Comparison of precipitation parameterizations in Regional Climate Model (RegCM5): a case study of the Upper Blue Nile Basin (UBNB)

Abstract. Accurate simulation of precipitation over complex terrains such as the Upper Blue Nile Basin (UBNB) is essential for water resource management and climate impact assessments. The UBNB is characterized by complex terrain and convective precipitation systems that challenge the fine-scale climate simulation processes. This research aims to investigate the best precipitation parameterizations in the Regional Climate Model System (RegCM5) simulating different convective and large-scale schemes over the UBNB domain with 10 km resolution. The RegCM5 is driven by the fifth-generation atmospheric reanalysis (ERA5) for the period of (2000–2009) using the hydrostatic dynamical core. The total precipitation simulations of the different calibration scenarios are assessed to select the optimal RegCM5 configuration over the UBNB. Results show that the model succeeds to capture the dominant spatiotemporal pattern of the precipitation, and the Emanuel scheme coupled with Nogherotto-Tompkins (NoTo) reduces the dominant wet bias in the precipitation simulation. The model highlights challenges in reproducing the UBNB's precipitation variability with a moderate to relatively good correlation of precipitation patterns from 0.46 to 0.77, where deficiency in capturing the large-scale circulations, especially the low-level circulations. The research recommended to focus on dynamics advancement and exploring parameterization schemes that enhance the precipitation representation, such as the Planetary Boundary Layer (PBL) in Future.

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Publication Details

Journal
Geoscientific model development
Published
2025-12-09
DOI
https://doi.org/10.5194/gmd-18-9791-2025
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00

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article

Comparison of precipitation parameterizations in Regional Climate Model (RegCM5): a case study of the Upper Blue Nile Basin (UBNB)

Doaa Amin, Ashraf M. Elmoustafa, Eatemad Keshta, Mohamed A. Gad
Geoscientific model development
Climate variability and models
article

Comparison of precipitation parameterizations in Regional Climate Model (RegCM5): a case study of the Upper Blue Nile Basin (UBNB)

Doaa Amin, Ashraf M. Elmoustafa, Eatemad Keshta, Mohamed A. Gad
article en

Abstract

Abstract. Accurate simulation of precipitation over complex terrains such as the Upper Blue Nile Basin (UBNB) is essential for water resource management and climate impact assessments. The UBNB is characterized by complex terrain and convective precipitation systems that challenge the fine-scale climate simulation processes. This research aims to investigate the best precipitation parameterizations in the Regional Climate Model System (RegCM5) simulating different convective and large-scale schemes over the UBNB domain with 10 km resolution. The RegCM5 is driven by the fifth-generation atmospheric reanalysis (ERA5) for the period of (2000–2009) using the hydrostatic dynamical core. The total precipitation simulations of the different calibration scenarios are assessed to select the optimal RegCM5 configuration over the UBNB. Results show that the model succeeds to capture the dominant spatiotemporal pattern of the precipitation, and the Emanuel scheme coupled with Nogherotto-Tompkins (NoTo) reduces the dominant wet bias in the precipitation simulation. The model highlights challenges in reproducing the UBNB's precipitation variability with a moderate to relatively good correlation of precipitation patterns from 0.46 to 0.77, where deficiency in capturing the large-scale circulations, especially the low-level circulations. The research recommended to focus on dynamics advancement and exploring parameterization schemes that enhance the precipitation representation, such as the Planetary Boundary Layer (PBL) in Future.

Geoscientific model developmentVol. 18(23)
Ain Shams University (EG), Ministry of Water Resources and Irrigation (EG)
Magee-Womens Research Institute, Science and Technology Development Fund, Ministry of Water Resources
Openalex Percentile: Top 63%
Climate variability and models
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