Simulation of Arctic Thin Ice Clouds with Canadian Regional Climate Model Version 6: Verification against CloudSat-CALIPSO

Polar clouds are, as a consequence of the paucity of in situ observations, poorly understood compared to their lower latitude analogs, yet highly climate-sensitive through thermal radiation emission. The prevalence of Thin Ice Clouds (TIC) dominates in cold Polar Regions and the Upper Troposphere Lo...

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Published in:Atmosphere
Main Authors: Housseyni Sankaré, Jean-Pierre Blanchet, René Laprise, Norman T. O’Neill
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2022
Subjects:
Online Access:https://doi.org/10.3390/atmos13020187
https://doaj.org/article/9b5853e6b7b04223b82758bca1350f87
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spelling ftdoajarticles:oai:doaj.org/article:9b5853e6b7b04223b82758bca1350f87 2023-05-15T14:53:41+02:00 Simulation of Arctic Thin Ice Clouds with Canadian Regional Climate Model Version 6: Verification against CloudSat-CALIPSO Housseyni Sankaré Jean-Pierre Blanchet René Laprise Norman T. O’Neill 2022-01-01T00:00:00Z https://doi.org/10.3390/atmos13020187 https://doaj.org/article/9b5853e6b7b04223b82758bca1350f87 EN eng MDPI AG https://www.mdpi.com/2073-4433/13/2/187 https://doaj.org/toc/2073-4433 doi:10.3390/atmos13020187 2073-4433 https://doaj.org/article/9b5853e6b7b04223b82758bca1350f87 Atmosphere, Vol 13, Iss 187, p 187 (2022) CRCM6 CloudSat-CALIPSO thin ice cloud radiative effect cloud optical proprieties Arctic Meteorology. Climatology QC851-999 article 2022 ftdoajarticles https://doi.org/10.3390/atmos13020187 2022-12-31T15:11:16Z Polar clouds are, as a consequence of the paucity of in situ observations, poorly understood compared to their lower latitude analogs, yet highly climate-sensitive through thermal radiation emission. The prevalence of Thin Ice Clouds (TIC) dominates in cold Polar Regions and the Upper Troposphere Lower Stratosphere (UTLS) altitudes. They can be grouped into 2 broad categories. The first thin ice cloud type (TIC1) is made up of high concentrations of small, non-precipitating ice crystals. The second type (TIC2) is composed of relatively small concentrations of larger, precipitating ice crystals. In this study, we investigate the ability of a developmental version of the Canadian Regional Climate Model (CRCM6) in simulating cold polar-night clouds over the Arctic Ocean, a remote region that is critical to atmospheric circulation reaching out to the mid-latitudes. The results show that, relative to CloudSat-CALIPSO vertical profile products, CRCM6 simulates high-latitude and low spatial frequency variations of Ice Water Content (IWC), effective radius (re) and cooling rates reasonably well with only small to moderate wet and dry biases. The model can also simulate cloud type, location, and temporal occurrence effectively. As well, it successfully simulated higher altitude TIC1 clouds whose small size evaded CloudSat detection while being visible to CALIPSO. Article in Journal/Newspaper Arctic Arctic Ocean polar night Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Atmosphere 13 2 187
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic CRCM6
CloudSat-CALIPSO
thin ice cloud
radiative effect
cloud optical proprieties
Arctic
Meteorology. Climatology
QC851-999
spellingShingle CRCM6
CloudSat-CALIPSO
thin ice cloud
radiative effect
cloud optical proprieties
Arctic
Meteorology. Climatology
QC851-999
Housseyni Sankaré
Jean-Pierre Blanchet
René Laprise
Norman T. O’Neill
Simulation of Arctic Thin Ice Clouds with Canadian Regional Climate Model Version 6: Verification against CloudSat-CALIPSO
topic_facet CRCM6
CloudSat-CALIPSO
thin ice cloud
radiative effect
cloud optical proprieties
Arctic
Meteorology. Climatology
QC851-999
description Polar clouds are, as a consequence of the paucity of in situ observations, poorly understood compared to their lower latitude analogs, yet highly climate-sensitive through thermal radiation emission. The prevalence of Thin Ice Clouds (TIC) dominates in cold Polar Regions and the Upper Troposphere Lower Stratosphere (UTLS) altitudes. They can be grouped into 2 broad categories. The first thin ice cloud type (TIC1) is made up of high concentrations of small, non-precipitating ice crystals. The second type (TIC2) is composed of relatively small concentrations of larger, precipitating ice crystals. In this study, we investigate the ability of a developmental version of the Canadian Regional Climate Model (CRCM6) in simulating cold polar-night clouds over the Arctic Ocean, a remote region that is critical to atmospheric circulation reaching out to the mid-latitudes. The results show that, relative to CloudSat-CALIPSO vertical profile products, CRCM6 simulates high-latitude and low spatial frequency variations of Ice Water Content (IWC), effective radius (re) and cooling rates reasonably well with only small to moderate wet and dry biases. The model can also simulate cloud type, location, and temporal occurrence effectively. As well, it successfully simulated higher altitude TIC1 clouds whose small size evaded CloudSat detection while being visible to CALIPSO.
format Article in Journal/Newspaper
author Housseyni Sankaré
Jean-Pierre Blanchet
René Laprise
Norman T. O’Neill
author_facet Housseyni Sankaré
Jean-Pierre Blanchet
René Laprise
Norman T. O’Neill
author_sort Housseyni Sankaré
title Simulation of Arctic Thin Ice Clouds with Canadian Regional Climate Model Version 6: Verification against CloudSat-CALIPSO
title_short Simulation of Arctic Thin Ice Clouds with Canadian Regional Climate Model Version 6: Verification against CloudSat-CALIPSO
title_full Simulation of Arctic Thin Ice Clouds with Canadian Regional Climate Model Version 6: Verification against CloudSat-CALIPSO
title_fullStr Simulation of Arctic Thin Ice Clouds with Canadian Regional Climate Model Version 6: Verification against CloudSat-CALIPSO
title_full_unstemmed Simulation of Arctic Thin Ice Clouds with Canadian Regional Climate Model Version 6: Verification against CloudSat-CALIPSO
title_sort simulation of arctic thin ice clouds with canadian regional climate model version 6: verification against cloudsat-calipso
publisher MDPI AG
publishDate 2022
url https://doi.org/10.3390/atmos13020187
https://doaj.org/article/9b5853e6b7b04223b82758bca1350f87
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
polar night
genre_facet Arctic
Arctic Ocean
polar night
op_source Atmosphere, Vol 13, Iss 187, p 187 (2022)
op_relation https://www.mdpi.com/2073-4433/13/2/187
https://doaj.org/toc/2073-4433
doi:10.3390/atmos13020187
2073-4433
https://doaj.org/article/9b5853e6b7b04223b82758bca1350f87
op_doi https://doi.org/10.3390/atmos13020187
container_title Atmosphere
container_volume 13
container_issue 2
container_start_page 187
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