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Geophysical Research Letters
Article . 1996 . Peer-reviewed
License: Wiley Online Library User Agreement
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Surrogate climate‐change scenarios for regional climate models

Authors: Christoph Schär; Christoph Frei; Daniel Lüthi; Huw C. Davies;

Surrogate climate‐change scenarios for regional climate models

Abstract

A methodology is presented for generating surrogate climate‐change scenarios with a regional climate model. The procedure is simple to implement and dynamically consistent. It entails (i) adopting a realized or simulated atmospheric flow evolution and (ii) prescribing specific thermodynamic modifications of this realization to a regional model's initial fields and externally‐specified time‐dependent lateral boundaries fields. The resulting scenarios can be used for process and parameterization studies, to calibrate the regional response to a putative global climate change, and to intercompare different models. The approach is illustrated with two month‐long regional climate model simulations. The experiment is designed to explore the response within Europe to a pseudo‐global warming of 2 K with an accompanying increase in atmospheric water vapor content. Analysis reveals that there is a spatially‐differentiated preciptation increase consonant with the domain‐averaged increase of about 16% in the water vapor content.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
280
Top 1%
Top 1%
Top 10%
gold