中亚三套历史再分析气候数据集（1979-2014）
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中亚地区地形复杂，站点稀少且分布不均匀，尤其在山区高海拔地区缺乏气象观测资料。三套气候数据集来自于最近开发的全球再分析数据集。MERRA使用最新版本的全球地球观测系统（GEOS-5），该系统可以吸收卫星辐射和常规观测结果。ERA-Interim是一个全球陆地表面再分析数据集，以T255（80公里）水平分辨率生成，产品更新距实时大约1个月的延迟。CFSR是最新的全球再分析气候数据集之一，已广泛应用于气候变化研究。这些数据集具有不同的空间分辨率，并且涵盖1979年-2014年。大气再分析资料是在多种数据驱动下，结合严格质量控制的观测数据，利用资料同化技术和数值预报模式得到历史观测数据。近几年，新一代的历史再分析数据因其较高的空间分辨率而适用于降水空间异质性高、地形复杂的中亚区域的气候格局研究。 更多三套历史再分析数据精度验证及适用性可参考： 胡增运, 倪勇勇, 邵华, et al. CFSR、ERA-Interim和MERRA降水资料在中亚地区的适用性[J]. 干旱区地理, 2013, 36(4):700-708. 徐婷, 邵华, 张弛, et al. 近32a中亚地区气温时空格局分析[J]. 干旱区地理, 2015, 38(1):25-35. Hu Z , Zhang C , Hu Q , et al. Temperature Changes in Central Asia from 1979 to 2011 Based on Multiple Datasets*[J]. Journal of Climate, 2014, 27(3):1143-1167. 相关数据集已成功应用中亚生态领域研究，如朱士华, 艳燕, 邵华, et al. 1980—2014年中亚地区植被净初级生产力对气候和CO变化的响应[J]. 自然资源学报, 2017, 32(11):1844-1856.
Central Asia features complex terrain, with sparse and unevenly distributed meteorological stations, and a particular lack of observational data in high-altitude mountainous regions. Three climate datasets are derived from three recently developed global reanalysis products. MERRA adopts the latest version of the Global Earth Observing System (GEOS-5), which assimilates satellite radiance and conventional observational data. ERA-Interim is a global land surface reanalysis dataset generated at a horizontal resolution of T255 (80 km), with an update delay of approximately one month behind real-time. CFSR is one of the latest global reanalysis climate datasets, which has been widely applied in climate change research. These datasets have varying spatial resolutions and cover the period from 1979 to 2014. Atmospheric reanalysis datasets are historical observational products produced via data assimilation techniques and numerical weather prediction models, which integrate strictly quality-controlled observational data and are driven by multi-source data. In recent years, the new generation of historical reanalysis datasets, featuring high spatial resolution, have been increasingly used in studies on climate patterns in Central Asia, a region with high spatial heterogeneity of precipitation and complex terrain. For more details on the accuracy validation and applicability of these three historical reanalysis datasets, please refer to the following publications: 1. Hu Z Y, Ni Y Y, Shao H, et al. Applicability of CFSR, ERA-Interim and MERRA Precipitation Datasets in Central Asia[J]. Arid Land Geography, 2013, 36(4): 700-708. 2. Xu T, Shao H, Zhang C, et al. Spatiotemporal Pattern of Air Temperature in Central Asia Over the Past 32 Years[J]. Arid Land Geography, 2015, 38(1): 25-35. 3. Hu Z, Zhang C, Hu Q, et al. Temperature Changes in Central Asia from 1979 to 2011 Based on Multiple Datasets*[J]. Journal of Climate, 2014, 27(3): 1143-1167. These datasets have been successfully applied to ecological research in Central Asia. For example: Zhu S H, Yan Y, Shao H, et al. Responses of Vegetation Net Primary Productivity to Climate and CO Changes in Central Asia from 1980 to 2014[J]. Journal of Natural Resources, 2017, 32(11): 1844-1856.
