| _version_ | 1867168198790479872 |
|---|---|
| author | Peng, Shouzhang |
| author_facet | Peng, Shouzhang |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | The dataset with 0.5 arcminute (~1 km) was spatially downscaled from CRU TS v4.02 based on Delta downscaling method, including monthly minimum, maximum, and mean temperatures and precipitation from 1901.1 to 2017.12. The dataset covers the main land area of China. The dataset was evaluated by 745 national weather stations across China, and the evaluation indicated that the downscaled dataset is reliable for the investigations related to climate change across China. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_902191 |
| institution | PANGAEA |
| language | en |
| publishDate | 2019 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | High-spatial-resolution monthly temperature and precipitation dataset for China for 1901-2017 Peng, Shouzhang China; Climate change; Date/time end; Date/time start; File format; File size; high spatial resolution; monthly precipitation; monthly temperature; Uniform resource locator/link to file The dataset with 0.5 arcminute (~1 km) was spatially downscaled from CRU TS v4.02 based on Delta downscaling method, including monthly minimum, maximum, and mean temperatures and precipitation from 1901.1 to 2017.12. The dataset covers the main land area of China. The dataset was evaluated by 745 national weather stations across China, and the evaluation indicated that the downscaled dataset is reliable for the investigations related to climate change across China. |
| title | High-spatial-resolution monthly temperature and precipitation dataset for China for 1901-2017 |
| topic | China; Climate change; Date/time end; Date/time start; File format; File size; high spatial resolution; monthly precipitation; monthly temperature; Uniform resource locator/link to file |
| url | https://doi.org/10.1594/PANGAEA.902191 |