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Data and grids used for modeling LST change due to hypothetical afforestation using the energy balance model and the IBM theory

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DataCite Commons2022-06-21 更新2024-07-29 收录
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5 × 5 km grids across the entire study area and sampled those including NF, CR, GR, and PF that have not changed from 2000 to 2010 were created.To identify proper grids representing the conversions from no change NF, CR or GR to the hypothetical PF, we then selected them based on the 1km land cover data following the rule: the cover of PF ≥ 5% and the cover of NF or open land (CR or GR) ≥ 80%. Within each selected grid, we adopted a window searching method (Zhao and Jackson, 2014) to identify the hypothetical changes by pairing adjacent pixels of PF and other types (NF, CR, and GR). <br> To assess the impacts of hypothetical afforestation on the local climatic and biophysical parameters, we calculated the multi-year mean values of LST, albedo, air temperature, and downward longwave and shortwave fluxes in the selected 5km grids. <br> The total change in the modeled surface temperature due to afforestation can be separated into three sections, including the changes in the energy redistribution factor, radiative forcing, and soil heat flux (Bright et al., 2017):

本研究构建了覆盖全研究区的5千米×5千米格网,并选取其中2000至2010年间未发生土地覆盖变化,且包含自然植被(Natural Vegetation, NF)、耕地(Cropland, CR)、草地(Grassland, GR)与人工林(Planted Forest, PF)的格网。为筛选出能够代表从无变化的自然植被、耕地或草地向潜在人工林转化的格网,本研究基于1千米分辨率土地覆盖数据,按照以下规则完成选取:人工林覆盖占比≥5%,且自然植被或开放用地(耕地或草地)覆盖占比≥80%。在每个选中的格网内,本研究采用窗口搜索法(Zhao与Jackson, 2014),通过配对人工林与其他类型(自然植被、耕地、草地)的相邻像元,识别潜在的土地覆盖转化情景。 为评估潜在人工造林对局地气候与生物物理参数的影响,本研究计算了选中的5千米格网内地表温度(Land Surface Temperature, LST)、反照率、气温以及下行长波与短波辐射通量的多年平均值。 由人工造林引发的模拟地表温度总变化可划分为三个组分,分别为能量再分配因子变化、辐射强迫变化以及土壤热通量变化(Bright等, 2017):

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2022-06-21
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