Assessment of the Performance of Satellite-Based Precipitation Products for Flood Events across Diverse Spatial Scales Using GSSHA Modeling System by Chad Furl, Dawit Ghebreyesus, Hatim O. Sharif

“…Surprisingly, Tropical Rainfall Measuring Mission (TRMM) also showed a very high variance in all the performance statics. …”
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Correction of real-time satellite precipitation with satellite soil moisture observations by W. Zhan, M. Pan, N. Wanders, E. F. Wood

“…In this study, we assimilate satellite soil moisture retrievals using the Variable Infiltration Capacity (VIC) land surface model, and a dynamic assimilation technique, a particle filter, to adjust the Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis (TMPA) real-time precipitation estimates. …”
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Accuracy of CHIRPS Satellite-Rainfall Products over Mainland China by Lei Bai, Chunxiang Shi, Lanhai Li, Yanfen Yang, Jing Wu

“…The limitations for CHIRPS result from the Tropical Rainfall Measuring Mission (TRMM) 3B42 estimates’ accuracy and valid spatial coverage.…”
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Characteristics of Meiyu Seen From Multiple Observational Analyses and Reanalyses by Mingjun Tong, Zhihai Zheng, Qiang Fu

“…Abstract This study examines characteristics of Meiyu during the Meiyu season from June 1 to July 31 for 1998–2017 using two observational analyses (i.e., Tropical Rainfall Measuring Mission [TRMM] and Global Precipitation Climatology Project [GPCP]) and four reanalysis data sets (i.e., Modern‐Era Retrospective Analysis for Research and Applications, Version 2 [MERRA2], ERA5, JRA55, and NCEP/DOE). …”
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Preliminary Evaluation of GPM‐IMERG Rainfall Estimates Over Three Distinct Climate Zones With APHRODITE by K. Sunilkumar, Akiyo Yatagai, Minami Masuda

“…Percentile‐based statistics is implemented for evaluating the advantages of GPM‐IMERG over Tropical Rainfall Measuring Mission‐3B42 while detecting the light and heavy rainfall events during wet/dry seasons. …”
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O Tradicional ou o Moderno? Uma Visão da Informação da Rede de Estações Meteorológicas Brasileiras by Paolo Ramoni Perazzi, Marcelo Passamani, Dirk Thielen, Carlos Padovani

“…Foi avaliada a exatidão da localização das estações (coordenadas geográficas) fornecida pelo Instituto Nacional de Meteorologia (INMET), foi comparada gráfica e estatisticamente a informação fornecida por estações homônimas, foi correlacionada esta informação com variáveis independentes (elevação e latitude no caso das temperaturas e informação de satélite da Tropical Rainfall Measuring Mission -TRMM 3B43- no caso da precipitação), e foi avaliada a consistência da informação fornecida pelas estações comparada com os dados das cinco estações geograficamente mais próximas, através de interpolações espaciais baseadas em distancias inversas ponderadas sob um esquema de Jaccknife. …”
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Improved understanding of an extreme rainfall event at the Himalayan foothills – a case study using COSMO by Prabhakar Shrestha, Ashok Priyadarshan Dimri, Annika Schomburg, Clemens Simmer

“…An analysis of Tropical Rainfall Measuring Mission (TRMM)-gridded rainfall data shows that events with an exceedance probability of 1.6% for 200 mm/d rainfall are common over this region during the monsoon season. …”
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Differentiated Effects of Urbanization on Precipitation in South China by Lingli Fan, Guangya Zhang, Jianjun Xu

“…In this paper, precipitation data from the Tropical Rainfall Measuring Mission (TRMM), together with atmospheric reanalysis data, are employed to identify warm-season precipitation (1998–2014) changes and their association with rapid urbanization in south China. …”
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The surface thermal signature and air–sea coupling over the Agulhas rings propagating in the South Atlantic Ocean interior by J. M. A. C. Souza, B. Chapron, E. Autret

“…The surface signature of Agulhas rings propagating across the South Atlantic Ocean is observed based on three independent data sets: Advanced Microwave Scanning Radiometer for the Earth Observing System/Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) (TMI/AMSR-E) satellite sea surface temperature, Argo profiling floats and a merged winds product derived from scatterometer observations and reanalysis results. …”
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Spatiotemporal monitoring of rainfall erosivity in Morocco using free satellite data by Adama LO, H. GUEJJOUD, Mohamed CHIKHAOUI, H. EZZINE, Mustapha NAIMI, Yannick PEPIN

