Assessing Water Availability Over Peninsular Malaysia Using Public Domain Satellite Data Products by Mohamad Idris, Ali, Mazlan, Hashim, H. S., M. Zin

“…The water-balance analysis is used to compute the spatio-temporal water availability with main inputs; the precipitation and actual evapotranspiration rate (AET), both fully derived from public-domain satellite products of Tropical Rainfall Measurement Mission (TRMM) and MODIS, respectively. …”
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Delay in timing and spatial reorganization of rainfall due to urbanization- analysis over India’s smart city Bhubaneswar by Madhusmita Swain, Raghavendra Raju Nadimpalli, Uma Charan Mohanty, Pulak Guhathakurta, Akhilesh Gupta, Akshara Kaginalkar, Fei Chen, Dev Niyogi

“…The India Meteorological Department (hourly station and daily gridded) and Tropical Rainfall Measurement Mission (3-hourly) datasets are analyzed for the 1980–2018 period (39 years) for different seasons separately. …”
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Assessing water availability over peninsular Malaysia using public domain satellite data products by Ali, M. I., Hashim, Mazlan, Zin, H. S. M.

“…The water-balance analysis is used to compute the spatio-temporal water availability with main inputs; the precipitation and actual evapotranspiration rate (AET), both fully derived from public-domain satellite products of Tropical Rainfall Measurement Mission (TRMM) and MODIS, respectively. …”
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Assessing water availability over peninsular Malaysia using public domain satellite data products by Ali, Mohamad Idris, Hashim, Mazlan, Zin, H. S. M.

“…The water-balance analysis is used to compute the spatio-temporal water availability with main inputs; the precipitation and actual evapotranspiration rate (AET), both fully derived from public-domain satellite products of Tropical Rainfall Measurement Mission (TRMM) and MODIS, respectively. …”
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The Impact of MJO, Kelvin, and Equatorial Rossby Waves on the Diurnal Cycle over the Maritime Continent by Lakemariam Y. Worku, Ademe Mekonnen, Carl J. Schreck

“…The impacts of the Madden–Julian Oscillation (MJO), Kelvin waves, and Equatorial Rossby (ER) waves on the diurnal cycle of rainfall and types of deep convection over the Maritime Continent are investigated using rainfall from the Tropical Rainfall Measurement Mission Multisatellite Precipitation Analysis and Infrared Weather States (IR–WS) data from the International Satellite Cloud Climatology Project. …”
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Evaluation and Hydrological Application of Four Gridded Precipitation Datasets over a Large Southeastern Tibetan Plateau Basin by Yueguan Zhang, Qin Ju, Leilei Zhang, Chong-Yu Xu, Xide Lai

“…In this study, four widely used precipitation products, including the Asian Precipitation Highly Resolved Observational Data Integration Towards Evaluation of the water resources (APHRODITE), the High Asia Reanalysis (HAR), and the satellite-based precipitation estimates from Global Precipitation Measurement (GPM) and Tropical Rainfall Measurement Mission (TRMM), were comprehensively evaluated by combining statistical analysis and hydrological simulation over the Upper Brahmaputra (UB) River Basin of TP during 2001–2013. …”
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Comparative Analysis of TMPA and IMERG Precipitation Datasets in the Arid Environment of El-Qaa Plain, Sinai by Mona Morsy, Thomas Scholten, Silas Michaelides, Erik Borg, Youssef Sherief, Peter Dietrich

“…For this purpose, 0.1° and 0.25° spatial resolution TMPA (Tropical Rainfall Measurement Mission Multi-satellite Precipitation Analysis) and IMERG (Integrated Multi-satellite Retrievals for Global Precipitation Measurement) data were retrieved and analyzed, employing appropriate statistical metrics. …”
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Extreme Orographic Rainfall in the Eastern Andes Tied to Cold Air Intrusions by Masih Eghdami, Ana P. Barros

“…Analysis of CAI mesoscale dynamics was conducted using four decades of European Center Medium-Range Weather Forecasts (ECMWF) reanalysis, Tropical Rainfall Measurement Mission (TRMM) data products, and rain-gauge observations with emphasis on characterizing year-round CAI frequency, CAI interactions with Andes topography, and their impact on orographic precipitation climatology. …”
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Clasificación digital de masas nubosas a partir de imágenes meteorológicas usando algoritmos de aprendizaje de máquina by Salomón Einstein Ramírez-Fernández, Iván Alberto Lizarazo-Salcedo

“…Adicionalmente, la clasificación obtenida con RF fue comparada pixel a pixel con estimaciones de precipitación de la NASA Tropical Rainfall Measurement Mission (TRMM) obteniendo una exactitud global del 94%. …”
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Statistical and Hydrological Evaluations of Multiple Satellite Precipitation Products in the Yellow River Source Region of China by Chongxu Zhao, Liliang Ren, Fei Yuan, Limin Zhang, Shanhu Jiang, Jiayong Shi, Tao Chen, Shuya Liu, Xiaoli Yang, Yi Liu, Emmanuel Fernandez-Rodriguez

“…Four SPPs were statistically evaluated, namely, the Tropical Rainfall Measurement Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) 3B42V7, Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Climate Data Record (PERSIANN-CDR), Integrated Multisatellite Retrievals for Global Precipitation Measurement final run (IMERG-F), and gauge-corrected Global Satellite Mapping of Precipitation (GSMaP-Gauge) products. …”
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Precipitation analysis for a flood early warning system in the Manafwa River Basin, Uganda by Cecinati, Francesca

