUD_HC or CLOUD_LC) for misreg calc to be performed\\0125\\011 ! misreg_srch_neighborhd\\012\\011 ! area around point to search for land (NxN)\\0123.0 ! fwdaft_windns_diff_good\\012 ! Wind FwdAft Difference threshold to a wind to be considered good quality\\0125.0 ! fwdaft_windns_diff_bad\\012 ! Wind FwdAft Difference threshold to a wind to be considered bad quality\\0120.30 ! ratio_ntriplets_alltriplets\\012\\011 ! min ratio of triplets to all triplets for wind disparity histograms to be used for wind QA calculations.\\01213\\011 ! wdisp_hist_width_good\\012\\011 ! max histogram width to be called good quality.\\01225\\011 ! wdisp_hist_width_bad\\012\\011 ! histogram width at or above which is called bad quality.\\0123\\011 ! min_ngoodhist_vgwind\\012\\011 ! min number of good quality histograms for wind to be very good.\\0120\\011 ! max_nbadhist_vgwind\\012\\011 ! max number of bad quality histograms for wind to be very good quality.\\0122\\011 ! min_ngoodhist_goodwind\\012\\011 ! min number of good quality histograms for wind to be good quality.\\0121\\011 ! max_nbadhist_goodwind\\012\\011 ! max number of bad quality histograms for wind to be good quality.\\0121\\011 ! min_ngoodhist_badwind\\012\\011 ! min number of good quality histograms for wind to be bad quality.\\0122\\011 ! min_nbadhist_badwind \\012\\011 ! min number of bad quality histograms for wind to be bad quality.\\0120.1 ! max_frac_bad_winds\\012 ! maximum allowable fraction of winds to fail the FwdAft quality test\\0129999.0 ! max_mean_fwdaft_diff1 \\012 ! maximum allowable mean value of NS Wind FwdAft difference for good winds\\0128.0 ! max_mean_fwdaft_diff\\012 ! maximum allowable mean value of NS Wind FwdAft difference for all winds\\0120.75 ! max_frac_bad_gdqi\\012 ! maximum allowable fraction of bad GDQI's per camera\\012\\012\\012-------------------\\012! Aerosol Retrieval Configuration File parameters\\012! Reference: Level 2 Aerosol Retrieval Algorithm\\012! Theoretical Basis Document, JPL D-11400\\012!------------------------------------------------\\012!\\012!----------------------------------------------------\\012! (1) Parameters that apply to all aerosol retrievals\\012!----------------------------------------------------\\0120.2 ! mu0_thresh\\012 ! regional cosine of solar zenith angle threshold\\012500. ! region_topo_complex_thresh\\012 ! regional topographic complexity threshold (m)\\012100. ! hc_cloud_pcnt_thresh\\012 ! regional cloudiness threshold for high confidence cloud percent\\012100. ! lc_cloud_pcnt_thresh\\012 ! regional cloudiness threshold for low confidence cloud percent\\0121 ! rdqi1\\012 ! maximum acceptable RDQI used in averaging data to appropriate resolution\\0123 ! rdqi2\\012 ! RDQI value to use during the comp of avg RDQI, for each RDQI > RDQI1\\012250. ! subr_topo_complex_thresh\\012 ! subregional topographic complexity threshold (m)\\01220. ! max_subr_avg_slope\\012 ! max allowable subregion average slope (degrees)\\0125 ! nsdcm_class\\012 ! number of SDCM cloud classifications\\0125 ! nrccm_class\\012 ! number of RCCM cloud classifications\\0125 ! nascm_class\\012 ! number of ASCM cloud classifications\\0123 ! nsurf_class\\012 ! number of surface classifications\\0121 ! water_algorithm_type\\012 ! Algorithm to use for aerosol retrievals over water. \\012 ! 1 = dark water algorithm \\012 ! 9 = water algorithm\\012!----------------------------------------------------------\\012! Atmospheric State Decision Matrix:\\012! cloud_mask_decision_matrix(RCCM, SDCM, ASCM, surface classification)\\012! 1 => CLEAR, ALLOW BRIGHT OVERRIDE\\012! 3 => CLOUDY, ALLOW SVM OVERRIDE\\012! 7 => CLOUDY, PROHIBIT SVM OVERRIDE\\012! 9 => CLEAR, PROHIBIT BRIGHT OVERRIDE\\012! RCCM classifications in each row, ordered from left to right, are\\012! NotAvailable CloudHC CloudLC ClearLC ClearHC\\012!----------------------------------------------------------\\012! Snow/ice: ASCM = NotAvailable\\0127 7 7 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,NotAvailable,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudHC,NotAvailable,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudLC,NotAvailable,Snow/ice)\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,NotAvailable,Snow/ice)\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,NotAvailable,Snow/ice)\\012! Snow/ice: ASCM = CloudHC\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,NotAvailable,CloudHC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudHC,CloudHC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudLC,CloudHC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,NearSurfaceLC,CloudHC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,NearSurfaceHC,CloudHC,Snow/ice)\\012! Snow/ice: ASCM = CloudLC\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,NotAvailable,CloudLC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudHC,CloudLC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudLC,CloudLC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,NearSurfaceLC,CloudLC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,NearSurfaceHC,CloudLC,Snow/ice)\\012! Snow/ice: ASCM = ClearLC\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,ClearLC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudHC,ClearLC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudLC,ClearLC,Snow/ice)\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,ClearLC,Snow/ice)\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,ClearLC,Snow/ice)\\012! Snow/ice: ASCM = ClearHC\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,ClearHC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudHC,ClearHC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudLC,ClearHC,Snow/ice)\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,ClearHC,Snow/ice)\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,ClearHC,Snow/ice)\\012! Water: ASCM = NotAvailable\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,NotAvailable,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,NotAvailable,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,NotAvailable,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,NotAvailable,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,NotAvailable,Water)\\012! Water: ASCM = CloudHC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,CloudHC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,CloudHC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,CloudHC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,CloudHC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,CloudHC,Water)\\012! Water: ASCM = CloudLC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,CloudLC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,CloudLC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,CloudLC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,CloudLC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,CloudLC,Water)\\012! Water: ASCM = ClearLC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,ClearLC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,ClearLC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,ClearLC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,ClearLC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,ClearLC,Water)\\012! Water: ASCM = ClearHC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,ClearHC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,ClearHC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,ClearHC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,ClearHC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,ClearHC,Water)\\012! Land: ASCM = NotAvailable\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,NotAvailable,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,NotAvailable,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,NotAvailable,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,NotAvailable,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,NotAvailable,Land)\\012! Land: ASCM = CloudHC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,CloudHC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,CloudHC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,CloudHC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,CloudHC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,CloudHC,Land)\\012! Land: ASCM = CloudLC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,CloudLC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,CloudLC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,CloudLC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,CloudLC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,CloudLC,Land)\\012! Land: ASCM = ClearLC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,ClearLC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,ClearLC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,ClearLC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,ClearLC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,ClearLC,Land)\\012! Land: ASCM = ClearHC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,ClearHC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,ClearHC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,ClearHC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,Clear`^\\214\\232\\377\\177", "EXECUTABLE INFORMATION\\012MISR_EXEC_NAME:pge12cp.cc\\012MISR_EXEC_VERSION: V4.0_i2_PGE12CP\\012MISR_COMPOSITION_INFO_BEGIN\\012DATE OF BUILD: Tue Mar 7 11:02:23 EST 2006\\012BUILT BY: protack\\012HOST INFO: l0spg11: ClearCase 2003.06.10+ (IRIX64 6.5 10070055 IP35)\\012VOBS CONFIGURATION:\\012 /vobs/PCS/... V3.3\\012 /vobs/PGEvob/... V4.0\\012 /vobs/Shared/... V4.0\\012 /vobs/Lev3/... V4.0_i2_PGE12CP\\012LIB ENVIRONMENT:\\012 HDFEOS:/vol1/TS1/ssit/TOOLKIT_5.2.13/TOOLKIT/hdfeos/lib/sgi32\\012 HDF:/vol1/TS1/ssit/TOOLKIT_5.2.13/TOOLKIT/hdf/sgi32/HDF4.2r0/lib\\012 PGSTK:/vol1/TS1/ssit/TOOLKIT_5.2.13/TOOLKIT/lib/sgi32\\012COMPILER FLAGS\\012 -n32 -mips4 -r10000 -Ofast -OPT:roundoff=3\\012 -OPT:IEEE_arithmetic=3 -OPT:alias=typed -G0\\012 -LANG:std -LANG:restrict -g3 -DCPU_SGI -woff\\012 1478 -Wl,-woff,84 -Wl,-woff,85 -Wl,-woff,15\\012 -Wl,-woff,134 -DCXX_VERSION=MIPSpro Compilers: Version 7.4\\012 -DOSVERSION=6.5 -ptused\\012MISR_COMPOSITION_INFO_END\\0121_GRP_TERRAIN_GM_P209_O034253_AF_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111007.AF.24.hdf\\012LID = 1311; Local Granule ID = MISR_AM1_GRP_TERRAIN_GM_P209_O034253_AN_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111007.AN.24.hdf\\012LID = 1312; Local Granule ID = MISR_AM1_GRP_TERRAIN_GM_P209_O034253_DA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111028.DA.24.hdf\\012LID = 1313; Local Granule ID = MISR_AM1_GRP_TERRAIN_GM_P209_O034253_CA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111027.CA.24.hdf\\012LID = 1314; Local Granule ID = MISR_AM1_GRP_TERRAIN_GM_P209_O034253_BA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111007.BA.24.hdf\\012LID = 1315; Local Granule ID = MISR_AM1_GRP_TERRAIN_GM_P209_O034253_AA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2T/MI1B2T.A2006147.1123.003.2006148111007.AA.24.hdf\\012LID = 1316; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_DF_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111028.DF.24.hdf\\012LID = 1317; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_CF_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111027.CF.24.hdf\\012LID = 1318; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_BF_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111007.BF.24.hdf\\012LID = 1319; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_AF_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111007.AF.24.hdf\\012LID = 1320; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_AN_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111007.AN.24.hdf\\012LID = 1321; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_DA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111028.DA.24.hdf\\012LID = 1322; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_CA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111027.CA.24.hdf\\012LID = 1323; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_BA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111007.BA.24.hdf\\012LID = 1324; Local Granule ID = MISR_AM1_GRP_ELLIPSOID_GM_P209_O034253_AA_F03_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MI1B2E/MI1B2E.A2006147.1123.003.2006148111007.AA.24.hdf\\012LID = 1325; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_DF_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148112555.DF.24.hdf\\012LID = 1326; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_CF_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148111720.CF.24.hdf\\012LID = 1327; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_BF_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148112555.BF.24.hdf\\012LID = 1328; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_AF_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148111720.AF.24.hdf\\012LID = 1329; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_AN_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148111921.AN.24.hdf\\012LID = 1330; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_DA_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148112613.DA.24.hdf\\012LID = 1331; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_CA_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148111730.CA.24.hdf\\012LID = 1332; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_BA_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148112555.BA.24.hdf\\012LID = 1333; Local Granule ID = MISR_AM1_GRP_RCCM_GM_P209_O034253_AA_F04_0024.