Abstract In the present study, rainfall estimates from TRMM (Tropical Rainfall Measuring Mission) and GPM (Global Precipitation Mission) constellation of satellites are analyzed in the context of rainfall induced landslide occurrences over Western Ghats (WG) of India along with the daily gridded rainfall data developed by the India Meteorological Department (IMD) and ARW- Weather Research and Forecasting (WRF) numerical model simulations. This study aims to analyze the pattern of changes in rain rate and total rainfall triggering the large landslides over WG in TMPA (product of TRMM) and IMERG (GPM product) rainfall data sets. As a case study, performance of IMERG V5 is assessed during Malin landslide which occurred on 30 July 2014 (initial GPM era). Results indicate that IMERG shows significant increase in rain rate (> 60mm/h in half-hourly data) during Malin landslide. Near real-time IMERG V5, underestimates the rain rate but increasing pattern of rain-rate are observed which is similar to that of final version. Spatial pattern of ARW-WRF rainfall output is also close to the satellite and IMD rainfall patterns. We propose that IMERG V5 can be used as an indicator to reliably depict the higher rainfall scenario over the sites that are vulnerable to rainfall induced landslide occurrence over the WG region.

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探索卫星降雨数据以监测降雨诱发的滑坡——案例研究

摘要 在本研究中，在印度西高止山脉 (WG) 降雨引发的滑坡事件以及每日网格降雨量的背景下，分析了来自 TRMM（热带降雨量测量任务）和 GPM（全球降水任务）卫星星座的降雨量估计值。由印度气象局 (IMD) 和 ARW-天气研究与预报 (WRF) 数值模式模拟开发的数据。本研究旨在分析在 TMPA（TRMM 产品）和 IMERG（GPM 产品）降雨数据集中引发 WG 上大滑坡的降雨率和总降雨量变化模式。作为案例研究，在 2014 年 7 月 30 日（初始 GPM 时代）发生的马林滑坡期间评估了 IMERG V5 的性能。结果表明 IMERG 显示降雨率显着增加 (> 60 毫米/小时（半小时数据）在马林滑坡期间。接近实时的 IMERG V5，低估了降雨率，但观察到降雨率的增加模式，这与最终版本相似。ARW-WRF 降雨输出的空间格局也接近卫星和 IMD 降雨格局。我们建议 IMERG V5 可用作指标，以可靠地描述 WG 区域易受降雨诱发滑坡发生的地点的较高降雨情况。