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...
Published in: | Atmosphere |
---|---|
Main Authors: | , , , , , , |
Other Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2019
|
Subjects: | |
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 |
id |
ftuniversailles:oai:HAL:insu-02202892v1 |
---|---|
record_format |
openpolar |
spelling |
ftuniversailles:oai:HAL:insu-02202892v1 2023-11-05T03:38:53+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 ftuniversailles https://doi.org/10.3390/atmos10080433 2023-10-10T22:44:43Z 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 Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQ Atmosphere 10 8 433 |
institution |
Open Polar |
collection |
Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQ |
op_collection_id |
ftuniversailles |
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 |
_version_ |
1781694645696200704 |