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Impact of poleward heat and moisture transports on Arctic clouds and climate simulation

Cited 2 time in wos
Cited 4 time in scopus
Title
Impact of poleward heat and moisture transports on Arctic clouds and climate simulation
Other Titles
열과 수증기의 극향 수송이 북극의 구름과 기후 모의에 미치는 영향
Authors
Baek, Eun-Hyuk
Kim, Joo-Hong
Park, Sungsu
Kim, Baek-Min
Jeong, Jee-Hoon
Subject
Environmental Sciences & EcologyMeteorology & Atmospheric Sciences
Issue Date
2020-03
Citation
Baek, Eun-Hyuk, et al. 2020. "Impact of poleward heat and moisture transports on Arctic clouds and climate simulation". ATMOSPHERIC CHEMISTRY AND PHYSICS, 20(5): 2953-2966.
Abstract
Many general circulation models (GCMs) have difficulty simulating Arctic clouds and climate, causing substantial inter-model spread. To address this issue, two Atmospheric Model Inter-comparison Project (AMIP) simulations from the Community Atmosphere Model version 5 (CAM5) and Seoul National University (SNU) Atmosphere Model version 0 (SAM0) with a Unified Convection Scheme (UNICON) are employed to identify an effective mechanism for improving Arctic cloud and climate simulations. Over the Arctic, SAM0 produced a larger cloud fraction and cloud liquid mass than CAM5, reducing the negative Arctic cloud biases in CAM5. The analysis of cloud water condensate rates indicates that this improvement is associated with an enhanced net condensation rate of water vapor into the liquid condensate of Arctic low-level clouds, which in turn is driven by enhanced poleward transports of heat and moisture by the mean meridional circulation and transient eddies. The reduced Arctic cloud biases lead to improved simulations of surface radiation fluxes and near-surface air temperature over the Arctic throughout the year. The association between the enhanced poleward transports of heat and moisture and increase in liquid clouds over the Arctic is also evident not only in both models, but also in the multi-model analysis. Our study demonstrates that enhanced poleward heat and moisture transport in a model can improve simulations of Arctic clouds and climate.
URI
https://repository.kopri.re.kr/handle/201206/11010
DOI
http://dx.doi.org/10.5194/acp-20-2953-2020
Type
Article
Station
기타
Indexed
SCI
Appears in Collections  
2019-2020, Korea-Arctic Ocean Observing System(K-AOOS) (19-20) / Kang, Sung-Ho (PM19040)
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