Algorithm Descriptions (ATBD's)

GPM GPROF (Level 2) Algorithm Theoretical Basis Document (ATBD) (Version 4)

Published Date: 
08/01/2014

This ATBD describes the Global Precipitation Measurement (GPM) passive microwave rainfall algorithm, which is a parametric algorithm used to serve all GPM constellation radiometers. The output parameters of the algorithm are enumerated in Table 1. It is based upon the concept that the GPM core satellite, with its Dual Frequency Radar (DPR) and GPM Microwave Imager (GMI), will be used to build a consistent a-priori database of cloud and precipitation profiles to help constrain possible solutions from the constellation radiometers.

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GPM Level 1C Algorithm Theoretical Basis Document (ATBD) (Version 4)

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Published Date: 
04/01/2016

Level 1C (L1C) algorithms are a collection of algorithms that produce common calibrated brightness temperature products for the Global Precipitation Measurement (GPM) Core and Constellation satellites.

This document describes the GPM Level 1C algorithms. It consists of physical and mathematical bases for orbitization, satellite intercalibration, and quality control, as well as the software architecture and implementation for the Level 1C algorithms.

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GPM Microwave Imager (GMI) Level 1B Algorithm Theoretical Basis Document (ATBD) (Version 3)

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Published Date: 
11/01/2010

This document describes the GMI Level 1B algorithm. It consists of physical bases and mathematical equations for GMI calibration, as well as pre-launch and post-launch activities. The document also presents high-level software design. However, detailed software descriptions will be presented separately in the Level 1B Software Design Document. Parts of this document are from the RSS GMI Calibration ATBD as contributed by the Ball Aerospace GMI manufactory contract. The GMI L1B geolocation algorithm is described in a separate Geolocation Toolkit (GeoTK) ATBD.

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GPM Combined Radar-Radiometer Precipitation Algorithm Theoretical Basis Document (ATBD) (Version 03)

Published Date: 
11/30/2011

The GPM Combined Radar-Radiometer Algorithm performs two basic functions: first, it provides, in principle, the most accurate, high resolution estimates of surface rainfall rate and precipitation vertical precipitation distributions that can be achieved from a spaceborne platform, and it is therefore valuable for applications where information regarding instantaneous storm structure are vital.

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GPM/DPR Level 2 Algorithm Theoretical Basis Document (ATBD)

Published Date: 
08/01/2017

The objective of the level 2 DPR algorithms is to generate from the level 1 DPR products radar-only derived meteorological quantities on an instantaneous FOV (field of view) basis. A subset of the results will be used by the level 2 combined radar-radiometer algorithm and the level 3 combined and radar-only products.

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A First Approach to Global Runoff Simulation using Satellite Rainfall Estimation

Published Date: 
08/11/2007
Motivated by the recent increasing availability of global remote sensing data for estimating precipitation and describing land surface characteristics, this note reports an approximate assessment of quasi-global runoff computed by incorporating satellite rainfall data and other remote sensing products in a relatively simple rainfall-runoff simulation approach: the Natural Resources Conservation Service (NRCS) runoff curve number (CN) method.
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