Hide metadata

dc.date.accessioned2022-08-05T16:56:52Z
dc.date.available2022-08-05T16:56:52Z
dc.date.created2022-07-25T15:49:33Z
dc.date.issued2022
dc.identifier.citationCarlsen, Tim Hanssen, Ingrid Margrethe Vestnes Gausa, Michael Alfred Storelvmo, Trude . Observations of cold-cloud properties in the Norwegian Arctic using ground-based and spaceborne lidar. Atmospheric Chemistry and Physics (ACP). 2022, 22(14), 9537-9551
dc.identifier.urihttp://hdl.handle.net/10852/94814
dc.description.abstractAbstract. The role of clouds in the surface radiation budget is particularly complex in the rapidly changing Arctic. However, despite their importance, long-term observations of Arctic clouds are relatively sparse. Here, we present observations of cold clouds based on 7 years (2011–2017) of ground-based lidar observations at the Arctic Lidar Observatory for Middle Atmosphere Research (ALOMAR) in Andenes in the Norwegian Arctic. In two case studies, we assess (1) the agreement between a co-located cirrus cloud observations from the ground-based lidar and the spaceborne lidar aboard the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite and (2) the ground-based lidar's capability to determine the cloud phase in mixed-phase clouds from depolarization measurements. We then compute multiyear statistics of cold clouds from both platforms with respect to their occurrence, cloud top and base height, cloud top temperature, and thermodynamic phase for the 2011–2017 period. We find that satellite- and ground-based observations agree well with respect to the coincident cirrus measurement and that the vertical phase distribution within a liquid-topped mixed-phase cloud could be identified from depolarization measurements. On average, 8 % of all satellite profiles were identified as single-layer cold clouds with no apparent seasonal differences. The average cloud top and base heights, combining the ground-based and satellite measurements, are 9.1 and 6.9 km, respectively, resulting in an average thickness of 2.2 km. Seasonal differences between the average top and base heights are on the order of 1–2 km and are largest when comparing fall (highest) and spring (lowest). However, seasonal variations are small compared with the observed day-to-day variability. Cloud top temperatures agree well between both platforms, with warmer cloud top temperatures in summer. The presented study demonstrates the capabilities of long-term cloud observations in the Norwegian Arctic from the ground-based lidar at Andenes.
dc.languageEN
dc.publisherCopernicus GmbH
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleObservations of cold-cloud properties in the Norwegian Arctic using ground-based and spaceborne lidar
dc.title.alternativeENEngelskEnglishObservations of cold-cloud properties in the Norwegian Arctic using ground-based and spaceborne lidar
dc.typeJournal article
dc.creator.authorCarlsen, Tim
dc.creator.authorHanssen, Ingrid Margrethe Vestnes
dc.creator.authorGausa, Michael Alfred
dc.creator.authorStorelvmo, Trude
cristin.unitcode185,15,22,70
cristin.unitnameMeteorologi og oseanografi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.cristin2039448
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Atmospheric Chemistry and Physics (ACP)&rft.volume=22&rft.spage=9537&rft.date=2022
dc.identifier.jtitleAtmospheric Chemistry and Physics (ACP)
dc.identifier.volume22
dc.identifier.issue14
dc.identifier.startpage9537
dc.identifier.endpage9551
dc.identifier.doihttps://doi.org/10.5194/acp-22-9537-2022
dc.identifier.urnURN:NBN:no-97337
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn1680-7316
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/94814/1/acp-22-9537-2022.pdf
dc.type.versionPublishedVersion


Files in this item

Appears in the following Collection

Hide metadata

Attribution 4.0 International
This item's license is: Attribution 4.0 International