Estimation of extreme daily precipitation thermodynamic scaling using gridded satellite precipitation products over tropical land

This study explores the tropical land distribution of precipitation and its extremes focusing on the daily 1 degrees x 1 degrees scale. A common period of 5-year over the tropical belt (30 degrees s-30 degrees n) corresponding to more than 39 million data points, is used to highlight the robust (and non-robust) observed features. A set of 10 observational products is analyzed ranging from satellite only to rain gauges only products and various blended intermediates as well as a sub ensemble of satellite-based products relying upon microwave observations. Overall, the various datasets show a small diversity of response as far as tropical land mean precipitation is concerned. When sorted by surface temperature, the spread in mean rainfall is also well below 10% over a large span of the surface temperature regime. The consistency between the surface temperature and the extreme precipitation is further investigated by computing the thermodynamic scaling of daily precipitation extreme with surface temperature. The wet days' 99.9th and 99th percentiles are considered and corresponds to 'extreme' extremes (similar to 110 mm d(-1)) and 'moderate' extremes (similar to 60 mm d(-1)), respectively. The analysis reveals three regimes over the 287-305 K 2 m temperature range. In the cold regime, 287-293 K, extremes exhibit no dependence to surface temperature while in the warm regime, 299-305 K, the extremes decrease with temperature as identified in previous studies. Over the 293-299 K regime, the scaling of the sub ensemble of satellite products is similar to 5.2 K/% for the 'extremes' extremes and 5.0% for the 'moderate' extremes, and is robust throughout the sub ensemble. This analysis fills the regional gap of previous conventional data based studies and further confirms the Clausius-Clapeyron theoretical expectation for the tropical land regions.