An artificial neural network technique for downscaling GCM outputs to RCM spatial scale
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
An artificial neural network technique for downscaling GCM outputs to RCM spatial scale ; volume:18 ; number:6 ; year:2011 ; pages:1013-1028
Nonlinear processes in geophysics ; 18, Heft 6 (2011), 1013-1028
- Creator
-
Chadwick, R.
Coppola, E.
Giorgi, F.
- DOI
-
10.5194/npg-18-1013-2011
- URN
-
urn:nbn:de:101:1-201710282309
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:30 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
- Chadwick, R.
- Coppola, E.
- Giorgi, F.
Other Objects (12)
The Greenland ice sheet: modelling the surface mass balance from GCM output with a new statistical downscaling technique
On the role of wave climate temporal variability in bias correction of GCM-RCM wave simulations
Evaluating climate change impacts on streamflow variability based on a multisite multivariate GCM downscaling method
G.C.M. Gabain
Mit der Modellkette RCP-GCM-RCM-mGROWA projizierte Grundwasserneubildung als Datenbasis für zukünftiges Grundwassermanagement in Nordrhein-Westfalen
Present and future European heat wave magnitudes: climatologies, trends, and their associated uncertainties in GCM-RCM model chains
Future changes in European winter storm losses and extreme wind speeds inferred from GCM and RCM multi-model simulations
Uncertainties originating from GCM downscaling and bias correction with application to the MIS-11c Greenland Ice Sheet
Uncertainties originating from GCM downscaling and bias correction with application to the MIS-11c Greenland Ice Sheet
Present day bias and future change signal of temperature over China in a series of multi-GCM driven RCM simulations
Technical Note: Downscaling RCM precipitation to the station scale using statistical transformations – a comparison of methods
RcM 234
The Greenland ice sheet: modelling the surface mass balance from GCM output with a new statistical downscaling technique
On the role of wave climate temporal variability in bias correction of GCM-RCM wave simulations
Evaluating climate change impacts on streamflow variability based on a multisite multivariate GCM downscaling method
G.C.M. Gabain
Mit der Modellkette RCP-GCM-RCM-mGROWA projizierte Grundwasserneubildung als Datenbasis für zukünftiges Grundwassermanagement in Nordrhein-Westfalen
Present and future European heat wave magnitudes: climatologies, trends, and their associated uncertainties in GCM-RCM model chains
Future changes in European winter storm losses and extreme wind speeds inferred from GCM and RCM multi-model simulations
Uncertainties originating from GCM downscaling and bias correction with application to the MIS-11c Greenland Ice Sheet
Uncertainties originating from GCM downscaling and bias correction with application to the MIS-11c Greenland Ice Sheet
Present day bias and future change signal of temperature over China in a series of multi-GCM driven RCM simulations
Technical Note: Downscaling RCM precipitation to the station scale using statistical transformations – a comparison of methods
RcM 234
The Greenland ice sheet: modelling the surface mass balance from GCM output with a new statistical downscaling technique
On the role of wave climate temporal variability in bias correction of GCM-RCM wave simulations
Evaluating climate change impacts on streamflow variability based on a multisite multivariate GCM downscaling method
G.C.M. Gabain
Mit der Modellkette RCP-GCM-RCM-mGROWA projizierte Grundwasserneubildung als Datenbasis für zukünftiges Grundwassermanagement in Nordrhein-Westfalen
Present and future European heat wave magnitudes: climatologies, trends, and their associated uncertainties in GCM-RCM model chains
Future changes in European winter storm losses and extreme wind speeds inferred from GCM and RCM multi-model simulations
Uncertainties originating from GCM downscaling and bias correction with application to the MIS-11c Greenland Ice Sheet
Uncertainties originating from GCM downscaling and bias correction with application to the MIS-11c Greenland Ice Sheet
Present day bias and future change signal of temperature over China in a series of multi-GCM driven RCM simulations
Technical Note: Downscaling RCM precipitation to the station scale using statistical transformations – a comparison of methods