Articles | Volume 14, issue 12
https://doi.org/10.5194/essd-14-5717-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-5717-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
23 Dec 2022
Data description paper |
| 23 Dec 2022
| 23 Dec 2022
A dataset of standard precipitation index reconstructed from multi-proxies over Asia for the past 300 years
Yang Liu
Key Laboratory of Land Surface Pattern and Simulation, Institute of
Geographic Sciences and Natural Resources Research, Chinese Academy of
Sciences, Beijing 100101, China
Key Laboratory of Land Surface Pattern and Simulation, Institute of
Geographic Sciences and Natural Resources Research, Chinese Academy of
Sciences, Beijing 100101, China
College of Resources and Environment, University of Chinese Academy
of Sciences, Beijing 100049, China
Zhixin Hao
Key Laboratory of Land Surface Pattern and Simulation, Institute of
Geographic Sciences and Natural Resources Research, Chinese Academy of
Sciences, Beijing 100101, China
College of Resources and Environment, University of Chinese Academy
of Sciences, Beijing 100049, China
Quansheng Ge
CORRESPONDING AUTHOR
Key Laboratory of Land Surface Pattern and Simulation, Institute of
Geographic Sciences and Natural Resources Research, Chinese Academy of
Sciences, Beijing 100101, China
College of Resources and Environment, University of Chinese Academy
of Sciences, Beijing 100049, China
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Short summary
Proxy-based precipitation reconstruction is essential to study the inter-annual to decadal variability and underlying mechanisms beyond the instrumental period that is critical for climate modeling, prediction and attribution. We present a set of standard precipitation index reconstructions for the whole year and wet seasons over the whole of Asia since 1700, with the spatial resolution of 2.5°, based on 2912 annually resolved proxy series mainly derived from tree rings and historical documents.
Proxy-based precipitation reconstruction is essential to study the inter-annual to decadal...
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