Simulating Arctic Ice Clouds during Spring Using an Advanced Ice Cloud Microphysics in the WRF Model
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 crystal...
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doaj-bf2f28af2a8c4f8a95a3ad230fd34fea2020-11-24T20:48:10ZengMDPI AGAtmosphere2073-44332019-07-0110843310.3390/atmos10080433atmos10080433Simulating Arctic Ice Clouds during Spring Using an Advanced Ice Cloud Microphysics in the WRF ModelSetigui Aboubacar Keita0Eric Girard1Jean-Christophe Raut2Jacques Pelon3Jean-Pierre Blanchet4Olivier Lemoine5Tatsuo Onishi6ESCER Centre, Department of Earth and Atmospheric Sciences, Université du Québec à Montréal, Montréal, QC H3C 3P8, CanadaESCER Centre, Department of Earth and Atmospheric Sciences, Université du Québec à Montréal, Montréal, QC H3C 3P8, CanadaESCER Centre, Department of Earth and Atmospheric Sciences, Université du Québec à Montréal, Montréal, QC H3C 3P8, CanadaLATMOS/IPSL (Laboratoire Atmosphères, Milieux, Observations Spatiales/Institut Pierre Simon Laplace), Sorbonne Université, UVSQ (Université de Versailles-St Quentin), CNRS (Comité National de la Recherche Scientifique), 75052 Paris, FranceESCER Centre, Department of Earth and Atmospheric Sciences, Université du Québec à Montréal, Montréal, QC H3C 3P8, CanadaESCER Centre, Department of Earth and Atmospheric Sciences, Université du Québec à Montréal, Montréal, QC H3C 3P8, CanadaLATMOS/IPSL (Laboratoire Atmosphères, Milieux, Observations Spatiales/Institut Pierre Simon Laplace), Sorbonne Université, UVSQ (Université de Versailles-St Quentin), CNRS (Comité National de la Recherche Scientifique), 75052 Paris, FranceTwo 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.https://www.mdpi.com/2073-4433/10/8/433Arctic ice cloudscloud microphysicsnumerical modelingWRFclassical nucleation theoryice nuclei acidification |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Setigui Aboubacar Keita Eric Girard Jean-Christophe Raut Jacques Pelon Jean-Pierre Blanchet Olivier Lemoine Tatsuo Onishi |
spellingShingle |
Setigui Aboubacar Keita Eric Girard Jean-Christophe Raut Jacques Pelon Jean-Pierre Blanchet Olivier Lemoine Tatsuo Onishi Simulating Arctic Ice Clouds during Spring Using an Advanced Ice Cloud Microphysics in the WRF Model Atmosphere Arctic ice clouds cloud microphysics numerical modeling WRF classical nucleation theory ice nuclei acidification |
author_facet |
Setigui Aboubacar Keita Eric Girard Jean-Christophe Raut Jacques Pelon Jean-Pierre Blanchet Olivier Lemoine Tatsuo Onishi |
author_sort |
Setigui Aboubacar Keita |
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 |
MDPI AG |
series |
Atmosphere |
issn |
2073-4433 |
publishDate |
2019-07-01 |
description |
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. |
topic |
Arctic ice clouds cloud microphysics numerical modeling WRF classical nucleation theory ice nuclei acidification |
url |
https://www.mdpi.com/2073-4433/10/8/433 |
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