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Mxolisi Shongwe

Researcher at South African Weather Service

Publications -  16
Citations -  4911

Mxolisi Shongwe is an academic researcher from South African Weather Service. The author has contributed to research in topics: Climate model & Climate change. The author has an hindex of 10, co-authored 16 publications receiving 4533 citations. Previous affiliations of Mxolisi Shongwe include University of Pretoria & Royal Netherlands Meteorological Institute.

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Book Chapter

Chapter 12 - Long-term climate change: Projections, commitments and irreversibility

TL;DR: The authors assesses long-term projections of climate change for the end of the 21st century and beyond, where the forced signal depends on the scenario and is typically larger than the internal variability of the climate system.
Journal ArticleDOI

Projected Changes in Mean and Extreme Precipitation in Africa under Global Warming. Part I: Southern Africa

Abstract: Probable changes in mean and extreme precipitation in East Africa are estimated from general circulation models (GCMs) prepared for the Intergovernmental Panel on Climate Change Fourth Assessment Report (AR4). Bayesian statistics are used to derive the relative weights assigned to each member in the multimodel ensemble. There is substantial evidence in support of a positive shift of the whole rainfall distribution in East Africa during the wet seasons. The models give indications for an increase in mean precipitation rates and intensity of high rainfall events but for less severe droughts. Upward precipitation trends are projected from early this (twenty first) century. As in the observations, a statistically significant link between sea surface temperature gradients in the tropical Indian Ocean and short rains (October–December) in East Africa is simulated in the GCMs. Furthermore, most models project a differential warming of the Indian Ocean during boreal autumn. This is favorable for an increa...
Journal ArticleDOI

Impact of soil moisture on extreme maximum temperatures in Europe

TL;DR: In this paper, the influence of soil moisture (SM) on summer monthly maximum temperatures (TXx) using water balance model-based SM estimates (driven with observations) and temperature observations is investigated.