The 1km vegetation functional map of China is converted from the MICLCover land cover map (Ran Youhua et al., 2009; Ran et al., 2012) according to the climate rules for the conversion of land cover and vegetation functional map proposed by Bonan et al. (2002). MICLCover land cover map is a combination of China's 1:100000 land use data in 2000, vegetation types of China's vegetation atlas (1:1000000), China's 1:100000 glacier distribution map, China's 1:1000000 swamp wet map and the latest land cover data released by MODIS land cover products in 2001 (MOD12Q1), using IGBP land cover classification system. The evaluation shows that it may be the most accurate land cover map on the 1km scale in China
The climate data in China, developed by He Jie et al. (2010) with a spatial resolution of 0.1 degrees and a temporal resolution of 3 hours from 1981 to 2008, is the highest spatiotemporal resolution climate data currently available in China at the national scale. This data integrates Princeton land surface model driven data (Sheffield et al., 2006), GEWEX-SRB radiation data (Pinker et al., 2003), and TRMM 3B42 and APHRODITE precipitation data, as well as the observation data of 740 meteorological stations of the China Meteorological Administration.
According to the evaluation results of RanYouhua et al. This data can be used in relevant research such as land surface process models
China's land use data of 1:100000 in 2000, vegetation type of China's Vegetation Atlas (1:1000000), China's Glacier distribution map of 1:100000, China's wetland map of 1:1000000 and the latest land cover data released by MODIS land cover product (mod12q1) in 2001
Referring to the global vegetation functional classification system, according to the needs of the model, the land cover type and the vegetation functional type are considered together to determine the classification system of the data.
The evaluation shows that it may be the most accurate land cover map on 1km scale in China.
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CSTR:11738.11.ncdc.Westdc.2020.632
10.12072/ncdc.westdc.db3785.2023