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Evaluation of GPM IMERG Products and Estimation of Warm-Season Precipitation in Crimea  id статьи: 1017
Тип публикации
статья в журнале
Язык
En
Журнал
PHYSICAL OCEANOGRAPHY

ISSN:0928-5105
eSSN:1573-160X
Год
2021
Выходные данные
том 28
выпуск 4
страницы 454-467
Авторы
Lvova, M.V.1
EDN
Абстракт
Purpose. The study was aimed at the evaluation of the Integrated MultisatellitE Retrievals from GPM (IMERG) remote sensing dataset using ground observations and estimation of the 2006-2018 warmseason precipitation in the Crimean Peninsula. Methods and Results. Evaluation of the IMERG dataset was performed using the meteorological station observations treated as the ground truth. We provided the multiyear statistical characteristics of precipitation amounts, frequency and intensity for different climate zones of the Crimean Peninsula. We considered the spatial variability of summer precipitation, bias and correlation between IMERG and the ground observations. Conclusions. IMERG has a weaker spatial variability compared to the ground observations. The warm-season IMERG bias is small in the central and mountainous parts of Crimea, whereas the precipitation estimates in the coastal zones are substantially overestimated. The IMERG wet bias is mostly caused by the excessive rainfall frequency. The temporal variability of IMERG is in good agreement with the observations with an average correlation coefficient of 0.73. For most of the metrics considered, warm-season IMERG precipitation significantly outperforms the other datasets in the central and mountainous parts of Crimea and could be used for practical tasks with certain precautions. At the same time, due to the lack of calibration over the marine areas, the quality of IMERG precipitation estimates in the coastal zones is reduced.
Ключевые слова
Atmospheric precipitation, Crimea, E-OBS, Evaluation, GPM, IMERG, TRMM
Дата занесения
2021-10-08 10:14:25
Scopus
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Квартиль Q4
WoS
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Финансирование:

20-45-920017

0827-2018-0001
Фундаментальные исследования процессов взаимодействия в системе океан–атмосфера, определяющих региональную пространственно-временную изменчивость природной среды и климата