Assessment of GPM and SM2RAIN-ASCAT rainfall products over complex terrain in southern Italy

摘要: Abstract The assessment of precipitation over land is extremely important for a number scientific purposes related to the mitigation natural hazards, climate modelling and prediction, famine disease monitoring, cite few. Due difficulties cost maintain ground monitoring networks, i.e., raingauges meteorological radars, remote sensing receiving more attention in recent decade(s). However, accuracy satellite observations rainfall should be assessed with information as it affected by factors (topography, vegetation density, land-sea interface). Calabria peninsular region southern Italy characterized complex topography, dense narrow North-South elongated shape, thus being very challenging place retrieval from sensing. In this study, we built high-quality datasets radars testing three remotely sensed products: 1) Integrated Multi-satellitE Retrievals Global Precipitation Measurement product (IMERG), 2) SM2RASC obtained application SM2RAIN (Soil Moisture TO RAIN) algorithm Advanced SCATterometer (ASCAT) derived soil moisture data, 3) simple combination IMERG SM2RASC. products carried out at different time accumulation (e.g., 0.5 24 h) ~2-year period 10th March 2015, 31st December 2016. Results show that has good performance resolutions higher than 6 h. At daily scale, similar results median correlations, R, ~0.60, root mean square error, RMSE, ~7.6 mm/day (BIAS −0.85 +0.51 mm/day, respectively). combined outperforms parent (median R > 0.70, RMSE