30-m Spatial Resolution Bioclimatic Dataset of 1991-2020 Climate Normals for Hubei Province, the Yangtze River Middle Reaches

Brief Introduction of the Dataset

This bioclimatic dataset is the product of research article "Mapping 30-m Resolution Bioclimatic Variables During 1991-2020 Climate Normals for Hubei Province, the Yangtze River Middle Reaches." published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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:

Bio01 Mean annual air temperature (℃)
Bio02 Mean diurnal air temperature range (℃)
Bio03 Isothermality (%)
Bio04 Temperature seasonality (℃)
Bio05 Mean daily maximum air temperature of the warmest month (℃)
Bio06 Mean daily minimum air temperature of the coldest month (℃)
Bio07 Annual range of air temperature (℃)
Bio08 Mean daily mean air temperatures of the wettest quarter (℃)
Bio09 Mean daily mean air temperatures of the driest quarter (℃)
Bio10 Mean daily mean air temperatures of the warmest quarter (℃)
Bio11 Mean daily mean air temperatures of the coldest quarter (℃)
Bio12 Annual precipitation amount (mm)
Bio13 Precipitation amount of the wettest month (mm)
Bio14 Precipitation amount of the driest month (mm)
Bio15 Precipitation seasonality (%)
Bio16 Precipitation amount of the wettest quarter (mm)
Bio17 Precipitation amount of the driest quarter (mm)
Bio18 Precipitation amount of the warmest quarter (mm)
Bio19 Precipitation amount of the coldest quarter (mm)

Others

More information related to bioclimatic variables can be found on https://chelsa-climate.org/bioclim/