A high-accuracy rainfall dataset by merging multiple satellites and dense gauges over the southern Tibetan Plateau for 2014–2019 warm seasons

<p>Tibetan Plateau (TP) is well known as Asia's water tower from where many large rivers originate. However, due to complex spatial variability in climate and topography, there is still a lack of a high-quality rainfall dataset for hydrological modeling and flood prediction. This study th...

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Autores principales:	K. Li, F. Tian, M. Y. A. Khan, R. Xu, Z. He, L. Yang, H. Lu, Y. Ma
Formato:	article
Lenguaje:	EN
Publicado:	Copernicus Publications 2021
Materias:	Environmental sciences GE1-350 Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/6fad52c1ef6e4bb7992559b63024255f
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spelling	oai:doaj.org-article:6fad52c1ef6e4bb7992559b63024255f2021-11-26T10:52:15ZA high-accuracy rainfall dataset by merging multiple satellites and dense gauges over the southern Tibetan Plateau for 2014–2019 warm seasons10.5194/essd-13-5455-20211866-35081866-3516https://doaj.org/article/6fad52c1ef6e4bb7992559b63024255f2021-11-01T00:00:00Zhttps://essd.copernicus.org/articles/13/5455/2021/essd-13-5455-2021.pdfhttps://doaj.org/toc/1866-3508https://doaj.org/toc/1866-3516<p>Tibetan Plateau (TP) is well known as Asia's water tower from where many large rivers originate. However, due to complex spatial variability in climate and topography, there is still a lack of a high-quality rainfall dataset for hydrological modeling and flood prediction. This study therefore aims to establish a high-accuracy daily rainfall product through merging rainfall estimates from three satellites, i.e., GPM-IMERG, GSMaP and CMORPH, based on a high-density rainfall gauge network. The new merged daily rainfall dataset with a spatial resolution of 0.1<span class="inline-formula"><sup>∘</sup></span> focuses on warm seasons (10 June–31 October) from 2014 to 2019. Statistical evaluation indicated that the new dataset outperforms the raw satellite estimates, especially in terms of rainfall accumulation and the detection of ground-based rainfall events. Hydrological evaluation in the Yarlung Zangbo River basin demonstrated high performance of the merged rainfall dataset in providing accurate and robust forcings for streamflow simulations. The new rainfall dataset additionally shows superiority to several other products of similar types, including MSWEP and CHIRPS. This new rainfall dataset is publicly accessible at <a href="https://doi.org/10.11888/Hydro.tpdc.271303">https://doi.org/10.11888/Hydro.tpdc.271303</a> (Li and Tian, 2021).</p>K. LiF. TianM. Y. A. KhanR. XuZ. HeL. YangH. LuY. MaCopernicus PublicationsarticleEnvironmental sciencesGE1-350GeologyQE1-996.5ENEarth System Science Data, Vol 13, Pp 5455-5467 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Environmental sciences GE1-350 Geology QE1-996.5
spellingShingle	Environmental sciences GE1-350 Geology QE1-996.5 K. Li F. Tian M. Y. A. Khan R. Xu Z. He L. Yang H. Lu Y. Ma A high-accuracy rainfall dataset by merging multiple satellites and dense gauges over the southern Tibetan Plateau for 2014–2019 warm seasons
description	<p>Tibetan Plateau (TP) is well known as Asia's water tower from where many large rivers originate. However, due to complex spatial variability in climate and topography, there is still a lack of a high-quality rainfall dataset for hydrological modeling and flood prediction. This study therefore aims to establish a high-accuracy daily rainfall product through merging rainfall estimates from three satellites, i.e., GPM-IMERG, GSMaP and CMORPH, based on a high-density rainfall gauge network. The new merged daily rainfall dataset with a spatial resolution of 0.1<span class="inline-formula"><sup>∘</sup></span> focuses on warm seasons (10 June–31 October) from 2014 to 2019. Statistical evaluation indicated that the new dataset outperforms the raw satellite estimates, especially in terms of rainfall accumulation and the detection of ground-based rainfall events. Hydrological evaluation in the Yarlung Zangbo River basin demonstrated high performance of the merged rainfall dataset in providing accurate and robust forcings for streamflow simulations. The new rainfall dataset additionally shows superiority to several other products of similar types, including MSWEP and CHIRPS. This new rainfall dataset is publicly accessible at <a href="https://doi.org/10.11888/Hydro.tpdc.271303">https://doi.org/10.11888/Hydro.tpdc.271303</a> (Li and Tian, 2021).</p>
format	article
author	K. Li F. Tian M. Y. A. Khan R. Xu Z. He L. Yang H. Lu Y. Ma
author_facet	K. Li F. Tian M. Y. A. Khan R. Xu Z. He L. Yang H. Lu Y. Ma
author_sort	K. Li
title	A high-accuracy rainfall dataset by merging multiple satellites and dense gauges over the southern Tibetan Plateau for 2014–2019 warm seasons
title_short	A high-accuracy rainfall dataset by merging multiple satellites and dense gauges over the southern Tibetan Plateau for 2014–2019 warm seasons
title_full	A high-accuracy rainfall dataset by merging multiple satellites and dense gauges over the southern Tibetan Plateau for 2014–2019 warm seasons
title_fullStr	A high-accuracy rainfall dataset by merging multiple satellites and dense gauges over the southern Tibetan Plateau for 2014–2019 warm seasons
title_full_unstemmed	A high-accuracy rainfall dataset by merging multiple satellites and dense gauges over the southern Tibetan Plateau for 2014–2019 warm seasons
title_sort	high-accuracy rainfall dataset by merging multiple satellites and dense gauges over the southern tibetan plateau for 2014–2019 warm seasons
publisher	Copernicus Publications
publishDate	2021
url	https://doaj.org/article/6fad52c1ef6e4bb7992559b63024255f
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A high-accuracy rainfall dataset by merging multiple satellites and dense gauges over the southern Tibetan Plateau for 2014–2019 warm seasons

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