Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.5086 |
WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas | |
Fick, Stephen E.1; Hijmans, Robert J.2 | |
2017-10-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY |
ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2017 |
卷号 | 37期号:12 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | We created a new dataset of spatially interpolated monthly climate data for global land areas at a very high spatial resolution (approximately 1km(2)). We included monthly temperature (minimum, maximum and average), precipitation, solar radiation, vapour pressure and wind speed, aggregated across a target temporal range of 1970-2000, using data from between 9000 and 60000 weather stations. Weather station data were interpolated using thin-plate splines with covariates including elevation, distance to the coast and three satellite-derived covariates: maximum and minimum land surface temperature as well as cloud cover, obtained with the MODIS satellite platform. Interpolation was done for 23 regions of varying size depending on station density. Satellite data improved prediction accuracy for temperature variables 5-15% (0.07-0.17 degrees C), particularly for areas with a low station density, although prediction error remained high in such regions for all climate variables. Contributions of satellite covariates were mostly negligible for the other variables, although their importance varied by region. In contrast to the common approach to use a single model formulation for the entire world, we constructed the final product by selecting the best performing model for each region and variable. Global cross-validation correlations were0.99 for temperature and humidity, 0.86 for precipitation and 0.76 for wind speed. The fact that most of our climate surface estimates were only marginally improved by use of satellite covariates highlights the importance having a dense, high-quality network of climate station data. |
英文关键词 | interpolation climate surfaces WorldClim MODIS land surface temperature cloud cover solar radiation wind speed vapour pressure |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000412095400006 |
WOS关键词 | DAILY AIR TEMPERATURES ; MODIS CLOUD MASK ; INTERPOLATING MAXIMUM ; TIME-SERIES ; PART I ; VARIABLES ; PRODUCTS ; VARIABILITY ; VALIDATION ; STRATEGIES |
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/36645 |
专题 | 气候变化 |
作者单位 | 1.Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA; 2.Univ Calif Davis, Dept Environm Sci & Policy, Davis, CA 95616 USA |
推荐引用方式 GB/T 7714 | Fick, Stephen E.,Hijmans, Robert J.. WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2017,37(12). |
APA | Fick, Stephen E.,&Hijmans, Robert J..(2017).WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas.INTERNATIONAL JOURNAL OF CLIMATOLOGY,37(12). |
MLA | Fick, Stephen E.,et al."WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas".INTERNATIONAL JOURNAL OF CLIMATOLOGY 37.12(2017). |
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