- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Response to marine cloud brightening in a multi-model ensemble ; volume:18 ; number:2 ; year:2018 ; pages:621-634
Atmospheric chemistry and physics ; 18, Heft 2 (2018), 621-634
- Creator
-
Stjern, Camilla W.
Muri, Helene
Ahlm, Lars
Boucher, Olivier
Cole, Jason N. S.
Ji, Duoying
Jones, Andy
Haywood, Jim
Kravitz, Ben
Lenton, Andrew
Moore, John C.
Niemeier, Ulrike
Phipps, Steven J.
Schmidt, Hauke
Watanabe, Shingo
Kristjánsson, Jón Egill
- DOI
-
10.5194/acp-18-621-2018
- URN
-
urn:nbn:de:101:1-201801252133
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:02 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
- Stjern, Camilla W.
- Muri, Helene
- Ahlm, Lars
- Boucher, Olivier
- Cole, Jason N. S.
- Ji, Duoying
- Jones, Andy
- Haywood, Jim
- Kravitz, Ben
- Lenton, Andrew
- Moore, John C.
- Niemeier, Ulrike
- Phipps, Steven J.
- Schmidt, Hauke
- Watanabe, Shingo
- Kristjánsson, Jón Egill
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Response to marine cloud brightening in a multi-model ensemble
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Multi-model ensemble: technique and validation
Multi-Model Ensemble Wake Vortex Prediction
Cluster-based analysis of multi-model climate ensembles
Climate extremes in multi-model simulations of stratospheric aerosol and marine cloud brightening climate engineering
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Investigation of Uncertainties in Multi-variable Bias Adjustment in Multi-model Ensemble
Response to marine cloud brightening in a multi-model ensemble
Multi-model ensemble wake vortex prediction
Multi-model ensemble: technique and validation
Multi-Model Ensemble Wake Vortex Prediction
Cluster-based analysis of multi-model climate ensembles
Climate extremes in multi-model simulations of stratospheric aerosol and marine cloud brightening climate engineering
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Consistency of the multi-model CMIP5/PMIP3-past1000 ensemble
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De praeceptis ferendis : good practice in multi-model ensembles
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