Abstract
Initial steps in statistical downscaling involve being able to compare observed data from regional climate models (RCMs). This prediction requires (1) regridding RCM outputs from their native grids and at differing spatial resolutions to a common grid in order to be comparable to observed data and (2) bias correcting RCM data, for example via quantile mapping, for future modeling and analysis. The uncertainty associated with (1) is not always considered for downstream operations in (2). This work examines this uncertainty, which is not often made available to the user of a regridded data product. This analysis is applied to RCM solar radiation data from the NA-CORDEX (North American Coordinated Regional Climate Downscaling Experiment) data archive and observed data from the National Solar Radiation Database housed at the National Renewable Energy Lab. A case study of the mentioned methods over California is presented.
Original language | American English |
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Pages (from-to) | 103-120 |
Number of pages | 18 |
Journal | Advances in Statistical Climatology, Meteorology and Oceanography |
Volume | 9 |
Issue number | 2 |
DOIs | |
State | Published - 2023 |
NREL Publication Number
- NREL/JA-5D00-88595
Keywords
- NA-CORDEX (North American Coordinated Regional Climate Downscaling Experiment)
- National Solar Radiation Database
- regional climate models
- solar radiation data
- uncertainty