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
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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
10509 - Meteorology and atmospheric sciences
Result continuities
Project
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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