A dataset of standard precipitation index reconstructed from multi-proxies over Asia for the past 300 years

Abstract. Proxy-based precipitation reconstruction is essential to study the inter-annual decadal variability and underlying mechanisms beyond instrumental period that critically needed for climate modeling, prediction attribution. Based on 2912 annually resolved proxy series mainly derived from tree rings historical documents, we present a set of standard index (SPI) reconstructions each year (November–October), covering whole Asia, wet season (i.e., November–April western Asia May–October others) since 1700, with spatial resolution 2.5∘. To screen optimal candidate proxies SPI in grid available its connected region homogeneous rainfall regime similar variability, new approach developed by adopting grid-location-dependent division data. The validation shows these are effective most Asia. assessment data quality compared gauge before calibration time indicates our has high show areas, except few grids Russia, coastal area southeast northern Japan. full dataset can be obtained https://doi.org/10.57760/sciencedb.01829 (Y. Liu et al., 2022).