“…For this purpose, a short time series of two satellite products, namely CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data) and TRMM (Tropical Rainfall Measuring Mission). were used and correlated to in-situ measurements of a period of 17 years (2000- 2016). …”
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Evaluation of performance of drought prediction in Indonesia based on TRMM and MERRA-2 using machine learning methods by Heri Kuswanto, Achmad Naufal

“…This research investigates the performance of a 3-month Standardized Precipitation Index (SPI) derived from the Tropical Rainfall Measuring Mission (TRMM) and Modern-Era Retrospective analysis for Research and Applications (MERRA-2) to predict drought. …”
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Active and break spells of summer monsoon over Bangladesh by Zannatul Ferdoushi, D.A. Quadir, S.M. Quamrul Hassan

“…The model-simulated daily rainfall, Sea Level Pressure (SLP), wind pattern at 850 hPa, 200 hPa, and Outgoing Longwave Radiation (OLR) are compared with the observations from Tropical Rainfall Measuring Mission (TRMM), ERA5 (ERA5 is the European Centre for Medium-Range Weather Forecasts fifth-gen global atmospheric reanalysis data), and Kalpana-1. …”
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Evaluation of satellite rainfall estimates over Ethiopian river basins by T. G. Romilly, M. Gebremichael

“…The SREs considered are: the Climate Prediction Center morphing method (CMORPH), Precipitation Estimation from Remotely Sensed Information Using Neural Networks (PERSIANN) and the real-time version of the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) 3B42RT. …”
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From TRMM to GPM: How Reliable Are Satellite-Based Precipitation Data across Nigeria? by Pius Nnamdi Nwachukwu, Frederic Satge, Samira El Yacoubi, Sebastien Pinel, Marie-Paule Bonnet

“…The assessment also showed that the reliability of integrated multi-satellite retrievals for Global Precipitation Mission (IMERG) products was consistent with that of their predecessor Tropical Rainfall Measuring Mission (TRMM) multi-satellite precipitation analysis (TMPA). …”
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Hydrologic Evaluation of TRMM Multisatellite Precipitation Analysis for Nanliu River Basin in Humid Southwestern China by Yinjun Zhao, Qiongying Xie, Yuan Lu, Baoqing Hu

“…Abstract The accuracy of Tropical Rainfall Measuring Mission (TRMM) multi-satellite precipitation analysis (TMPA) daily accumulated precipitation products (3B42RTV7 and 3B42V7) was evaluated for a small basin (the Nanliu river basin). …”
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Local difference measures between complex networks for dynamical system model evaluation. by Stefan Lange, Jonathan F Donges, Jan Volkholz, Jürgen Kurths

“…An evaluation against respective networks built from daily satellite data provided by the Tropical Rainfall Measuring Mission 3B42 V7 reveals far greater differences in model performance between network types for a fixed but arbitrary climate model than between climate models for a fixed but arbitrary network type. …”
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Flood Hazard Analysis Based on Rainfall Fusion: A Case Study in Dazhou City, China by Lingxue Liu, Li Zhou, Tianqi Ao, Xing Liu, Xiaolong Shu

“…This study conducts four rainfall fusion methods, to fuse the Tropical Rainfall Measuring Mission (TRMM) 3B42 and the observations in Dazhou City, China. …”
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Evaluation of the Performance of Three Satellite Precipitation Products over Africa by Aleix Serrat-Capdevila, Manuel Merino, Juan B Valdes, Matej Durcik

“…We present an evaluation of daily estimates from three near real-time quasi-global Satellite Precipitation Products—Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), and Climate Prediction Center (CPC) Morphing Technique (CMORPH)—over the African continent, using the Global Precipitation Climatology Project one Degree Day (GPCP-1dd) as a reference dataset for years 2001 to 2013. …”
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Hydrologic Simulations Driven by Satellite Rainfall to Study the Hydroelectric Development Impacts on River Flow by Tuan B. Le, Farhan H. Al-Juaidi, Hatim Sharif

“…The analysis is based on hydrologic and sediment transport simulations by the Soil and Water Assessment Tool (SWAT) model driven by the Tropical Rainfall Measuring Mission (TRMM) 3B42V6 rainfall data, from January 2003 through December 2010. …”
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The Use of TRMM 3B42 Product for Drought Monitoring in Mexico by Aurea De Jesús, Jose Agustín Breña-Naranjo, Adrián Pedrozo-Acuña, Victor Hugo Alcocer Yamanaka

“…The main objective of this study is to evaluate the standardized precipitation index (SPI) in Mexico during the period 1998 to 2013, using the Tropical Rainfall Measuring Mission (TRMM) satellite product 3B42. …”
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