Qin, Rongzhu; Zhang, Feng (2022): Annual average temperature (maximum temperature and minimum temperature) and annual accumulated precipitation across China from 1961-2019 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.942521
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Abstract:
The annual datasets as "teaser data", can make it much more easy for potential users to have a brief look at daily datasets. The datasets are annual average temperature (maximum temperature and minimum temperature) and annual accumulated precipitation with 1 km spatial resolution over 1961-2019, and are calculated from the daily, gridded maximum temperature, minimum temperature, and precipitation dataset for China (https://doi.org/10.1594/PANGAEA.941329).
Related to:
Qin, Rongzhu; Zhang, Feng (2022): HRLT: A high-resolution (1 day, 1 km) and long-term (1961–2019) gridded dataset for temperature and precipitation across China. PANGAEA, https://doi.org/10.1594/PANGAEA.941329
Qin, Rongzhu; Zhao, Z; Xu, J; Ye, Jian-Sheng; Li, Feng-Min; Zhang, Feng (2022): HRLT: a high-resolution (1 d, 1 km) and long-term (1961–2019) gridded dataset for surface temperature and precipitation across China. Earth System Science Data, 14(11), 4793-4810, https://doi.org/10.5194/essd-14-4793-2022
Comment:
The file name is Annual_XX_keyword_year.tif, where XX is average or accumulated, keyword is variable (maxtmp for maximum temperature, and mintmp for minimum temperature, and prep for precipitation),The unit of annual average temperature is 0.01 degrees Celsius.The unit of annual accumulated precipitation is 0.01 mm.
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
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1 | Binary Object | Binary | Qin, Rongzhu | |||
2 | Binary Object (Media Type) | Binary (Type) | Qin, Rongzhu | |||
3 | Binary Object (File Size) | Binary (Size) | Bytes | Qin, Rongzhu |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
177 data points