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIRCCM/MIRCCM.A2006147.1123.004.2006148111710.AA.24.hdf\\012LID = 1334; Local Granule ID = MISR_AM1_GP_GMP_P209_O034253_F03_0013.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/MIB2GEOP/MIB2GEOP.A2006147.1123.002.2006147214217.13.hdf\\012LID = 1500; Local Granule ID = MISR_AM1_ARP_PRFLTCHAR_F02_0002.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/ancillary/ARP_static/MISR_AM1_ARP_PRFLTCHAR_F02_0002.hdf\\012LID = 1501; Local Granule ID = MISR_AM1_ARP_PRFLTCAL_F02_0005.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/ancillary/ARP_static/MISR_AM1_ARP_PRFLTCAL_F02_0005.hdf\\012LID = 1502; Local Granule ID = MISR_AM1_ARP_INFLTCAL_T039_F02_0010.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/ancillary/ARP_dynamic/MISR_AM1_ARP_INFLTCAL_T039_F02_0010.hdf\\012LID = 1503; Local Granule ID = MISR_AM1_ARP_CONFIG_F03_0003.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/ancillary/ARP_static/MISR_AM1_ARP_CONFIG_F03_0003.hdf\\012LID = 1340; Local Granule ID = MISR_AM1_TASC_MAY_F01_01.hdf\\012 Input Path = /vol1/OPS/S4PM-MISR/data/ancillary/TASC/MISR_AM1_TASC_MAY_F01_01.hdf\\012computation of avg RDQI, for each RDQI > RDQI1\\0122 ! rdqi4\\012 ! maximum acceptable RDQI used in calculating BRFs\\0120.01 ! mu0_thresh\\012 ! regional cosine of solar zenith angle threshold\\0123 ! ref_band\\012 ! reference band (red band)\\01240.8 ! cam_line_repeat_time\\012 ! MISR camera line repeat time (msec)\\012.0001 ! BRF scale factor\\012!------------------------------------------------\\012! Threshold parameters\\012! Reference: None\\012! \\012!------------------------------------------------\\0120.0 ! Unused\\012 ! \\0120.0 ! Unused\\012 ! \\0120.0 ! min_texture_index\\012 ! minimum acceptable value for texture index\\01210.0 ! max_texture_index\\012 ! maximum acceptable value for texture index\\012175.0 ! min_temperature\\012 ! minimum acceptable value for temperature (K)\\012340.0 ! max_temperature\\012 ! maximum acceptable value for temperature (K)\\0126.0 ! max_brf_value\\012 ! maximum acceptable value for BRF\\0120.0 ! min_albedo_value\\012 ! minimum acceptable value for albedo\\0126.0 ! max_albedo_value\\012 ! maximum acceptable value for albedo\\01280.0 ! max_view_angle_along\\012 ! maximum view angle in along-track direction (degrees)\\01225.0 ! max_view_angle_cross\\012 ! maximum view angle in cross-track direction (degrees)\\012!------------------------------------------------\\012! Cloud Configuration File parameters\\012! Reference: Level 2 Cloud Detection and Classification\\012! Algorithm Theoretical Basis Document, JPL D-11399, Rev B\\012!------------------------------------------------\\01270.5 60.0 45.6 26.1 0.0 -26.1 -45.6 -60.0 -70.5 ! nominal_view_angle\\012 ! nominal along-track view angle for each camera (degrees)\\0121468 1292 1127 1113 1113 1127 1292 1468 ! nominal_tdiff\\012 ! nominal along-track time difference (lines)\\0121 ! rdqi3\\012 ! maximum acceptable RDQI for inclusion in M2/M3\\0120.0 ! Unused\\012 ! \\0121.1 ! ambiguity_factor\\012 ! factor for setting secondary threshold in ambiguity test\\0123 ! cluster_thresh_along\\012 ! along-track spatial clustering threshold (pixels)\\0123 ! cluster_thresh_cross\\012 ! cross-track spatial clustering threshold (pixels)\\0120.0 ! nm_min_valid_frac\\012 ! fraction of pixels required to be valid in order to use NM\\0125 ! nm_high_level\\012 ! highest usable level in NM\\0122 ! nm_low_level\\012 ! lowest usable level in NM\\0122 ! nm_search_radius\\012 ! search radius used in NM, when not set to 1 (pixels)\\0121 ! nm_search_level\\012 ! highest level at which search radius other than 1 is used\\01220.0 ! max_cloud_height_srch\\012 ! max cloud ht for estab stereo srch window and wrk strip dims (km)\\012100.0 ! max_cloud_velocity_srch\\012 ! max cloud velocity for estab stereo srch window and wrk strip dims (m/sec)\\0125 ! applicability_ratio\\012 ! ratio q_thresh in stereo matcher applicability test\\0120.0 ! Unused\\012 ! \\0120.0 ! Unused\\012 ! \\0120 ! Unused\\012 ! \\0120 ! Unused\\012 ! \\01221 ! m2_patch_size_along\\012 ! m2 patch size used in wind retrievals, along-track (pixels)\\01211 ! m2_patch_size_cross\\012 ! m2 patch size used in wind retrievals, cross-track (pixels)\\012-0.5 ! min_wind_cloud_height\\012 ! minimum allowable cloud height for use in wind retrieval. (km)\\01220.0 ! max_wind_cloud_height\\012 ! maximum allowable cloud height for use in wind retrieval. (km)\\0126.0 ! wind_speed_bin_width\\012 ! width of wind speed histogram bins (m/sec) \\012-105.0 ! hist_min_wind_speed\\012 ! min value of wind speed in histogram, along-track and cross-track (m/s)\\012105.0 ! hist_max_wind_speed\\012 ! max value of wind speed in histogram, along-track and cross-track (m/s)\\0127 ! min_bin_count\\012\\011 ! min number of wind retrieval points needed per bin to avoid defaults\\0121 ! min_wind_points\\012 ! min number of wind retrieval points required to avoid defaults\\0125 ! min_wdisp_hist_count\\012 ! min number of counts in 2d wind-disparity histogram required to avoid default\\01210.0 ! dflt_height_wind\\012 ! default value of cloud height if wind retrieval fails (km)\\0120.0 ! dflt_speed_wind_along\\012 ! default value of cloud wind if wind retreival fails, along-track (m/sec)\\0120.0 ! dflt_speed_wind_cross\\012 ! default value of cloud wind if wind retreival fails, cross-track (m/sec)\\01212.0 ! wind_speed_diff\\012 ! wind speed differential for merging of search windows (m/sec)\\0120.75 ! min_search_window_frac\\012 ! fraction of data in search window reqiured to be available\\0121.1 ! search_window_pad\\012 ! search window pad dimension, l (km)\\01210 ! target_patch_along\\012 ! target patch size used in height retrievals, along-track (pixels)\\0126 ! target_patch_cross \\012 ! target patch size used in height retrievals, cross-track (pixels)\\0120.75 ! m2_thresh\\012 ! M2 threshold\\0121.00 ! m3_thresh\\012 ! M3 threshold\\0126 ! rs_filter_window_along\\012 ! RS filter window size, along-track direction (pixels)\\0126 ! rs_filter_window_cross\\012 ! RS filter window size, cross-track direction (pixels)\\0120 ! rs_string_size (currently not used)\\012 ! RS along-track string size (pixels)\\01250.0 ! min_median_filter_pcnt\\012 ! minimum population of filter window to perform median filtering (percent)\\0124 ! m2m3_matcher_score\\012 ! M2+M3 matcher score\\0123 ! m2_matcher_score\\012 ! M2 matcher score\\0122 ! m3_matcher_score\\012 ! M3 matcher score\\0121 ! rs_matcher_score\\012 ! RS matcher score\\0120.0 ! min_stereo_cloud_height\\012 ! minimum allowable stereoscopic cloud height. (km)\\01220.0 ! max_stereo_cloud_height\\012 ! maximum allowable stereoscopic cloud height. (km)\\0121000.0 ! max_skew\\012 ! ray skewness blunder threshold (m)\\01210000.0 ! max_skew_zerowind\\012 ! ray skewness blunder threshold (m) for zero-wind heights.\\0120 ! skew_blunder_score\\012 ! ray skewness blunder score\\0121 ! skew_lc_score\\012 ! ray skewness test low confidence score\\012275.0 ! skew_hc_thresh\\012 ! ray skewness test high confidence threshold (m)\\0122 ! skew_hc_score\\012 ! ray skewness test high confidence score\\012562.0 ! height_unc\\012 ! stereoscopic height uncertainty increment\\0128 ! max_hc_score\\012 ! maximum score for declaring a stereoscopic height High Confidence\\0126 ! min_hc_score\\012 ! minimum score for declaring a stereoscopic height High Confidence\\0125 ! max_lc_score\\012 ! maximum score for declaring a stereoscopic height Low Confidence\\0121 ! min_lc_score\\012 ! minimum score for declaring a stereoscopic height Low Confidence\\0125.0 ! max_snow_water_eq\\012 ! maximum equivalent water amount which is not considered snow-covered (mm)\\0125.0 ! max_sea_ice_pcnt\\012 ! maximum sea ice cover which is not considered snow-covered (percent)\\0120.0 ! default_rlra_ht\\012 ! default rlra height (km above terrain)\\0123.0 ! default_cloud_ht\\012 ! default cloud height (km above terrain)\\0127 ! neighborhd_size\\012 ! # of 1.1 km samples, along- and cross-track, in terrain \"neighborhood\"\\0120 3 3 2 2 ! stereo_ht_table\\0121 1 1 1 2 ! stereoscopic height decision matrix (Table 5 of ATB)\\0121 1 1 2 2 ! 0 = \"No Retrieval\"\\0121 1 1 2 2 ! 1 = \"Keep\"\\0121 1 1 2 2 ! 2 = \"Surface\"\\012 ! 3 = \"Default Cloud\"\\0120 2 2 4 4 ! sdcm_table\\0121 1 1 1 4 ! 0 = \"No Retrieval\"\\0122 2 2 4 4 ! 1 = \"CloudHC\"\\0123 3 3 4 4 ! 2 = \"CloudLC\"\\0124 3 3 4 4 ! 3 = \"Near Surface\"\\012 ! 4 = \"Clear\"\\0120.0 ! texture_max_rdqi\\012 ! RDQI thresh for determ what is valid data in calc avg BRFs and text indices\\01292.0 ! max_scat_angle\\012 ! scattering angle threshold for establishing forward scattering\\0122.0 ! max_low_cloud\\012 ! low cloud upper limit for altitude binning (km)\\0126.0 ! max_mid_cloud\\012 ! middle cloud upper limit for altitude binning (km)\\012275.0 ! cloud_thickness\\012 ! assumed cloud thickness used in cloud shadow algorithm (m)\\012550.0 ! ray_cast_step_size\\012 ! horizontal ray-casting step size in cloud and topographic shadow alg (m)\\01235.2 ! max_ray_cast\\012 ! maximum horizontal distance for casting cloud and topographic shadow\\0120.5 ! prev_match_m2_thresh\\012 ! previous match method threshold for M2\\0120.5 ! prev_match_m3_thresh\\012 ! previous match method threshold for M3\\0122 ! pyramid_levels\\012 ! number of levels in stereo image pyramid\\012.FALSE. ! rs_match_flag\\012 ! whether to use the RS stereo matching method (flag)\\0125 ! height_ref_cam\\012 ! stereo height reference camera id\\0124 ! height_comp_cam_fwd\\012 ! stereo height forward comparison camera id\\0126 ! height_comp_cam_aft\\012 ! stereo height aft comparison camera id\\0127 ! previous_window_along\\012 ! along-track size of previous-match-method search window\\0125 ! previous_window_cross\\012 ! cross-track size of previous-match-method search window\\0125 ! pyramid_window_along\\012 ! along-track size of pyramid-match-method search window\\0125 ! pyramid_window_cross\\012 ! cross-track size of pyramid-match-method search window\\0122.0 ! blunder_thresh\\012 ! number of standard deviations used to compute height blunder limits\\012275.0 ! near_ellipsoid_tolerance\\012 ! distance from ellipsoid to be considered a misregistration correction point\\01210\\011 ! min_misreg_points\\012\\011 ! min number of misreg points needed to perform misregistration correction\\0122 ! max_misreg_cross_disp\\012\\011 ! maximum cross-track disparity to allow in misregistration calculation\\0121.5 ! max_misreg_height_diff\\012\\011 ! max diff btw surface ht and disparity-calc ht for point to be included in misreg calc (times resolution)\\0122\\011 ! max_peak_variance_cross\\012\\011 ! maximum cross-track variance from histogram peak to avoid cut\\0122\\011 ! max_peak_variance_along\\012\\011 ! maximum along-track variance from histogram peak to avoid cut\\0121.00\\011 ! max_misreg_cloud_frac\\012\\011 ! max frac of domain classified as cloudy (CLOUD_HC or CLOUD_LC) for misreg calc to be performed\\0125\\011 ! misreg_srch_neighborhd\\012\\011 ! area around point to search for land (NxN)\\0123.0 ! fwdaft_windns_diff_good\\012 ! Wind FwdAft Difference threshold to a wind to be considered good quality\\0125.0 ! fwdaft_windns_diff_bad\\012 ! Wind FwdAft Difference threshold to a wind to be considered bad quality\\0120.30 ! ratio_ntriplets_alltriplets\\012\\011 ! min ratio of triplets to all triplets for wind disparity histograms to be used for wind QA calculations.\\01213\\011 ! wdisp_hist_width_good\\012\\011 ! max histogram width to be called good quality.\\01225\\011 ! wdisp_hist_width_bad\\012\\011 ! histogram width at or above which is called bad quality.\\0123\\011 ! min_ngoodhist_vgwind\\012\\011 ! min number of good quality histograms for wind to be very good.\\0120\\011 ! max_nbadhist_vgwind\\012\\011 ! max number of bad quality histograms for wind to be very good quality.