Cargando…
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...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358376/ https://www.ncbi.nlm.nih.gov/pubmed/32685636 http://dx.doi.org/10.1016/j.dib.2020.105987 |
_version_ | 1783558840208326656 |
---|---|
author | Eltahan, Muhammed Alahmadi, Sabah Moharm, Karim Magooda, Mohammed |
author_facet | Eltahan, Muhammed Alahmadi, Sabah Moharm, Karim Magooda, Mohammed |
author_sort | Eltahan, Muhammed |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7358376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-73583762020-07-17 Ten ensembles with hourly high spatial resolution datasets for severe precipitation events in Egypt Eltahan, Muhammed Alahmadi, Sabah Moharm, Karim Magooda, Mohammed Data Brief Earth and Planetary Science 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. Elsevier 2020-07-05 /pmc/articles/PMC7358376/ /pubmed/32685636 http://dx.doi.org/10.1016/j.dib.2020.105987 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Earth and Planetary Science Eltahan, Muhammed Alahmadi, Sabah Moharm, Karim Magooda, Mohammed Ten ensembles with hourly high spatial resolution datasets for severe precipitation events in Egypt |
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 | Earth and Planetary Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358376/ https://www.ncbi.nlm.nih.gov/pubmed/32685636 http://dx.doi.org/10.1016/j.dib.2020.105987 |
work_keys_str_mv | AT eltahanmuhammed tenensembleswithhourlyhighspatialresolutiondatasetsforsevereprecipitationeventsinegypt AT alahmadisabah tenensembleswithhourlyhighspatialresolutiondatasetsforsevereprecipitationeventsinegypt AT moharmkarim tenensembleswithhourlyhighspatialresolutiondatasetsforsevereprecipitationeventsinegypt AT magoodamohammed tenensembleswithhourlyhighspatialresolutiondatasetsforsevereprecipitationeventsinegypt |