Development and evaluation of CO2 transport in MPAS-A v6.3

Chemistry transport models (CTMs) play an important role in understanding fluxes and atmospheric distribution of carbon dioxide (CO2). They have been widely used for modeling CO2 transport through forward simulations and inferring fluxes through inversion systems. With the increasing availability of...

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Autores: Zheng, Tao|||0000-0002-2358-2416, Feng, Sha|||0000-0002-2376-0868, Davis, Kenneth J.|||0000-0002-1992-8381, Pal, Sandip|||0000-0001-9497-9990, Morguí, Josep-Anton|||0000-0002-3184-0067
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:304637
Acceso en línea:https://ddd.uab.cat/record/304637
https://dx.doi.org/urn:doi:10.5194/gmd-14-3037-2021
Access Level:acceso abierto
Palabra clave:SDG 13 - Climate Action
SDG 14 - Life Below Water
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spelling Development and evaluation of CO2 transport in MPAS-A v6.3Zheng, Tao|||0000-0002-2358-2416Feng, Sha|||0000-0002-2376-0868Davis, Kenneth J.|||0000-0002-1992-8381Pal, Sandip|||0000-0001-9497-9990Morguí, Josep-Anton|||0000-0002-3184-0067SDG 13 - Climate ActionSDG 14 - Life Below WaterChemistry transport models (CTMs) play an important role in understanding fluxes and atmospheric distribution of carbon dioxide (CO2). They have been widely used for modeling CO2 transport through forward simulations and inferring fluxes through inversion systems. With the increasing availability of high-resolution observations, it has been become possible to estimate CO2 fluxes at higher spatial resolution. In this work, we implemented CO2 transport in the Model for Prediction Across Scales Atmosphere (MPASA). The objective is to use the variable-resolution capability of MPAS-A to enable a high-resolution CO2 simulation in a limited region with a global model. Treating CO2 as an inert tracer, we implemented in MPAS-A (v6.3) the CO2 transport processes, including advection, vertical mixing by boundary layer scheme, and convective transport. We first evaluated the newly implemented model s tracer mass conservation and then its CO2 simulation accuracy. A 1-year (2014) MPAS-A simulation is evaluated at the global scale using CO2 measurements from 50 near-surface stations and 18 Total Carbon Column Observing Network (TCCON) stations. The simulation is also compared with two global models: National Oceanic and Atmospheric Administration (NOAA) Carbon- Tracker v2019 (CT2019) and European Centre for Medium- Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS). A second set of simulation (2016 2018) is used to evaluate MPAS-A at regional scale using Atmospheric Carbon and Transport America (ACT-America) aircraft CO2 measurements over the eastern United States. This simulation is also compared with CT2019 and a 27 km WRFChem simulation. The global-scale evaluations show that MPAS-A is capable of representing the spatial and temporal CO2 variation with a comparable level of accuracy as IFS of similar horizontal resolution. The regional-scale evaluations show that MPAS-A is capable of representing the observed atmospheric CO2 spatial structures related to the midlatitude synoptic weather system, including the warm versus cold sector distinction, boundary layer to free troposphere difference, and frontal boundary CO2 enhancement. MPAS-A s performance in representing these CO2 spatial structures is comparable to the global model CT2019 and regional modelWRF-Chem. 22021-01-0120212021-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/304637https://dx.doi.org/urn:doi:10.5194/gmd-14-3037-2021reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:3046372026-06-06T12:50:31Z
dc.title.none.fl_str_mv Development and evaluation of CO2 transport in MPAS-A v6.3
title Development and evaluation of CO2 transport in MPAS-A v6.3
spellingShingle Development and evaluation of CO2 transport in MPAS-A v6.3
Zheng, Tao|||0000-0002-2358-2416
SDG 13 - Climate Action
SDG 14 - Life Below Water
title_short Development and evaluation of CO2 transport in MPAS-A v6.3
title_full Development and evaluation of CO2 transport in MPAS-A v6.3
title_fullStr Development and evaluation of CO2 transport in MPAS-A v6.3
title_full_unstemmed Development and evaluation of CO2 transport in MPAS-A v6.3
title_sort Development and evaluation of CO2 transport in MPAS-A v6.3
dc.creator.none.fl_str_mv Zheng, Tao|||0000-0002-2358-2416
Feng, Sha|||0000-0002-2376-0868
Davis, Kenneth J.|||0000-0002-1992-8381
Pal, Sandip|||0000-0001-9497-9990
Morguí, Josep-Anton|||0000-0002-3184-0067
author Zheng, Tao|||0000-0002-2358-2416
author_facet Zheng, Tao|||0000-0002-2358-2416
Feng, Sha|||0000-0002-2376-0868
Davis, Kenneth J.|||0000-0002-1992-8381
Pal, Sandip|||0000-0001-9497-9990
Morguí, Josep-Anton|||0000-0002-3184-0067
author_role author
author2 Feng, Sha|||0000-0002-2376-0868
Davis, Kenneth J.|||0000-0002-1992-8381
Pal, Sandip|||0000-0001-9497-9990
Morguí, Josep-Anton|||0000-0002-3184-0067
author2_role author
author
author
author
dc.subject.none.fl_str_mv SDG 13 - Climate Action
SDG 14 - Life Below Water
topic SDG 13 - Climate Action
SDG 14 - Life Below Water
description Chemistry transport models (CTMs) play an important role in understanding fluxes and atmospheric distribution of carbon dioxide (CO2). They have been widely used for modeling CO2 transport through forward simulations and inferring fluxes through inversion systems. With the increasing availability of high-resolution observations, it has been become possible to estimate CO2 fluxes at higher spatial resolution. In this work, we implemented CO2 transport in the Model for Prediction Across Scales Atmosphere (MPASA). The objective is to use the variable-resolution capability of MPAS-A to enable a high-resolution CO2 simulation in a limited region with a global model. Treating CO2 as an inert tracer, we implemented in MPAS-A (v6.3) the CO2 transport processes, including advection, vertical mixing by boundary layer scheme, and convective transport. We first evaluated the newly implemented model s tracer mass conservation and then its CO2 simulation accuracy. A 1-year (2014) MPAS-A simulation is evaluated at the global scale using CO2 measurements from 50 near-surface stations and 18 Total Carbon Column Observing Network (TCCON) stations. The simulation is also compared with two global models: National Oceanic and Atmospheric Administration (NOAA) Carbon- Tracker v2019 (CT2019) and European Centre for Medium- Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS). A second set of simulation (2016 2018) is used to evaluate MPAS-A at regional scale using Atmospheric Carbon and Transport America (ACT-America) aircraft CO2 measurements over the eastern United States. This simulation is also compared with CT2019 and a 27 km WRFChem simulation. The global-scale evaluations show that MPAS-A is capable of representing the spatial and temporal CO2 variation with a comparable level of accuracy as IFS of similar horizontal resolution. The regional-scale evaluations show that MPAS-A is capable of representing the observed atmospheric CO2 spatial structures related to the midlatitude synoptic weather system, including the warm versus cold sector distinction, boundary layer to free troposphere difference, and frontal boundary CO2 enhancement. MPAS-A s performance in representing these CO2 spatial structures is comparable to the global model CT2019 and regional modelWRF-Chem.
publishDate 2021
dc.date.none.fl_str_mv 2
2021-01-01
2021
2021-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/304637
https://dx.doi.org/urn:doi:10.5194/gmd-14-3037-2021
url https://ddd.uab.cat/record/304637
https://dx.doi.org/urn:doi:10.5194/gmd-14-3037-2021
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
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https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
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