Selection of representative near-future climate simulations by minimizing bias in average monthly temperature and precipitation
Author:
Funder
British Academy
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
https://link.springer.com/content/pdf/10.1007/s00704-023-04792-8.pdf
Reference50 articles.
1. Alavoine M, Grenier P (2023) The distinct problems of physical inconsistency and of multivariate bias involved in the statistical adjustment of climate simulations. Int J Climatol 43:1211–1233. https://doi.org/10.1002/joc.7878
2. Beck HE, Zimmermann NE, McVicar TR, Vergopolan N, Berg A, Wood EF (2018) Present and future Köppen-Geiger climate classification maps at 1-km resolution. Sci Data 5:180214. https://doi.org/10.1038/sdata.2018.214
3. Borovska H, Khokhlov V (2024) Climate data for Odesa, Ukraine in 2021–2050 based on EURO-CORDEX simulations. Geosci Data J. https://doi.org/10.1002/gdj3.197
4. Cannon AJ (2015) Selecting GCM scenarios that span the range of changes in a multimodel ensemble: application to CMIP5 climate extremes indices. J Clim 28:1260–1267. https://doi.org/10.1175/JCLI-D-14-00636.s1
5. Cannon AJ (2018) Multivariate quantile mapping bias correction: an N-dimensional probability density function transform for climate model simulations of multiple variables. Clim Dyn 50:31–49. https://doi.org/10.1007/s00382-017-3580-6
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