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The effects of altered vegetation on local climate change with respect to glaciers atop Mt. Kilimanjaro
The objective of this study is to determine if changes in vegetation around the region of Mount Kilimanjaro enhance or inhibit the glaciers atop the mountain. Using the Weather Research and Forecasting Model (WRF) Advanced Research WRF (ARW) model, a series of simulations are run during the short rains of East Africa for the year 2000. Three simulations were performed with a default albedo, an albedo reduction from 0.22 to 0.18, and an albedo increase from 0.22 to 0.25. The changes show small impacts on the seasonal temperature values near the top of the mountain with temperatures decreasing in both cases (0.12% in the 0.25 scenario and 0.02% in the 0.18 scenario). However, precipitation changes are more significant with a 6.6% decrease in the 0.18 case and a 2.5% increase in the 0.25 case. The changes in precipitation are influenced significantly by the amount of shortwave radiation absorbed at the surface. The increase in shortwave radiation in the 0.25 case triggered more convection leading to more precipitation. The opposite effect is noticeable in the 0.18 scenario. These changes led to an increase in latent heat flux which we believe would tend to accelerate sublimation atop the mountain. Our modeling results support our hypothesis that the response of precipitation to land use change is significantly greater than that of temperature, and therefore a more likely factor for modulating the glacial volume over Kilimanjaro summit.
Initially we have focused on changes in albedo as a proxy for land use change. Future work will extend this preliminary investigation to include ensemble simulations, simulations of the seasons of the annual cycle, evapotranspiraton and surface effects of vegetation forcing, and the combined effect of all the three vegetation factors to infer the total effect of vegetation anomalies on glacier recession.
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