TY - JOUR
T1 - What model resolution is required in climatological downscaling over complex terrain?
AU - El-Samra, Renalda
AU - Bou-Zeid, Elie
AU - El-Fadel, Mutasem
N1 - Funding Information:
The authors thank the United States Agency for International Development for providing support for this work through the USAID-NSF PEER initiative [Grant Number –AID-OAA-A_I1_00012 ] in conjunction with support from the US National Science Foundation under a supplement to grant [# CBET-1058027 ]. NCAR provided the supercomputing resources through project P36861020. We would also like to thank Dr. Dan Li for his technical support, and LARI, AREC, Dr. R. Al Khodari at LNMS, Dr. M. Traboulsi at the Lebanese University, and Dr. S. Katafago at the Litani Water Authority for their help in data acquisition.
Funding Information:
The authors thank the United States Agency for International Development for providing support for this work through the USAID-NSF PEER initiative [Grant Number –AID-OAA-A_I1_00012] in conjunction with support from the US National Science Foundation under a supplement to grant [# CBET-1058027]. NCAR provided the supercomputing resources through project P36861020. We would also like to thank Dr. Dan Li for his technical support, and LARI, AREC, Dr. R. Al Khodari at LNMS, Dr. M. Traboulsi at the Lebanese University, and Dr. S. Katafago at the Litani Water Authority for their help in data acquisition.
Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2018/5/1
Y1 - 2018/5/1
N2 - This study presents results from the Weather Research and Forecasting (WRF) model applied for climatological downscaling simulations over highly complex terrain along the Eastern Mediterranean. We sequentially downscale general circulation model results, for a mild and wet year (2003) and a hot and dry year (2010), to three local horizontal resolutions of 9, 3 and 1 km. Simulated near-surface hydrometeorological variables are compared at different time scales against data from an observational network over the study area comprising rain gauges, anemometers, and thermometers. The overall performance of WRF at 1 and 3 km horizontal resolution was satisfactory, with significant improvement over the 9 km downscaling simulation. The total yearly precipitation from WRF's 1 km and 3 km domains exhibited < 10% bias with respect to observational data. The errors in minimum and maximum temperatures were reduced by the downscaling, along with a high-quality delineation of temperature variability and extremes for both the 1 and 3 km resolution runs. Wind speeds, on the other hand, are generally overestimated for all model resolutions, in comparison with observational data, particularly on the coast (up to 50%) compared to inland stations (up to 40%). The findings therefore indicate that a 3 km resolution is sufficient for the downscaling, especially that it would allow more years and scenarios to be investigated compared to the higher 1 km resolution at the same computational effort. In addition, the results provide a quantitative measure of the potential errors for various hydrometeorological variables.
AB - This study presents results from the Weather Research and Forecasting (WRF) model applied for climatological downscaling simulations over highly complex terrain along the Eastern Mediterranean. We sequentially downscale general circulation model results, for a mild and wet year (2003) and a hot and dry year (2010), to three local horizontal resolutions of 9, 3 and 1 km. Simulated near-surface hydrometeorological variables are compared at different time scales against data from an observational network over the study area comprising rain gauges, anemometers, and thermometers. The overall performance of WRF at 1 and 3 km horizontal resolution was satisfactory, with significant improvement over the 9 km downscaling simulation. The total yearly precipitation from WRF's 1 km and 3 km domains exhibited < 10% bias with respect to observational data. The errors in minimum and maximum temperatures were reduced by the downscaling, along with a high-quality delineation of temperature variability and extremes for both the 1 and 3 km resolution runs. Wind speeds, on the other hand, are generally overestimated for all model resolutions, in comparison with observational data, particularly on the coast (up to 50%) compared to inland stations (up to 40%). The findings therefore indicate that a 3 km resolution is sufficient for the downscaling, especially that it would allow more years and scenarios to be investigated compared to the higher 1 km resolution at the same computational effort. In addition, the results provide a quantitative measure of the potential errors for various hydrometeorological variables.
KW - High resolution dynamical downscaling
KW - Mesoscale modeling over complex terrain
KW - Regional climate model
KW - Weather research and forecasting model
UR - http://www.scopus.com/inward/record.url?scp=85038210025&partnerID=8YFLogxK
U2 - 10.1016/j.atmosres.2017.11.030
DO - 10.1016/j.atmosres.2017.11.030
M3 - Article
AN - SCOPUS:85038210025
SN - 0169-8095
VL - 203
SP - 68
EP - 82
JO - Atmospheric Research
JF - Atmospheric Research
ER -