中国区域地面气象要素驱动数据集
收藏国家基础学科公共科学数据中心2024-03-05 收录
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https://www.nbsdc.cn/general/dataDetail?id=64ef842bbb16e0591d024f47&type=1
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资源简介:
中国区域地面气象要素驱动数据集,包括近地面气温、气压、比湿、全风速、地面向下短波辐射通量、地面向下长波辐射通量、地面降水率共7个要素。数据为NETCDF格式,时间分辨率为3小时,水平空间分辨率为0.1°。可为中国区陆面过程模拟提供驱动数据。
该数据集是以国际上现有的GLDAS资料、GEWEX-SRB辐射资料,以及TRMM降水资料为背景场,融合了中国气象局常规气象观测数据制作而成。原始资料来自于气象局观测数据、再分析资料和卫星遥感数据。已去除非物理范围的值,采用ANUSPLIN统计插值。
CMFD 不仅为中国区域的陆面模型提供一套更好的驱动数据,而且已经被应用到了更广泛的领域,包括气候模式验证、气候分区、作物播种调度等。CMFD 已经成为在中国陆面研究中使用广泛的数据集之一。
China Regional Land Surface Meteorological Forcing Dataset (CMFD) contains 7 key meteorological variables: near-surface air temperature, atmospheric pressure, specific humidity, total wind speed, surface downward shortwave radiation flux, surface downward longwave radiation flux, and surface precipitation rate. The data is stored in NETCDF format, with a temporal resolution of 3 hours and a horizontal spatial resolution of 0.1°, and can be used as forcing data for land surface process simulations over China.
This dataset was constructed by integrating routine meteorological observation data from the China Meteorological Administration, taking internationally available GLDAS, GEWEX-SRB radiation datasets, and TRMM precipitation datasets as background fields. The original data sources include meteorological station observations, reanalysis data, and satellite remote sensing data. Non-physically unrealistic values have been eliminated, and the ANUSPLIN statistical interpolation method has been adopted.
CMFD not only provides a high-quality forcing dataset for land surface models in China, but has also been applied to a wider range of research areas, including climate model validation, climate regionalization, crop sowing scheduling, and others. CMFD has become one of the most widely used datasets in land surface research in China.
提供机构:
清华大学
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是中国区域地面气象要素驱动数据,包含气温、气压、比湿、风速、辐射和降水等7个要素,时间分辨率为3小时,空间分辨率为0.1°,以NETCDF格式提供。它融合了国际再分析资料、卫星遥感数据和中国气象局观测数据,采用统计插值方法处理,适用于陆面过程模拟、气候验证和农业调度等研究,数据量达115.34GB,是中国陆面研究中广泛使用的驱动数据集。
以上内容由遇见数据集搜集并总结生成



