2B-FLXHR-LIDAR

CloudSat Product Stats - Algorithm Developer Edition
Product Availability: Available through Epoch 04 (E04).
This algorithm derives estimates of broadband fluxes and heating rates consistent with liquid and ice water content estimates from the CloudSat Profiling Radar (CPR), CALIPSO, and MODIS. For each radar profile, a broadband radiative transfer model is used to calculate upwelling and downwelling longwave and shortwave fluxes at each CPR range gate from the surface to the lower stratosphere. Profiles of cloud ice and liquid water content and cloud particle effective radii are defined based on the CloudSat 2B-LWC and 2B-IWC products while precipitation properties are defined using the CloudSat 2C-PRECIP-COLUMN dataset. The properties of thin or low clouds that are not detected by CloudSat are assigned based on CALIOP backscatter, CALIPSO’s CAL_LID_L2_05kmCLay, and the CloudSat 2B-TAU product while aerosol location and optical properties are specified using CALIPSO’s CAL_LID_L2_05kmALay product. Ancillary atmospheric state variables are interpolated from ECMWF analyses and surface albedos are assigned based on seasonally-varying maps of surface reflectance properties in combination with daily snow and sea ice cover maps from passive microwave instruments. Two additional sets of flux calculations are performed with all clouds and all aerosols removed, respectively. Corresponding profiles of atmospheric heating are inferred from the vertical derivative of these fluxes.
 

Primary Publications

Process Description and Interface Control Document (PDICD)

File Name Last Modified
2B-FLXHR-LIDAR P2_R04 PDICD (888.49 KB) December 20, 2011

Algorithm Specifications

Data
Popup Type Dimensions Units Range Missing Miss Op Factor Offset
REAL(4) nray -999 == 1 0
INT(2) nlatbins,nflags 1 0
INT(2) nray,nbands_flxhr2b W/m2 -999 == 1 0
UINT(1) nray -- 0 to 127 1 0
UINT(1) nray -- 0 to 127 1 0
UINT(1) nray -- 0 to 81 1 0
INT(2) nz_flux_flxhr2b,nray,nbands_flxhr2b W/m^2 -999 == 10 0
INT(2) nz_flux_flxhr2b,nray,nbands_flxhr2b W/m^2 -999 == 10 0
INT(2) nz_flux_flxhr2b,nray,nbands_flxhr2b W/m2 -999 == 10 0
INT(2) nz_flux_flxhr2b,nray,nbands_flxhr2b W/m^2 -999 == 10 0
INT(2) nz_flux_flxhr2b,nray,nbands_flxhr2b W/m^2 -999 == 10 0
INT(2) nz_flux_flxhr2b,nray,nbands_flxhr2b W/m2 -999 == 10 0
INT(1) nray 1 to 18 -999 == 1 0
INT(2) nray 1 to 4 1 0
INT(2) nlatbins,nflags W/m^2 1 0
INT(2) nlatbins,nflags W/m^2 1 0
INT(2) nlatbins,nflags K/day -10 to 10 -999 == 100 0
INT(2) nlatbins,nflags K/day -10 to 10 -999 == 100 0
INT(2) nlatbins,nflags W/m^2 1 0
INT(2) nlatbins,nflags W/m^2 1 0
INT(2) nlatbins,nflags W/m^2 1 0
INT(2) nlatbins,nflags W/m^2 1 0
INT(2) nlatbins,nflags W/m^2 1 0
INT(2) nz_hr_flxhr2b,nray,nbands_flxhr2b K/day -200 to 200 -999 == 100 0
INT(2) nray,nbands_flxhr2b K/day -10 to 10 -999 == 100 0
INT(2) nray 1 to 6 1 0
INT(2) nlatbins,nflags W/m^2 1 0
INT(2) nlatbins,nflags W/m^2 1 0
INT(2) nlatbins,nflags K/day -10 to 10 -999 == 100 0
INT(2) nlatbins,nflags K/day -10 to 10 -999 == 100 0
INT(2) nlatbins,nflags W/m^2 1 0
INT(2) nlatbins,nflags W/m^2 1 0
INT(2) nlatbins,nflags W/m^2 1 0
INT(2) nlatbins,nflags W/m^2 1 0
INT(2) nlatbins,nflags W/m^2 1 0
INT(2) nray -999 == 10 0
INT(2) nray -- 1 to 20 1 0
INT(2) nray,nbands_flxhr2b W/m2 -999 == 1 0
Geolocation
Popup Type Dimensions Units Range Missing Miss Op Factor Offset
INT(2) nray meters -9999 to 8850 9999 == 1 0
INT(2) nbin,nray m -5000 to 30000 -9999 == 1 0
REAL(4) nray degrees -90 to 90 1 0
REAL(4) nray degrees -180 to 180 1 0
REAL(4) <scalar> degrees -90 to 90 1 0
REAL(4) nray seconds 0 to 6000 1 0
REAL(4) nray km 600 to 800 1 0
REAL(4) <scalar> degrees -90 to 90 1 0
REAL(8) <scalar> seconds 0 to 6e+008 1 0
REAL(4) <scalar> seconds 0 to 86400 1 0
REAL(4) <scalar> m to -9999 == 1 0
Metadata
Popup Type Dimensions Units Range Missing Miss Op Factor Offset
INT(4) 20 1 0

Related News Articles

2016

CloudSat releases algorithm uncertainty study

September 1, 2016
The CloudSat algorithm development leads have completed a synthesis of algorithm uncertainties. The synopsis describes the known uncertainties in the Cloudsat algorithms and provides the relevant technical and peer reviewed references for data end-users. The algorithm development team plans to update the document periodically as new data releases become available.

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