Testing AGCM-predicted cloud and radiation properties with arm data: The super-parameterization approach

Mikhail Ovtchinnikov; Thomas Ackerman; Roger Marchand; Marat Khairoutdinov

Testing AGCM-predicted cloud and radiation properties with arm data: The super-parameterization approach

Mikhail Ovtchinnikov
, Thomas Ackerman
, Roger Marchand
, Marat Khairoutdinov

Office of the Dean SOMAS

Stony Brook University

Pacific Northwest National Laboratory

Research output: Contribution to journal › Conference article › peer-review

Abstract

The use of the super parameterization (SP) approach to validate the global climate models (GCM) predicted cloud and radiation properties with atmospheric radiation measurement (ARM) data is discussed. The SP approach consists of a two-dimensional cloud-resolving model (CRM) embedded into each grid of the NCAR community atmospheric model (CAM). The combination of ARM data and CAM-SP simulations provides a unique framework for testing the model ability to represent real cloud fields as well as the effects of the cloud fields. The analysis of the cloud fraction, precipitation and downwelling solar radiation flux at the surface are also presented.

Original language	English
Pages (from-to)	4079-4089
Number of pages	11
Journal	Bulletin of the American Meteorological Society
State	Published - 2004
Event	Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, WA., United States Duration: Jan 11 2004 → Jan 15 2004

Cite this

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title = "Testing AGCM-predicted cloud and radiation properties with arm data: The super-parameterization approach",

abstract = "The use of the super parameterization (SP) approach to validate the global climate models (GCM) predicted cloud and radiation properties with atmospheric radiation measurement (ARM) data is discussed. The SP approach consists of a two-dimensional cloud-resolving model (CRM) embedded into each grid of the NCAR community atmospheric model (CAM). The combination of ARM data and CAM-SP simulations provides a unique framework for testing the model ability to represent real cloud fields as well as the effects of the cloud fields. The analysis of the cloud fraction, precipitation and downwelling solar radiation flux at the surface are also presented.",

author = "Mikhail Ovtchinnikov and Thomas Ackerman and Roger Marchand and Marat Khairoutdinov",

year = "2004",

language = "English",

pages = "4079--4089",

journal = "Bulletin of the American Meteorological Society",

issn = "0003-0007",

note = "Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting ; Conference date: 11-01-2004 Through 15-01-2004",

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TY - JOUR

T1 - Testing AGCM-predicted cloud and radiation properties with arm data

T2 - Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting

AU - Ovtchinnikov, Mikhail

AU - Ackerman, Thomas

AU - Marchand, Roger

AU - Khairoutdinov, Marat

PY - 2004

Y1 - 2004

N2 - The use of the super parameterization (SP) approach to validate the global climate models (GCM) predicted cloud and radiation properties with atmospheric radiation measurement (ARM) data is discussed. The SP approach consists of a two-dimensional cloud-resolving model (CRM) embedded into each grid of the NCAR community atmospheric model (CAM). The combination of ARM data and CAM-SP simulations provides a unique framework for testing the model ability to represent real cloud fields as well as the effects of the cloud fields. The analysis of the cloud fraction, precipitation and downwelling solar radiation flux at the surface are also presented.

AB - The use of the super parameterization (SP) approach to validate the global climate models (GCM) predicted cloud and radiation properties with atmospheric radiation measurement (ARM) data is discussed. The SP approach consists of a two-dimensional cloud-resolving model (CRM) embedded into each grid of the NCAR community atmospheric model (CAM). The combination of ARM data and CAM-SP simulations provides a unique framework for testing the model ability to represent real cloud fields as well as the effects of the cloud fields. The analysis of the cloud fraction, precipitation and downwelling solar radiation flux at the surface are also presented.

UR - https://www.scopus.com/pages/publications/2442499324

M3 - Conference article

SN - 0003-0007

SP - 4079

EP - 4089

JO - Bulletin of the American Meteorological Society

JF - Bulletin of the American Meteorological Society

Y2 - 11 January 2004 through 15 January 2004

ER -

Testing AGCM-predicted cloud and radiation properties with arm data: The super-parameterization approach

Abstract

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