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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • Project

  • 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