Climatological Features of Squall Line at the Borneo Coastline during Southwest Monsoon by Fadila Jasmin Fakaruddin, Najhan Azima Nawai, Mahani Abllah, Fredolin Tangang, Liew Juneng

“…Using 3-hourly rainfall from Tropical Rainfall Measuring Mission (TRMM) 3B42V7 during southwest monsoon season (May–September) from 1998–2018, a total of 629 squall days were identified. …”
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Global meteorological drought – Part 1: Probabilistic monitoring by E. Dutra, F. Wetterhall, F. Di Giuseppe, G. Naumann, P. Barbosa, J. Vogt, W. Pozzi, F. Pappenberger

“…This methodology was compared with the GPCC first guess precipitation product as well as SPI calculations using the ECMWF ERA-Interim reanalysis and Tropical Rainfall Measuring Mission (TRMM) precipitation data sets. …”
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Overview of Lightning Trend and Recent Lightning Variability over Sri Lanka by Vindhya Kalapuge, Dilaj Maduranga, Niranga Alahacoon, Mahesh Edirisinghe, Rushan Abeygunawardana, Manjula Ranagalage

“…Flash data collected by the Lightning Imaging Sensor (LIS) on NASA’s Tropical Rainfall Measuring Mission (TRMM) satellite from 1998 to 2014 and the Lightning Imaging Sensor placed on the International Space Station (ISS) from 2018 to 2021 were used for the study. …”
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Moisture source assessment and the varying characteristics for the Tibetan Plateau precipitation using TRMM by Chi Zhang

“…By introducing precipitation from the Tropical Rainfall Measuring Mission (TRMM) and other observation-based data, moisture sources for the whole TP and their variations from 1998 to 2018 are explored using an Eulerian model. …”
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Probabilistic Precipitation Estimation with a Satellite Product by Nir Y. Krakauer, Soni M. Pradhanang, Jeeban Panthi, Tarendra Lakhankar, Ajay K. Jha

“…We compared the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) 3B42RT product with individual stations and with the gridded APHRODITE product to evaluate its ability to retrieve different precipitation intensities. …”
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Performance of Drought Indices in Assessing Rice Yield in North Korea and South Korea under the Different Agricultural Systems by Seonyoung Park, Jaese Lee, Jongmin Yeom, Eunkyo Seo, Jungho Im

“…Moderate resolution imaging spectroradiometer (MODIS), tropical rainfall measuring mission (TRMM), and global land data assimilation system (GLDAS) data from 2001 to 2018 were used to calculate drought indices. …”
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Evaluation of IMERG Level-3 Products in Depicting the July to October Rainfall over Taiwan: Typhoon Versus Non-Typhoon by Wan-Ru Huang, Pin-Yi Liu, Ya-Hui Chang, Cheng-An Lee

“…Despite these differences, all IMERG products outperform the frequently used Tropical Rainfall Measuring Mission 3B42 v7 (TRMM7) for the illustration of the spatio-temporal characteristics of TC rainfall in Taiwan. …”
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Multi-Sensor Remote Sensing Data and GIS Modeling for Mapping Groundwater Possibilities: A Case Study at the Western Side of Assiut Governorate, Egypt by Ezz El Deen Khattab, Hassan Sabet, Mostafa AbuBakr, Taher Hassan

“…Therefore, multi-sensors remote sensing data from ASTER, Landsat-8, MODIS, Shuttle Radar Topography Mission (SRTM), Tropical Rainfall Measuring Mission (TRMM), and Radarsat-1 were accustomed to extract several geospatial thematic layers (variables). …”
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Evaluation of the TRMM Product for Monitoring Drought over Paraíba State, Northeastern Brazil: A Statistical Analysis by Reginaldo Moura Brasil Neto, Celso Augusto Guimarães Santos, Thiago Victor Medeiros do Nascimento, Richarde Marques da Silva, Carlos Antonio Costa dos Santos

“…Thus, this work aims to evaluate the performance of Tropical Rainfall Measuring Mission (TRMM) satellite rainfall estimates in monitoring the spatiotemporal behavior of droughts at multiple temporal scales over Paraíba State based on the standardized precipitation index (SPI) over 20 years (1998–2017). …”
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A Remote Sensing-Based Assessment of Water Resources in the Arabian Peninsula by Youssef Wehbe, Marouane Temimi

“…Remote sensing data for TWS, precipitation, and soil moisture are obtained from the Gravity Recovery and Climate Experiment (GRACE), the Tropical Rainfall Measuring Mission (TRMM), and the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E), respectively. …”
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A Statistical-Based Model for Typhoon Rain Hazard Assessment by Jiyang Gu, Xizhong Cui, Hanping Hong

“…In the present study, we calibrate the parameters for a parametric hurricane rain model by using the precipitation radar (PR) data from the Tropical Rainfall Measuring Mission (TRMM) (i.e., PR-TRMM) and the TRMM microwave imager (TMI) data (i.e., TMI-TRMM). …”
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ResU‐Deep: Improving the Trigger Function of Deep Convection in Tropical Regions With Deep Learning by Mengxuan Chen, Haohuan Fu, Tao Zhang, Lanning Wang

