遇见数据集

Code_Lake_drought_Assessment

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Zenodo2025-03-10 更新2026-05-26 收录
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Lake drought: definition, global assessment, and hotspots. 1. 'Lake_area_1km2.xlsx' includes monthly lake area series from 1985 to 2018 for lakes with mean area > 1km2 (162413 lakes across the globe). The first column is lake ID from HydroLakes (https://www.hydrosheds.org/products/hydrolakes) and lake area data is from the GLEV dataset (https://zenodo.org/records/4646621).2. 'Lake_point.shp' includes 162413 lakes with other attributions from HydroLakes.3. 'Lake_drought_frequency_trend.xlsx' includes the MK trend results for all studied lakes.4. 'Lake_drought.m' indicates the MATLAB code for identifying lake droughts and calculating the trends.5. 'hotspot_regions.shp' indicates the hotspot region (Southern United States and Southeast Australia)6. 'hotspot_climate.xlsx' indicates the annual anomalies of climatic factors (temperature, precipitation, and VPD).

湖泊干旱:定义、全球评估与热点区域。 1. "Lake_area_1km2.xlsx"包含全球162413个平均面积大于1km²的湖泊1985至2018年的逐月湖面面积序列。该数据集第一列为来自水文湖泊数据库(HydroLakes,https://www.hydrosheds.org/products/hydrolakes)的湖泊ID,湖面面积数据来源于全球湖面高程数据集(GLEV,https://zenodo.org/records/4646621)。 2. "Lake_point.shp"包含来自水文湖泊数据库(HydroLakes)的162413个湖泊及其附属属性信息。 3. "Lake_drought_frequency_trend.xlsx"包含所有研究湖泊的曼-肯德尔(MK)趋势检验结果。 4. "Lake_drought.m"为用于识别湖泊干旱并计算趋势的MATLAB代码。 5. "hotspot_regions.shp"标注了热点区域:美国南部与澳大利亚东南部。 6. "hotspot_climate.xlsx"包含气候因子(气温、降水与水汽压亏缺(Vapor Pressure Deficit,VPD))的年距平数据。

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Zenodo
创建时间:
2024-11-04
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