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Presentation transcript:

Support from NSF and Clean Air Task Force The role of radiative-dynamic feedbacks in amplifying surface warming by Arctic stratus in polluted conditions Tim Garrett University of Utah Collaborations with Chuanfeng Zhao, Melissa Maestas, Mike Zulauf, and Steve Krueger at UU Support from NSF and Clean Air Task Force

Arctic Stratus at full resolution (30 m x 300 m)

Cloud Radiative Forcing Most Polluted

F(LW) = T4 Winter – Enhanced Cloud Longwave Emissivity (+ΔT) Thin, polluted cloud. Better insulator. Heat is trapped and re-emitted. [Garrett and Zhao, Nature, 2006] Thin, clean cloud Poor insulator Heat escapes F(LW) = T4

Cloud emissivity depends foremost on cloud thickness Garrett et al. (2002) JAS

Cloud emissivity also depends on re and potentially also Arctic pollution Garrett et al. (2002) JAS

Measurements ARM remote sensing NOAA aerosol Barrow Site ERS-Gome satellite Ozone profile Temperature and water vapor profiles

Upper haze quartile Clean Polluted Lower haze quartile All Low Cloud

Liquid Cloud

LES Modeling

Polluted, 44 hrs Clean, 44 hrs Polluted, 48 hrs Clean, 48 hrs Cloud forms Polluted cloud is thicker

FLW FLW FLW

Summary Seasonal pollution is associated with changes in low-level Arctic cloud properties Smaller radii Larger LWP too! Extra higher longwave cloud emissivity When polluted and cloudy, extra warming is between 10 and 20 W/m2 more than clean and cloudy

Summary Increases in downwelling longwave fluxes occur in late winter and early spring, at the beginning of the melting ‘push’

Summary The CRF increases are larger than would be expected from effective radius decreases alone There may be interesting interactions between pollution and cloud dynamics, associated with enhanced cloud top radiative cooling Cloud cover Cloud circulations Cloud top entrainment Cloud forcing?