Bias adjustment for decadal predictions of precipitation in Europe from CCLM
Author:
Funder
German Ministry of Education and Research
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
http://link.springer.com/article/10.1007/s00382-019-04646-y/fulltext.html
Reference46 articles.
1. Balmaseda MA et al (2015) The ocean reanalyses intercomparison project (ORA-IP). J Oper Oceanogr. https://doi.org/10.1080/1755876X.2015.1022329
2. Boer GJ, Smith DM, Cassou C, Doblas-Reyes F, Danabasoglu G, Kirtman B, Kushnir Y, Kimoto M, Meehl GA, Msadek R, Mueller WA, Taylor KE, Zwiers F, Rixen M, Ruprich-Robert Y, Eade R (2016) The Decadal Climate Prediction Project (DCPP) contribution to CMIP6. Geosci Model Dev 9:3751–3777. https://doi.org/10.5194/gmd-9-3751-2016
3. Buizza R, Richardson D (2017) 25 years of ensemble forecasting at ECMWF. ECMWF Newsl 153:20–31. https://doi.org/10.21957/bv418o
4. Cannon A (2016) Multivariate bias correction of climate model output: matching marginal distributions and intervariable dependence structure. J Clim 29:7045–7064. https://doi.org/10.1175/JCLI-D-15-0679.1
5. Dee DP et al (2011) The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q J R Meteorol Soc 137:553–597. https://doi.org/10.1002/qi.828
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