S. Hofer

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Articles (11)

Year:

2022

Year:

2022

Mixed‐phase clouds play an important role in determining Arctic warming, but are parametrized in models and difficult to constrain with observations. We use two satellite‐derived cloud phase metrics to investigate the vertical structure of Arctic clouds in two global climate models that use the Community Atmosphere Model version 6 (CAM6) atmospheric component. We report a model error limiting ice nucleation, produce a set of Arctic‐constrained model runs by adjusting model microphysical variables to match the cloud phase metrics, and evaluate cloud feedbacks for all simulations. Models in this small ensemble uniformly overestimate total cloud fraction in the summer, but have variable representation of cloud fraction and phase in the winter and spring. By relating modeled cloud phase metrics and changes in low‐level liquid cloud amount under warming to longwave cloud feedback, we show that mixed‐phase processes mediate the Arctic climate by modifying how wintertime and springtime clouds respond to warming.

Year:

2022

Year:

2021

Year:

2021

Year:

2021

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2021

Year:

2020

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2020

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2020

Year:

2020

Collaborators (11)

Andrew Tedstone

University of Bristol

UNITED KINGDOM
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Christoph Kittel

-

FRANCE
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Tristram Irvine-Fynn

Aberystwyth University

UNITED KINGDOM
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Vincent Favier

Assitant Professor

Université Grenoble Alpes

FRANCE
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Alison Delhasse

University of Liege

BELGIUM
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Roland Séférian

-

FRANCE
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Trude Storelvmo

Associate Professor

University of Oslo

NORWAY
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Charlotte Lang

University of Reading

UNITED KINGDOM
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Owen McAree

Lecturer

University of Liverpool

UNITED KINGDOM
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Archana Dayal

Aberystwyth University

UNITED KINGDOM
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Ella Gilbert

University of Reading

UNITED KINGDOM
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