Meteorological data assimilation for air quality modeling with WRF-Chem: Central Mexico case study

Meteorological data assimilation from surface observations (PREPBUFR) and satellite radiance (BUFR) provided by the National Centers for Environmental Prediction (NCEP) is carried out to determine their possible influence on chemical variables concentrations such as ozone (O3), obtained from air qua...

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Autores: Evelyn Elisa Martínez-Sabari, José Agustín García-Reynoso
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:México
Institución:Universidad Nacional Autónoma de México
Repositorio:Redalyc-UNAM
OAI Identifier:oai:redalyc.org:56572301006
Acceso en línea:https://www.redalyc.org/articulo.oa?id=56572301006
https://www.redalyc.org/journal/565/56572301006/
https://www.redalyc.org/journal/565/56572301006/html/
https://www.redalyc.org/journal/565/56572301006/56572301006.epub
https://www.redalyc.org/journal/565/56572301006/movil
Access Level:acceso abierto
Palabra clave:Ciencias de la Tierra
WRF
Chem
WRFDA
3DVAR
meteorological data assimilation
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spelling Meteorological data assimilation for air quality modeling with WRF-Chem: Central Mexico case studyEvelyn Elisa Martínez-SabariJosé Agustín García-ReynosoCiencias de la TierraWRFChemWRFDA3DVARmeteorological data assimilationMeteorological data assimilation from surface observations (PREPBUFR) and satellite radiance (BUFR) provided by the National Centers for Environmental Prediction (NCEP) is carried out to determine their possible influence on chemical variables concentrations such as ozone (O3), obtained from air quality modeling over central Mexico using the photochemical Weather Research and Forecasting Model with Chemistry (WRF-Chem) during a bad-pollution event due to high O3 concentrations in the Mexico City Metropolitan Area on May 1-4, 2013. For this, the Weather Research and Forecasting Data Assimilation (WRFDA) module was adapted to run with WRF-Chem, and the 3DVAR assimilation technique (which is implemented in the WRFDA) was selected. Six study cases were defined taking into account the combination of the data source type with the assimilation process start times (00:00 and 12:00 UTC). Results indicate that independently of these factors, data assimilation modifies in general the meteorological variables (temperature and wind) initial conditions to obtain a better agreement between model simulations and observations, although statistics results are even higher when the process starts at 12:00 UTC using a combination of PREPBUFR and BUFR data (PB+RD cases). It was also verified that there is an influence on O3 concentrations since the statistical metrics obtained for the different experiments carried out are modified; however, it is insufficient to considerably improve the chemical variable model performance.Universidad Nacional Autónoma de México2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdf0187-6236https://www.redalyc.org/articulo.oa?id=56572301006https://www.redalyc.org/journal/565/56572301006/https://www.redalyc.org/journal/565/56572301006/html/https://www.redalyc.org/journal/565/56572301006/56572301006.epubhttps://www.redalyc.org/journal/565/56572301006/movil10.20937/ATM.52804Atmósfera (México) Num.3 Vol.34reponame:Redalyc-UNAMinstname:Universidad Nacional Autónoma de Méxicoinstacron:UNAMenhttp://www.redalyc.org/revista.oa?id=565Atmósferainfo:eu-repo/semantics/openAccessoai:redalyc.org:565723010062025-09-03T18:07:01Z
dc.title.none.fl_str_mv Meteorological data assimilation for air quality modeling with WRF-Chem: Central Mexico case study
title Meteorological data assimilation for air quality modeling with WRF-Chem: Central Mexico case study
spellingShingle Meteorological data assimilation for air quality modeling with WRF-Chem: Central Mexico case study
Evelyn Elisa Martínez-Sabari
Ciencias de la Tierra
WRF
Chem
WRFDA
3DVAR
meteorological data assimilation
title_short Meteorological data assimilation for air quality modeling with WRF-Chem: Central Mexico case study
title_full Meteorological data assimilation for air quality modeling with WRF-Chem: Central Mexico case study
title_fullStr Meteorological data assimilation for air quality modeling with WRF-Chem: Central Mexico case study
title_full_unstemmed Meteorological data assimilation for air quality modeling with WRF-Chem: Central Mexico case study
title_sort Meteorological data assimilation for air quality modeling with WRF-Chem: Central Mexico case study
dc.creator.none.fl_str_mv Evelyn Elisa Martínez-Sabari
José Agustín García-Reynoso
author Evelyn Elisa Martínez-Sabari
author_facet Evelyn Elisa Martínez-Sabari
José Agustín García-Reynoso
author_role author
author2 José Agustín García-Reynoso
author2_role author
dc.subject.none.fl_str_mv Ciencias de la Tierra
WRF
Chem
WRFDA
3DVAR
meteorological data assimilation
topic Ciencias de la Tierra
WRF
Chem
WRFDA
3DVAR
meteorological data assimilation
description Meteorological data assimilation from surface observations (PREPBUFR) and satellite radiance (BUFR) provided by the National Centers for Environmental Prediction (NCEP) is carried out to determine their possible influence on chemical variables concentrations such as ozone (O3), obtained from air quality modeling over central Mexico using the photochemical Weather Research and Forecasting Model with Chemistry (WRF-Chem) during a bad-pollution event due to high O3 concentrations in the Mexico City Metropolitan Area on May 1-4, 2013. For this, the Weather Research and Forecasting Data Assimilation (WRFDA) module was adapted to run with WRF-Chem, and the 3DVAR assimilation technique (which is implemented in the WRFDA) was selected. Six study cases were defined taking into account the combination of the data source type with the assimilation process start times (00:00 and 12:00 UTC). Results indicate that independently of these factors, data assimilation modifies in general the meteorological variables (temperature and wind) initial conditions to obtain a better agreement between model simulations and observations, although statistics results are even higher when the process starts at 12:00 UTC using a combination of PREPBUFR and BUFR data (PB+RD cases). It was also verified that there is an influence on O3 concentrations since the statistical metrics obtained for the different experiments carried out are modified; however, it is insufficient to considerably improve the chemical variable model performance.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 0187-6236
https://www.redalyc.org/articulo.oa?id=56572301006
https://www.redalyc.org/journal/565/56572301006/
https://www.redalyc.org/journal/565/56572301006/html/
https://www.redalyc.org/journal/565/56572301006/56572301006.epub
https://www.redalyc.org/journal/565/56572301006/movil
10.20937/ATM.52804
identifier_str_mv 0187-6236
10.20937/ATM.52804
url https://www.redalyc.org/articulo.oa?id=56572301006
https://www.redalyc.org/journal/565/56572301006/
https://www.redalyc.org/journal/565/56572301006/html/
https://www.redalyc.org/journal/565/56572301006/56572301006.epub
https://www.redalyc.org/journal/565/56572301006/movil
dc.language.none.fl_str_mv en
language_invalid_str_mv en
dc.relation.none.fl_str_mv http://www.redalyc.org/revista.oa?id=565
dc.rights.none.fl_str_mv Atmósfera
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atmósfera
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional Autónoma de México
publisher.none.fl_str_mv Universidad Nacional Autónoma de México
dc.source.none.fl_str_mv Atmósfera (México) Num.3 Vol.34
reponame:Redalyc-UNAM
instname:Universidad Nacional Autónoma de México
instacron:UNAM
instname_str Universidad Nacional Autónoma de México
instacron_str UNAM
institution UNAM
reponame_str Redalyc-UNAM
collection Redalyc-UNAM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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