netcdf maovisstpxg13minnisX1.c1.20151231.001500 { dimensions: time = UNLIMITED ; // (1514736 currently) index = 48 ; variables: int base_time ; base_time:string = "2015-12-31, 00:00:00 GMT" ; base_time:long_name = "base time in epoch" ; base_time:units = "seconds since 1970-1-1 0:00:00 GMT" ; double time_offset(time) ; time_offset:long_name = "Time offset from base_time" ; time_offset:units = "seconds since 2015-12-31 00:00:00 GMT" ; double time(time) ; time:long_name = "Time offset from midnight" ; time:units = "seconds since 2015-12-31 00:00:00 GMT" ; float image_times(index) ; image_times:long_name = "Image times offset from base time" ; image_times:units = "seconds since 2015-12-31 00:00:00 GMT" ; float image_start(index) ; image_start:long_name = "Image start index" ; image_start:usage = "Images are merged together. Individual images can be extracted using the image index fields as in the following IDL example for given image n:\n", "rv = reflectance_vis(image_start(n-1):image_start(n-1)+image_numpix(n-1)-1)" ; float image_numpix(index) ; image_numpix:long_name = "Number of pixels for each image" ; float latitude(time) ; latitude:valid_min = -90.f ; latitude:valid_max = 90.f ; latitude:long_name = "north latitude" ; latitude:units = "deg" ; float longitude(time) ; longitude:valid_min = -180.f ; longitude:valid_max = 180.f ; longitude:long_name = "east longitude" ; longitude:units = "deg" ; float reflectance_vis(time) ; reflectance_vis:valid_min = 0.f ; reflectance_vis:valid_max = 1.6f ; reflectance_vis:long_name = "Visible reflectance (0.65 um)" ; reflectance_vis:units = "unitless" ; float reflectance_nir(time) ; reflectance_nir:valid_min = 0.f ; reflectance_nir:valid_max = 1.6f ; reflectance_nir:long_name = "Near Infrared reflectance (1.6 um)" ; reflectance_nir:units = "unitless" ; float temperature_sir(time) ; temperature_sir:valid_min = 160.f ; temperature_sir:valid_max = 340.f ; temperature_sir:long_name = "Solar Infrared temperature (3.9 um)" ; temperature_sir:units = "K" ; float temperature_ir(time) ; temperature_ir:valid_min = 160.f ; temperature_ir:valid_max = 340.f ; temperature_ir:long_name = "Infrared Channel temperature (10.8 um)" ; temperature_ir:units = "K" ; float temperature_sw(time) ; temperature_sw:valid_min = 160.f ; temperature_sw:valid_max = 340.f ; temperature_sw:long_name = "Split-Window Channel temperature (11.9 um)" ; temperature_sw:units = "K" ; float broadband_shortwave_albedo(time) ; broadband_shortwave_albedo:valid_min = 0.f ; broadband_shortwave_albedo:valid_max = 150.f ; broadband_shortwave_albedo:long_name = "broadband SW albedo" ; broadband_shortwave_albedo:units = "%" ; float broadband_longwave_flux(time) ; broadband_longwave_flux:valid_min = 0.f ; broadband_longwave_flux:valid_max = 400.f ; broadband_longwave_flux:long_name = "broadband LW flux" ; broadband_longwave_flux:units = "W/m^2" ; float ir_cloud_emittance(time) ; ir_cloud_emittance:valid_min = 0.f ; ir_cloud_emittance:valid_max = 1.5f ; ir_cloud_emittance:long_name = "IR cloud emittance" ; ir_cloud_emittance:units = "unitless" ; int cloud_phase(time) ; cloud_phase:valid_min = 0 ; cloud_phase:valid_max = 7 ; cloud_phase:long_name = "cloud phase" ; cloud_phase:units = "unitless" ; cloud_phase:value_0 = "clear over snow/ice" ; cloud_phase:value_1 = "water" ; cloud_phase:value_2 = "ice" ; cloud_phase:value_3 = "no retrieval" ; cloud_phase:value_4 = "clear" ; cloud_phase:value_5 = "bad retrieval" ; cloud_phase:value_6 = "suspected water" ; cloud_phase:value_7 = "suspected ice" ; float visible_optical_depth(time) ; visible_optical_depth:valid_min = 0.f ; visible_optical_depth:valid_max = 150.f ; visible_optical_depth:long_name = "cloud optical depth" ; visible_optical_depth:units = "unitless" ; float particle_size(time) ; particle_size:valid_min = 0.f ; particle_size:valid_max = 150.f ; particle_size:long_name = "effective particle radius or diameter" ; particle_size:units = "microns" ; particle_size:value_1 = "If phase=1 (water), this parameter is radius." ; particle_size:value_2 = "If phase=2 (ice), this parameter is diameter." ; float liquid_water_path(time) ; liquid_water_path:valid_min = 0.f ; liquid_water_path:valid_max = 6000.f ; liquid_water_path:long_name = "Liquid or Ice Water Path" ; liquid_water_path:units = "g/m^2" ; liquid_water_path:value_1 = "NOTE: If phase is 1 (water), this is Liquid Water Path." ; liquid_water_path:value_2 = "NOTE: If phase is 2 (ice), this is Ice Water Path." ; float cloud_effective_temperature(time) ; cloud_effective_temperature:valid_min = 160.f ; cloud_effective_temperature:valid_max = 340.f ; cloud_effective_temperature:long_name = "Effective cloud temperature" ; cloud_effective_temperature:units = "K" ; float cloud_top_pressure(time) ; cloud_top_pressure:valid_min = 0.f ; cloud_top_pressure:valid_max = 1100.f ; cloud_top_pressure:long_name = "cloud top pressure" ; cloud_top_pressure:units = "hPa" ; float cloud_effective_pressure(time) ; cloud_effective_pressure:valid_min = 0.f ; cloud_effective_pressure:valid_max = 1100.f ; cloud_effective_pressure:long_name = "Effective cloud pressure" ; cloud_effective_pressure:units = "hPa" ; float cloud_bottom_pressure(time) ; cloud_bottom_pressure:valid_min = 0.f ; cloud_bottom_pressure:valid_max = 1100.f ; cloud_bottom_pressure:long_name = "cloud bottom pressure" ; cloud_bottom_pressure:units = "hPa" ; float cloud_top_height(time) ; cloud_top_height:valid_min = -0.1f ; cloud_top_height:valid_max = 20.f ; cloud_top_height:long_name = "cloud top height" ; cloud_top_height:units = "km" ; float cloud_effective_height(time) ; cloud_effective_height:valid_min = -0.1f ; cloud_effective_height:valid_max = 20.f ; cloud_effective_height:long_name = "cloud effective height" ; cloud_effective_height:units = "km" ; float cloud_bottom_height(time) ; cloud_bottom_height:valid_min = -0.1f ; cloud_bottom_height:valid_max = 20.f ; cloud_bottom_height:long_name = "cloud bottom height" ; cloud_bottom_height:units = "km" ; // global attributes: :NetCDF_Version = "netCDF 4.0.1" ; :Title = "Pixel-level cloud products " ; :source = "NASA Langley Research Center" ; :version = "V4.1" ; :date = "VISST processed on Dec31 01:51" ; :facility_id = "X1" ; :site_id = "mao" ; :location = "mao" ; :data_level = "c1" ; :missing_value = "-9999." ; :zeb_platform = "maovisstpxg13minnisX1.c1" ; :history = "created by user mk on machine ssai at Tue Jan 5 21:17:08 2016 UTC, using IDL 8.1" ; :input_files = "GOES-13" ; :resolution = "4km" ; :reflectance_vis_note1 = "effective_wavelength_visst = 0.65 um" ; :reflectance_vis_note2 = "spectral_width_instrument = 0.5370 um - 0.7090 um" ; :temperature_sir_note1 = "effective_wavelength_visst = 3.9 um" ; :temperature_sir_note2 = "spectral_width_instrument = 3.7306 um - 4.0848 um" ; :temperature_ir_note1 = "effective_wavelength_visst = 10.8 um" ; :temperature_ir_note2 = "spectral_width_instrument = 10.1947 um - 11.1782 um" ; :temperature_sw_note1 = "effective_wavelength_visst = 13.3 um" ; :temperature_sw_note2 = "spectral_width_instrument = 13.0056 - 13.7061 um" ; :longwave_NB_BB_correlation = "The LW NB-BB correlation is given by Mbb = a + b*Mnb + c*Mnb*Mnb + dMnb*ln(colRH), where Mbb is the BB OLR(Wm-2), Mnb is the NB flux(Wm-2um-1), and colRH is the column-weighted relative humidity(%) above the radiating surface. The coefficients are a=87.73, b=4.53,c=-.00651, and d=-.15872. The fits were derived from Jul-Aug 2002 GOES-8 vs CERES Terra fluxes over the CRYSTAL domain. The CERES limb-darkening function is used to convert NB radiance to flux. These fluxes are preliminary. REFERENCE: Doelling, D. R, M.M. Khaiyer, and P. Minnis: 2003, Improved ARM-SGP TOA OLR Fluxes from GOES-8 IR Radiances based on CERES data, Proc. of 13th Annual ARM Science Team Meeting, Boulder, CO, March 31 to April 4, 2003. http://www.arm.gov/publications/proceedings/conf13/ " ; :shortwave_NB_BB_correlation = "The SW NB-BB correlation is given by Abb = a + b*Anb + c*Anb*Anb + d*ln(1/cos(SZA)), where Abb is the BB albedo (fraction), Anb is the NB albedo (fraction) and SZA is the solar zenith angle (deg). The coefficients are a=0.05646,b=0.6658, c=0.05843, and d=0.07 for land regions, and a=0.01983,b=0.7628,c=-0.01485,and d=0.07 for water regions. The relationship was derived from Jul-Aug 2002 GOES-8 vs CERES Terra fluxes over the CRYSTAL domain. The ERBE bidirectional model is used to convert NB reflectance to albedo. These albedos are preliminary. REFERENCE: V.Chakrapani, D.R.Doelling, M.M.Khaiyer, and P.Minnis: 2003, New Visible to Broadband Shortwave Conversions for Deriving Albedos from GOES-8 Over the ARM SGP, Proc. of 13th Annual ARM Science Team Meeting, Boulder, CO, March 31 to April 4, 2003. http://www.arm.gov/publications/proceedings/conf13/" ; :visible_calibration = "The GOES-13 visible calibration equation is Rad(0.65um) = (g0 + g1*d + g2*d*d)*(C-C0), where g0=5.17e-01, g1=0.000180, g2=-2.59e-08, C= visible channel count, C0=is the visible0 channel offset (29.0), d is the number of days since reference. REFERENCE: Nguyen, L, D.R. Doelling, P. Minnis, J.K. Ayers, 2004, Rapid Technique to cross calibrate satellite imager with visible channels, Proc. of 49th SPIE Meeting, Denver, CO, Aug. 2-6, 2004. http://www-pm.larc.nasa.gov/arm_refs.html" ; :IR_calibration = "The GOES-13 IR calibration was based on the nominal equations used in Mcidas and found at http://www.oso.noaa.gov/goes/goes-calibration/gvar-conversion.htm" ; :VISST = "NASA-Langley cloud and radiation products are produced using a suite of algorithms including VISST (Visible Infrared Solar-infrared Split-Window Technique), SIST (Solar-infrared Infrared Split-Window Technique) and SINT (Solar-infrared Infrared Near-Infrared Technique), collectively referred to as SatCORPS (Satellite Cloud Observations and Radiative Property retrieval System). The techniques use GOES-13 channels to detect clouds and retrieve cloud microphysics. Atmospheric profiles are obtained from GFS. REFERENCES: Minnis, P., S. Sun-Mack, D. F. Young, P. W. Heck, D. P. Garber, Y. Chen, D. A. Spangenberg, R. F. Arduini, Q. Z. Trepte, W. L. Smith, Jr., J. K. Ayers, S. C. Gibson, W. F. Miller, V. Chakrapani, Y. Takano, K.-N. Liou, Y. Xie, and P. Yang, 2011: CERES Edition-2 cloud property retrievals using TRMM VIRS and Terra and Aqua MODIS data, Part I: Algorithms. IEEE Trans. Geosci. Remote Sens., 49, 11, 4374-4400.; Minnis, P., L. Nguyen, R. Palikonda, P. W. Heck, D. A. Spangenberg, D. R. Doelling, J. K. Ayers, W. L. Smith, Jr., M. M. Khaiyer, Q. Z. Trepte, L. A. Avey, F.-L. Chang, C. R. Yost, T. L. Chee, and S. Sun-Mack, 2008: Near-real time cloud retrievals from operational and research meteorological satellites. Proc. SPIE Europe Remote Sens. 2008, Cardiff, Wales, UK, 15-18 September, 7107-2, 8 pp. http://www-pm.larc.nasa.gov (Publications link)" ; :DATA_VERSION_NOTE = "This version was processed in near-realtime and is a preliminary version. As updates are made, the data will be reprocessed in the future and replaced." ; :General_comment = "This dataset is part of ongoing research projects. Users of the data for research leading to conference-level or peer-reviewed publications should contact Dr. Patrick Minnis (p.minnis@nasa.gov) before publishing any papers that include this data. The source of the data should be properly acknowledged and/or co-authorship should be offered depending on the level of documentation and contribution of the particular dataset. For any derived cloud, icing, and radiation products, it is in the best interest of individual researchers who use these datasets to ensure that they are using the latest and highest quality products available. Either Dr. Minnis or other group members can provide the proper references, caveats, or level of participation needed for any given request." ; }