Monthly/8-km Grid Meteorological Dataset at the Middle and Upper Reaches of the Yellow River Basin of China (1980-2015)
WANG Yaqin1,2,3SUN Lin1LI Hongyu1,3LUO Yi*1,3
1 Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences，Beijing 100101，China2 China Land Surveying and Planning Institute，Beijing 100035，China3 University of Chinese Academy of Sciences，Beijing 100049，China
DOI:10.3974/geodb.2021.07.09.V1
Published:Jul. 2021
Visitors：3636 Data Files Downloaded：262
Data Downloaded：36267.91 MB Citations：
Key Words：
Yellow River Basin,meteorological,climate change,spatial interpolation
Abstract：
The Monthly/8-km Grid Meteorological Dataset at the Middle and Upper Reaches of the Yellow River Basin of China (1980-2015) was developed based on the monthly average temperature, maximum temperature, minimum temperature, average relative humidity, average wind speed, precipitation (accumulated from 20:00 of the previous day to 20:00 of the day), sunshine hours, and the potential evapotranspiration calculated using Penman-Monteith algorithm at the 195 stations surrounding the middle and upper reaches of the Yellow River Basin. The platform of ANUSPLIN, the smooth spline functions of thin plates with different variables were constructed by comprehensively considering the influence of topography on the spatial differentiation of air temperature, wind speed, and humidity, and that of radiation, humidity, and wind speed on potential evapotranspiration. The dataset includes: (1) the boundary data of the upper and middle reaches of the Yellow River basin; (2) the monthly/8-km average temperature, maximum temperature, minimum temperature, average relative humidity, average wind speed, precipitation, sunshine hours, and potential evapotranspiration data from 1980 to 2015. The dataset is archived in .shp and .img data formats, and consists of 3463 data files with data size of 672 MB (Compressed to one single file with 138 MB).Browse
Foundation Item：
Ministry of Science and Technology of P. R. China (2016YFC0501603); Chinese Academy of Sciences (XDA20060301)
Data Citation：
WANG Yaqin, SUN Lin, LI Hongyu, LUO Yi*.Monthly/8-km Grid Meteorological Dataset at the Middle and Upper Reaches of the Yellow River Basin of China (1980-2015)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2021. https://doi.org/10.3974/geodb.2021.07.09.V1.
WANG YaQin, SUN Lin, LI Hongyu, et al. Monthly/8-km grid meteorological dataset at the middle and upper reaches of the Yellow River basin of China (1980–2015) [J]. Journal of Global Change Data & Discovery, 2022, 6(1): 25–36.
Related publication：
[1] Wang, Y. Q., Luo, Y., Shafeeque, M., et al. Modelling interannual variations in catchment evapotranspiration considering vegetation and climate seasonality using the Budyko framework [J]. Hydrological Processes, 2021, 35(4): e14118.
[2] Wang, Y. Q., Luo, Y., Shafeeque, M. Using a Gaussian Function to describe the seasonal courses of monthly precipitation and potential evapotranspiration across the Yellow River Basin, China [J]. Journal of Hydrometeorology, 2019, 20(11): 2185-2201.
[3] Wang, Y. Q., Luo, Y., Shafeeque, M. Interpretation of vegetation phenology changes using daytime and night-time temperatures across the Yellow River Basin, China [J]. Science of the Total Environment, 2019, 693: 133553.
References：
[1] Hutchinson, M. F. Anusplin Version 4.2 User Guide [M]. Cauberra: Australian National University. 2001.
[2] Hijmans, R. J., Cameron, S. E., Parra, J. L., et al. Very high resolution interpolated climate surfaces for global land areas [J]. International Journal of Climatology, 2005, 25: 1965-1978.
[3] Liu, Z. H., McVicar, T. R., Li, L., et al. Interpolation for time series of meteorological variables using ANUSPLIN [J]. Journal of Northwest A&F University (Natural Science Edition), 2008, 36(10): 227-234.
[4] Liu, Z. H., McVicar, T. R., Niel, V., et al. Introduction of the professional interpolation software for meteorology data: ANUSPLIN [J]. Meteorological Monthly, 2008, 34(2): 92-100.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 0 | Datapaper_MeteoDataYellowRB_1980-2015.pdf | 1692.00kb | DownLoad |
| 1 |
MeteoDataYellowRB_1980-2015.rar |
141749.38KB |
|