Jiang, Hou; Lu, Ning (2023): High-resolution surface global solar radiation and the diffuse component dataset over China (2020) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.955967, In: Jiang, H; Lu, N (2019): High-resolution surface global solar radiation and the diffuse component dataset over China [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.904136
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Abstract:
Surface solar radiation drives the water cycle and energy exchange on the earth's surface, and its diffuse component can promote carbon uptake in ecosystems by increasing the plant productivity. The accurate knowledge of their spatial distribution is of great importance to many studies and applications, such as the estimation of agricultural yield, carbon dynamics of terrestrial systems, site selection of solar power plants, as well as trends of regional climate changes. Therefore, we produce the hourly surface radiation datasets based on the hourly Multi-functional Transport Satellite (MTSAT) satellite imagery and the ground observations from the China Meteorology Administration (CMA) through deep learning techniques. The deep network is trained using training samples in 2014, and then utilized to generate the hourly radiation for other years. This dataset provides the gridded surface global and diffuse solar radiation in 2020 within 71.025°E - 141.025°E and 14.975°N - 59.975°N with an increment of 0.05°. The dataset should be useful for the analysis of the regional differences and temporal cycles of solar radiation in fine scales, and the impact of diffuse radiation on plant growth etc.
Related to:
Jiang, Hou; Lu, Ning; Qin, Jun; Tang, Wenjun; Yao, Ling (2019): A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data. Renewable & Sustainable Energy Reviews, 114, 109327, https://doi.org/10.1016/j.rser.2019.109327
Jiang, Hou; Lu, Ning; Qin, Jun; Yao, Ling (2020): Hourly 5-km surface total and diffuse solar radiation in China, 2007–2018. Scientific Data, 7(1), 311, https://doi.org/10.1038/s41597-020-00654-4
Related code / software:
Additional metadata:
Coverage:
Latitude: 36.000000 * Longitude: 109.000000
Date/Time Start: 2020-01-01T00:00:00 * Date/Time End: 2020-12-31T00:00:00
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | DATE/TIME | Date/Time | Jiang, Hou | Geocode – start | ||
| 2 | DATE/TIME | Date/Time | Jiang, Hou | Geocode – end | ||
| 3 | Hierarchical Data Format h5 file | HDF5 | Jiang, Hou | |||
| 4 | Hierarchical Data Format h5 file (File Size) | HDF5 (Size) | Bytes | Jiang, Hou |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
12 data points