کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8864748 | 1620478 | 2018 | 50 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
What model resolution is required in climatological downscaling over complex terrain?
ترجمه فارسی عنوان
چه رزولوشن مدل مورد نیاز برای کاهش زمین شناسی زمین شناسی در زمین های پیچیده است؟
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
علم هواشناسی
چکیده انگلیسی
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 1Â 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 3Â km horizontal resolution was satisfactory, with significant improvement over the 9Â km downscaling simulation. The total yearly precipitation from WRF's 1Â km and 3Â km domains exhibited <Â 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 3Â 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 3Â km resolution is sufficient for the downscaling, especially that it would allow more years and scenarios to be investigated compared to the higher 1Â km resolution at the same computational effort. In addition, the results provide a quantitative measure of the potential errors for various hydrometeorological variables.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Atmospheric Research - Volume 203, 1 May 2018, Pages 68-82
Journal: Atmospheric Research - Volume 203, 1 May 2018, Pages 68-82
نویسندگان
Renalda El-Samra, Elie Bou-Zeid, Mutasem El-Fadel,