Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2017.09.021 |
Spatial verification approaches as a tool to evaluate the performance of high resolution precipitation forecasts | |
Gofa, F.1; Boucouvala, D.1; Louka, P.2; Flocas, H. A.3 | |
2018-08-01 | |
发表期刊 | ATMOSPHERIC RESEARCH
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ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2018 |
卷号 | 208页码:78-87 |
文章类型 | Article;Proceedings Paper |
语种 | 英语 |
国家 | Greece |
英文摘要 | The spatial resolution of Numerical Weather Prediction (NWP) models has increased significantly in recent years. While high-resolution models are able to produce more detailed precipitation structures, their true benefit lies in more realistic statistics rather than the information provided for a specific grid point. Unfortunately, NWP model verification using traditional grid-point-by-grid-point methods has not managed to keep pace due to the limited amount of point observations available in comparable resolution. Spatial verification methods represent a possible solution since they reward closeness or resemblance by relaxing the requirement for exact matches between the forecast and observations. An intense convective event in the Mediterranean region is used as a test case to analyze the forecasting performance of the Consortium for Small-scale Modeling model (COSMO) at two different resolutions. Satellite estimates of precipitation are used as ground truth. The precipitation forecasts are assessed using various spatial methods and averaging techniques, each of which provides distinctly useful information on model performance. The results from this particular test case indicate that a neighbourhood verification framework as well as the use of the Structure, Amplitude and Location (SAL) index, which belongs to the object-based methods, can identify the scales and precipitation thresholds at which the fine resolution configuration (COSMO-GR3) provides more accurate forecasts than the coarser resolution configuration (COSMO-GR7) and is therefore worth the additional computational burden. Additional insight is gained by comparing the results of various spatial methods with traditional verification metrics based on point observations. Finally, it is demonstrated that the interpolation method used in the adaptation of data at various scales can, in some cases, influence verification results as much as model resolution. |
英文关键词 | Verification, spatial methods NWP model evaluation H-SAF precipitation estimation COSMO-GR model Mediterranean convective event |
领域 | 地球科学 |
收录类别 | SCI-E ; ISTP |
WOS记录号 | WOS:000433650500005 |
WOS关键词 | WEATHER PREDICTION ; MODEL ; PRODUCTS ; SKILL ; SCORE ; SAF |
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/38554 |
专题 | 地球科学 |
作者单位 | 1.Hellen Natl Meteorol Serv, GR-16777 Athens, Greece; 2.Hellen Air Force Acad, Dept Math & Phys, Athens, Greece; 3.Univ Athens, Dept Phys, Div Environm Phys & Meteorol, Athens, Greece |
推荐引用方式 GB/T 7714 | Gofa, F.,Boucouvala, D.,Louka, P.,et al. Spatial verification approaches as a tool to evaluate the performance of high resolution precipitation forecasts[J]. ATMOSPHERIC RESEARCH,2018,208:78-87. |
APA | Gofa, F.,Boucouvala, D.,Louka, P.,&Flocas, H. A..(2018).Spatial verification approaches as a tool to evaluate the performance of high resolution precipitation forecasts.ATMOSPHERIC RESEARCH,208,78-87. |
MLA | Gofa, F.,et al."Spatial verification approaches as a tool to evaluate the performance of high resolution precipitation forecasts".ATMOSPHERIC RESEARCH 208(2018):78-87. |
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