English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Customized framework of the WRF model for regional climate simulation over the Eastern NILE basin

Abdelwares, M., Haggag, M., Wagdy, A., & Lelieveld, J. (2018). Customized framework of the WRF model for regional climate simulation over the Eastern NILE basin. Theoretical and Applied Climatology, 134(3-4), 1135-1151. doi:10.1007/s00704-017-2331-2.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Abdelwares, Mohamed1, Author
Haggag, Mohammed1, Author
Wagdy, Ahmad1, Author
Lelieveld, Jos2, Author           
Affiliations:
1external, ou_persistent22              
2Atmospheric Chemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826285              

Content

show
hide
Free keywords: -
 Abstract: Different configurations of the Weather and Research Forecasting (WRF-ARW) regional climate model, centered over the Eastern Nile Basin, have been investigated. Extensive sensitivity analyses were carried out to test the model performance in simulating precipitation and surface air temperature, focusing on the horizontal extent of the simulation domain, the mesh size and the parameterizations of the boundary layer, radiation, cloud microphysics, and convection. A simulation period of 2 years (1998–1999) was used to assess the model performance during the rainy season (June–September) and the dry season (December–March). Three sets of numerical experiments were conducted. The first tested the effects of changing the horizontal extent of the simulation domain; three domains have been examined to investigate, e.g., the effect of including a larger part of the Indian Ocean, for which no significant impact was found. The second set of experiments tested the sensitivity of WRF to the horizontal mesh size (about 16, 12, and 10 km). It was found that increased resolution results in a more accurate simulation of precipitation and surface temperature. The third set of experiments was designed to select the optimal combination of physics parameterizations. All simulations were forced by ERA-Interim reanalysis data to provide initial and boundary conditions, including sea surface temperature, and the Noah land surface model (NPAH) was used to simulate land surface processes. To rate the model performance, we used a range of statistical metrics, summarized with a scoring technique to obtain a single index that ranks different alternatives. The simulated precipitation was found to be much more sensitive to the choice of physics parameterization compared to the surface air temperature. Precipitation was most sensitive to changing the cumulus and the planetary boundary layer schemes, and least sensitive to changing the microphysics scheme. Modifying the long-wave radiation scheme led to more significant changes compared to the short-wave radiation scheme.

Details

show
hide
Language(s): eng - English
 Dates: 2018
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000448861400028
DOI: 10.1007/s00704-017-2331-2
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Theoretical and Applied Climatology
  Other : Theor. Appl. Climatol.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Wien : Springer
Pages: - Volume / Issue: 134 (3-4) Sequence Number: - Start / End Page: 1135 - 1151 Identifier: ISSN: 0177-798X
CoNE: https://pure.mpg.de/cone/journals/resource/954925487789