Ten ensembles with hourly high spatial resolution datasets for severe precipitation events in Egypt
In this article, we created a new dataset comprising 10 ensembles for severe rainfall simulations at a high spatial resolution (10 km grid spacing, 120 × 120 grid points) in Egypt using the Weather Research and Forecast model Version 3.8 (WRF 3.8). The vertical grid had over 41 levels, extending fro...
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Format: | Article |
Language: | English |
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Elsevier
2020-08-01
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Series: | Data in Brief |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340920308817 |
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author | Muhammed Eltahan Sabah Alahmadi Karim Moharm Mohammed Magooda |
author_facet | Muhammed Eltahan Sabah Alahmadi Karim Moharm Mohammed Magooda |
author_sort | Muhammed Eltahan |
collection | DOAJ |
description | In this article, we created a new dataset comprising 10 ensembles for severe rainfall simulations at a high spatial resolution (10 km grid spacing, 120 × 120 grid points) in Egypt using the Weather Research and Forecast model Version 3.8 (WRF 3.8). The vertical grid had over 41 levels, extending from the surface to 10 hPa. The defined domain, a Lambert conformal conic projection, started from 24°E to 36°E. The ensembles were generated using 10 different microphysics schemes within the WRF 3.8. The severe rainfall event occurred between October 26 and 29, 2016. Final analysis data from National Center for Environmental Predictions were used for the initial and boundary conditions every 6 h at a spatial resolution of 1° × 1°. The geographical static input data, such as land use, albedo, and terrain height, were interpolated and prepared using a geogrid program in the WRF preprocessing system. This dataset is the first of its kind. It is addressing a need for this type of high resolution data over Egypt using physically- based numerical weather prediction models. |
first_indexed | 2024-04-12T09:18:35Z |
format | Article |
id | doaj.art-b000221ca86e4a229d2d6cce6e849a5c |
institution | Directory Open Access Journal |
issn | 2352-3409 |
language | English |
last_indexed | 2024-04-12T09:18:35Z |
publishDate | 2020-08-01 |
publisher | Elsevier |
record_format | Article |
series | Data in Brief |
spelling | doaj.art-b000221ca86e4a229d2d6cce6e849a5c2022-12-22T03:38:44ZengElsevierData in Brief2352-34092020-08-0131105987Ten ensembles with hourly high spatial resolution datasets for severe precipitation events in EgyptMuhammed Eltahan0Sabah Alahmadi1Karim Moharm2Mohammed Magooda3Aeronautical and Aerospace Engineering Department, Cairo University, Cairo 12613, Egypt; Now at Institute of Bio- and Geosciences (IBG-3: Agrosphere), Forschungszentrum Jülich, Jülich 52428, Germany; Now at Centre for High-Performance Scientific Computing in Terrestrial Systems, Geoverbund ABC/J, Jülich 52428, Germany; Corresponding author at: Aeronautical and Aerospace Engineering Department, Cairo University, Cairo 12613, Egypt.National Satellite Technology Center, Space and Aeronautics Research Institute, King Abdulaziz City for Science and Technology, Riyadh 11442, Saudi ArabiaElectrical Engineering Department, Alexandria University, Alexandria 21544, EgyptAeronautical and Aerospace Engineering Department, Cairo University, Cairo 12613, EgyptIn this article, we created a new dataset comprising 10 ensembles for severe rainfall simulations at a high spatial resolution (10 km grid spacing, 120 × 120 grid points) in Egypt using the Weather Research and Forecast model Version 3.8 (WRF 3.8). The vertical grid had over 41 levels, extending from the surface to 10 hPa. The defined domain, a Lambert conformal conic projection, started from 24°E to 36°E. The ensembles were generated using 10 different microphysics schemes within the WRF 3.8. The severe rainfall event occurred between October 26 and 29, 2016. Final analysis data from National Center for Environmental Predictions were used for the initial and boundary conditions every 6 h at a spatial resolution of 1° × 1°. The geographical static input data, such as land use, albedo, and terrain height, were interpolated and prepared using a geogrid program in the WRF preprocessing system. This dataset is the first of its kind. It is addressing a need for this type of high resolution data over Egypt using physically- based numerical weather prediction models.http://www.sciencedirect.com/science/article/pii/S2352340920308817High resolution meteorological datasetEgyptTemperatureWind speedPrecipitation |
spellingShingle | Muhammed Eltahan Sabah Alahmadi Karim Moharm Mohammed Magooda Ten ensembles with hourly high spatial resolution datasets for severe precipitation events in Egypt Data in Brief High resolution meteorological dataset Egypt Temperature Wind speed Precipitation |
title | Ten ensembles with hourly high spatial resolution datasets for severe precipitation events in Egypt |
title_full | Ten ensembles with hourly high spatial resolution datasets for severe precipitation events in Egypt |
title_fullStr | Ten ensembles with hourly high spatial resolution datasets for severe precipitation events in Egypt |
title_full_unstemmed | Ten ensembles with hourly high spatial resolution datasets for severe precipitation events in Egypt |
title_short | Ten ensembles with hourly high spatial resolution datasets for severe precipitation events in Egypt |
title_sort | ten ensembles with hourly high spatial resolution datasets for severe precipitation events in egypt |
topic | High resolution meteorological dataset Egypt Temperature Wind speed Precipitation |
url | http://www.sciencedirect.com/science/article/pii/S2352340920308817 |
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