Aerosol–radiation interaction modelling using online coupling between the WRF 3.7.1 meteorological model and the CHIMERE 2016 chemistry-transport model, through the OASIS3-MCT coupler

The presence of airborne aerosols affects the meteorology as it induces a perturbation in the radiation budget, the number of cloud condensation nuclei and the cloud micro-physics. Those effects are difficult to model at regional scale as regional chemistry-transport models are usually driven by a d...

Full description

Saved in:
Bibliographic Details
Published in:Geoscientific Model Development Vol. 10; no. 2; pp. 927 - 944
Main Authors: Briant, Régis, Tuccella, Paolo, Deroubaix, Adrien, Khvorostyanov, Dmitry, Menut, Laurent, Mailler, Sylvain, Turquety, Solène
Format: Journal Article
Language:English
Published: Katlenburg-Lindau Copernicus GmbH 23.02.2017
European Geosciences Union
Copernicus Publications
Subjects:
ISSN:1991-9603, 1991-959X, 1991-962X, 1991-9603, 1991-962X, 1991-959X
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract The presence of airborne aerosols affects the meteorology as it induces a perturbation in the radiation budget, the number of cloud condensation nuclei and the cloud micro-physics. Those effects are difficult to model at regional scale as regional chemistry-transport models are usually driven by a distinct meteorological model or data. In this paper, the coupling of the CHIMERE chemistry-transport model with the WRF meteorological model using the OASIS3-MCT coupler is presented. WRF meteorological fields along with CHIMERE aerosol optical properties are exchanged through the coupler at a high frequency in order to model the aerosol–radiation interactions. The WRF-CHIMERE online model has a higher computational burden than both models run separately in offline mode (up to 42 % higher). This is mainly due to some additional computations made within the models such as more frequent calls to meteorology treatment routines or calls to optical properties computation routines. On the other hand, the overall time required to perform the OASIS3-MCT exchanges is not significant compared to the total duration of the simulations. The impact of the coupling is evaluated on a case study over Europe, northern Africa, the Middle East and western Asia during the summer of 2012, through comparisons of the offline and two online simulations (with and without the aerosol optical properties feedback) to observations of temperature, aerosol optical depth (AOD) and surface PM10 (particulate matter with diameters lower than 10 µm) concentrations. The result shows that using the optical properties feedback induces a radiative forcing (average forcing of −4.8 W m−2) which creates a perturbation in the average surface temperatures over desert areas (up to 2.6° locally) along with an increase in both AOD and PM10 concentrations.
AbstractList The presence of airborne aerosols affects the meteorology as it induces a perturbation in the radiation budget, the number of cloud condensation nuclei and the cloud micro-physics. Those effects are difficult to model at regional scale as regional chemistry-transport models are usually driven by a distinct meteorological model or data. In this paper, the coupling of the CHIMERE chemistry-transport model with the WRF meteorological model using the OASIS3-MCT coupler is presented. WRF meteorological fields along with CHIMERE aerosol optical properties are exchanged through the coupler at a high frequency in order to model the aerosol-radiation interactions. The WRF-CHIMERE online model has a higher computational burden than both models run separately in offline mode (up to 42 % higher). This is mainly due to some additional computations made within the models such as more frequent calls to meteorology treatment routines or calls to optical properties computation routines. On the other hand, the overall time required to perform the OASIS3-MCT exchanges is not significant compared to the total duration of the simulations. The impact of the coupling is evaluated on a case study over Europe, northern Africa, the Middle East and western Asia during the summer of 2012, through comparisons of the offline and two online simulations (with and without the aerosol optical properties feedback) to observations of temperature, aerosol optical depth (AOD) and surface PM.sub.10 (particulate matter with diameters lower than 10 µm) concentrations. The result shows that using the optical properties feedback induces a radiative forcing (average forcing of -4.8 W m.sup.-2) which creates a perturbation in the average surface temperatures over desert areas (up to 2.6° locally) along with an increase in both AOD and PM.sub.10 concentrations.
The presence of airborne aerosols affects the meteorology as it induces a perturbation in the radiation budget, the number of cloud condensation nuclei and the cloud micro-physics. Those effects are difficult to model at regional scale as regional chemistry-transport models are usually driven by a distinct meteorological model or data. In this paper, the coupling of the CHIMERE chemistry-transport model with the WRF meteorological model using the OASIS3-MCT coupler is presented. WRF meteorological fields along with CHIMERE aerosol optical properties are exchanged through the coupler at a high frequency in order to model the aerosol–radiation interactions. The WRF-CHIMERE online model has a higher computational burden than both models run separately in offline mode (up to 42 % higher). This is mainly due to some additional computations made within the models such as more frequent calls to meteorology treatment routines or calls to optical properties computation routines. On the other hand, the overall time required to perform the OASIS3-MCT exchanges is not significant compared to the total duration of the simulations. The impact of the coupling is evaluated on a case study over Europe, northern Africa, the Middle East and western Asia during the summer of 2012, through comparisons of the offline and two online simulations (with and without the aerosol optical properties feedback) to observations of temperature, aerosol optical depth (AOD) and surface PM10 (particulate matter with diameters lower than 10 µm) concentrations. The result shows that using the optical properties feedback induces a radiative forcing (average forcing of −4.8 W m−2) which creates a perturbation in the average surface temperatures over desert areas (up to 2.6° locally) along with an increase in both AOD and PM10 concentrations.
