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Microphysics of Antarctic Clouds (MAC):in-situ airborne atmospheric measurements and NAME dispersion footprints model output. Microphysics of Antarctic Clouds (MAC) is an active NERC (Natural Environment Research Council) funded project (NE/K01305X/1). 

This dataset collection contains NAME dispersion footprints model plots. Aircraft data will be shortly arriving into the archive.

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.

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Dataset Collection

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Microphysics of Antarctic Clouds (MAC) project :in-situ airborne atmospheric measurements, model output and NAME dispersion footprints.

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Status: Not defined

Publication State: published

Abstract

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

This dataset collection contains NAME dispersion footprints model plots, model output and data in-situ observations from the British Antarctic Survey (BAS) Masin twin-otter aircraft.

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:Choularton, T.W.; Fleming, Z.L. (2016): Microphysics of Antarctic Clouds (MAC) project :in-situ airborne atmospheric measurements, model output and NAME dispersion footprints.. Centre for Environmental Data Analysis, date of citation. http://catalogue.ceda.ac.uk/uuid/43b756af495440ef8ab460d16926263f

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Cite this dataset as:

Choularton, T.W.; Fleming, Z.L. (2016): Microphysics of Antarctic Clouds (MAC) project :in-situ airborne atmospheric measurements, model output and NAME dispersion footprints.. Centre for Environmental Data Analysis, date of citation. http://catalogue.ceda.ac.uk/uuid/43b756af495440ef8ab460d16926263f

BibTeX RIS

Abbreviation: Not defined

Keywords: MAC, aircraft, CCN, cloud, Antartic, NAME dispersion footprints
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Details

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Coverage

Temporal Range

Start time:

2015-09-30T23:00:00

End time:

2015-12-31T21:00:00

Geographic Extent

-65.0000°

-180.0000°

180.0000°

-90.0000°

Related parties

Authors (2)

Publishers (1)

(https://www.ncas.ac.uk)

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