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Dynamic sub-grid heterogeneity of convective cloud in a global model: Description and Evaluation of the Convective Cloud Field Model (CCFM) in ECHAM6–HAM2 by Kipling, Z, Stier, P, Labbouz, L, Wagner, T

“…</p> <br/> <p>We find that the spatiotemporal distribution of precipitation is improved, both against a climatology from the Global Precipitation Climatology Project (GPCP) and also against diurnal cycles from the Tropical Rainfall Measurement Mission (TRMM) with a reduced tendency for precipitation to peak too early in the afternoon. …”

Comparison Study of Multiple Precipitation Forcing Data on Hydrological Modeling and Projection in the Qujiang River Basin by Yongyu Song, Jing Zhang, Xianyong Meng, Yuyan Zhou, Yuequn Lai, Yang Cao

“…In this study, two satellite-based precipitation products (Tropical Rainfall Measurement Mission, TRMM; Integrated Multi-satellite Retrievals for GPM, IMERG) and one reanalysis precipitation product (China Meteorological Assimilation Driving Datasets for the Soil and Water Assessment Tool (SWAT) model, CMADS) are studied to compare their streamflow simulation performance in the Qujiang River Basin, China, using the SWAT model with gauged rainfall data as a reference. …”
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Evapotranspiration and Precipitation over Pasture and Soybean Areas in the Xingu River Basin, an Expanding Amazonian Agricultural Frontier by Gabriel de Oliveira, Jing M. Chen, Guilherme A. V. Mataveli, Michel E. D. Chaves, Jing Rao, Marcelo Sternberg, Thiago V. dos Santos, Carlos A. C. dos Santos

“…We used ET estimates from the Moderate Resolution Imaging Spectroradiometer (MODIS) and PPT estimates from the Tropical Rainfall Measurement Mission (TRMM) satellite. Our results showed that the annual average ET in the pasture was ~20% lower than the annual average in soybean areas. …”
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Accuracy Evaluation of Two High-Resolution Satellite-Based Rainfall Products: TRMM 3B42V7 and CMORPH in Shanghai by Qin Jiang, Weiyue Li, Jiahong Wen, Can Qiu, Weiwei Sun, Qilin Fang, Ming Xu, Jianguo Tan

“…In this paper, we evaluated the accuracies of two high-resolution satellite-based rainfall products: the Tropical Rainfall Measurement Mission (TRMM) rainfall product 3B42V7 and the Climate Prediction Center morphing (CMORPH) technique from January 2010 to December 2011 in Shanghai, by using categorical metrics (Probability of Detection, False Alarm Ratio, and Critical Success Index) and statistical indicators (Mean Absolute Error, Root Mean Square Error, Relative Bias, and Correlation Coefficient). …”
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Evaluation of Remotely Sensed and Interpolated Environmental Datasets for Vector-Borne Disease Monitoring Using In Situ Observations over the Amhara Region, Ethiopia by Woubet G. Alemu, Michael C. Wimberly

“…In contrast FLDAS had the higher bias and error and the lowest agreement and Global Precipitation Mission/Tropical Rainfall Measurement Mission (GPM/TRMM) data were intermediate. …”
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Dynamic subgrid heterogeneity of convective cloud in a global model: description and evaluation of the Convective Cloud Field Model (CCFM) in ECHAM6–HAM2 by Kipling, Z, Stier, P, Labbouz, L, Wagner, T

“…<br/><br/> We find that the spatio-temporal distribution of precipitation is improved, both against a climatology from the Global Precipitation Climatology Project (GPCP) and also against diurnal cycles from the Tropical Rainfall Measurement Mission (TRMM) with a reduced tendency for precipitation to peak too early in the afternoon. …”

Analysis of spatial patterns of daily precipitation and wet spell extremes in Southeast Asia by Mandapaka, Pradeep Venkata, Qin, Xiaosheng, Lo, Edmond Yat Man

“…The study investigates the spatial distribution of extreme daily rainfall and wet spells in Southeast Asia (SEA) at annual, seasonal, and intraseasonal scales using 16 years of data from the Tropical Rainfall Measurement Mission. A detailed analysis is conducted using various indices that characterize exceedance probabilities and relative contribution of extremes to the total rainfall. …”
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Assessment of Merged Satellite Precipitation Datasets in Monitoring Meteorological Drought over Pakistan by Khalil Ur Rahman, Songhao Shang, Muhammad Zohaib

“…MSPDs evaluated in the current study include Regional Weighted Average Least Square (RWALS), Weighted Average Least Square (WALS), Dynamic Clustered Bayesian model Averaging (DCBA), and Dynamic Bayesian Model Averaging (DBMA) algorithms, while the set of SPDs is Global Precipitation Measurement (GPM)-based Integrated Multi-Satellite Retrievals for GPM (IMERG-V06), Tropical Rainfall Measurement Mission (TRMM) Multi-Satellite Precipitation Analysis (TMPA 3B42 V7), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), and ERA-Interim (re-analyses dataset). …”
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Utilization of combined remote sensing techniques to detect environmental variables influencing malaria vector densities in rural West Africa by Dambach Peter, Machault Vanessa, Lacaux Jean-Pierre, Vignolles Cécile, Sié Ali, Sauerborn Rainer

“…Data collection on larvae, adult vectors and geographic parameters in the field, was amended by using remote sensing techniques to gather data on altitude (Digital Elevation Model = DEM), precipitation (Tropical Rainfall Measurement Mission = TRMM), land surface temperatures (LST).…”
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