The presence of airborne aerosols affects the meteorology as it induces a perturbation in the radiation budget, the number of cloud condensation nuclei and the cloud micro-physics. Those effects are difficult to model at regional scale as regional chemistry-transport models are usually driven by a distinct meteorological model or data. In this paper, the coupling of the CHIMERE chemistry-transport model with the WRF meteorological model using the OASIS3-MCT coupler is presented. WRF meteorological fields along with CHIMERE aerosol optical properties are exchanged through the coupler at a high frequency in order to model the aerosol-radiation interactions. The WRF-CHIMERE online model has a higher computational burden than both models run separately in offline mode (up to 42% higher). This is mainly due to some additional computations made within the models such as more frequent calls to meteorology treatment routines or calls to optical properties computation routines. On the other hand, the overall time required to perform the OASIS3-MCT exchanges is not significant compared to the total duration of the simulations. The impact of the coupling is evaluated on a case study over Europe, northern Africa, the Middle East and western Asia during the summer of 2012, through comparisons of the offline and two online simulations (with and without the aerosol optical properties feedback) to observations of temperature, aerosol optical depth (AOD) and surface PM10 (particulate matter with diameters lower than 10[mu]m) concentrations. The result shows that using the optical properties feedback induces a radiative forcing (average forcing of -4.8W m-2) which creates a perturbation in the average surface temperatures over desert areas (up to 2.6[deg] locally) along with an increase in both AOD and PM10 concentrations.
The presence of airborne aerosols affects the meteorology as it induces a perturbation in the radiation budget, the number of cloud condensation nuclei and the cloud micro-physics. Those effects are difficult to model at regional scale as regional chemistry-transport models are usually driven by a distinct meteorological model or data. In this paper, the coupling of the CHIMERE chemistry-transport model with the WRF meteorological model using the OASIS3-MCT coupler is presented. WRF meteorological fields along with CHIMERE aerosol optical properties are exchanged through the coupler at a high frequency in order to model the aerosol–radiation interactions. The WRF-CHIMERE online model has a higher computational burden than both models run separately in offline mode (up to 42 % higher). This is mainly due to some additional computations made within the models such as more frequent calls to meteorology treatment routines or calls to optical properties computation routines. On the other hand, the overall time required to perform the OASIS3-MCT exchanges is not significant compared to the total duration of the simulations. The impact of the coupling is evaluated on a case study over Europe, northern Africa, the Middle East and western Asia during the summer of 2012, through comparisons of the offline and two online simulations (with and without the aerosol optical properties feedback) to observations of temperature, aerosol optical depth (AOD) and surface PM10 (particulate matter with diameters lower than 10 µm) concentrations. The result shows that using the optical properties feedback induces a radiative forcing (average forcing of -4.8 Wm-2) which creates a perturbation in the average surface temperatures over desert areas (up to 2.6∘ locally) along with an increase in both AOD and PM10 concentrations.
The presence of airborne aerosols affects the meteorology as it induces a perturbation in the radiation budget, the number of cloud condensation nuclei and the cloud micro-physics. Those effects are difficult to model at regional scale as regional chemistry-transport models are usually driven by a distinct meteorological model or data. In this paper, the coupling of the CHIMERE chemistry-transport model with the WRF meteorological model using the OASIS3-MCT coupler is presented. WRF meteorological fields along with CHIMERE aerosol optical properties are exchanged through the coupler at a high frequency in order to model the aerosol-radiation interactions. The WRF-CHIMERE online model has a higher computational burden than both models run separately in offline mode (up to 42 % higher). This is mainly due to some additional computations made within the models such as more frequent calls to meteorology treatment routines or calls to optical properties computation routines. On the other hand, the overall time required to perform the OASIS3-MCT exchanges is not significant compared to the total duration of the simulations. The impact of the coupling is evaluated on a case study over Europe, northern Africa, the Middle East and western Asia during the summer of 2012, through comparisons of the offline and two online simulations (with and without the aerosol optical properties feedback) to observations of temperature, aerosol optical depth (AOD) and surface PM10 (particulate matter with diameters lower than 10 µm) concentrations. The result shows that using the optical properties feedback induces a radiative forcing (average forcing of -4.8 W m-2) which creates a perturbation in the average surface temperatures over desert areas (up to 2.6° locally) along with an increase in both AOD and PM10 concentrations.
