Global precipitation measurement: Methods, datasets and applications

This paper explores 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...

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Autores principales: Tapiador, F.J., Turk, F.J., Petersen, W., Hou, A.Y., García-Ortega, E., Machado, L.A.T., Angelis, C.F., Salio, P., Kidd, C., Huffman, G.J., de Castro, M.
Formato: JOUR
Materias:
Global Climate Models (GCM)
Global Precipitation Measurement (GPM) mission
Precipitation Regional Climate Models (RCM)
Quantitative Precipitation Estimation (QPE)
Data assimilation
Data sets
Environmental parameter
Global climate model
Global precipitation measurement missions
Global precipitation measurements
Ground data
Numerical models
Precipitation measurement
Quantitative precipitation estimation
Regional climate models
Data processing
Estimation
Numerical methods
Precipitation (meteorology)
Uncertainty analysis
Climate models
climate modeling
data set
global climate
numerical model
precipitation assessment
regional climate
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_01698095_v104-105_n_p70_Tapiador
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_01698095_v104-105_n_p70_Tapiador
record_format dspace
spelling todo:paper_01698095_v104-105_n_p70_Tapiador2023-10-03T15:07:17Z Global precipitation measurement: Methods, datasets and applications Tapiador, F.J. Turk, F.J. Petersen, W. Hou, A.Y. García-Ortega, E. Machado, L.A.T. Angelis, C.F. Salio, P. Kidd, C. Huffman, G.J. de Castro, M. Global Climate Models (GCM) Global Precipitation Measurement (GPM) mission Precipitation Regional Climate Models (RCM) Quantitative Precipitation Estimation (QPE) Data assimilation Data sets Environmental parameter Global climate model Global precipitation measurement missions Global precipitation measurements Ground data Numerical models Precipitation measurement Quantitative precipitation estimation Regional climate models Data processing Estimation Numerical methods Precipitation (meteorology) Uncertainty analysis Climate models climate modeling data set global climate numerical model precipitation assessment regional climate This paper explores 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, namely hydropower, data assimilation and validation of Regional Climate Models (RCM). 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. Special emphasis is put on the central role of the upcoming Global Precipitation Measurement (GPM) mission in precipitation science. © 2011. Fil:Salio, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_01698095_v104-105_n_p70_Tapiador
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Global Climate Models (GCM)
Global Precipitation Measurement (GPM) mission
Precipitation Regional Climate Models (RCM)
Quantitative Precipitation Estimation (QPE)
Data assimilation
Data sets
Environmental parameter
Global climate model
Global precipitation measurement missions
Global precipitation measurements
Ground data
Numerical models
Precipitation measurement
Quantitative precipitation estimation
Regional climate models
Data processing
Estimation
Numerical methods
Precipitation (meteorology)
Uncertainty analysis
Climate models
climate modeling
data set
global climate
numerical model
precipitation assessment
regional climate
spellingShingle Global Climate Models (GCM)
Global Precipitation Measurement (GPM) mission
Precipitation Regional Climate Models (RCM)
Quantitative Precipitation Estimation (QPE)
Data assimilation
Data sets
Environmental parameter
Global climate model
Global precipitation measurement missions
Global precipitation measurements
Ground data
Numerical models
Precipitation measurement
Quantitative precipitation estimation
Regional climate models
Data processing
Estimation
Numerical methods
Precipitation (meteorology)
Uncertainty analysis
Climate models
climate modeling
data set
global climate
numerical model
precipitation assessment
regional climate
Tapiador, F.J.
Turk, F.J.
Petersen, W.
Hou, A.Y.
García-Ortega, E.
Machado, L.A.T.
Angelis, C.F.
Salio, P.
Kidd, C.
Huffman, G.J.
de Castro, M.
Global precipitation measurement: Methods, datasets and applications
topic_facet Global Climate Models (GCM)
Global Precipitation Measurement (GPM) mission
Precipitation Regional Climate Models (RCM)
Quantitative Precipitation Estimation (QPE)
Data assimilation
Data sets
Environmental parameter
Global climate model
Global precipitation measurement missions
Global precipitation measurements
Ground data
Numerical models
Precipitation measurement
Quantitative precipitation estimation
Regional climate models
Data processing
Estimation
Numerical methods
Precipitation (meteorology)
Uncertainty analysis
Climate models
climate modeling
data set
global climate
numerical model
precipitation assessment
regional climate
description This paper explores 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, namely hydropower, data assimilation and validation of Regional Climate Models (RCM). 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. Special emphasis is put on the central role of the upcoming Global Precipitation Measurement (GPM) mission in precipitation science. © 2011.
format JOUR
author Tapiador, F.J.
Turk, F.J.
Petersen, W.
Hou, A.Y.
García-Ortega, E.
Machado, L.A.T.
Angelis, C.F.
Salio, P.
Kidd, C.
Huffman, G.J.
de Castro, M.
author_facet Tapiador, F.J.
Turk, F.J.
Petersen, W.
Hou, A.Y.
García-Ortega, E.
Machado, L.A.T.
Angelis, C.F.
Salio, P.
Kidd, C.
Huffman, G.J.
de Castro, M.
author_sort Tapiador, F.J.
title Global precipitation measurement: Methods, datasets and applications
title_short Global precipitation measurement: Methods, datasets and applications
title_full Global precipitation measurement: Methods, datasets and applications
title_fullStr Global precipitation measurement: Methods, datasets and applications
title_full_unstemmed Global precipitation measurement: Methods, datasets and applications
title_sort global precipitation measurement: methods, datasets and applications
url http://hdl.handle.net/20.500.12110/paper_01698095_v104-105_n_p70_Tapiador
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