High-resolution surface global solar radiation and the diffuse component dataset over China (2016)


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 2008, and then utilized to generate the hourly radiation for other years. This dataset provides the gridded surface global and diffuse solar radiation in 2016 within 71.025°E - 141.025°E and 14.975°N - 59.975°N with an increment of 0.05°. Both the direct predicted hourly values and the integrated daily and monthly total values are available. 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.

DOI https://doi.org/10.1594/PANGAEA.907455
Related Identifier https://doi.org/10.1594/PANGAEA.904136
Related Identifier https://doi.org/10.1016/j.rser.2019.109327
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.907455
Creator Jiang, Hou ; Lu, Ning
Publisher PANGAEA
Publication Year 2019
Rights Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International; https://creativecommons.org/licenses/by-nc-sa/4.0/
OpenAccess true
Language English
Resource Type Dataset
Format text/tab-separated-values
Size 95 data points
Discipline Earth System Research
Spatial Coverage (109.000 LON, 36.000 LAT)