Final Technical Report for Project "Improving the Simulation of Arctic Clouds in CCSM3"

This project has focused on the simulation of Arctic clouds in CCSM3 and how the modeled cloud amount (and climate) can be improved substantially by altering the parameterized low cloud fraction. The new formula, dubbed 'freeezedry', alleviates the bias of excessive low clouds during polar...

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Main Author: Stephen J. Vavrus
Language:unknown
Published: 2010
Subjects:
Online Access:http://www.osti.gov/servlets/purl/940966
https://www.osti.gov/biblio/940966
https://doi.org/10.2172/940966
id ftosti:oai:osti.gov:940966
record_format openpolar
spelling ftosti:oai:osti.gov:940966 2023-07-30T04:00:39+02:00 Final Technical Report for Project "Improving the Simulation of Arctic Clouds in CCSM3" Stephen J. Vavrus 2010-08-05 application/pdf http://www.osti.gov/servlets/purl/940966 https://www.osti.gov/biblio/940966 https://doi.org/10.2172/940966 unknown http://www.osti.gov/servlets/purl/940966 https://www.osti.gov/biblio/940966 https://doi.org/10.2172/940966 doi:10.2172/940966 58 GEOSCIENCES 54 ENVIRONMENTAL SCIENCES ARCTIC OCEAN CLIMATE MODELS CLIMATES CLOUDS EDUCATIONAL FACILITIES FORECASTING GREENHOUSE GASES POLAR REGIONS SEAS SENSITIVITY SUPERCONDUCTING SUPER COLLIDER SYNTHESIS 2010 ftosti https://doi.org/10.2172/940966 2023-07-11T08:46:35Z This project has focused on the simulation of Arctic clouds in CCSM3 and how the modeled cloud amount (and climate) can be improved substantially by altering the parameterized low cloud fraction. The new formula, dubbed 'freeezedry', alleviates the bias of excessive low clouds during polar winter by reducing the cloud amount under very dry conditions. During winter, freezedry decreases the low cloud amount over the coldest regions in high latitudes by over 50% locally and more than 30% averaged across the Arctic (Fig. 1). The cloud reduction causes an Arctic-wide drop of 15 W m{sup -2} in surface cloud radiative forcing (CRF) during winter and about a 50% decrease in mean annual Arctic CRF. Consequently, wintertime surface temperatures fall by up to 4 K on land and 2-8 K over the Arctic Ocean, thus significantly reducing the model's pronounced warm bias (Fig. 1). While improving the polar climate simulation in CCSM3, freezedry has virtually no influence outside of very cold regions (Fig. 2) or during summer (Fig. 3), which are space and time domains that were not targeted. Furthermore, the simplicity of this parameterization allows it to be readily incorporated into other GCMs, many of which also suffer from excessive wintertime polar cloudiness, based on the results from the CMIP3 archive (Vavrus et al., 2008). Freezedry also affects CCSM3's sensitivity to greenhouse forcing. In a transient-CO{sub 2} experiment, the model version with freezedry warms up to 20% less in the North Polar and South Polar regions (1.5 K and 0.5 K smaller warming, respectively) (Fig. 4). Paradoxically, the muted high-latitude response occurs despite a much larger increase in cloud amount with freezedry during non-summer months (when clouds warm the surface), apparently because of the colder modern reference climate. These results of the freezedry parameterization have recently been published (Vavrus and D. Waliser, 2008: An improved parameterization for simulating Arctic cloud amount in the CCSM3 climate model. J. Climate, 21, ... Other/Unknown Material Arctic Arctic Ocean SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic Arctic Ocean
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 58 GEOSCIENCES
54 ENVIRONMENTAL SCIENCES
ARCTIC OCEAN
CLIMATE MODELS
CLIMATES
CLOUDS
EDUCATIONAL FACILITIES
FORECASTING
GREENHOUSE GASES
POLAR REGIONS
SEAS
SENSITIVITY