Audience Academic
Author Khvorostyanov, Dmitry
Tuccella, Paolo
Mailler, Sylvain
Menut, Laurent
Briant, Régis
Deroubaix, Adrien
Turquety, Solène
Author_xml – sequence: 1
  givenname: Régis
  surname: Briant
  fullname: Briant, Régis
– sequence: 2
  givenname: Paolo
  surname: Tuccella
  fullname: Tuccella, Paolo
– sequence: 3
  givenname: Adrien
  orcidid: 0000-0003-4464-7802
  surname: Deroubaix
  fullname: Deroubaix, Adrien
– sequence: 4
  givenname: Dmitry
  surname: Khvorostyanov
  fullname: Khvorostyanov, Dmitry
– sequence: 5
  givenname: Laurent
  orcidid: 0000-0001-9776-0812
  surname: Menut
  fullname: Menut, Laurent
– sequence: 6
  givenname: Sylvain
  orcidid: 0000-0002-4287-713X
  surname: Mailler
  fullname: Mailler, Sylvain
– sequence: 7
  givenname: Solène
  surname: Turquety
  fullname: Turquety, Solène
BackLink https://insu.hal.science/insu-03727082$$DView record in HAL
BookMark eNp9ktFu0zAUhiM0JLbBNbeRuAKRznbs2Lmsqo5W6jSpHeLScm0n9ZTaxXaA3fEOPA2vw5PgJiAoAhQpOTn6_t_28X-RnVlndZY9h2BCYI2v2r0qIChqRAsEIH2UncO6hkVdgfLst_pJdhHCPQBVTSt6nn2dau-C6759_uKFMiIaZ3Njo_ZCDvXeKd11xrZ5H45vZ9OPzqXrD0N3q-NHrW0edzp_t77OywmdwHyvo3beda41UnSjSS6sGrDZYnkzX8_ztM0qlzu9NyH6hyJ6YcPB-TjirxPrXd_uBs3tdLPclMXN7G5cWvun2eNGdEE_-_G9zN5ez-9mi2J1-2Y5m64KSTCIhRJUllKQBhLUMMQYakRVCV1VDSYMII3hFioqsKiVALiWmGAlGIOq1FgSVV5my9FXOXHPD97shX_gThg-NJxvufDRyE5zVooabWUjmFKYIrXFiOJ6qxkBCqOaJa9Xo9dOdCdWi-mKGxt6DkqKKGDoA0zwixE-ePe-1yHye9d7m87KEYaYEABJ_T8KMorSjDFlv6hWpH0a27g0bZkGL_kUM1QCBnCVqMlfqPSodEcyxa0xqX8ieHkiSEzUn2Ir-hD4crM-ZcnIyhS44HXDpYlD3tIipuMQ8GOOecrxsU455sccJ93VH7qfg_uX4jtTu_Vs
CitedBy_id crossref_primary_10_3390_atmos10010020
crossref_primary_10_3390_atmos11101128
crossref_primary_10_5194_acp_19_5543_2019
crossref_primary_10_1016_j_renene_2024_120101
crossref_primary_10_5194_acp_19_14657_2019
crossref_primary_10_1007_s00521_021_05865_3
crossref_primary_10_1016_j_atmosres_2023_106963
crossref_primary_10_1029_2022JD037395
crossref_primary_10_5194_acp_22_13861_2022
crossref_primary_10_3390_atmos16060745
crossref_primary_10_1016_j_scitotenv_2020_142145
crossref_primary_10_1134_S1024856024700477
crossref_primary_10_3390_rs13091808
crossref_primary_10_5194_acp_25_997_2025
crossref_primary_10_5194_acp_25_93_2025
crossref_primary_10_1016_j_scitotenv_2024_175518
crossref_primary_10_3390_atmos11060565
crossref_primary_10_1016_j_atmosenv_2018_03_061
crossref_primary_10_3390_atmos14020224
crossref_primary_10_5194_acp_19_785_2019
crossref_primary_10_3390_atmos8120251
crossref_primary_10_3390_atmos13050763
crossref_primary_10_1016_j_jenvrad_2024_107416
crossref_primary_10_1016_j_atmosenv_2019_117042
crossref_primary_10_1175_JTECH_D_17_0173_1
crossref_primary_10_5194_acp_19_11911_2019
crossref_primary_10_3390_rs17020177
crossref_primary_10_5194_acp_21_7671_2021
crossref_primary_10_3390_rs17162829
crossref_primary_10_5194_acp_22_3251_2022
crossref_primary_10_3390_atmos12020288
crossref_primary_10_5194_acp_22_5265_2022
crossref_primary_10_1134_S1024856023040085
crossref_primary_10_1016_j_atmosenv_2023_119910
crossref_primary_10_1016_j_jastp_2020_105213
crossref_primary_10_1088_2515_7620_ac17f7
Cites_doi 10.1038/370450a0
10.1016/S0034-4257(98)00031-5
10.1177/1094342005056116
10.1016/S1352-2310(01)00451-4
10.1029/2003JD004067
10.1029/2007JD008922
10.5194/acp-6-613-2006
10.1016/j.atmosenv.2004.02.034
10.1002/jame.20015
10.5194/gmd-7-2531-2014
10.1177/1094342005056115
10.5194/acp-16-1219-2016
10.1029/2004JD004706
10.1023/A:1014980619462
10.1002/2014MS000324
10.5194/acp-15-6159-2015
10.1029/2000JD000053
10.2139/ssrn.2603176
10.1002/qj.49712152203
10.1016/j.atmosenv.2003.10.055
10.1002/2014JC010565
10.1002/jame.20038
10.2151/jmsj.87.895
10.1016/j.atmosenv.2012.01.041
10.1016/j.atmosenv.2005.04.027
10.5194/acp-15-8013-2015
10.1175/2008MWR2556.1
10.1007/s00382-011-1259-y
10.1029/2000JD900794
10.1002/2015JD023096
10.5194/acp-8-2895-2008
10.5194/acp-6-2273-2006
10.1002/2014GL061707
10.1007/s00382-011-1239-2
10.5194/gmd-5-299-2012
10.1029/2009JD012063
10.1029/2008JD009944
10.1007/s10546-005-9030-8
10.5194/gmd-3-87-2010
10.5194/acp-14-317-2014
10.5194/gmd-7-587-2014
10.1029/2003GB002199
10.5194/gmd-6-981-2013
10.1038/381681a0
10.1016/0004-6981(89)90153-4
10.1007/s00382-012-1636-1
10.1007/s00382-006-0158-0
10.5194/acp-9-8661-2009
10.1029/2001JD900133
10.5194/gmd-2016-196
10.1002/jame.20023
10.5194/acp-14-1999-2014
10.5194/acp-14-5233-2014
10.1023/A:1006415919030
10.5194/gmd-8-1509-2015
10.1175/MWR-D-14-00029.1
10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2
10.1016/j.atmosenv.2014.09.042
10.1002/jgrd.50712
10.5194/acp-6-3181-2006
10.1016/j.atmosenv.2014.08.072
10.1029/96JD03436
10.1029/2005JD006717
10.1029/2011JD016240
10.5194/acp-15-3303-2015
ContentType Journal Article
Copyright COPYRIGHT 2017 Copernicus GmbH
Copyright Copernicus GmbH 2017
2017. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Attribution
Copyright_xml – notice: COPYRIGHT 2017 Copernicus GmbH
– notice: Copyright Copernicus GmbH 2017
– notice: 2017. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: Attribution
DBID AAYXX
CITATION
ISR
7TG
7TN
7UA
8FD
8FE
8FG
ABJCF
ABUWG
AEUYN
AFKRA
AZQEC
BENPR
BFMQW
BGLVJ
BHPHI
BKSAR
C1K
CCPQU
DWQXO
F1W
H8D
H96
HCIFZ
KL.
