Rajaveni Sundara Pandian, Nimya S S, Sengupta Saikat, Datye Amey, Sarma Dipankar
Centre for Climate Change Research, Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune, India.
Department of Earth, Atmospheric and Planetary Sciences, Purdue University, West Lafayette, IN, USA.
Sci Data. 2024 Dec 28;11(1):1445. doi: 10.1038/s41597-024-04308-7.
High-frequency precipitation (solid/liquid) isotope datasets are useful for identification of moisture sources and various dynamical and thermodynamical processes controlling precipitation formation. Here, we report three-year (2019-2021) daily rain isotope (both oxygen, δO hereafter, and hydrogen, δH, hereafter) datasets from three unique locations in India during the Indian Summer Monsoon (ISM). The locations are- (1) Port Blair- an island situated in the Bay of Bengal (BoB); (2) Mahabaleshwar, located at the crest of the Western Ghats Mountain; and (3) Tezpur, in northeast India, situated close to a dense forest. These stations receive moisture from different sources and experience different rain mechanisms during ISM. Therefore, the isotope datasets presented here would be useful for envisaging the impact of diverse rain formation processes on isotope values during the ISM.
高频降水（固态/液态）同位素数据集有助于识别水汽来源以及控制降水形成的各种动力和热力过程。在此，我们报告了印度夏季风（ISM）期间，来自印度三个独特地点的为期三年（2019 - 2021年）的每日降雨同位素（以下简称氧同位素δO和氢同位素δH）数据集。这些地点分别是：（1）位于孟加拉湾（BoB）的岛屿布莱尔港；（2）位于西高止山脉山顶的马哈巴利普兰；（3）位于印度东北部、靠近茂密森林的提斯普尔。这些站点在ISM期间接收来自不同来源的水汽，并经历不同的降雨机制。因此，本文呈现的同位素数据集将有助于设想ISM期间不同降雨形成过程对同位素值的影响。
