Abstract

Although known as the warmest deserts of the world, rainfall and integrated water of Lut and Kavir Deserts is still unknown due to insufficient weather stations. The Dual-Frequency Precipitation Radar (DPR) onboard the Global Precipitation Measurement (GPM) mission satellite created an opportunity for use to study the rainfall and vertically integrated liquid water content (LWC) and integrated non-liquid (ice) water content (IWC) using statistical and distance analyses over the two deserts during winter months (December to March) of 2015–2020. The results showed good similarity between the GPM DPR and station data with a Pearson correlation coefficient of 0.81. March has the highest contribution in rain amount, which is about 37% in both deserts. March also has the largest contribution of the rainy days, being about 41.4 and 37.6% in the Lut and Kavir Deserts, respectively. LWC has the highest amount in the Lut Desert, while IWC is the largest in the Kavir Desert. Distance analysis showed that there is a significant increasing trend of rainfall from west to east in the Lut Desert. Elevation does not affect rainfall distribution strongly, but rainfall is highly influenced by the atmospheric-driven large-scale parameters.

摘要

虽然被称为世界上最温暖的沙漠，但由于气象站不足，卢特和卡维尔沙漠的降雨量和综合水量仍然未知。全球降水测量 (GPM) 任务卫星上的双频降水雷达 (DPR) 为研究降雨和垂直综合液态水含量 (LWC) 和综合非液态（冰）水含量 (IWC) 创造了机会在 2015 年至 2020 年的冬季月份（12 月至 3 月）对两个沙漠进行统计和距离分析。结果表明 GPM DPR 与台站数据具有良好的相似性，Pearson 相关系数为 0.81。3月对降雨量的贡献最大，在两个沙漠中均约为37%。3 月的雨天贡献也最大，分别为 41.4 和 37。Lut 和 Kavir 沙漠分别为 6%。LWC在卢特沙漠中数量最多，而IWC在卡维尔沙漠中数量最多。距离分析表明，卢特沙漠地区降雨量自西向东呈显着增加趋势。海拔对降雨分布的影响不大，但降雨受大气驱动的大尺度参数的影响很大。