2C-PRECIP-COLUMN

CloudSat Product Stats - Algorithm Developer Edition
Product Availability: Full mission availability except for anomalies and maneuver data gaps.
The objective of the algorithm is to determine the presence of surface precipitation, and quantify the intensity, based on CloudSat Profiling Radar (CPR) observations.  The algorithm makes use of the radar reflectivity near the surface of the earth and an estimate of path integrated attenuation (PIA) determined from the surface reflection characteristics to determine precipitation occurrence (over all surface types) and intensity (over water surfaces).
 

Changes/Updates in Algorithm Version P_R05 *

  • This product now primarily focuses on precipitation incidence. A side effect is that some variables have been renamed; Precip_rate becomes Diagnostic_precip_rate, and so on.
  • The convective and stratiform retrievals have been rebuilt from the ground-up, and now share a largely unified code base. New lookup tables of precipitation rate and path integrated attenuation have been built using Robin Hogan’s Time-Dependent Two-Stream model of multiple scattering (Hogan and Battaglia 2008). Improvements have also been made that should result in better simulation of the CloudSat radar’s antenna beam pattern.
  • A new method of determining PIA, using local observations of the clear sky surface, is used when available. This significantly reduces uncertainty in PIA, especially over the ocean surface (see Section 2.1.1).
  • PIA is now reported everywhere it can be calculated, including for non-raining profiles. It is reported (experimentally) over non-water surfaces.
  • Various bug fixes.
 
* See the 2C-PRECIP-COLUMN P_R05 Process Description and Interface Control Document (PDICD) for more details.
 
 

Primary Publication

Process Description and Interface Control Document (PDICD)

File Name Last Modified
2C-PRECIP-COLUMN P2_R04 PDICD (306.22 KB) January 24, 2013

Algorithm Specifications

Data
Popup Type Dimensions Units Range Missing Miss Op Factor Offset
INT(1) nray 1 0
INT(2) nray -1000 == 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(1) nray 1 0
INT(1) nray 1 0
INT(1) nray 1 0
REAL(4) nray km -1000 == 1 0
REAL(4) nray km -1000 == 1 0
REAL(4) nray km -1000 == 1 0
REAL(4) nray km -1000 == 1 0
REAL(4) nray -1000 == 1 0
REAL(4) nray dBZe -100 to 100 -1000 1 0
REAL(4) nray dB -100 to 100 -1000 == 1 0
REAL(4) nray dB -100 to 100 -1000 == 1 0
REAL(4) nray dB -1000 == 1 0
INT(1) nray 1 0
REAL(4) nray mm/h -40 to 40 -1000 == 1 0
REAL(4) nray mm/h -40 to 40 -1000 == 1 0
REAL(4) nray mm/h -40 to 40 -1000 == 1 0
REAL(4) nray mm/h -40 to 40 -1000 == 1 0
REAL(4) nray km -1000 == 1 0
REAL(4) nray g m^{-2} -1000 == 1 0
REAL(4) nray dB -100 to 100 -1000 == 1 0
REAL(4) nray deg C -100 to 100 -1000 == 1 0
INT(1) nray 1 0
INT(1) nray 1 0
REAL(4) nray m/s -1000 == 1 0
Geolocation
Popup Type Dimensions Units Range Missing Miss Op Factor Offset
INT(2) nray meters -9999 to 8850 9999 == 1 0
REAL(4) nray degrees -90 to 90 1 0
REAL(4) nray degrees -180 to 180 1 0
REAL(4) nray seconds 0 to 6000 1 0
REAL(8) <scalar> seconds 0 to 6e+008 1 0
REAL(4) <scalar> seconds 0 to 86400 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.