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Microphysics of Antarctic Clouds (MAC): NAME dispersion footprints model plots

Latest Data Update: 2016-02-16
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2016-07-11
Download Stats: last 12 months
Dataset Size: 739 Files | 123MB


Microphysics of Antarctic Clouds (MAC) is a active NERC (Natural Environment Research Council) funded project (NE/K01305X/1).

This dataset collection contains NAME dispersion footprints model plots.

The largest uncertainties in future climate predictions highlighted by the Intergovernmental Panel on Climate change (IPCC 2007) arise from our lack of knowledge of the interaction of clouds with solar and terrestrial radiation (Dufresene & Bony, 2008). In Antarctica clouds play a major role in determining the continent's ice sheet radiation budget, its surface mass balance and ozone climatology. However in spite of this there are few in situ measurements of cloud properties, aerosol numbers, Cloud Condensation Nuclei (CCN) or Ice Nuclei (IN) with the main focus being on remote sensing data sets (see the review by Bromwich et al 2012). As a result the skill in climate and forecast models at high latitudes is significantly poorer than at mid latitudes. In this project a more representative of the Antarctic continent's coastal region was used. It is in this coastal region that clouds will have the biggest impact on the climate as in the interior of the continent the total cloud cover is less (Lachlan-Cope 2010) and those clouds that exist are more tenuous. To achieve this flights were conducted from the Halley research station.

Citable as:  Fleming, Z.L. (2016): Microphysics of Antarctic Clouds (MAC): NAME dispersion footprints model plots. Centre for Environmental Data Analysis, date of citation.
Abbreviation: Not defined
Keywords: MAC, aircraft, CCN, cloud, Antartic, NAME dispersion footprints


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Process overview

This dataset was generated by the computation detailed below.

NAME dispersion model footprints


Atmospheric dispersion model footprints computed at the University of Leicester for various projects using the the Met Office's Numerical Atmospheric-dispersion Modelling Environment (NAME)

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