WRF Simulations of Extreme Rainfall over Uganda’s Lake Victoria Basin: Sensitivity to Parameterization, Model Resolution and Domain Size

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ISSN Print: 2327-4336
ISSN Online: 2327-4344
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"WRF Simulations of Extreme Rainfall over Uganda’s Lake Victoria Basin: Sensitivity to Parameterization, Model Resolution and Domain Size"
written by Ronald Opio, Geoffrey Sabiiti, Alex Nimusiima, Isaac Mugume, Julianne Sansa-Otim,
published by Journal of Geoscience and Environment Protection, Vol.8 No.4, 2020

has been cited by the following article(s):

[1]	Analysis of Machine Learning Algorithms for Prediction of Short-term Rainfall Amounts Using Uganda's Lake Victoria Basin Weather Dataset.
	IEEE Access, 2024

[2]	Implications of WRF model resolutions on resolving rainfall variability with topography over East Africa
	Frontiers in …, 2024

[3]	Assessing the performance of the WRF model cumulus parameterization schemes for the simulation of five heavy rainfall events over the Pol-Dokhtar, Iran during …
	Natural Hazards, 2022

[4]	Evaluation of the WRF Model to Simulate a High-Intensity Rainfall Event over Kampala, Uganda
	2021

[5]	Examining the Impact of Bias Correction on the Prediction Skill of Regional Climate Projections
	2020

[1]	Implications of WRF model resolutions on resolving rainfall variability with topography over East Africa Frontiers in Climate, 2024 DOI:10.3389/fclim.2024.1311088

[2]	Implications of WRF model resolutions on resolving rainfall variability with topography over East Africa Frontiers in Climate, 2024 DOI:10.3389/fclim.2024.1311088

[3]	Analysis of Machine Learning Algorithms for Prediction of Short-Term Rainfall Amounts Using Uganda’s Lake Victoria Basin Weather Dataset IEEE Access, 2024 DOI:10.1109/ACCESS.2024.3396695

[4]	Evaluation of the WRF Model to Simulate a High-Intensity Rainfall Event over Kampala, Uganda Water, 2021 DOI:10.3390/w13060873

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