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Global Precipitation Measurement: Methods, Datasets and ApplicationsThis paper reviews the many aspects of precipitation measurement that are relevant to providing an accurate global assessment of this important environmental parameter. Methods discussed include ground data, satellite estimates and numerical models. First, the methods for measuring, estimating, and modeling precipitation are discussed. Then, the most relevant datasets gathering precipitation information from those three sources are presented. The third part of the paper illustrates a number of the many applications of those measurements and databases. The aim of the paper is to organize the many links and feedbacks between precipitation measurement, estimation and modeling, indicating the uncertainties and limitations of each technique in order to identify areas requiring further attention, and to show the limits within which datasets can be used.
Document ID
20140010540
Acquisition Source
Goddard Space Flight Center
Document Type
Preprint (Draft being sent to journal)
Authors
Tapiador, Francisco
(Castilla-La Mancha Univ. Toledo, Spain)
Turk, Francis J.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Petersen, Walt
(NASA Wallops Flight Facility Wallops Island, VA, United States)
Hou, Arthur Y.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Garcia-Ortega, Eduardo
(Leon Univ. Leon, Spain)
Machado, Luiz, A. T.
(Instituto de Pesquisas Espaciais Cachoeira Paulista, Brazil)
Angelis, Carlos F.
(Centro de Monitoramento e Alertas de Desastres Naturais Brazil)
Salio, Paola
(Buenos Aires Univ. Argentina)
Kidd, Chris
(Maryland Univ. College Park, MD, United States)
Huffman, George J.
(Science Systems and Applications, Inc. Lanham, MD, United States)
De Castro, Manuel
(Castilla-La Mancha Univ. Toledo, Spain)
Date Acquired
August 8, 2014
Publication Date
October 16, 2011
Publication Information
Publisher: Elsevier
Subject Category
Meteorology And Climatology
Report/Patent Number
GSFC-E-DAA-TN9404
Funding Number(s)
CONTRACT_GRANT: 505539
CONTRACT_GRANT: NNX12AD03A
CONTRACT_GRANT: EVK2-CT-2001-00132
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Global Climate Models (GCM)
Regional Climate Models (RCM)
Precipitation
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