\\0122\\011 ! min_ngoodhist_goodwind\\012\\011 ! min number of good quality histograms for wind to be good quality.\\0121\\011 ! max_nbadhist_goodwind\\012\\011 ! max number of bad quality histograms for wind to be good quality.\\0121\\011 ! min_ngoodhist_badwind\\012\\011 ! min number of good quality histograms for wind to be bad quality.\\0122\\011 ! min_nbadhist_badwind \\012\\011 ! min number of bad quality histograms for wind to be bad quality.\\0120.1 ! max_frac_bad_winds\\012 ! maximum allowable fraction of winds to fail the FwdAft quality test\\0129999.0 ! max_mean_fwdaft_diff1 \\012 ! maximum allowable mean value of NS Wind FwdAft difference for good winds\\0128.0 ! max_mean_fwdaft_diff\\012 ! maximum allowable mean value of NS Wind FwdAft difference for all winds\\0120.75 ! max_frac_bad_gdqi\\012 ! maximum allowable fraction of bad GDQI's per camera\\012\\012\\012-------------------\\012! Aerosol Retrieval Configuration File parameters\\012! Reference: Level 2 Aerosol Retrieval Algorithm\\012! Theoretical Basis Document, JPL D-11400\\012!------------------------------------------------\\012!\\012!----------------------------------------------------\\012! (1) Parameters that apply to all aerosol retrievals\\012!----------------------------------------------------\\0120.2 ! mu0_thresh\\012 ! regional cosine of solar zenith angle threshold\\012500. ! region_topo_complex_thresh\\012 ! regional topographic complexity threshold (m)\\012100. ! hc_cloud_pcnt_thresh\\012 ! regional cloudiness threshold for high confidence cloud percent\\012100. ! lc_cloud_pcnt_thresh\\012 ! regional cloudiness threshold for low confidence cloud percent\\0121 ! rdqi1\\012 ! maximum acceptable RDQI used in averaging data to appropriate resolution\\0123 ! rdqi2\\012 ! RDQI value to use during the comp of avg RDQI, for each RDQI > RDQI1\\012250. ! subr_topo_complex_thresh\\012 ! subregional topographic complexity threshold (m)\\01220. ! max_subr_avg_slope\\012 ! max allowable subregion average slope (degrees)\\0125 ! nsdcm_class\\012 ! number of SDCM cloud classifications\\0125 ! nrccm_class\\012 ! number of RCCM cloud classifications\\0125 ! nascm_class\\012 ! number of ASCM cloud classifications\\0123 ! nsurf_class\\012 ! number of surface classifications\\0121 ! water_algorithm_type\\012 ! Algorithm to use for aerosol retrievals over water. \\012 ! 1 = dark water algorithm \\012 ! 9 = water algorithm\\012!----------------------------------------------------------\\012! Atmospheric State Decision Matrix:\\012! cloud_mask_decision_matrix(RCCM, SDCM, ASCM, surface classification)\\012! 1 => CLEAR, ALLOW BRIGHT OVERRIDE\\012! 3 => CLOUDY, ALLOW SVM OVERRIDE\\012! 7 => CLOUDY, PROHIBIT SVM OVERRIDE\\012! 9 => CLEAR, PROHIBIT BRIGHT OVERRIDE\\012! RCCM classifications in each row, ordered from left to right, are\\012! NotAvailable CloudHC CloudLC ClearLC ClearHC\\012!----------------------------------------------------------\\012! Snow/ice: ASCM = NotAvailable\\0127 7 7 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,NotAvailable,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudHC,NotAvailable,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudLC,NotAvailable,Snow/ice)\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,NotAvailable,Snow/ice)\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,NotAvailable,Snow/ice)\\012! Snow/ice: ASCM = CloudHC\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,NotAvailable,CloudHC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudHC,CloudHC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudLC,CloudHC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,NearSurfaceLC,CloudHC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,NearSurfaceHC,CloudHC,Snow/ice)\\012! Snow/ice: ASCM = CloudLC\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,NotAvailable,CloudLC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudHC,CloudLC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudLC,CloudLC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,NearSurfaceLC,CloudLC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,NearSurfaceHC,CloudLC,Snow/ice)\\012! Snow/ice: ASCM = ClearLC\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,ClearLC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudHC,ClearLC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudLC,ClearLC,Snow/ice)\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,ClearLC,Snow/ice)\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,ClearLC,Snow/ice)\\012! Snow/ice: ASCM = ClearHC\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,ClearHC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudHC,ClearHC,Snow/ice)\\0127 7 7 7 7 ! cloud_mask_decision_matrix(:,CloudLC,ClearHC,Snow/ice)\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,ClearHC,Snow/ice)\\0129 7 7 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,ClearHC,Snow/ice)\\012! Water: ASCM = NotAvailable\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,NotAvailable,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,NotAvailable,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,NotAvailable,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,NotAvailable,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,NotAvailable,Water)\\012! Water: ASCM = CloudHC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,CloudHC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,CloudHC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,CloudHC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,CloudHC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,CloudHC,Water)\\012! Water: ASCM = CloudLC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,CloudLC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,CloudLC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,CloudLC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,CloudLC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,CloudLC,Water)\\012! Water: ASCM = ClearLC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,ClearLC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,ClearLC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,ClearLC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,ClearLC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,ClearLC,Water)\\012! Water: ASCM = ClearHC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,ClearHC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,ClearHC,Water)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,ClearHC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,ClearHC,Water)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,ClearHC,Water)\\012! Land: ASCM = NotAvailable\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,NotAvailable,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,NotAvailable,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,NotAvailable,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,NotAvailable,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,NotAvailable,Land)\\012! Land: ASCM = CloudHC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,CloudHC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,CloudHC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,CloudHC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,CloudHC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,CloudHC,Land)\\012! Land: ASCM = CloudLC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,CloudLC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,CloudLC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,CloudLC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,CloudLC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,CloudLC,Land)\\012! Land: ASCM = ClearLC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,ClearLC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,ClearLC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,ClearLC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,ClearLC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceHC,ClearLC,Land)\\012! Land: ASCM = ClearHC\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NotAvailable,ClearHC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudHC,ClearHC,Land)\\0121 7 7 9 9 ! cloud_mask_decision_matrix(:,CloudLC,ClearHC,Land)\\0121 1 1 9 9 ! cloud_mask_decision_matrix(:,NearSurfaceLC,Clear`^\\214\\232\\377\\177" StructMetadata.GridStructure.GRID_1.GridName: "LandParameterAverage" StructMetadata.GridStructure.GRID_1.XDim: 720 StructMetadata.GridStructure.GRID_1.YDim: 360 StructMetadata.GridStructure.GRID_1.UpperLeftPointMtrs: -180000000.000000, 90000000.000000 StructMetadata.GridStructure.GRID_1.LowerRightMtrs: 180000000.000000, -90000000.000000 StructMetadata.GridStructure.GRID_1.Projection: GCTP_GEO StructMetadata.GridStructure.GRID_1.Dimension.Dimension_1.DimensionName: "Band" StructMetadata.GridStructure.GRID_1.Dimension.Dimension_1.Size: 4 StructMetadata.GridStructure.GRID_1.DataField.DataField_1.DataFieldName: "Average fill flag" StructMetadata.GridStructure.GRID_1.DataField.DataField_1.DataType: DFNT_INT8 StructMetadata.GridStructure.GRID_1.DataField.DataField_1.DimList: "YDim", "XDim" StructMetadata.GridStructure.GRID_1.DataField.DataField_2.DataFieldName: "DHR average" StructMetadata.GridStructure.GRID_1.DataField.DataField_2.DataType: DFNT_FLOAT32 StructMetadata.GridStructure.GRID_1.DataField.DataField_2.DimList: "YDim", "XDim", "Band" StructMetadata.GridStructure.GRID_1.DataField.DataField_3.DataFieldName: "DHR average count" StructMetadata.GridStructure.GRID_1.DataField.DataField_3.DataType: DFNT_INT32 StructMetadata.GridStructure.GRID_1.DataField.DataField_3.DimList: "YDim", "XDim", "Band" StructMetadata.GridStructure.GRID_1.DataField.DataField_4.DataFieldName: "DHRPAR average" StructMetadata.GridStructure.GRID_1.DataField.DataField_4.DataType: DFNT_FLOAT32 StructMetadata.GridStructure.GRID_1.DataField.DataField_4.DimList: "YDim", "XDim" StructMetadata.GridStructure.GRID_1.DataField.DataField_5.DataFieldName: "DHRPAR average count" StructMetadata.GridStructure.GRID_1.DataField.DataField_5.DataType: DFNT_INT32 StructMetadata.GridStructure.GRID_1.DataField.DataField_5.DimList: "YDim", "XDim" StructMetadata.GridStructure.GRID_1.DataField.DataField_6.DataFieldName: "DHR Shortwave approximation average" StructMetadata.GridStructure.GRID_1.DataField.DataField_6.DataType: DFNT_FLOAT32 StructMetadata.GridStructure.GRID_1.DataField.DataField_6.DimList: "YDim", "XDim" StructMetadata.GridStructure.GRID_1.DataField.DataField_7.DataFieldName: "DHR Shortwave approximation average count" StructMetadata.GridStructure.GRID_1.DataField.DataField_7.DataType: DFNT_INT32 StructMetadata.GridStructure.GRID_1.DataField.DataField_7.DimList: "YDim", "XDim" StructMetadata.GridStructure.GRID_1.DataField.DataField_8.DataFieldName: "FPAR average" StructMetadata.GridStructure.GRID_1.DataField.DataField_8.DataType: DFNT_FLOAT32 StructMetadata.GridStructure.GRID_1.DataField.DataField_8.DimList: "YDim", "XDim" StructMetadata.GridStructure.GRID_1.DataField.DataField_9.DataFieldName: "FPAR average count" StructMetadata.GridStructure.GRID_1.DataField.DataField_9.DataType: DFNT_INT32 StructMetadata.GridStructure.GRID_1.DataField.DataField_9.DimList: "YDim", "XDim" StructMetadata.GridStructure.GRID_1.DataField.DataField_10.DataFieldName: "LAI average" StructMetadata.GridStructure.GRID_1.DataField.DataField_10.DataType: DFNT_FLOAT32 StructMetadata.GridStructure.GRID_1.DataField.DataField_10.DimList: "YDim", "XDim" StructMetadata.GridStructure.GRID_1.DataField.DataField_11.DataFieldName: "LAI average count" StructMetadata.GridStructure.GRID_1.DataField.DataField_11.DataType: DFNT_INT32 StructMetadata.GridStructure.GRID_1.DataField.DataField_11.DimList: "YDim", "XDim" StructMetadata.GridStructure.GRID_1.DataField.DataField_12.DataFieldName: "NDVI average" StructMetadata.GridStructure.GRID_1.DataField.DataField_12.DataType: DFNT_FLOAT32 StructMetadata.GridStructure.GRID_1.DataField.DataField_12.DimList: "YDim", "XDim" StructMetadata.GridStructure.GRID_1.DataField.DataField_13.DataFieldName: "NDVI average count" StructMetadata.GridStructure.GRID_1.DataField.DataField_13.DataType: DFNT_INT32 StructMetadata.GridStructure.GRID_1.DataField.DataField_13.DimList: "YDim", "XDim" StructMetadata.GridStructure.LandParameterAverage.GridName: "LandParameterAverage" StructMetadata.GridStructure.LandParameterAverage.XDim: 720 StructMetadata.GridStructure.LandParameterAverage.YDim: 360 StructMetadata.GridStructure.LandParameterAverage.UpperLeftPointMtrs: -180000000.000000, 90000000.000000 StructMetadata.GridStructure.LandParameterAverage.LowerRightMtrs: 180000000.000000, -90000000.000000 StructMetadata.GridStructure.LandParameterAverage.Projection: