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...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2021-11-01
|
| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/13/5455/2021/essd-13-5455-2021.pdf |
| _version_ | 1818987305921150976 |
|---|---|
| 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 |
| collection | DOAJ |
| 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> |
| first_indexed | 2024-12-20T19:04:35Z |
| format | Article |
| id | doaj.art-6fad52c1ef6e4bb7992559b63024255f |
| institution | Directory Open Access Journal |
| issn | 1866-3508 1866-3516 |
| language | English |
| last_indexed | 2024-12-20T19:04:35Z |
| publishDate | 2021-11-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Earth System Science Data |
| spelling | doaj.art-6fad52c1ef6e4bb7992559b63024255f2022-12-21T19:29:18ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162021-11-01135455546710.5194/essd-13-5455-2021A high-accuracy rainfall dataset by merging multiple satellites and dense gauges over the southern Tibetan Plateau for 2014–2019 warm seasonsK. Li0F. Tian1M. Y. A. Khan2R. Xu3Z. He4L. Yang5H. Lu6Y. Ma7Department of Hydraulic Engineering, Tsinghua University, Beijing, ChinaDepartment of Hydraulic Engineering, Tsinghua University, Beijing, ChinaDepartment of Hydrogeology, King Abdul-Aziz University, Jeddah, Saudi ArabiaDepartment of Hydraulic Engineering, Tsinghua University, Beijing, ChinaCentre for Hydrology, University of Saskatchewan, Saskatoon, SK S7N 5C8, CanadaSchool of Geography and Ocean Science, Nanjing University, Nanjing, ChinaDepartment of Earth System Science, Tsinghua University, Beijing, ChinaCooperative Institute for Research in the Atmosphere, Colorado State University, 1375 Campus Delivery, Fort Collins, CO 80523, USA<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>https://essd.copernicus.org/articles/13/5455/2021/essd-13-5455-2021.pdf |
| spellingShingle | 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 Earth System Science Data |
| title | 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_short | 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 |
| url | https://essd.copernicus.org/articles/13/5455/2021/essd-13-5455-2021.pdf |
| work_keys_str_mv | AT kli ahighaccuracyrainfalldatasetbymergingmultiplesatellitesanddensegaugesoverthesoutherntibetanplateaufor20142019warmseasons AT ftian ahighaccuracyrainfalldatasetbymergingmultiplesatellitesanddensegaugesoverthesoutherntibetanplateaufor20142019warmseasons AT myakhan ahighaccuracyrainfalldatasetbymergingmultiplesatellitesanddensegaugesoverthesoutherntibetanplateaufor20142019warmseasons AT rxu ahighaccuracyrainfalldatasetbymergingmultiplesatellitesanddensegaugesoverthesoutherntibetanplateaufor20142019warmseasons AT zhe ahighaccuracyrainfalldatasetbymergingmultiplesatellitesanddensegaugesoverthesoutherntibetanplateaufor20142019warmseasons AT lyang ahighaccuracyrainfalldatasetbymergingmultiplesatellitesanddensegaugesoverthesoutherntibetanplateaufor20142019warmseasons AT hlu ahighaccuracyrainfalldatasetbymergingmultiplesatellitesanddensegaugesoverthesoutherntibetanplateaufor20142019warmseasons AT yma ahighaccuracyrainfalldatasetbymergingmultiplesatellitesanddensegaugesoverthesoutherntibetanplateaufor20142019warmseasons AT kli highaccuracyrainfalldatasetbymergingmultiplesatellitesanddensegaugesoverthesoutherntibetanplateaufor20142019warmseasons AT ftian highaccuracyrainfalldatasetbymergingmultiplesatellitesanddensegaugesoverthesoutherntibetanplateaufor20142019warmseasons AT myakhan highaccuracyrainfalldatasetbymergingmultiplesatellitesanddensegaugesoverthesoutherntibetanplateaufor20142019warmseasons AT rxu highaccuracyrainfalldatasetbymergingmultiplesatellitesanddensegaugesoverthesoutherntibetanplateaufor20142019warmseasons AT zhe highaccuracyrainfalldatasetbymergingmultiplesatellitesanddensegaugesoverthesoutherntibetanplateaufor20142019warmseasons AT lyang highaccuracyrainfalldatasetbymergingmultiplesatellitesanddensegaugesoverthesoutherntibetanplateaufor20142019warmseasons AT hlu highaccuracyrainfalldatasetbymergingmultiplesatellitesanddensegaugesoverthesoutherntibetanplateaufor20142019warmseasons AT yma highaccuracyrainfalldatasetbymergingmultiplesatellitesanddensegaugesoverthesoutherntibetanplateaufor20142019warmseasons |