Informing a hydrological model of the Ogooué with multi-mission remote sensing data by C. M. M. Kittel, K. Nielsen, C. Tøttrup, P. Bauer-Gottwein

“…We parametrized the model using the Shuttle Radar Topography Mission digital elevation model (SRTM DEM) and forced it using precipitation from two satellite-based rainfall estimates, FEWS-RFE (Famine Early Warning System rainfall estimate) and the Tropical Rainfall Measuring Mission (TRMM) 3B42 v.7, and temperature from ECMWF ERA-Interim. …”
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Clouds’ Microphysical Properties and Their Relationship with Lightning Activity in Northeast Brazil by Lizandro Pereira de Abreu, Weber Andrade Gonçalves, Enrique Vieira Mattos, Pedro Rodrigues Mutti, Daniele Torres Rodrigues, Marcos Paulo Araújo da Silva

“…For this purpose, data from the Lightning Imaging Sensor (LIS), TRMM Microwave Imager (TMI) and Precipitation Radar (PR), aboard the Tropical Rainfall Measuring Mission (TRMM) satellite from 1998 to 2013 were used. …”
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Relationship between Lightning and Aerosol Optical Depth over the Uttarakhand Region in India: Thermodynamic Perspective by Alok Sagar Gautam, Abhishek Joshi, Sagarika Chandra, Umesh Chandra Dumka, Devendraa Siingh, Ram Pal Singh

“…Lightning data are used from a lightning imaging sensor (LIS) and an optical transient detector (OTP) boarded on the tropical rainfall measuring mission (TRMM). Additionally, aerosol optical depth (AOD) data at 550 nm for the same period were considered from a Moderate Resolution Imaging Spectroradiometer (MODIS). …”
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CDRD and PNPR satellite passive microwave precipitation retrieval algorithms: EuroTRMM/EURAINSAT origins and H-SAF operations by A. Mugnai, E. A. Smith, G. J. Tripoli, B. Bizzarri, D. Casella, S. Dietrich, F. Di Paola, G. Panegrossi, P. Sanò

“…This aspect of the development of the two algorithms is placed in the context of what we refer to as the TRMM era, which is the era denoting the active and ongoing period of the Tropical Rainfall Measuring Mission (TRMM) that helped inspire their original development. …”
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Patterns of shallow clouds and rainfall over the Amazon : climatic impacts of deforestation by Chagnon, Frédéric J. F. (Frédéric Jacques F.), 1975-

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Diurnal Variations of Global Thunderstorms and Electrified Shower Clouds and Their Contribution to the Global Electrical Circuit by Liu, Chuntao, Williams, Earle R., Zipser, Edward J., Burns, Gary

“…This study utilizes 10 years of Tropical Rainfall Measuring Mission (TRMM) observations to quantify the global occurrence of thunderstorms with much better accuracy and to validate the comparison by F. …”
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Lightning/percipitation relationships on a global basis by Labrada, Carlos Ramón, 1977-

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Satellite rainfall (TRMM 3B42-V7) performance assessment and adjustment over Pahang River Basin, Malaysia by Mohd Zad, Siti Najja, Zulkafli, Zed, Muharram, Farrah Melissa

“…The Tropical Rainfall Measuring Mission (TRMM) was the first Earth Science mission dedicated to studying tropical and subtropical rainfall. …”
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Assessment variability of annual daily maximum rainfall of Terengganu, Malaysia by Nur Azira Ayuni, Ab Aziz

“…The main objective of this study is to assess the variability of annual daily maximum rainfall. Tropical Rainfall Measuring Mission (TRMM) satellite-based rainfalls from public domain were used in this study. …”
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A biomass map of the Brazilian Amazon from multisource remote sensing by Jean Pierre Ometto, Eric Bastos Gorgens, Francisca Rocha de Souza Pereira, Luciane Sato, Mauro Lúcio Rodrigures de Assis, Roberta Cantinho, Marcos Longo, Aline Daniele Jacon, Michael Keller

“…The map uses airborne laser scanning (ALS) data calibrated by field forest inventories that are extrapolated to the region using a machine learning approach with inputs from Synthetic Aperture Radar (PALSAR), vegetation indices obtained from the Moderate-Resolution Imaging Spectroradiometer (MODIS) satellite, and precipitation information from the Tropical Rainfall Measuring Mission (TRMM). A total of 174 field inventories geolocated using a Differential Global Positioning System (DGPS) were used to validate the biomass estimations. …”
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Hydrologic Assessment of TRMM and GPM-Based Precipitation Products in Transboundary River Catchment (Chenab River, Pakistan) by Ehtesham Ahmed, Firas Al Janabi, Jin Zhang, Wenyu Yang, Naeem Saddique, Peter Krebs

“…A semidistributed hydrological model of The soil and water assessment tool (SWAT) was set up and two renowned satellite precipitation products, i.e., global precipitation mission (GPM) IMERG-F v6 and tropical rainfall measuring mission (TRMM) 3B42 v7, were selected to assess the runoff pattern in Chenab River. …”
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Evaluation of Eight Global Precipitation Datasets in Hydrological Modeling by Yiheng Xiang, Jie Chen, Lu Li, Tao Peng, Zhiyuan Yin

