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: | , , , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Copernicus Publications
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/6fad52c1ef6e4bb7992559b63024255f |
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| Sumario: | <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> |
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