4.6 Article

Influence of Thermodynamic State Changes on Surface Cloud Radiative Forcing in the Arctic: A Comparison of Two Approaches Using Data From AFLUX and SHEBA

Journal

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1029/2020JD033589

Keywords

cloud radiative forcing; radiative energy budget sea ice; thermodynamic states

Funding

  1. Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [268020496-TRR 172]
  2. AWI
  3. Projekt DEAL

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This study compared two methods for estimating the impact of clouds on radiative forcing, finding that the measurement-based approach results in a smaller shortwave cooling effect and a stronger longwave warming effect compared to the radiative transfer approach.
The cloud radiative forcing (CRF) quantifies the warming or cooling effects of clouds. To derive the CRF, reference values of net (downward minus upward) irradiances in cloud-free conditions are required. There are two groups of techniques to estimate these reference values; one is based on radiative transfer modeling, and a second group uses measurements in cloud-free situations. To compare both approaches, we first look at a case study from the airborne measurements of radiative and turbulent FLUXes of energy and momentum in the Arctic boundary layer (AFLUX) campaign, where a moving cloud field with a sharp edge separating a cloudy boundary layer from an adjacent evolving cloud-free area was probed. These data enabled the quantification of the impact of changing atmospheric and surface properties relevant for the reference net irradiances in cloud-free conditions. The systematically higher surface albedo below clouds compared to cloud-free conditions, results in a 11 W center dot m(-2) smaller shortwave cooling effect by clouds estimated from the radiative transfer approach compared to the measurement-based one. Due to the transition of thermodynamic parameters between the cloudy and cloud-free atmospheric states, a 20 W center dot m(-2) stronger warming effect is estimated by the radiative transfer approach. In a second step, radiative transfer simulations based on radiosoundings from the Surface Heat Budget of the Arctic Ocean campaign are used to quantify the impact of the vertical profiles of thermodynamic properties on the CRF. The largest difference between the longwave CRF estimated by the two methods is found in autumn with up to 25 W center dot m(-2).

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