Research Data Leeds Repository

Citation

Vergara-Temprado, Jesús and Miltenberger, Annette and Furtado, Kalli and Grosvenor, Daniel and Shipway, Ben J. and Hill, Adrian A. and Wilkinson, Jonathan M. and Field, Paul R. and Murray, Benjamin J. and Carslaw, Ken S. (2018) Strong control of Southern Ocean cloud reflectivity by ice-nucleating particles - Dataset. University of Leeds. [Dataset] https://doi.org/10.5518/317

Dataset description

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.

Keywords:	ice nucleation, mixed-phase clouds, Southern Ocean
Subjects:	F000 - Physical sciences > F700 - Science of aquatic & terrestrial environments > F760 - Climatology
Divisions:	Faculty of Environment > School of Earth and Environment > Institute for Climate and Atmospheric Science
Related resources:	Location Type https://doi.org/10.1073/pnas.1721627115 Publication https://eprints.whiterose.ac.uk/128144/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	21 Feb 2018 21:05
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/318
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Vergara-Temprado, Jesús https://orcid.org/0000-0002-3105-0946 University of Leeds https://ror.org/024mrxd33 ror Miltenberger, Annette https://orcid.org/0000-0003-3320-4272 University of Leeds https://ror.org/024mrxd33 ror Furtado, Kalli https://orcid.org/0000-0002-5166-112X Met Office https://ror.org/01ch2yn61 ror Grosvenor, Daniel https://orcid.org/0000-0002-4919-7751 University of Leeds https://ror.org/024mrxd33 ror Shipway, Ben J. https://orcid.org/0000-0002-7419-0789 Met Office https://ror.org/01ch2yn61 ror Hill, Adrian A. https://orcid.org/0000-0002-7444-9367 Met Office https://ror.org/01ch2yn61 ror Wilkinson, Jonathan M. https://orcid.org/0000-0002-6906-4999 Met Office https://ror.org/01ch2yn61 ror Field, Paul R. https://orcid.org/0000-0001-8528-0088 University of Leeds https://ror.org/024mrxd33 ror Met Office https://ror.org/01ch2yn61 ror Murray, Benjamin J. https://orcid.org/0000-0002-8198-8131 University of Leeds https://ror.org/024mrxd33 ror Carslaw, Ken S. https://orcid.org/0000-0002-6800-154X University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: The European Union’ Seventh Framework Programme FP7/2007-797 2013, The European Research Council Grant numbers: 603445, 240449, 648661 Publication date: 2018 Resource language: English Metadata language: English Research project title: BACCHUS, ICE, MarineIce Publisher: University of Leeds Contact email: eejvt@leeds.ac.uk Last Modified: 08 Aug 2024 14:23

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