کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6343150 | 1620509 | 2016 | 54 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
High resolution WRF ensemble forecasting for irrigation: Multi-variable evaluation
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
علم هواشناسی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: High resolution WRF ensemble forecasting for irrigation: Multi-variable evaluation High resolution WRF ensemble forecasting for irrigation: Multi-variable evaluation](/preview/png/6343150.png)
چکیده انگلیسی
An ensemble of meteorological simulations with the WRF model at convection-allowing resolution (2Â km) is analysed in a multi-variable evaluation framework over Europe. Besides temperature and precipitation, utilized variables are relative humidity, boundary layer height, shortwave radiation, wind speed, convective and large-scale precipitation in view of explaining some of the biases. Furthermore, the forecast skill of evapotranspiration and irrigation water need is ultimately assessed. It is found that the modelled temperature exhibits a small but significant negative bias during the cold period in the snow-covered northeast regions. Total precipitation exhibits positive bias during all seasons but autumn, peaking in the spring months. The varying physics configurations resulted in significant differences for the simulated minimum temperature, summer rainfall, relative humidity, solar radiation and planetary boundary layer height. The interaction of the temperature and moisture profiles with the different microphysics schemes, results in excess convective precipitation using MYJ/WSM6 compared to YSU/Thompson. With respect to evapotranspiration and irrigation need, the errors using the MYJ configuration were in opposite directions and eventually cancel out, producing overall smaller biases. WRF was able to dynamically downscale global forecast data into finer resolutions in space and time for hydro-meteorological applications such as the irrigation management. Its skill was sensitive to the geographical location and physical configuration, driven by the variable relative importance of evapotranspiration and rainfall.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Atmospheric Research - Volume 167, 1 January 2016, Pages 156-174
Journal: Atmospheric Research - Volume 167, 1 January 2016, Pages 156-174
نویسندگان
Ioannis Kioutsioukis, Alexander de Meij, Hermann Jakobs, Eleni Katragkou, Jean-Francois Vinuesa, Andreas Kazantzidis,