Strong control of Southern Ocean cloud reflectivity by ice-nucleating particles - Dataset

Large biases in climate model simulations of cloud radiative properties over the Southern Ocean cause large errors in modelled sea-surface temperatures and atmospheric circulation and climate sensitivity. Here we combine cloud-resolving model simulations with new estimates of the concentration of ic...

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Bibliographic Details
Main Authors: Vergara-Temprado, Jesús, Miltenberger, Annette, Furtado, Kalli, Grosvenor, Daniel, Shipway, Ben J., Hill, Adrian A., Wilkinson, Jonathan M., Field, Paul R., Murray, Benjamin J., Carslaw, Ken S.
Format: Dataset
Language:unknown
Published: University of Leeds 2018
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Online Access:https://dx.doi.org/10.5518/317
http://archive.researchdata.leeds.ac.uk/318/
Description
Summary:Large biases in climate model simulations of cloud radiative properties over the Southern Ocean cause large errors in modelled sea-surface temperatures and atmospheric circulation and climate sensitivity. Here we combine cloud-resolving model simulations with new estimates of the concentration of ice-nucleating particles in this region to show that our simulated Southern Ocean clouds reflect far more radiation than predicted by global models, in agreement with satellite observations. Specifically, we show that the clouds which are most sensitive to the concentration of ice-nucleating particles are low-level mixed-phase clouds in the cold sectors of extra-tropical cyclones, which have previously been identified as a main contributor to the Southern Ocean radiation bias. The very low ice-nucleating particle concentrations that prevail over the Southern Ocean strongly suppress cloud droplet freezing, reduce precipitation and enhance cloud reflectivity. The results help explain why a strong radiation bias occurs mainly in this remote region away from major sources of ice-nucleating particles. The results present a substantial challenge to climate models to be able to simulate realistic ice-nucleating particle concentrations and their effects under specific meteorological conditions.