Review of GPM IMERG performance: A global perspective
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F22%3A91613" target="_blank" >RIV/60460709:41330/22:91613 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/abs/pii/S0034425721004740?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S0034425721004740?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.rse.2021.112754" target="_blank" >10.1016/j.rse.2021.112754</a>
Alternative languages
Result language
angličtina
Original language name
Review of GPM IMERG performance: A global perspective
Original language description
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 Integrated Multi Satellite Retrievals for GPM products across different geographical locations and climatic conditions around the globe. Asia, and in particular China, are the subject of the largest number of IMERG evaluation studies on the continental and country level. When compared to ground observational records, IMERG is found to vary with seasons, as well as precipitation type, structure, and intensity. It is shown to appropriately estimate and detect regional precipitation patterns, and their spatial mean, while its performance can be improved over mountainous regions characterized by orographic precipitation, complex terrains, and for winter precipitatio
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Remote Sensing of Environment
ISSN
0034-4257
e-ISSN
1879-0704
Volume of the periodical
2022
Issue of the periodical within the volume
268
Country of publishing house
GB - UNITED KINGDOM
Number of pages
19
Pages from-to
1-19
UT code for WoS article
000722575600001
EID of the result in the Scopus database
2-s2.0-85118348174