A dataset of standard precipitation index reconstructed from multi-proxies over Asia for the past 300 years
Yang Liu,Jingyun Zheng,Zhixin Hao,and Quansheng Ge
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
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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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with the spatial resolution of 2.5°, based on 2912 annually resolved proxy series mainly derived from tree rings and historical documents.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...