L.G
L6V
L7M
M7S
PCBAR
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
PTHSS
1XC
VOOES
DOA
DOI 10.5194/gmd-10-927-2017
DatabaseName CrossRef
Gale In Context: Science
Meteorological & Geoastrophysical Abstracts
Oceanic Abstracts
Water Resources Abstracts
Technology Research Database
ProQuest SciTech Collection
ProQuest Technology Collection
Materials Science & Engineering Collection
ProQuest Central (Alumni)
ProQuest One Sustainability
ProQuest Central UK/Ireland
ProQuest Central Essentials - QC
ProQuest Central
Continental Europe Database
Technology Collection
Natural Science Collection
Earth, Atmospheric & Aquatic Science Collection
Environmental Sciences and Pollution Management
ProQuest One
ProQuest Central Korea
ASFA: Aquatic Sciences and Fisheries Abstracts
Aerospace Database
Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources
SciTech Premium Collection
Meteorological & Geoastrophysical Abstracts - Academic
Aquatic Science & Fisheries Abstracts (ASFA) Professional
ProQuest Engineering Collection
Advanced Technologies Database with Aerospace
Engineering Database
Earth, Atmospheric & Aquatic Science Database
ProQuest Central Premium
ProQuest One Academic (New)
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic (retired)
ProQuest One Academic UKI Edition
ProQuest Central China
Engineering Collection
Hyper Article en Ligne (HAL)
Hyper Article en Ligne (HAL) (Open Access)
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
Publicly Available Content Database
Aquatic Science & Fisheries Abstracts (ASFA) Professional
Technology Collection
Technology Research Database
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest Central China
Water Resources Abstracts
Environmental Sciences and Pollution Management
Earth, Atmospheric & Aquatic Science Collection
ProQuest Central
ProQuest One Applied & Life Sciences
Aerospace Database
ProQuest One Sustainability
ProQuest Engineering Collection
Meteorological & Geoastrophysical Abstracts
Oceanic Abstracts
Natural Science Collection
ProQuest Central Korea
ProQuest Central (New)
Advanced Technologies Database with Aerospace
Engineering Collection
Engineering Database
ProQuest One Academic Eastern Edition
Earth, Atmospheric & Aquatic Science Database
ProQuest Technology Collection
Continental Europe Database
ProQuest SciTech Collection
Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources
ProQuest One Academic UKI Edition
ASFA: Aquatic Sciences and Fisheries Abstracts
Materials Science & Engineering Collection
ProQuest One Academic
Meteorological & Geoastrophysical Abstracts - Academic
ProQuest One Academic (New)
DatabaseTitleList
CrossRef
Publicly Available Content Database

Publicly Available Content Database

Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: PIMPY
  name: Publicly Available Content Database
  url: http://search.proquest.com/publiccontent
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Geology
Chemistry
Physics
EISSN 1991-9603
1991-962X
1991-959X
EndPage 944
ExternalDocumentID oai_doaj_org_article_83a92bcfa8dd472db42749be850d4298
oai:HAL:insu-03727082v1
4317233111
A482308046
10_5194_gmd_10_927_2017
GeographicLocations France
Asia
Europe
GeographicLocations_xml – name: France
– name: Europe
– name: Asia
GroupedDBID 5VS
8R4
8R5
AAFWJ
AAYXX
ABDBF
ACUHS
ADBBV
AENEX
AFPKN
AHGZY
ALMA_UNASSIGNED_HOLDINGS
BCNDV
CITATION
ESX
GROUPED_DOAJ
H13
IAO
IEA
IEP
IPNFZ
ISR
ITC
KQ8
OK1
P2P
Q2X
RIG
RKB
RNS
TR2
TUS
7TG
7TN
7UA
8FD
8FE
8FG
8FH
ABJCF
ABUWG
AEUYN
AFKRA
AZQEC
BENPR
BFMQW
BGLVJ
BHPHI
BKSAR
BPHCQ
C1K
CCPQU
DWQXO
F1W
H8D
H96
HCIFZ
KL.