“…These PPs include the Global Precipitation Climatology Centre (GPCC), Climate Hazards Group Infrared Precipitation with Station dataset (CHIRPS) V2.0, Climate Prediction Center Morphing Gauge Blended dataset (CMORPH BLD), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Climate Data Record (PERSIANN CDR), Tropical Rainfall Measuring Mission multi-satellite Precipitation Analysis 3B42RT (TMPA 3B42RT), Multi-Source Weighted-Ensemble Precipitation (MSWEP V2.0), European Center for Medium-range Weather Forecast Reanalysis 5 (ERA5) and WATCH Forcing Data methodology applied to ERA-Interim Data (WFDEI). …”
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Latent heating profiles from GOES-16 and its impacts on precipitation forecasts by Y. Lee, C. D. Kummerow, C. D. Kummerow, M. Zupanski

“…For climate studies, LH has been retrieved from the precipitation radar on the Tropical Rainfall Measuring Mission (TRMM) using model simulations in a lookup table (LUT) that relates instantaneous radar data to corresponding heating profiles. …”
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Preliminary Utility of the Retrospective IMERG Precipitation Product for Large-Scale Drought Monitoring over Mainland China by Linyong Wei, Shanhu Jiang, Liliang Ren, Linqi Zhang, Menghao Wang, Zheng Duan

“…Furthermore, the IMERG has obvious drought monitoring abilities, which was also complemented when compared with the Precipitation Estimation from the Remotely Sensed Information using Artificial Neural Networks Climate Data Record (PERSIANN-CDR), Climate Hazards Group Infrared Precipitation with Stations (CHIRPS), and Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis (TMPA) 3B42V7. …”
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Downscaling TRMM Monthly Precipitation Using Google Earth Engine and Google Cloud Computing by Abdelrazek Elnashar, Hongwei Zeng, Bingfang Wu, Ning Zhang, Fuyou Tian, Miao Zhang, Weiwei Zhu, Nana Yan, Zeqiang Chen, Zhiyu Sun, Xinghua Wu, Yuan Li

“…We proposed a downscaling framework for Tropical Rainfall Measuring Mission (TRMM) precipitation products through integrating Google Earth Engine (GEE) and Google Colaboratory (Colab). …”
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Evaluation of Multi-Satellite Precipitation Datasets and Their Error Propagation in Hydrological Modeling in a Monsoon-Prone Region by Jie Chen, Ziyi Li, Lu Li, Jialing Wang, Wenyan Qi, Chong-Yu Xu, Jong-Suk Kim

“…Eight satellite-based precipitation datasets include two raw satellite datasets, Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) and Climate Prediction Center MORPHing raw satellite dataset (CMORPH RAW); four satellite-gauge datasets, Tropical Rainfall Measuring Mission 3B42 (TRMM), PERSIANN Climate Data Record (PERSIANN CDR), CMORPH bias-corrected (CMORPH CRT), and gauge blended datasets (CMORPH BLD); and two satellite-reanalysis-gauge datasets, Multi-Source Weighted-Ensemble Precipitation (MSWEP) and Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS). …”
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Impact of Microphysical Parameterizations on Simulated Hurricanes—Using Multi-Parameter Satellite Data to Determine the Particle Size Distributions that Produce Most Realistic Stor... by Svetla Hristova-Veleva, Ziad Haddad, Alexandra Chau, Bryan W. Stiles, F. Joseph Turk, P. Peggy Li, Brian Knosp, Quoc Vu, Tsae-Pyng Shen, Bjorn Lambrigtsen, Eun-Kyoung Seo, Hui Su

“…The study consisted in evaluating the structure of the different simulated storms by comparing, for each storm, the calculated microwave signatures with actual satellite observations made by (a) the passive microwave radiometer that was carried by the Tropical Rainfall Measuring Mission (TRMM) satellite—the TRMM microwave imager TMI, (b) TRMM’s precipitation radar (PR) and (c) the ocean-wind-vector scatterometer carried by the QuikSCAT satellite. …”
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Impacts of Drought on Vegetation Assessed by Vegetation Indices and Meteorological Factors in Afghanistan by Iman Rousta, Haraldur Olafsson, Md Moniruzzaman, Hao Zhang, Yuei-An Liou, Terence Darlington Mushore, Amitesh Gupta

“…In this study, we used data acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS) and Tropical Rainfall Measuring Mission (TRMM) sensors to examine the drought effects on vegetation in Afghanistan from 2001 to 2018. …”
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New Insight on Soil Loss Estimation in the Northwestern Region of the Zagros Fold and Thrust Belt by Arsalan Ahmed Othman, Ahmed K. Obaid, Diary Ali Mohammed Amin Al-Manmi, Ahmed F. Al-Maamar, Syed E. Hasan, Veraldo Liesenberg, Ahmed T. Shihab, Younus I. Al-Saady

“…We used the Digital Elevation Model (DEM) of the Shuttle Radar Topography Mission (SRTM), Tropical Rainfall Measuring Mission (TRMM), Harmonized World Soil Database (HWSD), and Landsat imagery to estimate annual soil loss using the RUSLE model. …”
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The Thar, Rajputana desert unprecedented rainfall in 2006 and 2010: effect of climate change? by Vadlamudi Brahmananda Rao, Egidio Arai, Sergio H. Franchito, Yosio E. Shimabukuro, S.S.V.S Ramakrishna, C.V. Naidu

“…Para ello fueron usados los índices de vegetación NDVI (Normalized Difference Vegetation Index) y EVI (Enhanced Vegetation Index), derivados del MODIS (Moderate Resolution Imaging Spectroradiometer) y los datos de precipitación del satélite TRMM (Tropical Rainfall Measuring Mission) para 11 años (2000-2010). Ambos productos NDVI y EVI revelaron un crecimiento exuberante de la vegetación sobre el desierto de Rajputana en setiembre de 2006 y en agosto y setiembre de 2010. …”
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