Simulating Arctic Ice Clouds during Spring Using an Advanced Ice Cloud Microphysics in the WRF Model

International audience Two Types of Ice Clouds (TICs) have been characterized in the Arctic during the polar night and early spring. TIC-1 are composed by non-precipitating small ice crystals of less than 30 µm in diameter. The second type, TIC-2, are characterized by a low concentration of large pr...

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Published in:Atmosphere
Main Authors: Keita, Setigui A., Girard, Eric, Raut, Jean-Christophe, Pelon, Jacques, Blanchet, Jean-Pierre, Lemoine, Olivier, Onishi, Tatsuo
Other Authors: Centre ESCER, Université du Québec à Montréal = University of Québec in Montréal (UQAM), TROPO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Département des sciences de la terre et de l'atmosphère Montréal (SCTA)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2019
Subjects:
WRF
Online Access:https://insu.hal.science/insu-02202892
https://insu.hal.science/insu-02202892/document
https://insu.hal.science/insu-02202892/file/atmosphere-10-00433-v2.pdf
https://doi.org/10.3390/atmos10080433
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spelling ftinsu:oai:HAL:insu-02202892v1 2023-11-05T03:38:52+01:00 Simulating Arctic Ice Clouds during Spring Using an Advanced Ice Cloud Microphysics in the WRF Model Keita, Setigui A. Girard, Eric Raut, Jean-Christophe Pelon, Jacques Blanchet, Jean-Pierre Lemoine, Olivier Onishi, Tatsuo Centre ESCER Université du Québec à Montréal = University of Québec in Montréal (UQAM) TROPO - LATMOS Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Département des sciences de la terre et de l'atmosphère Montréal (SCTA) 2019-08 https://insu.hal.science/insu-02202892 https://insu.hal.science/insu-02202892/document https://insu.hal.science/insu-02202892/file/atmosphere-10-00433-v2.pdf https://doi.org/10.3390/atmos10080433 en eng HAL CCSD MDPI info:eu-repo/semantics/altIdentifier/doi/10.3390/atmos10080433 insu-02202892 https://insu.hal.science/insu-02202892 https://insu.hal.science/insu-02202892/document https://insu.hal.science/insu-02202892/file/atmosphere-10-00433-v2.pdf doi:10.3390/atmos10080433 info:eu-repo/semantics/OpenAccess ISSN: 2073-4433 EISSN: 2073-4433 Atmosphere https://insu.hal.science/insu-02202892 Atmosphere, 2019, 10 (8), art. 433 (29 p.). ⟨10.3390/atmos10080433⟩ Arctic ice clouds cloud microphysics numerical modeling WRF classical nucleation theory ice nuclei acidification [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology info:eu-repo/semantics/article Journal articles 2019 ftinsu https://doi.org/10.3390/atmos10080433 2023-10-11T16:37:25Z International audience Two Types of Ice Clouds (TICs) have been characterized in the Arctic during the polar night and early spring. TIC-1 are composed by non-precipitating small ice crystals of less than 30 µm in diameter. The second type, TIC-2, are characterized by a low concentration of large precipitating ice crystals (>30 µm). Here, we evaluate the Weather Research and Forecasting (WRF) model performance both in space and time after implementing a parameterization based on a stochastic approach dedicated to the simulation of ice clouds in the Arctic. Well documented reference cases provided us in situ data from the spring of 2008 Indirect and Semi-Direct Aerosol Campaign (ISDAC) campaign over Alaska. Simulations of the microphysical properties of the TIC-2 clouds on 15 and 25 April 2008 (polluted or acidic cases) and TIC-1 clouds on non-polluted cases are compared to DARDAR (raDAR/liDAR) satellite products. Our results show that the stochastic approach based on the classical nucleation theory, with the appropriate contact angle, is better than the original scheme in WRF model to represent TIC-1 and TIC-2 properties (ice crystal concentration and size) in response to the IN acidification. Article in Journal/Newspaper Arctic polar night Alaska Institut national des sciences de l'Univers: HAL-INSU Atmosphere 10 8 433
institution Open Polar
collection Institut national des sciences de l'Univers: HAL-INSU
op_collection_id ftinsu
language English
topic Arctic ice clouds
cloud microphysics
numerical modeling
WRF
classical nucleation theory
ice nuclei acidification
[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]
[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology
spellingShingle Arctic ice clouds
cloud microphysics
numerical modeling
WRF
classical nucleation theory
ice nuclei acidification
[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]
[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology
Keita, Setigui A.