“…Thirty‐three environmental variables within tropical regions are used in ResU‐Deep, including 31 features from ECMWF atmospheric reanalysis (ERA5) data set, and two historical convection fields. Tropical Rainfall Measuring Mission 3B42 data set is used as the precipitation observation. …”
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Spatial Drought Monitoring in Thar Desert Using Satellite-Based Drought Indices and Geo-Informatics Techniques by Muhammad Bilal, Muhammad Usman Liaqat, Muhammad Jehanzeb Masud Cheema, Talha Mahmood, Qasim Khan

“…This actual precipitation data was then compared with the data obtained from the Tropical Rainfall Measuring Mission (TRMM) satellite and R2; Pearson correlation coefficients were also calculated. …”
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Hydro Statistical Assessment of TRMM and GPM Precipitation Products against Ground Precipitation over a Mediterranean Mountainous Watershed (in the Moroccan High Atlas) by Myriam Benkirane, Nour-Eddine Laftouhi, Saïd Khabba, África de la Hera-Portillo

“…The tropical Rainfall Measuring Mission TRMM 3B42 V7 product and its successor, the Global Precipitation Measurement Integrated Multi-satellitE Retrievals for GPM IMERG high-resolution product GPM IMERG V5, have been validated against rain gauges precipitation in an arid mountainous basin where ground-based observations of precipitation are sparse, or spatially undistributed. …”
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Assessment of TMPA 3B42V7 and PERSIANN-CDR in Driving Hydrological Modeling in a Semi-Humid Watershed in Northeastern China by Lu Zhang, Zhuohang Xin, Huicheng Zhou

“…As such, this study aims to provide a comprehensive evaluation on the performances of Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis (TMPA) 3B42V7 and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR), as well as their adequacies in simulating hydrological processes in a semi-humid region in the northeastern China. …”
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Evaluation of Three Gridded Precipitation Products in Characterizing Extreme Precipitation over the Hengduan Mountains Region in China by Wenchang Dong, Genxu Wang, Li Guo, Juying Sun, Xiangyang Sun

“…In this study, the daily precipitation data of three gridded precipitation products (Integrated Multi-satellite Retrievals for GPM, IMERG; Multi-Source Weighted-Ensemble Precipitation, MSWEP; and Tropical Rainfall Measuring Mission, TRMM) were compared with rain gauge observations at 62 ground stations from 2001 to 2016 over the Hengduan Mountain region in China. …”
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Understanding Ku-Band Ocean Radar Backscatter at Low Incidence Angles under Weak to Severe Wind Conditions by Comparison of Measurements and Models by Qiushuang Yan, Chenqing Fan, Jie Zhang, Junmin Meng

“…The rain-free normalized radar cross-section (NRCS) measurements from the Ku-band precipitation radars (PRs) aboard the tropical rainfall measuring mission (TRMM) and the global precipitation measurement (GPM) mission, along with simultaneous sea surface wind truth from buoy observations, stepped-frequency microwave radiometer (SFMR) measurements, and H*Wind analyses, are used to investigate the abilities of the quasi-specular scattering models, i.e., the physical optics model (PO) and the classical and improved geometrical optics models (GO and GO4), to reproduce the Ku-band NRCS at low incidence angles of 0–18° over the wind speed range of 0–45 m/s. …”
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Retrieval of Rain Rates for Tropical Cyclones From Sentinel-1 Synthetic Aperture Radar Images by Xianbin Zhao, Weizeng Shao, Zhengzhong Lai, Xingwei Jiang

“…The validation of the CRAIN_S1 results with Tropical Rainfall Measuring Mission data resulted in a root mean square error of 0.58 mm/h and a correlation of 0.89. …”
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Multi-Year NDVI Values as Indicator of the Relationship between Spatiotemporal Vegetation Dynamics and Environmental Factors in the Qaidam Basin, China by Junpeng Lou, Guoyin Xu, Zhongjing Wang, Zhigang Yang, Sanchuan Ni

“…Based on the remote sensing data of Moderate Resolution Imaging Spectroradiometer (MODIS), Tropical Rainfall Measuring Mission (TRMM) and Global Land Data Assimilation System (GLDAS), we analyzed the spatiotemporal variations of vegetation dynamics and responses to precipitation, accumulative temperature (AT) and soil moisture (SM) in the Qaidam Basin from 2001 to 2016. …”
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The Effect of Anthropogenic Heat and Moisture on Local Weather at Industrial Heat Islands: A Numerical Experiment by Parthasarathi Mishra, Srinivasa Ramanujam Kannan, Chandrasekar Radhakrishnan

“…The WRF simulated maximum rainfall rate using various microphysics schemes are compared with the Tropical rainfall measuring mission (TRMM) observations for validation purposes. …”
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