Abstract

An integrated satellite precipitation estimation dataset, namely, the Climate Prediction Center morphing method (CMORPH), was used to analyze precipitation regimes across Equatorial Africa between 3°S - 1°N and 24°E - 42°E from 2000 to 2014. This region includes the Rift Valley, part of the Congo Forest, and the Lake Victoria (LV) basin, the second largest lake in the area of the world. Hovmoller diagrams were obtained for all organized convective systems to estimate their spans, duration, and phase speeds. The analysis included 33,189 episodes of westward propagating convective systems. Within the study area, lake and land breezes tend to trigger convection and precipitation over LV as well as mountain-valley circulation trigger thunderstorms over the mountains east of LV and western Rift Valley. The statistics of convective systems streaks on longitude-time diagrams were obtained for yearly frequencies of starting and ending longitudes and times among other morphologic variables. Results indicate organized precipitation episodes tend to move westward across Rift valley and Congo forest with an average phase speed of 10.3 m·s-1. More than 50% of them are triggered over LV and propagate more than 600 km at an average phase speed of 12.1 m·s-1. These convective systems tend to produce high rainfall rates hundreds of kilometers away into the Congo Forest. Half of all episodes of organized convection analyzed have phase speeds between 8 m·s-1 and 16 m·s-1, lasting 8 hr to 16 hr. Most precipitating systems start east of LV and west of Rift Valley in the afternoon to early morning and propagates less than 400 km. Finally, hourly precipitation accumulation and lightning density analysis indicate three preferable regions for convective initiation: 1) The mountain range east of LV; 2) Midwest of LV, and; 3) The Congo Forest mountain range.

Highlights

  • Precipitation estimation from integrating passive microwave (PMW) and IR sensors onboard geostationary and polar orbit satellites is an important data source to study deep convection in tropical areas where rain gauges and weather radar measurements are sparse

  • CMORPH datasets are used to analyze the diurnal cycle of convection and respective dynamic and thermodynamic footprints from the Rift Valley to the Congo Forest with an emphasis on the mesoscale system induced by the lake and mountain-valley circulations by Lake Victory and the Easterlies

  • The results indicate the impact of the Lake Victoria (LV) in climate hundreds of kilometers away in the Congo Forest

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Summary

Introduction

Precipitation estimation from integrating passive microwave (PMW) and IR sensors onboard geostationary and polar orbit satellites is an important data source to study deep convection in tropical areas where rain gauges and weather radar measurements are sparse. This work analyzes the spatial-temporal evolution of precipitating systems in Equatorial Africa with satellite rainfall estimates of the Climate Prediction Center morphing method—CMORPH as in [1]. This method is based on PMW and IR measurements with an 8-km and half-hour time-spatial resolution. It has been successfully used in several studies in South America by [2]-[7]. The main tributary is the Kagera River according to [9]. [10] estimated that the total water volume of LV is composed of streamflow contributions from tributaries (20%) and direct precipitation over LV (80%)

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