Girard, Eric
Raut, Jean-Christophe
Pelon, Jacques
Blanchet, Jean-Pierre
Lemoine, Olivier
Onishi, Tatsuo
Simulating Arctic Ice Clouds during Spring Using an Advanced Ice Cloud Microphysics in the WRF Model
topic_facet Arctic ice clouds
cloud microphysics
numerical modeling
WRF
classical nucleation theory
ice nuclei acidification
[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]
[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology
description International audience Two Types of Ice Clouds (TICs) have been characterized in the Arctic during the polar night and early spring. TIC-1 are composed by non-precipitating small ice crystals of less than 30 µm in diameter. The second type, TIC-2, are characterized by a low concentration of large precipitating ice crystals (>30 µm). Here, we evaluate the Weather Research and Forecasting (WRF) model performance both in space and time after implementing a parameterization based on a stochastic approach dedicated to the simulation of ice clouds in the Arctic. Well documented reference cases provided us in situ data from the spring of 2008 Indirect and Semi-Direct Aerosol Campaign (ISDAC) campaign over Alaska. Simulations of the microphysical properties of the TIC-2 clouds on 15 and 25 April 2008 (polluted or acidic cases) and TIC-1 clouds on non-polluted cases are compared to DARDAR (raDAR/liDAR) satellite products. Our results show that the stochastic approach based on the classical nucleation theory, with the appropriate contact angle, is better than the original scheme in WRF model to represent TIC-1 and TIC-2 properties (ice crystal concentration and size) in response to the IN acidification.
author2 Centre ESCER
Université du Québec à Montréal = University of Québec in Montréal (UQAM)
TROPO - LATMOS
Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Département des sciences de la terre et de l'atmosphère Montréal (SCTA)
format Article in Journal/Newspaper
author Keita, Setigui A.
Girard, Eric
Raut, Jean-Christophe
Pelon, Jacques
Blanchet, Jean-Pierre
Lemoine, Olivier
Onishi, Tatsuo
author_facet Keita, Setigui A.
Girard, Eric
Raut, Jean-Christophe
Pelon, Jacques
Blanchet, Jean-Pierre
Lemoine, Olivier
Onishi, Tatsuo
author_sort Keita, Setigui A.
title Simulating Arctic Ice Clouds during Spring Using an Advanced Ice Cloud Microphysics in the WRF Model
title_short Simulating Arctic Ice Clouds during Spring Using an Advanced Ice Cloud Microphysics in the WRF Model
title_full Simulating Arctic Ice Clouds during Spring Using an Advanced Ice Cloud Microphysics in the WRF Model
title_fullStr Simulating Arctic Ice Clouds during Spring Using an Advanced Ice Cloud Microphysics in the WRF Model
title_full_unstemmed Simulating Arctic Ice Clouds during Spring Using an Advanced Ice Cloud Microphysics in the WRF Model
title_sort simulating arctic ice clouds during spring using an advanced ice cloud microphysics in the wrf model
publisher HAL CCSD
publishDate 2019
url https://insu.hal.science/insu-02202892
https://insu.hal.science/insu-02202892/document
https://insu.hal.science/insu-02202892/file/atmosphere-10-00433-v2.pdf
https://doi.org/10.3390/atmos10080433
genre Arctic
polar night
Alaska
genre_facet Arctic
polar night
Alaska
op_source ISSN: 2073-4433
EISSN: 2073-4433
Atmosphere
https://insu.hal.science/insu-02202892
Atmosphere, 2019, 10 (8), art. 433 (29 p.). ⟨10.3390/atmos10080433⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.3390/atmos10080433
insu-02202892
https://insu.hal.science/insu-02202892
https://insu.hal.science/insu-02202892/document
https://insu.hal.science/insu-02202892/file/atmosphere-10-00433-v2.pdf
doi:10.3390/atmos10080433
op_rights info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.3390/atmos10080433
container_title Atmosphere
container_volume 10
container_issue 8
container_start_page 433
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