PANGAEA_932924 BaRAD: Bias-Adjusted RADiation Dataset Chakraborty, TC; Lee, Xuhui BaRAD: Bias-Adjusted RADiation Dataset 2021-06-23 PANGAEA Dataset https://doi.pangaea.de/10.1594/PANGAEA.932924 Investigator TC Chakraborty tc.chakraborty@yale.edu Earth Science DATE/TIME Binary Object Binary Object (File Size) geoscientificInformation diffuse radiation machine learning radiation 1980-01-01 2019-12-31 Complete unrestricted CC-BY-4.0: Creative Commons Attribution 4.0 International English PANGAEA Data Publisher for Earth & Environmental Science https://www.pangaea.de/ Data Center Contact Michael Diepenbroek info@pangaea.de

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Bremen Bremen 28359 Germany online 40 data points text/tab-separated-values Chakraborty, TC; Lee, Xuhui (2021): Using supervised learning to develop BaRAD, a 40-year monthly bias-adjusted global gridded radiation dataset. Scientific Data, 8(1), 238, https://doi.org/10.1038/s41597-021-01016-4

The diffuse component of solar radiation is an important, but understudied, component of the Earth's surface radiation budget. Most global climate models do not archive data on this component and observations of diffuse radiation are rare. Here, we archive a global 40-year (1980 - 2019) monthly radiation database called BaRAD (Bias-adjusted RADiation dataset) that includes the total shortwave radiation and its partitioning into its diffuse and direct beam components. The dataset is based on a random forest algorithm trained using the Global Energy Balance Archive (GEBA) monthly observation network and implemented on the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) dataset at the native MERRA-2 resolution (0.5 degree by 0.625 degree). The dataset picks up the seasonal, latitudinal, and long-term trends in the MERRA-2 data, but with reduced biases than MERRA-2. The dataset can reduce uncertainties in modelling surface energy and carbon budgets and help optimize the placement of concentrating solar power systems. ** For all details see the full metadata description at "https://doi.pangaea.de/10.1594/PANGAEA.932924"!

http://en.wikipedia.org/wiki/ISO_8601 DATE/TIME https://doi.org/10.1038/s41597-021-01016-4 Using supervised learning to develop BaRAD, a 40-year monthly bias-adjusted global gridded radiation dataset DIF 9.4 2021-06-23 2026-04-30