30-m Resolution Bioclimatic Dataset of 1991-2020 Climate Normals for Hubei Province, the Yangtze River Middle Reaches
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Brief Introduction of the Dataset The dataset contains 19 30-m resolution average bioclimatic variables during 1991-2020 Climate Normals for Hubei Province (108°21′42″—116°07′50″ E, 29°01′53″—33°6′47″ N), the core region of the Yangtze River middle reaches. The dataset was constructed by statistically downscaling the Climatic Research Unit (CRU) 1-km monthly climate variables (1440 in total), cablirating with ground observation data with 82 weather stations and aggregating based on the defination of 19 bioclimatic variables. The downscaling of four 1-km Climatic Research Unit monthly climate variables including monthly maximum, mean, minimum temperature and precipitation was firstly achieved by random forest model with 30-m resolution terrain and spatial data. Then the interpolation-based geographical differential analysis (GDA) was applied to improve the accuracy of downscaled products based on ground observation data. Finally, the bioclimatic variables were aggregated based on their definitions and averaged for the 30 years. The Yangtze River middle reaches is abundant of forestry, agriculture, biodiversity resources that requires finer bioclimatic data for better understands of these aspects. This dataset will provide higher spatial accuracy, more information and applicability in finer regional studies in the Yangtze River middle reaches. Description of the 19 Bioclimatic Variables The dataset contains 19 geotiff files in total. File names and the corresponding full name of bioclimatic variables are described as follows: Bio1 Mean annual air temperatureBio2 Mean diurnal air temperature rangeBio3 IsothermalityBio4 Temperature seasonalityBio5 Mean daily maximum air temperature of the warmest monthBio6 Mean daily minimum air temperature of the coldest monthBio7 Annual range of air temperatureBio8 Mean daily mean air temperatures of the wettest quarterBio9 Mean daily mean air temperatures of the driest quarterBio10 Mean daily mean air temperatures of the warmest quarterBio11 Mean daily mean air temperatures of the coldest quarterBio12 Annual precipitation amountBio13 Precipitation amount of the wettest monthBio14 Precipitation amount of the driest monthBio15 Precipitation seasonalityBio16 Precipitation amount of the wettest quarterBio17 Precipitation amount of the driest quarterBio18 Precipitation amount of the warmest quarterBio19 Precipitation amount of the coldest quarter Others More information related to bioclimatic variables can be found on https://chelsa-climate.org/bioclim/
数据集简介 本数据集覆盖长江中游核心区域——湖北省（东经108°21′42″—116°07′50″，北纬29°01′53″—33°6′47″），包含1991-2020年气候基准期的19个30米分辨率平均生物气候变量。 本数据集的构建流程如下：首先对气候研究单元（Climatic Research Unit, CRU）发布的1千米分辨率月气候变量（共1440个，涵盖月最高气温、月平均气温、月最低气温与降水量），以30米分辨率的地形与空间数据为辅助变量，通过随机森林模型完成统计降尺度；随后结合82个气象站的地面观测数据，采用插值地理差分分析（GDA）方法优化降尺度产品的精度；最终依据19种生物气候变量的定义完成变量聚合，并对1991-2020年的逐年月数据取平均，得到最终的气候基准期平均产品。 长江中游地区林业、农业与生物多样性资源禀赋丰厚，亟需精细化的高空间分辨率生物气候数据以支撑相关领域的深入研究。本数据集具备更高的空间精度与信息丰富度，可更好地适配长江中游区域的精细化科研与应用场景。 19种生物气候变量说明 本数据集共包含19个GeoTIFF格式文件，各文件名与对应生物气候变量的全称对应关系如下： Bio1 年平均气温（Mean annual air temperature） Bio2 气温日较差均值（Mean diurnal air temperature range） Bio3 等温性（Isothermality） Bio4 气温季节变率（Temperature seasonality） Bio5 最热月日均最高气温（Mean daily maximum air temperature of the warmest month） Bio6 最冷月日均最低气温（Mean daily minimum air temperature of the coldest month） Bio7 气温年较差（Annual range of air temperature） Bio8 最湿季日均气温均值（Mean daily mean air temperatures of the wettest quarter） Bio9 最干季日均气温均值（Mean daily mean air temperatures of the driest quarter） Bio10 最热季日均气温均值（Mean daily mean air temperatures of the warmest quarter） Bio11 最冷季日均气温均值（Mean daily mean air temperatures of the coldest quarter） Bio12 年降水量（Annual precipitation amount） Bio13 最湿月降水量（Precipitation amount of the wettest month） Bio14 最干月降水量（Precipitation amount of the driest month） Bio15 降水季节变率（Precipitation seasonality） Bio16 最湿季降水量（Precipitation amount of the wettest quarter） Bio17 最干季降水量（Precipitation amount of the driest quarter） Bio18 最热季降水量（Precipitation amount of the warmest quarter） Bio19 最冷季降水量（Precipitation amount of the coldest quarter） 其他 更多生物气候变量相关信息可访问以下网址获取：https://chelsa-climate.org/bioclim/
