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Simon Tucker

Researcher at Met Office

Publications -  17
Citations -  726

Simon Tucker is an academic researcher from Met Office. The author has contributed to research in topics: Climate change & Climate model. The author has an hindex of 9, co-authored 17 publications receiving 458 citations.

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Climate change projections of the North American Regional Climate Change Assessment Program (NARCCAP)

TL;DR: This article investigated major results of the NARCCAP multiple regional climate model (RCM) experiments driven by multiple global climate models (GCMs) regarding climate change for seasonal temperature and precipitation over North America, focusing on two major questions: how do the RCM simulated climate changes differ from those of the parent GCMs and how important are the relative contributions of RCMs and GCMs to the uncertainty (variance explained) for different seasons and variables?
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Enhanced future changes in wet and dry extremes over Africa at convection-permitting scale.

TL;DR: Results from climate change experiments with a convection-permitting model, for the first time over an Africa-wide domain, show more severe future changes in both wet and dry extremes over Africa compared to a traditional coarser resolution climate model.
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A Pan-African Convection-Permitting Regional Climate Simulation with the Met Office Unified Model: CP4-Africa

TL;DR: A convection-permitting multi-year regional climate simulation using the Met Office Unified Model (UM) has been run for the first time on an Africa-wide domain this paper, which is run as part of the Future Climate for Africa (FCFA) Improving Model Processes for African Climate (IMPALA) project.
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Effects of Explicit Convection on Future Projections of Mesoscale Circulations, Rainfall, and Rainfall Extremes over Eastern Africa

TL;DR: This paper used pan-African climate change simulations that explicitly model the rainfall-generating characteristics of Eastern Africa's fast-growing population is vulnerable to changing rainfall and extreme weather conditions, and used the first pan- African climate change simulation that explicitly modeled the rainfall generation characteristics.