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DOI | 10.1002/2016JD026417 |
The Impact of Satellite-Derived Land Surface Temperatures on Numerical Weather Prediction Analyses and Forecasts | |
Candy, B.1; Saunders, R. W.1; Ghent, D.2; Bulgin, C. E.3 | |
2017-09-27 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:18 |
文章类型 | Article |
语种 | 英语 |
国家 | England |
英文摘要 | Land surface temperature (LST) observations from a variety of satellite instruments operating in the infrared have been compared to estimates of surface temperature from the Met Office operational numerical weather prediction (NWP) model. The comparisons show that during the day the NWP model can underpredict the surface temperature by up to 10 K in certain regions such as the Sahel and southern Africa. By contrast at night the differences are generally smaller. Matchups have also been performed between satellite LSTs and observations from an in situ radiometer located in Southern England within a region of mixed land use. These matchups demonstrate good agreement at night and suggest that the satellite uncertainties in LST are less than 2 K. The Met Office surface analysis scheme has been adapted to utilize nighttime LST observations. Experiments using these analyses in an NWP model have shown a benefit to the resulting forecasts of near-surface air temperature, particularly over Africa. Plain Language Summary An accurate analysis of the state of the land surface, particularly the temperature and moisture content of the soil has been shown to improve forecasts from weather models. The temperature within the soil can be analysed using conventional observations from meteorological stations. However, the stations are not distributed uniformly across the earth's surface. In this work we investigate what happens if we use remote sensing measurements of surface temperature to estimate the soil conditions. The resulting soil conditions are then used to initialize a weather forecast model and we find that the air temperature forecasts are improved, especially over Africa. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000416388000015 |
WOS关键词 | DATA ASSIMILATION SYSTEM ; SOIL-MOISTURE ; MET OFFICE ; MODEL ; IMPLEMENTATION ; NETWORK ; EMISSIVITY ; HYDROLOGY ; JULES |
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/32675 |
专题 | 气候变化 |
作者单位 | 1.Met Off, Exeter, Devon, England; 2.Univ Leicester, Dept Phys & Astron, Leicester, Leics, England; 3.Univ Reading, Dept Meteorol, Reading, Berks, England |
推荐引用方式 GB/T 7714 | Candy, B.,Saunders, R. W.,Ghent, D.,et al. The Impact of Satellite-Derived Land Surface Temperatures on Numerical Weather Prediction Analyses and Forecasts[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(18). |
APA | Candy, B.,Saunders, R. W.,Ghent, D.,&Bulgin, C. E..(2017).The Impact of Satellite-Derived Land Surface Temperatures on Numerical Weather Prediction Analyses and Forecasts.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(18). |
MLA | Candy, B.,et al."The Impact of Satellite-Derived Land Surface Temperatures on Numerical Weather Prediction Analyses and Forecasts".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.18(2017). |
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