L.G
L6V
L7M
LK5
M7R
M7S
PCBAR
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
PROAC
PTHSS
1XC
C1A
VOOES
ID FETCH-LOGICAL-c540t-da7c3ca5f152f82882fa66ae66f45802e41b1d7a4a9da049c454da881d3e4c5d3
IEDL.DBID M7S
ISICitedReferencesCount 45
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000395112500002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1991-9603
1991-959X
1991-962X
IngestDate Fri Oct 03 12:53:02 EDT 2025
Tue Oct 14 20:49:58 EDT 2025
Fri Jul 25 10:33:24 EDT 2025
Fri Jul 25 10:38:57 EDT 2025
Mon Oct 20 22:30:47 EDT 2025
Mon Oct 20 16:28:54 EDT 2025
Thu Oct 16 14:31:58 EDT 2025
Tue Nov 18 21:56:05 EST 2025
Sat Nov 29 01:50:26 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 2
Language English
License https://creativecommons.org/licenses/by/3.0
Attribution: http://creativecommons.org/licenses/by
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c540t-da7c3ca5f152f82882fa66ae66f45802e41b1d7a4a9da049c454da881d3e4c5d3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0001-9776-0812
0000-0002-4287-713X
0000-0003-4464-7802
0000-0002-0398-547X
OpenAccessLink https://www.proquest.com/docview/1872201478?pq-origsite=%requestingapplication%
PQID 1872201478
PQPubID 105726
PageCount 18
ParticipantIDs doaj_primary_oai_doaj_org_article_83a92bcfa8dd472db42749be850d4298
hal_primary_oai_HAL_insu_03727082v1
proquest_journals_2414550159
proquest_journals_1872201478
gale_infotracmisc_A482308046
gale_infotracacademiconefile_A482308046
gale_incontextgauss_ISR_A482308046
crossref_citationtrail_10_5194_gmd_10_927_2017
crossref_primary_10_5194_gmd_10_927_2017
PublicationCentury 2000
PublicationDate 2017-02-23
PublicationDateYYYYMMDD 2017-02-23
PublicationDate_xml – month: 02
  year: 2017
  text: 2017-02-23
  day: 23
PublicationDecade 2010
PublicationPlace Katlenburg-Lindau
PublicationPlace_xml – name: Katlenburg-Lindau
PublicationTitle Geoscientific Model Development
PublicationYear 2017
Publisher Copernicus GmbH
European Geosciences Union
Copernicus Publications
Publisher_xml – name: Copernicus GmbH
– name: European Geosciences Union
– name: Copernicus Publications
References ref13
ref57
ref12
ref56
ref15
ref59
ref14
ref58
ref53
ref52
ref11
ref55
ref10
ref54
ref17
ref16
ref19
ref18
ref51
ref50
ref46
ref45
ref48
ref47
ref42
ref41
ref44
ref43
ref49
ref8
ref7
ref9
ref4
ref3
ref6
ref5
ref40
ref35
ref34
ref37
ref36
ref31
ref30
ref33
ref32
ref2
ref1
ref39
ref38
ref71
ref70
ref72
ref24
ref68
ref23
ref67
ref26
ref25
ref69
ref20
ref64
ref63
ref22
ref66
ref21
ref65
ref28
ref27
ref29
ref60
ref62
ref61
References_xml – ident: ref37
– ident: ref28
  doi: 10.1038/370450a0
– ident: ref20
  doi: 10.1016/S0034-4257(98)00031-5
– ident: ref26
  doi: 10.1177/1094342005056116
– ident: ref55
  doi: 10.1016/S1352-2310(01)00451-4
– ident: ref6
  doi: 10.1029/2003JD004067
– ident: ref27
  doi: 10.1029/2007JD008922
– ident: ref70
  doi: 10.5194/acp-6-613-2006
– ident: ref3
  doi: 10.1016/j.atmosenv.2004.02.034
– ident: ref60
  doi: 10.1002/jame.20015
– ident: ref11
  doi: 10.5194/gmd-7-2531-2014
– ident: ref33
  doi: 10.1177/1094342005056115
– ident: ref38
  doi: 10.5194/acp-16-1219-2016
– ident: ref30
  doi: 10.1029/2004JD004706
– ident: ref4
  doi: 10.1023/A:1014980619462
– ident: ref54
  doi: 10.1002/2014MS000324
– ident: ref57
– ident: ref42
  doi: 10.5194/acp-15-6159-2015
– ident: ref34
– ident: ref12
  doi: 10.1029/2000JD000053
– ident: ref9
  doi: 10.2139/ssrn.2603176
– ident: ref61
– ident: ref2
  doi: 10.1002/qj.49712152203
– ident: ref36
  doi: 10.1016/j.atmosenv.2003.10.055
– ident: ref5
  doi: 10.1002/2014JC010565
– ident: ref13
  doi: 10.1002/jame.20038
– ident: ref46
  doi: 10.2151/jmsj.87.895
– ident: ref18