GCTP_GEO StructMetadata.GridStructure.LandParameterAverage.Dimension.Dimension_1.DimensionName: "Band" StructMetadata.GridStructure.LandParameterAverage.Dimension.Dimension_1.Size: 4 StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_1.DataFieldName: "Average fill flag" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_1.DataType: DFNT_INT8 StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_1.DimList: "YDim", "XDim" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_2.DataFieldName: "DHR average" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_2.DataType: DFNT_FLOAT32 StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_2.DimList: "YDim", "XDim", "Band" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_3.DataFieldName: "DHR average count" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_3.DataType: DFNT_INT32 StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_3.DimList: "YDim", "XDim", "Band" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_4.DataFieldName: "DHRPAR average" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_4.DataType: DFNT_FLOAT32 StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_4.DimList: "YDim", "XDim" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_5.DataFieldName: "DHRPAR average count" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_5.DataType: DFNT_INT32 StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_5.DimList: "YDim", "XDim" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_6.DataFieldName: "DHR Shortwave approximation average" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_6.DataType: DFNT_FLOAT32 StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_6.DimList: "YDim", "XDim" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_7.DataFieldName: "DHR Shortwave approximation average count" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_7.DataType: DFNT_INT32 StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_7.DimList: "YDim", "XDim" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_8.DataFieldName: "FPAR average" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_8.DataType: DFNT_FLOAT32 StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_8.DimList: "YDim", "XDim" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_9.DataFieldName: "FPAR average count" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_9.DataType: DFNT_INT32 StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_9.DimList: "YDim", "XDim" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_10.DataFieldName: "LAI average" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_10.DataType: DFNT_FLOAT32 StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_10.DimList: "YDim", "XDim" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_11.DataFieldName: "LAI average count" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_11.DataType: DFNT_INT32 StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_11.DimList: "YDim", "XDim" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_12.DataFieldName: "NDVI average" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_12.DataType: DFNT_FLOAT32 StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_12.DimList: "YDim", "XDim" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_13.DataFieldName: "NDVI average count" StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_13.DataType: DFNT_INT32 StructMetadata.GridStructure.LandParameterAverage.DataField.DataField_13.DimList: "YDim", "XDim" coremetadata.INVENTORYMETADATA.GROUPTYPE: MASTERGROUP coremetadata.INVENTORYMETADATA.ECSDATAGRANULE.LOCALGRANULEID.NUM_VAL: 1 coremetadata.INVENTORYMETADATA.ECSDATAGRANULE.LOCALGRANULEID.VALUE: "MISR_AM1_CGLS_2002_F04_0021.hdf" coremetadata.INVENTORYMETADATA.ECSDATAGRANULE.PRODUCTIONDATETIME.NUM_VAL: 1 coremetadata.INVENTORYMETADATA.ECSDATAGRANULE.PRODUCTIONDATETIME.VALUE: "2006-08-28T00:58:21.000Z" coremetadata.INVENTORYMETADATA.ECSDATAGRANULE.LOCALVERSIONID.NUM_VAL: 1 coremetadata.INVENTORYMETADATA.ECSDATAGRANULE.LOCALVERSIONID.VALUE: "MISR_EXEC_VERSION: V4.0_i2_PGE12CP MISR_EXEC_NAME:pge12cp.cc" coremetadata.INVENTORYMETADATA.PGEVERSIONCLASS.PGEVERSION.NUM_VAL: 1 coremetadata.INVENTORYMETADATA.PGEVERSIONCLASS.PGEVERSION.VALUE: "4.0" coremetadata.INVENTORYMETADATA.MEASUREDPARAMETER.MEASUREDPARAMETERCONTAINER.CLASS: "1" coremetadata.INVENTORYMETADATA.MEASUREDPARAMETER.MEASUREDPARAMETERCONTAINER.QAFLAGS.CLASS: "1" coremetadata.INVENTORYMETADATA.MEASUREDPARAMETER.MEASUREDPARAMETERCONTAINER.QAFLAGS.AUTOMATICQUALITYFLAGEXPLANATION.NUM_VAL: 1 coremetadata.INVENTORYMETADATA.MEASUREDPARAMETER.MEASUREDPARAMETERCONTAINER.QAFLAGS.AUTOMATICQUALITYFLAGEXPLANATION.CLASS: "1" coremetadata.INVENTORYMETADATA.MEASUREDPARAMETER.MEASUREDPARAMETERCONTAINER.QAFLAGS.AUTOMATICQUALITYFLAGEXPLANATION.VALUE: "Automatic quality determination software not yet implemented" coremetadata.INVENTORYMETADATA.MEASUREDPARAMETER.MEASUREDPARAMETERCONTAINER.QAFLAGS.AUTOMATICQUALITYFLAG.NUM_VAL: 1 coremetadata.INVENTORYMETADATA.MEASUREDPARAMETER.MEASUREDPARAMETERCONTAINER.QAFLAGS.AUTOMATICQUALITYFLAG.CLASS: "1" coremetadata.INVENTORYMETADATA.MEASUREDPARAMETER.MEASUREDPARAMETERCONTAINER.QAFLAGS.AUTOMATICQUALITYFLAG.VALUE: "Not Investigated" coremetadata.INVENTORYMETADATA.MEASUREDPARAMETER.MEASUREDPARAMETERCONTAINER.PARAMETERNAME.CLASS: "1" coremetadata.INVENTORYMETADATA.MEASUREDPARAMETER.MEASUREDPARAMETERCONTAINER.PARAMETERNAME.NUM_VAL: 1 coremetadata.INVENTORYMETADATA.MEASUREDPARAMETER.MEASUREDPARAMETERCONTAINER.PARAMETERNAME.VALUE: "Granule" coremetadata.INVENTORYMETADATA.COLLECTIONDESCRIPTIONCLASS.VERSIONID.NUM_VAL: 1 coremetadata.INVENTORYMETADATA.COLLECTIONDESCRIPTIONCLASS.VERSIONID.VALUE: 4 coremetadata.INVENTORYMETADATA.COLLECTIONDESCRIPTIONCLASS.SHORTNAME.NUM_VAL: 1 coremetadata.INVENTORYMETADATA.COLLECTIONDESCRIPTIONCLASS.SHORTNAME.VALUE: "MIL3YLS" coremetadata.INVENTORYMETADATA.INPUTGRANULE.INPUTPOINTER.NUM_VAL: 110 coremetadata.INVENTORYMETADATA.INPUTGRANULE.INPUTPOINTER.VALUE: "MISR_AM1_PGE12CP_PCS_CONFIG_F01_0002.ascii", "LGID:MIL3YAE:003:MISR_AM1_CGAS_2002_F07_0020.hdf", "LGID:MIL3YLS:003:MISR_AM1_CGLS_2002_F05_0020.hdf" coremetadata.INVENTORYMETADATA.SPATIALDOMAINCONTAINER.HORIZONTALSPATIALDOMAINCONTAINER.BOUNDINGRECTANGLE.EASTBOUNDINGCOORDINATE.NUM_VAL: 1 coremetadata.INVENTORYMETADATA.SPATIALDOMAINCONTAINER.HORIZONTALSPATIALDOMAINCONTAINER.BOUNDINGRECTANGLE.EASTBOUNDINGCOORDINATE.VALUE: 