scholarly journals Simulating midsummer climate over southern Africa using a nested regional climate model

1999 ◽  
Vol 104 (D16) ◽  
pp. 19015-19025 ◽  
Author(s):  
A. M. Joubert ◽  
J. J. Katzfey ◽  
J. L. McGregor ◽  
K. C. Nguyen
Keyword(s):  
Regional Climate Model ◽  
Southern Africa ◽  
Climate Model ◽  
Regional Climate

Quantifying internal variability in a regional climate model: a case study for Southern Africa

2011 ◽  
Vol 37 (7-8) ◽  
pp. 1335-1356 ◽  
Author(s):  
Julien Crétat ◽  
Clémence Macron ◽  
Benjamin Pohl ◽  
Yves Richard
Keyword(s):  
Regional Climate Model ◽  
Southern Africa ◽  
Climate Model ◽  
Regional Climate ◽  
Internal Variability

Idealized SST anomaly regional climate model experiments: A note of caution

2010 ◽  
Vol 34 (1) ◽  
pp. 59-74 ◽  
Author(s):  
C.J.R. Williams ◽  
D.R. Kniveton ◽  
R. Layberry
Keyword(s):  
Atlantic Ocean ◽  
Regional Climate Model ◽  
Southern Africa ◽  
General Circulation ◽  
Climate Model ◽  
Rainfall Variability ◽  
Regional Climate ◽  
Model Experiments ◽  
Southern Atlantic Ocean ◽  
Sst Anomalies

To date, a number of studies have focused on the influence of sea surface temperature (SST) on global and regional rainfall variability, with the majority of these focusing on certain ocean basins — eg, the Pacific, North Atlantic and Indian Ocean. In contrast, relatively less work has been done on the influence of the central South Atlantic, particularly in relation to rainfall over southern Africa. Previous work by the authors, using reanalysis data and general circulation model (GCM) experiments, has suggested that cold SST anomalies in the central southern Atlantic Ocean are linked to an increase in rainfall extremes across southern Africa. In this paper we present results from idealized regional climate model (RCM) experiments forced with both positive and negative SST anomalies in the southern Atlantic Ocean. These experiments reveal an unexpected response of rainfall over southern Africa. In particular, it was found that SST anomalies of opposite sign can cause similar rainfall responses in the model experiments, with isolated increases in rainfall over central southern Africa as well as a large region of drying over the Mozambique Channel. The purpose of this paper is to highlight this finding and explore explanations for the behaviour of the climate model. It is suggested that the observed changes in rainfall might result from the redistribution of energy (associated with upper-level changes to Rossby waves) or, of more concern, model error, and therefore the paper concludes that the results of idealized regional climate models forced with SST anomalies should be viewed cautiously.

Downscaling large-scale climate variability using a regional climate model: the case of ENSO over Southern Africa

2012 ◽  
Vol 40 (5-6) ◽  
pp. 1141-1168 ◽  
Author(s):  
Damien Boulard ◽  
Benjamin Pohl ◽  
Julien Crétat ◽  
Nicolas Vigaud ◽  
Thanh Pham-Xuan
Keyword(s):  
Climate Variability ◽  
Regional Climate Model ◽  
Southern Africa ◽  
Large Scale ◽  
Climate Model ◽  
Regional Climate

Qinghai-Xizang (Tibetan) Plateau climate simulation using the regional climate model RegCM3

2013 ◽  
Vol 57 (3) ◽  
pp. 173-186 ◽  
Author(s):  
X Wang ◽  
M Yang ◽  
G Wan ◽  
X Chen ◽  
G Pang
Keyword(s):  
Tibetan Plateau ◽  
Regional Climate Model ◽  
Climate Model ◽  
Regional Climate ◽  
Climate Simulation

Evaluation of net shortwave radiation over China with a regional climate model

2020 ◽  
Vol 80 (2) ◽  
pp. 147-163
Author(s):  
X Liu ◽  
Y Kang ◽  
Q Liu ◽  
Z Guo ◽  
Y Chen ◽  
...  
Keyword(s):  
Regional Climate Model ◽  
Climate Model ◽  
Regional Climate ◽  
Radiant Energy ◽  
Energy System ◽  
Radiation Budget ◽  
Shortwave Radiation ◽  
Monsoon Region ◽  
Clear Sky ◽  
Sky Conditions

The regional climate model RegCM version 4.6, developed by the European Centre for Medium-Range Weather Forecasts Reanalysis, was used to simulate the radiation budget over China. Clouds and the Earth’s Radiant Energy System (CERES) satellite data were utilized to evaluate the simulation results based on 4 radiative components: net shortwave (NSW) radiation at the surface of the earth and top of the atmosphere (TOA) under all-sky and clear-sky conditions. The performance of the model for low-value areas of NSW was superior to that for high-value areas. NSW at the surface and TOA under all-sky conditions was significantly underestimated; the spatial distribution of the bias was negative in the north and positive in the south, bounded by 25°N for the annual and seasonal averaged difference maps. Compared with the all-sky condition, the simulation effect under clear-sky conditions was significantly better, which indicates that the cloud fraction is the key factor affecting the accuracy of the simulation. In particular, the bias of the TOA NSW under the clear-sky condition was <±10 W m-2 in the eastern areas. The performance of the model was better over the eastern monsoon region in winter and autumn for surface NSW under clear-sky conditions, which may be related to different levels of air pollution during each season. Among the 3 areas, the regional average biases overall were largest (negative) over the Qinghai-Tibet alpine region and smallest over the eastern monsoon region.

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