  doi: 10.1016/j.atmosenv.2012.01.041
– ident: ref15
  doi: 10.1016/j.atmosenv.2005.04.027
– ident: ref52
  doi: 10.5194/acp-15-8013-2015
– ident: ref43
  doi: 10.1175/2008MWR2556.1
– ident: ref40
– ident: ref65
  doi: 10.1007/s00382-011-1259-y
– ident: ref47
  doi: 10.1029/2000JD900794
– ident: ref17
  doi: 10.1002/2015JD023096
– ident: ref72
  doi: 10.5194/acp-8-2895-2008
– ident: ref10
  doi: 10.5194/acp-6-2273-2006
– ident: ref7
  doi: 10.1002/2014GL061707
– ident: ref59
  doi: 10.1007/s00382-011-1239-2
– ident: ref69
  doi: 10.5194/gmd-5-299-2012
– ident: ref71
  doi: 10.1029/2009JD012063
– ident: ref23
  doi: 10.1029/2008JD009944
– ident: ref45
  doi: 10.1007/s10546-005-9030-8
– ident: ref53
  doi: 10.5194/gmd-3-87-2010
– ident: ref1
  doi: 10.5194/acp-14-317-2014
– ident: ref62
  doi: 10.5194/gmd-7-587-2014
– ident: ref32
  doi: 10.1029/2003GB002199
– ident: ref41
  doi: 10.5194/gmd-6-981-2013
– ident: ref58
  doi: 10.1038/381681a0
– ident: ref66
  doi: 10.1016/0004-6981(89)90153-4
– ident: ref8
  doi: 10.1007/s00382-012-1636-1
– ident: ref21
  doi: 10.1007/s00382-006-0158-0
– ident: ref64
  doi: 10.5194/acp-9-8661-2009
– ident: ref51
  doi: 10.1029/2001JD900133
– ident: ref39
  doi: 10.5194/gmd-2016-196
– ident: ref29
  doi: 10.1002/jame.20023
– ident: ref48
  doi: 10.5194/acp-14-1999-2014
– ident: ref14
  doi: 10.5194/acp-14-5233-2014
– ident: ref63
– ident: ref67
  doi: 10.1023/A:1006415919030
– ident: ref68
  doi: 10.5194/gmd-8-1509-2015
– ident: ref56
  doi: 10.1175/MWR-D-14-00029.1
– ident: ref31
  doi: 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2
– ident: ref24
  doi: 10.1016/j.atmosenv.2014.09.042
– ident: ref22
  doi: 10.1002/jgrd.50712
– ident: ref16
  doi: 10.5194/acp-6-3181-2006
– ident: ref25
  doi: 10.1016/j.atmosenv.2014.08.072
– ident: ref19
  doi: 10.1029/96JD03436
– ident: ref49
  doi: 10.1029/2005JD006717
– ident: ref50
  doi: 10.1029/2011JD016240
– ident: ref35
– ident: ref44
  doi: 10.5194/acp-15-3303-2015
SSID ssj0069767
ssj0069768
Score 2.3249037
Snippet The presence of airborne aerosols affects the meteorology as it induces a perturbation in the radiation budget, the number of cloud condensation nuclei and the...
SourceID doaj
hal
proquest
gale
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Enrichment Source
Index Database
StartPage 927
SubjectTerms Aerosol optical depth
Aerosol optical properties
Aerosols
Atmospheric models
Chemistry
Climate models
Cloud condensation nuclei
Computation
Computer applications
Computer simulation
Condensation nuclei
Couplers
Coupling
Dust
Earth Sciences
Environmental aspects
Feedback
High frequency
Interaction models
Interfaces
Internet
Meteorology
Optical analysis
Optical properties
Optical thickness
Outdoor air quality
Particulate emissions
Particulate matter
Perturbation
Physics
Radiation
Radiation budget
Radiative forcing
Routines
Sciences of the Universe
Simulation
Solar radiation
Surface temperature
Suspended particulate matter
Transport
Variables
SummonAdditionalLinks – databaseName: Copernicus Publications
  dbid: RKB
  link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lj9MwELZgBRIX3mgLC7IACQ6km4eTOMdQtbQSu6B2Eb1ZfqUg7TartF2JG_-BX8Pf4ZcwYyeFIhAHuOUxTlzPZDyjznwfIU9VFGeGV0kQK1UFsN_aQHEGpymkPqaoVGWMI5vIj4_5fF68_YnqC2vCPDywX7hDnsgiVrqS3BiWx0YxyKMKZXkaGvCl2OYLZoif5BQ53LwPzmCTdbQqWNdTpMXcg_pAtMIOF2cGfU8R52Ahjqfsx37kYPu3zvnyB6yN_MVFu31ndOMfZnyTXG-DTVr6IbfIJbu8Ta6-cmS-n-6Qr6WFOdWn3z5_aRCiAHVEET-i8d0O1NHkYL86xfL4BfWwGlTXm3N3tS3yohBE0vfTEU36eT-iZxCH103nVP1DqFwaJzYYT46G0yGFRcmo7tjmgnWHse7FX9CWP8iNeVPOJrMkOBqc-Ffb5i55NxqeDMZBS-UQaAgJ14GRuU60TCsIFypI8nhcySyTNssqlvIwtixSkcklk4WRkLRoljIjOQTTiWU6Nck9sresl3af0ELLKDfaGqQCyENdhFxnmY0hy9dxalWP9DuFCt3inCPdxqmAfActQIAF4DFYgEAL6JHn2wHnHuLjz6IvUd1bMcTmdhdA_6LVv_ib_nvkMdqXQPSNJZb3LORmtRKT2VSUDP_35CHLeuRZK1TVMHst224JWAME7NqRPNiRBL3pndtPwIx3ZjwuXwvsdBBhAtErxIAXETykM3PROrGViHgew69mOf_tbYj9sCUe4uH7_2NZHpBruMQOLiA5IHvrZmMfkiv6Yv1x1Txyn_d30F5QvA