SUPERCONDUCTING SUPER COLLIDER
SYNTHESIS
spellingShingle 58 GEOSCIENCES
54 ENVIRONMENTAL SCIENCES
ARCTIC OCEAN
CLIMATE MODELS
CLIMATES
CLOUDS
EDUCATIONAL FACILITIES
FORECASTING
GREENHOUSE GASES
POLAR REGIONS
SEAS
SENSITIVITY
SUPERCONDUCTING SUPER COLLIDER
SYNTHESIS
Stephen J. Vavrus
Final Technical Report for Project "Improving the Simulation of Arctic Clouds in CCSM3"
topic_facet 58 GEOSCIENCES
54 ENVIRONMENTAL SCIENCES
ARCTIC OCEAN
CLIMATE MODELS
CLIMATES
CLOUDS
EDUCATIONAL FACILITIES
FORECASTING
GREENHOUSE GASES
POLAR REGIONS
SEAS
SENSITIVITY
SUPERCONDUCTING SUPER COLLIDER
SYNTHESIS
description This project has focused on the simulation of Arctic clouds in CCSM3 and how the modeled cloud amount (and climate) can be improved substantially by altering the parameterized low cloud fraction. The new formula, dubbed 'freeezedry', alleviates the bias of excessive low clouds during polar winter by reducing the cloud amount under very dry conditions. During winter, freezedry decreases the low cloud amount over the coldest regions in high latitudes by over 50% locally and more than 30% averaged across the Arctic (Fig. 1). The cloud reduction causes an Arctic-wide drop of 15 W m{sup -2} in surface cloud radiative forcing (CRF) during winter and about a 50% decrease in mean annual Arctic CRF. Consequently, wintertime surface temperatures fall by up to 4 K on land and 2-8 K over the Arctic Ocean, thus significantly reducing the model's pronounced warm bias (Fig. 1). While improving the polar climate simulation in CCSM3, freezedry has virtually no influence outside of very cold regions (Fig. 2) or during summer (Fig. 3), which are space and time domains that were not targeted. Furthermore, the simplicity of this parameterization allows it to be readily incorporated into other GCMs, many of which also suffer from excessive wintertime polar cloudiness, based on the results from the CMIP3 archive (Vavrus et al., 2008). Freezedry also affects CCSM3's sensitivity to greenhouse forcing. In a transient-CO{sub 2} experiment, the model version with freezedry warms up to 20% less in the North Polar and South Polar regions (1.5 K and 0.5 K smaller warming, respectively) (Fig. 4). Paradoxically, the muted high-latitude response occurs despite a much larger increase in cloud amount with freezedry during non-summer months (when clouds warm the surface), apparently because of the colder modern reference climate. These results of the freezedry parameterization have recently been published (Vavrus and D. Waliser, 2008: An improved parameterization for simulating Arctic cloud amount in the CCSM3 climate model. J. Climate, 21, ...
author Stephen J. Vavrus
author_facet Stephen J. Vavrus
author_sort Stephen J. Vavrus
title Final Technical Report for Project "Improving the Simulation of Arctic Clouds in CCSM3"
title_short Final Technical Report for Project "Improving the Simulation of Arctic Clouds in CCSM3"
title_full Final Technical Report for Project "Improving the Simulation of Arctic Clouds in CCSM3"
title_fullStr Final Technical Report for Project "Improving the Simulation of Arctic Clouds in CCSM3"
title_full_unstemmed Final Technical Report for Project "Improving the Simulation of Arctic Clouds in CCSM3"
title_sort final technical report for project "improving the simulation of arctic clouds in ccsm3"
publishDate 2010
url http://www.osti.gov/servlets/purl/940966
https://www.osti.gov/biblio/940966
https://doi.org/10.2172/940966
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
genre_facet Arctic
Arctic Ocean
op_relation http://www.osti.gov/servlets/purl/940966
https://www.osti.gov/biblio/940966
https://doi.org/10.2172/940966
doi:10.2172/940966
op_doi https://doi.org/10.2172/940966
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