The data are monthly average near-surface temperatures across China from 1979 to 2017. The spatial resolution is 0.5°x0.5°. The original data source is observations from more than 2000 meteorological stations, which we resampled onto a 0.5°x0.5° grid
High-resolution meteorological data products are crucial for agrometeorological studies. Here, we st...
GPRChinaTemp1km is a new high-resolution (1-km) monthly gridded air temperature dataset for China fr...
[1] Land surface hydrological modeling is sensitive to near-surface air temperature, which is especi...
The data is daily near-surface average temperatures across China from 1979 to 2017. The spatial reso...
The dataset with 0.5 arcminute (~1 km) was spatially downscaled from CRU TS v4.02 based on Delta dow...
The dataset with 0.5 arcminute (~1 km) was spatially downscaled from CRU TS v4.02 based on Delta dow...
The dataset with 0.5 arcminute (~1 km) was spatially downscaled from CRU TS v4.02 based on Delta dow...
Air temperature near the surface is an important controlling parameter for land surface processes, a...
ChinaClim_time-series is a monthly temperatures and precipitation dataset in China for the period of...
The CDAT dataset contains near-surface air temperature data for China during the period of 1979-2018...
ChinaClim_time-series is a monthly temperatures and precipitation dataset in China for the period of...
Incorporation satellite-driven data (TRMM3B43 and MODIS LST) and more 2000 weather stations in optim...
The dataset with 0.5 arcminute (~1 km) was spatially downscaled from CRU TS v4.02 based on Delta dow...
GPRChinaTemp1km is a new high-resolution (1-km) monthly gridded air temperature dataset for China fr...
We have found that a spatial interpolation of mean annual temperature (MAT) in China can be accompli...
High-resolution meteorological data products are crucial for agrometeorological studies. Here, we st...
GPRChinaTemp1km is a new high-resolution (1-km) monthly gridded air temperature dataset for China fr...
[1] Land surface hydrological modeling is sensitive to near-surface air temperature, which is especi...
The data is daily near-surface average temperatures across China from 1979 to 2017. The spatial reso...
The dataset with 0.5 arcminute (~1 km) was spatially downscaled from CRU TS v4.02 based on Delta dow...
The dataset with 0.5 arcminute (~1 km) was spatially downscaled from CRU TS v4.02 based on Delta dow...
The dataset with 0.5 arcminute (~1 km) was spatially downscaled from CRU TS v4.02 based on Delta dow...
Air temperature near the surface is an important controlling parameter for land surface processes, a...
ChinaClim_time-series is a monthly temperatures and precipitation dataset in China for the period of...
The CDAT dataset contains near-surface air temperature data for China during the period of 1979-2018...
ChinaClim_time-series is a monthly temperatures and precipitation dataset in China for the period of...
Incorporation satellite-driven data (TRMM3B43 and MODIS LST) and more 2000 weather stations in optim...
The dataset with 0.5 arcminute (~1 km) was spatially downscaled from CRU TS v4.02 based on Delta dow...
GPRChinaTemp1km is a new high-resolution (1-km) monthly gridded air temperature dataset for China fr...
We have found that a spatial interpolation of mean annual temperature (MAT) in China can be accompli...
High-resolution meteorological data products are crucial for agrometeorological studies. Here, we st...
GPRChinaTemp1km is a new high-resolution (1-km) monthly gridded air temperature dataset for China fr...
[1] Land surface hydrological modeling is sensitive to near-surface air temperature, which is especi...
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