  priority: 102
  providerName: Copernicus Gesellschaft
– databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NjtMwELZgBRIXtPyJwoIsQIID6ebHie1jqVpaiV1Qu4jeLMd2uki77SptV9ob78DT8Do8CTN2UigCceGWJhPHmZnMjzrzDSEvyiQtrKiyKC3LKgJ_66JSMPiZQ-pjZVVW1vphE_z4WMxm8sMvo76wJizAAwfGHYpMy7Q0lRbWMp7akkEeJUsn8tiCLfVtvjGXbTIVbHABTtaPVcG6HpnLWQD1gWiFHc7PLdoemXLQED-n7Kc_8rD9W-N8_RRrI38z0d7vDPfJ7SZgpL2w0TvkmlvcJTff-oG8V_fIt56DdZdn3798rRFmAPlMEQOiDh0L1I-6wZ5ziiXucxqgMahZbi782aZQi0IgSD9NhjTr8m5CzyGWXtatYQyLUL2wnqw_Gh8NJgMKL1ZQ006Mi9YtTnogf02bGUD-nve96XiaRUf9k_BoV98nH4eDk_4oasYxRAbCunVkNTeZ0XkFLr-CRE2klS4K7YqiYrmIU8eSMrFcMy2thsTDsJxZLSAgzhwzuc0ekL3FcuEeEiqNTrg1ziKcP4-NjIUpCpdCpm7S3JUd0m2FokyDVY4jM84U5CwoRQVSxGOQokIpdsir7Q0XAabj76RvUMpbMsTX9idA61SjdepfWtchz1BHFCJoLLBEZ643q5UaTyeqx_C_SxGzokNeNkTVEnZvdNPxADxA0K0dyoMdSpCb2bn8HFRxZ8ej3juF3QoqziAChTjuMoFFWlVVjSFaqUTwFN6acfHHyxC_YVs7xLSP_gdbHpNbyGLf8p8dkL11vXFPyA1zuf68qp_6T_QHyok-eg
  priority: 102
  providerName: Directory of Open Access Journals
Title Aerosol–radiation interaction modelling using online coupling between the WRF 3.7.1 meteorological model and the CHIMERE 2016 chemistry-transport model, through the OASIS3-MCT coupler
URI https://www.proquest.com/docview/1872201478
https://www.proquest.com/docview/2414550159
https://insu.hal.science/insu-03727082
https://doaj.org/article/83a92bcfa8dd472db42749be850d4298
Volume 10
WOSCitedRecordID wos000395112500002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAGF
  databaseName: Copernicus Publications
  customDbUrl:
  eissn: 1991-9603
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0069767
  issn: 1991-9603
  databaseCode: RKB
  dateStart: 20080101
  isFulltext: true
  titleUrlDefault: http://publications.copernicus.org/open-access_journals/open_access_journals_a_z.html
  providerName: Copernicus Gesellschaft
– providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 1991-9603
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0069767
  issn: 1991-9603
  databaseCode: DOA
  dateStart: 20080101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVPQU
  databaseName: Continental Europe Database
  customDbUrl:
  eissn: 1991-9603
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0069768
  issn: 1991-9603
  databaseCode: BFMQW
  dateStart: 20080101
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/conteurope
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Earth, Atmospheric & Aquatic Science Database
  customDbUrl:
  eissn: 1991-9603
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0069768
  issn: 1991-9603
  databaseCode: PCBAR
  dateStart: 20080101
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/eaasdb
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Engineering Database
  customDbUrl:
  eissn: 1991-9603
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0069768
  issn: 1991-9603
  databaseCode: M7S
  dateStart: 20080101
  isFulltext: true
  titleUrlDefault: http://search.proquest.com
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl:
  eissn: 1991-9603
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0069768
  issn: 1991-9603
  databaseCode: BENPR
  dateStart: 20080101
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Publicly Available Content Database
  customDbUrl:
  eissn: 1991-9603
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0069768
  issn: 1991-9603
  databaseCode: PIMPY
  dateStart: 20080101
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/publiccontent
