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Performance Evaluation of GPM IMERG Precipitation Products over the Tropical Oceans Using Buoys

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F23%3A97898" target="_blank" >RIV/60460709:41330/23:97898 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1175/JHM-D-22-0216.1" target="_blank" >https://doi.org/10.1175/JHM-D-22-0216.1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1175/JHM-D-22-0216.1" target="_blank" >10.1175/JHM-D-22-0216.1</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Performance Evaluation of GPM IMERG Precipitation Products over the Tropical Oceans Using Buoys

  • Original language description

    The majority of global precipitation falls in tropical oceans. Nonetheless, due to the lack of in situ precipitation measurements, the number of studies over the tropical oceans remains limited. Similarly, the performance of IMERG products over the tropical oceans is unknown. In this context, this study quantitatively evaluates the 20 years (2001–20) of IMERG V06 Early, Late, and Final products against the in situ buoys’ estimates using the pixel–point approach at a daily scale across the tropical oceans. Results show that IMERG represents well the mean spatial pattern and spatial variation of precipitation, though significant differences exist in the magnitude of precipitation amount. Overall, IMERG notably overestimates precipitation across the tropical ocean, with maxima over the western Pacific and Indian Oceans, while it performs better over the eastern Pacific and Atlantic Oceans. Moreover, irrespective of the region, IMERG sufficiently de-tects precipitation events (i.e., >0.1 mm day21) for high<precipitation regions, though it significantly overestimates the magnitude. Despite IMERG’s detection issues of precipitation events over the regions with lower precipitation, it is in good agreement with the buoys in total precipitation estimation. The positive hit bias and false alarm bias are the major contributions to the overall total positive bias. Furthermore, the detection capability of IMERG tends to decline with increasing precipitation rates. In terms of IMERG runs, the IMERG Final product performs slightly better than the Early and Late runs. More detailed studies over the tropical oceans are required to better characterize the biases and their sources.

  • 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

    10509 - Meteorology and atmospheric sciences

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    JOURNAL OF HYDROMETEOROLOGY

  • ISSN

    1525-755X

  • e-ISSN

    1525-755X

  • Volume of the periodical

    24

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    16

  • Pages from-to

    1755-1770

  • UT code for WoS article

    001112566700002

  • EID of the result in the Scopus database

    2-s2.0-85174175898