Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2018.05.026 |
Optimization of high resolution COSMO model performance over Switzerland and Northern Italy | |
Voudouri, A.1; Khain, P.2; Carmona, I2; Avgoustoglou, E.1; Kaufmann, P.3; Grazzini, F.4; Bettems, J. M.3 | |
2018-11-15 | |
发表期刊 | ATMOSPHERIC RESEARCH
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ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2018 |
卷号 | 213页码:70-85 |
文章类型 | Article |
语种 | 英语 |
国家 | Greece; Israel; Switzerland; Italy |
英文摘要 | In our previous work, a practicable objective three-parameter multivariate calibration method build on a quadratic meta-model was introduced leading to the optimization of COSMO model. The process had been applied initially for a regional climate model (RCM) providing a considerable alternative to the, more standard, expert tuning techniques. Based on the successful implementation of this method, the calibration of the model on the operational level is undertaken in the present work. A larger number of parameters are selected in order to optimize the model performance for a high horizontal resolution (similar to 2 km) over the domain of Switzerland and Northern Italy as well an extensive period of one year. The influence of the variables is associated to daily forecasts such as daily minimum and maximum 2 m temperature as well as 24 h accumulated precipitation. The increased computational demands and the substantial complexities regarding the application of a meta-model for a large parameter number are successfully tackled. The forecast skill of the 2-m temperature was improved by lowering the temperature bias by 0.2 degrees C. Contradictory, a small decrease in forecast skill for precipitation and dew point was observed. There is practically no change in forecasted wind speed when using the optimum set of parameters as none of the parameters tested is directly affecting model's ability to forecast wind. Currently, the results indicate a relatively low benefit with respect to the computational cost of the method as it remains expensive for a regular usage of the calibration procedure. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000442169800007 |
WOS关键词 | NUMERICAL WEATHER PREDICTION ; PARAMETER OPTIMIZATION |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/38156 |
专题 | 地球科学 |
作者单位 | 1.Hellen Natl Meteorol Serv, Ellinikon 16777, Greece; 2.Israel Meteorol Serv, IL-5025001 Bet Dagan, Israel; 3.Fed Off Meteorol & Climatol, Zurich, Switzerland; 4.ARPA SIMC, Bologna, Italy |
推荐引用方式 GB/T 7714 | Voudouri, A.,Khain, P.,Carmona, I,et al. Optimization of high resolution COSMO model performance over Switzerland and Northern Italy[J]. ATMOSPHERIC RESEARCH,2018,213:70-85. |
APA | Voudouri, A..,Khain, P..,Carmona, I.,Avgoustoglou, E..,Kaufmann, P..,...&Bettems, J. M..(2018).Optimization of high resolution COSMO model performance over Switzerland and Northern Italy.ATMOSPHERIC RESEARCH,213,70-85. |
MLA | Voudouri, A.,et al."Optimization of high resolution COSMO model performance over Switzerland and Northern Italy".ATMOSPHERIC RESEARCH 213(2018):70-85. |
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