  providerName: ProQuest
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3db9MwELfYBoIXPgaIwpgsQIIHsuXDiZ0n1FYtraClaocoT5ZjOwVpa0baTuIv49_jzkk2ioAX3mLnnDjx5fyzc_c7Ql5kQZgYkUdemGW5B_Ot9TLBoBjD0sekeZYb45JN8PFYzOfppN5wW9VulY1NdIbaFBr3yI8DwUOYrBgXb86_eZg1Cv-u1ik0dsgesiQEznVv1ljiBKZa_mvBxcWhq0-ahPOK5wcADDtenBk0R2nIQWlc6rKrKcox-V_a650v6C75m9V2U1H_zv8-xF1yuwahtF1pzT1yzS73yc1uk_ttn9x46xL-fr9PfrQtdLI49UokMcBRpMgwUVbxENQl0sGIdooO9AtaEW9QXWzOXW3tBkYBZtJP0z6NjvhRQM8AqRdlY3ari1C1NE6sOxiOetMehSdIqG765K0bFvZK_DWtMwy5Nh_as-Es8kbdk-rWtnxAPvZ7J92BVyd78DSAxrVnFNeRVnEOgCKHZaAIc5UkyiZJzmLhh5YFWWC4Yio1CpY1msXMKAFwO7JMxyZ6SHaXxdI-IjTVKuBGW4PJArivU1_oJLFh6nMdxjZrkaNmfKWumdAxIcephBURKoQEhcBjUAiJCtEiry4bnFckIH8X7aDCXIohe7erKMqFrI2BFJFKw0znShjDeGgyFnKWZlbEvgF8IFrkGaqbRH6OJToALdRmtZLD2VS2Gf4ZFT5LWuRlLZQX0Hut6ngKeAdI6bUlebAlCeOmt04_B63e6vGg_V5iLIT0I8C3gBIvArhIo9KyNnMreaXPfzwN6BCD5gExP_536yfkFr48RxUQHZDddbmxT8l1fbH-uioPyV6nN55MD91-yaH7xKFuMhxNPkNp-q7zEwmTVm8
linkProvider ProQuest
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3Nb9MwFLe2DjQufAwQhQEWH4ID2RLHSZwDQqVstNo6pm6IcTKO7RSkrSlpN7R_iiv_Hu85yUYRcNuBW5M8J9bL8_to_H4_Qp5kAYuNyEOPZVnuQby1XiY4HEZQ-pg0z3JjHNlEsrMjDg7S3QXyvemFwW2VjU90jtoUGv8jXw9EwiBY8US8mnz1kDUKv642FBqVWWzZ029Qsk1f9t_A-33K2ObGfrfn1awCnobsZOYZlehQqyiHyJVDvSFYruJY2TjOeSR8ZnmQBSZRXKVGQf6secSNEpDXhZbryIRw30WyxNHYW2Rptz_Y_dj4_hiCe_LrgevEw81FacwOKmQhSJn4-ujIoANMWQJm6sjSzoOi4w44ixCLn3GD5m9xwgW_zWv_m9quk6t1mk071bq4QRbseIUsdxt2uxVy-a2jND69SX50LCilOPRKhGlAO6WIoVFWHR_UUQVhzz7FFoERraBFqC6OJ-5svdGNQiJNPww3abiWrAX0CGqRomwCS3UTqsbGiXV7_cHGcIOCxmKqmzl5swZnvhJ_QWsOJTfmXWevvxd6g-5-9Whb3iLvL0SDt0lrXIztHUJTrYLEaGuQDiHxdeoLHceWpX6iWWSzNllr7EnqGusdKUcOJdR8aIASDBB_gwFKNMA2eX42YFLBnPxd9DUa6JkY4pO7E0U5krW7kyJUKct0roQxPGEm4yzhaWZF5BvIgESbPELzlohAMsYtTiN1PJ3K_t5Qdjh--xU-j9vkWS2UFzB7reqOEdABgpbNSa7OScJ703OXH8Mqmptxr7MtsdtD-iFk8JAHnwRwk2YJydqRT-X5-vnjZch_ERYAaoK7_x79kCz39gfbcru_s3WPXEFFOmCEcJW0ZuWxvU8u6ZPZl2n5oHYplHy66OX4E2D9sFs
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwELbaLa8LjwJioYDFQ3Ag3cRxEueA0Hbbpas-6Au1N-PYzoLUbkp2W9RfhsSvY8ZJWhYBtx64bZJxYk1mPDMbz_cR8iILWGxEHnosy3IP4q31MsHhMILSx6R5lhvjyCaSzU1xcJBuzZAfTS8Mbqts1kS3UJtC43_knUAkDIIVT0Qnr7dFbC333x1_9ZBBCr-0NnQalYms2bNvUL6N3w6W4V2_ZKy_stdb9WqGAU9DpjLxjEp0qFWUQxTLofYQLFdxrGwc5zwSPrM8yAKTKK5SoyCX1jziRgnI8ULLdWRCuO8smRNxLPwWmVvqb2zvN3EghkCf_HrguvJwo1Eas4MKZQjSJ94ZHhlcDFOWgMk64rSLAOl4BM6jxexn3Kz5W8xwgbB_639W4W1ys06_abfylztkxo7myfVew3o3T66-d1THZ3fJ964FBRWHXonwDWi_FLE1yqoThDoKIezlp9g6MKQV5AjVxcmxO1tvgKOQYNP9nT4NF5PFgB5BjVKUTcCpbkLVyDix3upgY2VnhYL2YqqbOXmTBn--En9Da24lN-ZDd3ewG3obvb3q0ba8Rz5eigbvk9aoGNkHhKZaBYnR1iBNQuLr1Bc6ji1L_USzyGZtstjYltQ1BjxSkRxKqAXRGCUYI_4GY5RojG3y-nzAcQV_8nfRJTTWczHELXcninIo62VQilClLNO5EsbwhJmMs4SnmRWRbyAzEm3yDE1dIjLJCA10qE7GYznY3ZFdjt-Ehc_jNnlVC-UFzF6rupMEdIBgZlOSC1OS8N701OXn4FFTM17trkvsApF-CJk95MenAdykcSdZL_BjeeFLf7wMeTHCBUCt8PDfo5-Sa-CDcn2wufaI3EA9OryEcIG0JuWJfUyu6NPJl3H5pF5dKPl02d74E-2BuPs
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Aerosol-radiation+interaction+modelling+using+online+coupling+between+the+WRF+3.7.1+meteorological+model+and+the+CHIMERE+2016+chemistry-transport+model%2C+through+the+OASIS3-MCT+coupler&rft.jtitle=Geoscientific+model+development&rft.au=Briant%2C+R%C3%A9gis&rft.au=Tuccella%2C+Paolo&rft.au=Deroubaix%2C+Adrien&rft.au=Khvorostyanov%2C+Dmitry&rft.date=2017-02-23&rft.pub=Copernicus+GmbH&rft.issn=1991-959X&rft.volume=10&rft.issue=2&rft.spage=927&rft_id=info:doi/10.5194%2Fgmd-10-927-2017&rft.externalDocID=A482308046
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1991-9603&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1991-9603&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1991-9603&client=summon