Results 161 to 170 of about 13,812 (191)

High-Resolution Rainfall Estimation Using Ensemble Learning Techniques and Multisensor Data Integration. [PDF]

Sensors (Basel)
Putra M, Rosid MS, Handoko D.
europepmc   +1 more source

A Benchmark Dataset for Satellite-Based Estimation and Detection of Rain. [PDF]

Sci Data
Pfreundschuh S, Arulraj M, Behrangi A, Bogerd L, Calheiros AJP, Casella D, Dolatabadi N, Guilloteau C, Gong J, Kummerow CD, Kirstetter P, Lee G, Maahn M, Milani L, Panegrossi G, Palharini R, Petković V, Ryu S, Sanó P, Tan J.   +19 more
europepmc   +1 more source

Spatial Modeling of the Potential Distribution of Dengue in the City of Manta, Ecuador. [PDF]

Int J Environ Res Public Health
Lalangui-Vivanco K, Quentin E, Sánchez-Murillo M, Cotera-Mantilla M, Loor L, Espinoza M, Sánchez-Rodríguez JM, Espinel M, Ponce P, Cevallos V.   +9 more
europepmc   +1 more source

Review of GPM IMERG performance: A global perspective

Remote Sensing of Environment, 2022
Accurate, reliable, and high spatio-temporal resolution precipitation data are vital for many applications, including the study of extreme events, hydrological modeling, water resource management, and hydroclimatic research in general. In this study, we performed a systematic review of the available literature to assess the performance of the ...
Simon Michael Papalexiou, Martin Hanel, Mijael Vargas   +2 more
exaly   +5 more sources

A Spatial-Temporal Extreme Precipitation Database from GPM IMERG

, 2021
Extreme precipitation events (EPEs) have the potential to create catastrophic flooding, landslides, and infrastructure damage. We diagnose the spatial and temporal characteristics of EPEs by using the Integrated Multi-SatellitE Retrievals for Global Precipitation Measurement mission (GPM; IMERG) precipitation estimates to construct spatial-temporal (xy-
Zhou, Yaping, Nelson, Kevin, Mohr, Karen I., Huffman, George J., Levy, Robert, Grecu, Mircea   +5 more
openaire   +2 more sources

Statistical Evaluation of the Latest GPM-Era IMERG and GSMaP Satellite Precipitation Products in the Yellow River Source Region

Water (Switzerland), 2020
As the successor of Tropical Rainfall Measuring Mission, Global Precipitation Measurement (GPM) has released a range of satellite-based precipitation products (SPPs).
Fei Yuan, Jiayong Shi, Liliang Ren
exaly   +2 more sources

Evaluation of the GPM-IMERG Precipitation Product for Flood Modeling in a Semi-Arid Mountainous Basin in Morocco

Water (Switzerland), 2020
A new precipitation dataset is provided since 2014 by the Global Precipitation Measurement (GPM) satellite constellation measurements combined in the Integrated Multi-satellite Retrievals for GPM (IMERG) algorithm.
Mohamed Elmehdi Saïdi, El Mahdi El Khalki, Yves Tramblay   +2 more
exaly   +2 more sources

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IMERG Validation with the GPM Validation Network

2022
<p>The Global Precipitation Measurement (GPM) Mission Validation Network (VN) is a NASA software system run at Marshall Space Flight Center which geometrically matches three-dimensional precipitation retrievals from the GPM Core Observatory (CO) sensors to 118 international ground-based radars.  To advance the capabilities ...
Daniel Watters, Patrick Gatlin, Pierre Kirstetter, George Huffman, Jackson Tan, Eric Nelkin, David Bolvin, David Wolff, Jianxin Wang   +8 more
openaire   +1 more source

Evaluation of GPM Imerg Products Over South Korea

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
The Integrated Multi-satellitE Retrievals for GPM (IMERG) is a global gridded precipitation product that unifies measurements from a network of satellites in the GPM constellation. Multi-temporal evaluation of IMERG products for a specific region is essential to the algorithm improvement and product applications.
Jianxin Wang, Walter A. Petersen, David B. Wolff, Geun-Hyeok Ryu   +3 more
openaire   +1 more source

Status and Plans for GPM and IMERG as They Enter Version 07

2022
<p>As part of the “extended operations” past the 3-year prime mission, the Global Precipitation Measurement (GPM) mission continues to develop improved products, currently rolling out the next Version 07 datasets.  This is later than expected, due to unforeseen complications in upgrading algorithms.
George Huffman, Scott Braun, David Bolvin, Eric Nelkin, Jackson Tan   +4 more
openaire   +1 more source