Publication Abstracts
Somses et al. 2020
Somses, S., M.-J.M. Bopape, T. Ndarana, , T. Matsui, E. Phaduli, A. Limbo, S. Maikhudumu, R. Maisha, and E. Rakate, 2020: Convection parametrization and multi-nesting dependence of a heavy rainfall event over Namibia with Weather Research and Forecasting (WRF) model. MDPI Climate, 8, no. 10, 112, doi:10.3390/cli8100112.
Namibia is considered as one of the countries that are most vulnerable to climate change due to its generally dry climate and the percentage of its population that rely on subsistence agriculture for their livelihoods. Early warning systems are an important aspect of adapting to climate change. Weather forecasting relies on the use of numerical weather prediction models and these need to be configured properly. In this study we investigate the effects of using multi-nests and a convection scheme on the simulation of a heavy rainfall event over the Northwestern region of Kunene, Namibia. The event which was associated with a cut-off low system, was short-lived and resulted in over 45 mm of rainfall in one hour. For the multi-nest, a 9 km grid length parent domain is nested within the Global Forecast System (GFS) simulations, which in turn forces a 3 km grid spacing child domain. A different set of simulations are produced using a single nest of 3 km grid spacing, nested directly inside the GFS data. The simulations are produced with the convection scheme switched on and off. The impact of a single versus multi nest is found to be small in general, with slight differences in the location of high rainfall intensity. Switching off the convection schemes results in high rainfall intensity and increased detail in the simulations, including when a grid spacing of 9 km is used. Using a grid spacing of 3 km with the convection scheme on, results in a loss of detail in the simulations as well as lower rainfall amounts. The study shows a need for different configurations to be tested before an optimum configuration can be selected for operational forecasting. We recommend further tests with different synoptic forcing to be conducted to identify a suitable configuration for Namibia.
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BibTeX Citation
@article{so00300e,
author={Somses, S. and Bopape, M.-J. M. and Ndarana, T. and Fridlind, A. and Matsui, T. and Phaduli, E. and Limbo, A. and Maikhudumu, S. and Maisha, R. and Rakate, E.},
title={Convection parametrization and multi-nesting dependence of a heavy rainfall event over Namibia with Weather Research and Forecasting (WRF) model},
year={2020},
journal={MDPI Climate},
volume={8},
number={10},
pages={112},
doi={10.3390/cli8100112},
}
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RIS Citation
TY - JOUR ID - so00300e AU - Somses, S. AU - Bopape, M.-J. M. AU - Ndarana, T. AU - Fridlind, A. AU - Matsui, T. AU - Phaduli, E. AU - Limbo, A. AU - Maikhudumu, S. AU - Maisha, R. AU - Rakate, E. PY - 2020 TI - Convection parametrization and multi-nesting dependence of a heavy rainfall event over Namibia with Weather Research and Forecasting (WRF) model JA - MDPI Climate VL - 8 IS - 10 SP - 112 DO - 10.3390/cli8100112 ER -
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