Present and LGM permafrost from climate simulations: contribution of statistical downscaling
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Present and LGM permafrost from climate simulations: contribution of statistical downscaling ; volume:7 ; number:4 ; year:2011 ; pages:1225-1246
Climate of the past ; 7, Heft 4 (2011), 1225-1246
- Creator
-
Levavasseur, G.
Vrac, M.
Roche, D. M.
Paillard, D.
Martin, A.
Vandenberghe, J.
- DOI
-
10.5194/cp-7-1225-2011
- URN
-
urn:nbn:de:101:1-201710276767
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:22 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Levavasseur, G.
- Vrac, M.
- Roche, D. M.
- Paillard, D.
- Martin, A.
- Vandenberghe, J.
Other Objects (12)
Present and LGM permafrost from climate simulations: contribution of statistical downscaling
A statistical downscaling framework for environmental mapping
Statistical and Dynamical Downscaling of Numerical Climate Simulations : Enhancement and Evaluation for East Asia [[Elektronische Ressource]]
Repeatable high-resolution statistical downscaling through deep learning
Regridding uncertainty for statistical downscaling of solar radiation
Deep learning for statistical downscaling of sea states
Evaluation of the empirical–statistical downscaling method EPISODES
Repeatable high-resolution statistical downscaling through deep learning
Downscaling atmospheric chemistry simulations with physically consistent deep learning
East Asian summer monsoon simulations: dynamical downscaling and seasonal prediction
Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0)
Hydrologic extremes – an intercomparison of multiple gridded statistical downscaling methods
Present and LGM permafrost from climate simulations: contribution of statistical downscaling
A statistical downscaling framework for environmental mapping
Statistical and Dynamical Downscaling of Numerical Climate Simulations : Enhancement and Evaluation for East Asia [[Elektronische Ressource]]
Repeatable high-resolution statistical downscaling through deep learning
Regridding uncertainty for statistical downscaling of solar radiation
Deep learning for statistical downscaling of sea states
Evaluation of the empirical–statistical downscaling method EPISODES
Repeatable high-resolution statistical downscaling through deep learning
Downscaling atmospheric chemistry simulations with physically consistent deep learning
East Asian summer monsoon simulations: dynamical downscaling and seasonal prediction
Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0)
Hydrologic extremes – an intercomparison of multiple gridded statistical downscaling methods
Present and LGM permafrost from climate simulations: contribution of statistical downscaling
A statistical downscaling framework for environmental mapping
Statistical and Dynamical Downscaling of Numerical Climate Simulations : Enhancement and Evaluation for East Asia [[Elektronische Ressource]]
Repeatable high-resolution statistical downscaling through deep learning
Regridding uncertainty for statistical downscaling of solar radiation
Deep learning for statistical downscaling of sea states
Evaluation of the empirical–statistical downscaling method EPISODES
Repeatable high-resolution statistical downscaling through deep learning
Downscaling atmospheric chemistry simulations with physically consistent deep learning
East Asian summer monsoon simulations: dynamical downscaling and seasonal prediction
Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0)