Precipitation comparison for the CFSR, MERRA, TRMM3B42 and Combined Scheme datasets in Bolivia
Luis A. Blacutt,Dirceu Luis Herdies,Luis Gustavo Gonçalves de Gonçalves,Daniel Vila,Marcos Andrade +4 more
TLDR
In this paper, two reanalysis datasets, a satellite algorithm and a scheme that combines surface observations with satellite estimations were selected for studying rainfall in the following areas of Bolivia: the central Andes, Altiplano, southwestern Amazonia, and Chaco.About:
This article is published in Atmospheric Research.The article was published on 2015-09-15 and is currently open access. It has received 115 citations till now. The article focuses on the topics: Precipitation.read more
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Temporal and spatial evaluation of satellite-based rainfall estimates across the complex topographical and climatic gradients of Chile
Mauricio Zambrano-Bigiarini,Mauricio Zambrano-Bigiarini,Alexandra Nauditt,Christian Birkel,Christian Birkel,Koen Verbist,Lars Ribbe +6 more
TL;DR: In this paper, the suitability of seven state-of-the-art SRE products (TMPA 3B42v7, CHIRPSv2, CMORPH, PERSIAN-CCS-Adj, MSWEPv1.1, and PGFv3) over the complex topography and diverse climatic gradients of Chile was exhaustively evaluated.
Journal ArticleDOI
Evaluation of reanalysis, spatially interpolated and satellite remotely sensed precipitation data sets in central Asia
TL;DR: In this article, the accuracy of estimated precipitation in central Asia from three recently developed reanalysis data sets, Modern-Era Retrospective Analysis for Research and Applications (MERRA), ECMWF Interim Re-Analysis (ERA-Interim), and Climate Forecast System Reanalysis (CFSR), is evaluated through comparisons with observations from 399 stations during 1979-2010.
Journal ArticleDOI
Does ERA‐5 Outperform Other Reanalysis Products for Hydrologic Applications in India?
Journal ArticleDOI
Evaluation of three global gridded precipitation data sets in central Asia based on rain gauge observations
Zengyun Hu,Zengyun Hu,Qiming Zhou,Xi Chen,Jianfeng Li,Qingxiang Li,Deliang Chen,Wenbin Liu,Gang Yin +8 more
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Evaluation of TRMM 3B42 V7 Rainfall Product over the Oum Er Rbia Watershed in Morocco
Hamza Ouatiki,Abdelghani Boudhar,Yves Tramblay,Lionel Jarlan,Tarik Benabdelouhab,Lahoucine Hanich,M. Rachid El Meslouhi,Abdelghani Chehbouni +7 more
TL;DR: In this article, the TRMM 3B42 Version 7 product was evaluated using rain gauges measurements from 19 stations in the Oum-Er-Bia (OER) basin located in the center of Morocco.
References
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Journal ArticleDOI
Statistical Methods in the Atmospheric Sciences
TL;DR: In this article, statistical methods in the Atmospheric Sciences are used to estimate the probability of a given event to be a hurricane or tropical cyclone, and the probability is determined by statistical methods.
Book
Statistical Methods in the Atmospheric Sciences
TL;DR: The second edition of "Statistical Methods in the Atmospheric Sciences, Second Edition" as mentioned in this paper presents and explains techniques used in atmospheric data summarization, analysis, testing, and forecasting.
Journal ArticleDOI
The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales
George J. Huffman,Robert F. Adler,David T. Bolvin,Guojun Gu,Guojun Gu,Eric Nelkin,Kenneth P. Bowman,Yang Hong,Yang Hong,Erich Franz Stocker,David B. Wolff +10 more
TL;DR: The TRMM Multi-Satellite Precipitation Analysis (TMPA) as discussed by the authors provides a calibration-based sequential scheme for combining precipitation estimates from multiple satellites, as well as gauge analyses where feasible, at fine scales.
Journal ArticleDOI
Summarizing multiple aspects of model performance in a single diagram
TL;DR: In this article, a diagram has been devised that can provide a concise statistical summary of how well patterns match each other in terms of their correlation, their root-mean-square difference, and the ratio of their variances.
Journal ArticleDOI
MERRA: NASA’s Modern-Era Retrospective Analysis for Research and Applications
Michele M. Rienecker,Max J. Suarez,Ronald Gelaro,Ricardo Todling,Julio T. Bacmeister,Julio T. Bacmeister,Emily Liu,Emily Liu,Michael G. Bosilovich,Siegfried D. Schubert,Lawrence L. Takacs,Lawrence L. Takacs,Gi-Kong Kim,S. C. Bloom,S. C. Bloom,Junye Chen,Junye Chen,Douglas Collins,Douglas Collins,Austin Conaty,Austin Conaty,Arlindo da Silva,Wei Gu,Wei Gu,Joanna Joiner,Randal D. Koster,Robert A. Lucchesi,Robert A. Lucchesi,Andrea Molod,Andrea Molod,Tommy Owens,Tommy Owens,Steven Pawson,Philip Pegion,Philip Pegion,Christopher R. Redder,Christopher R. Redder,Rolf H. Reichle,Franklin R. Robertson,Albert G. Ruddick,Albert G. Ruddick,Meta Sienkiewicz,Meta Sienkiewicz,John S. Woollen +43 more
TL;DR: The Modern-Era Retrospective Analysis for Research and Applications (MERRA) was undertaken by NASA's Global Modeling and Assimilation Office with two primary objectives: to place observations from NASA's Earth Observing System satellites into a climate context and to improve upon the hydrologic cycle represented in earlier generations of reanalyses as mentioned in this paper.
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