180.0000000000000 coremetadata.INVENTORYMETADATA.SPATIALDOMAINCONTAINER.HORIZONTALSPATIALDOMAINCONTAINER.BOUNDINGRECTANGLE.WESTBOUNDINGCOORDINATE.NUM_VAL: 1 coremetadata.INVENTORYMETADATA.SPATIALDOMAINCONTAINER.HORIZONTALSPATIALDOMAINCONTAINER.BOUNDINGRECTANGLE.WESTBOUNDINGCOORDINATE.VALUE: -180.0000000000000 coremetadata.INVENTORYMETADATA.SPATIALDOMAINCONTAINER.HORIZONTALSPATIALDOMAINCONTAINER.BOUNDINGRECTANGLE.SOUTHBOUNDINGCOORDINATE.NUM_VAL: 1 coremetadata.INVENTORYMETADATA.SPATIALDOMAINCONTAINER.HORIZONTALSPATIALDOMAINCONTAINER.BOUNDINGRECTANGLE.SOUTHBOUNDINGCOORDINATE.VALUE: -90.00000000000000 coremetadata.INVENTORYMETADATA.SPATIALDOMAINCONTAINER.HORIZONTALSPATIALDOMAINCONTAINER.BOUNDINGRECTANGLE.NORTHBOUNDINGCOORDINATE.NUM_VAL: 1 coremetadata.INVENTORYMETADATA.SPATIALDOMAINCONTAINER.HORIZONTALSPATIALDOMAINCONTAINER.BOUNDINGRECTANGLE.NORTHBOUNDINGCOORDINATE.VALUE: 90.00000000000000 coremetadata.INVENTORYMETADATA.RANGEDATETIME.RANGEENDINGDATE.NUM_VAL: 1 coremetadata.INVENTORYMETADATA.RANGEDATETIME.RANGEENDINGDATE.VALUE: "2002-11-30" coremetadata.INVENTORYMETADATA.RANGEDATETIME.RANGEENDINGTIME.NUM_VAL: 1 coremetadata.INVENTORYMETADATA.RANGEDATETIME.RANGEENDINGTIME.VALUE: "23:59:59" coremetadata.INVENTORYMETADATA.RANGEDATETIME.RANGEBEGINNINGDATE.NUM_VAL: 1 coremetadata.INVENTORYMETADATA.RANGEDATETIME.RANGEBEGINNINGDATE.VALUE: "2001-12-01" coremetadata.INVENTORYMETADATA.RANGEDATETIME.RANGEBEGINNINGTIME.NUM_VAL: 1 coremetadata.INVENTORYMETADATA.RANGEDATETIME.RANGEBEGINNINGTIME.VALUE: "00:00:00" coremetadata.INVENTORYMETADATA.ADDITIONALATTRIBUTES.ADDITIONALATTRIBUTESCONTAINER.CLASS: "1" coremetadata.INVENTORYMETADATA.ADDITIONALATTRIBUTES.ADDITIONALATTRIBUTESCONTAINER.ADDITIONALATTRIBUTENAME.CLASS: "1" coremetadata.INVENTORYMETADATA.ADDITIONALATTRIBUTES.ADDITIONALATTRIBUTESCONTAINER.ADDITIONALATTRIBUTENAME.NUM_VAL: 1 coremetadata.INVENTORYMETADATA.ADDITIONALATTRIBUTES.ADDITIONALATTRIBUTESCONTAINER.ADDITIONALATTRIBUTENAME.VALUE: "SP_AM_MISR_ProductVersion" coremetadata.INVENTORYMETADATA.ADDITIONALATTRIBUTES.ADDITIONALATTRIBUTESCONTAINER.INFORMATIONCONTENT.CLASS: "1" coremetadata.INVENTORYMETADATA.ADDITIONALATTRIBUTES.ADDITIONALATTRIBUTESCONTAINER.INFORMATIONCONTENT.PARAMETERVALUE.NUM_VAL: 1 coremetadata.INVENTORYMETADATA.ADDITIONALATTRIBUTES.ADDITIONALATTRIBUTESCONTAINER.INFORMATIONCONTENT.PARAMETERVALUE.CLASS: "1" coremetadata.INVENTORYMETADATA.ADDITIONALATTRIBUTES.ADDITIONALATTRIBUTESCONTAINER.INFORMATIONCONTENT.PARAMETERVALUE.VALUE: "21"

Variables:	Structure LandParameterAverage Structure Data Fields Average fill flag: Array of 32 bit Integers [YDim:LandParameterAverage = 0..359][XDim:LandParameterAverage = 0..719] YDim:LandParameterAverage: XDim:LandParameterAverage: _FillValue: 0 dim_0.name: "YDim:LandParameterAverage" dim_1.name: "XDim:LandParameterAverage" DHR average: Array of 32 bit Reals [YDim:LandParameterAverage = 0..359][XDim:LandParameterAverage = 0..719][Band:LandParameterAverage = 0..3] YDim:LandParameterAverage: XDim:LandParameterAverage: Band:LandParameterAverage: _FillValue: -9999 dim_0.name: "YDim:LandParameterAverage" dim_1.name: "XDim:LandParameterAverage" dim_2.name: "Band:LandParameterAverage" DHR average count: Array of 32 bit Integers [YDim:LandParameterAverage = 0..359][XDim:LandParameterAverage = 0..719][Band:LandParameterAverage = 0..3] YDim:LandParameterAverage: XDim:LandParameterAverage: Band:LandParameterAverage: _FillValue: 0 dim_0.name: "YDim:LandParameterAverage" dim_1.name: "XDim:LandParameterAverage" dim_2.name: "Band:LandParameterAverage" DHRPAR average: Array of 32 bit Reals [YDim:LandParameterAverage = 0..359][XDim:LandParameterAverage = 0..719] YDim:LandParameterAverage: XDim:LandParameterAverage: _FillValue: -9999 dim_0.name: "YDim:LandParameterAverage" dim_1.name: "XDim:LandParameterAverage" DHRPAR average count: Array of 32 bit Integers [YDim:LandParameterAverage = 0..359][XDim:LandParameterAverage = 0..719] YDim:LandParameterAverage: XDim:LandParameterAverage: _FillValue: 0 dim_0.name: "YDim:LandParameterAverage" dim_1.name: "XDim:LandParameterAverage" DHR Shortwave approximation average: Array of 32 bit Reals [YDim:LandParameterAverage = 0..359][XDim:LandParameterAverage = 0..719] YDim:LandParameterAverage: XDim:LandParameterAverage: _FillValue: -9999 dim_0.name: "YDim:LandParameterAverage" dim_1.name: "XDim:LandParameterAverage" DHR Shortwave approximation average count: Array of 32 bit Integers [YDim:LandParameterAverage = 0..359][XDim:LandParameterAverage = 0..719] YDim:LandParameterAverage: XDim:LandParameterAverage: _FillValue: 0 dim_0.name: "YDim:LandParameterAverage" dim_1.name: "XDim:LandParameterAverage" FPAR average: Array of 32 bit Reals [YDim:LandParameterAverage = 0..359][XDim:LandParameterAverage = 0..719] YDim:LandParameterAverage: XDim:LandParameterAverage: _FillValue: -9999 dim_0.name: "YDim:LandParameterAverage" dim_1.name: "XDim:LandParameterAverage" FPAR average count: Array of 32 bit Integers [YDim:LandParameterAverage = 0..359][XDim:LandParameterAverage = 0..719] YDim:LandParameterAverage: XDim:LandParameterAverage: _FillValue: 0 dim_0.name: "YDim:LandParameterAverage" dim_1.name: "XDim:LandParameterAverage" LAI average: Array of 32 bit Reals [YDim:LandParameterAverage = 0..359][XDim:LandParameterAverage = 0..719] YDim:LandParameterAverage: XDim:LandParameterAverage: _FillValue: -9999 dim_0.name: "YDim:LandParameterAverage" dim_1.name: "XDim:LandParameterAverage" LAI average count: Array of 32 bit Integers [YDim:LandParameterAverage = 0..359][XDim:LandParameterAverage = 0..719] YDim:LandParameterAverage: XDim:LandParameterAverage: _FillValue: 0 dim_0.name: "YDim:LandParameterAverage" dim_1.name: "XDim:LandParameterAverage" NDVI average: Array of 32 bit Reals [YDim:LandParameterAverage = 0..359][XDim:LandParameterAverage = 0..719] YDim:LandParameterAverage: XDim:LandParameterAverage: _FillValue: -9999 dim_0.name: "YDim:LandParameterAverage" dim_1.name: "XDim:LandParameterAverage" NDVI average count: Array of 32 bit Integers [YDim:LandParameterAverage = 0..359][XDim:LandParameterAverage = 0..719] YDim:LandParameterAverage: XDim:LandParameterAverage: _FillValue: 0 dim_0.name: "YDim:LandParameterAverage" dim_1.name: "XDim:LandParameterAverage"
	Sequence Source file Structure Orbit number Orbit number__0: 32 bit Integer Orbit number__0 Structure Path number Path number__0: Byte Path number__0