Harmonized Emissions Component (HEMCO) 3.0 as a Versatile Emissions Component for Atmospheric Models: Application in the GEOS-Chem, NASA GEOS, WRF-GC, CESM2, NOAA GEFS-Aerosol, and NOAA UFS Models

Emissions are a central component of atmospheric chemistry models. The Harmonized Emissions Component (HEMCO) is a software component for computing emissions from a user-selected ensemble of emission inventories and algorithms. It allows users to re-grid, combine, overwrite, subset, and scale emissi...

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Vydáno v:Geoscientific Model Development Ročník 14; číslo 9; s. 5487 - 5506
Hlavní autoři: Lin, Haipeng, Jacob, Daniel J, Lundgren, Elizabeth W, Sulprizio, Melissa P, Keller, Christoph A, Fritz, Thibaud M, Eastham, Sebastian D, Emmons, Louisa K, Campbell, Patrick C, Baker, Barry, Saylor, Rick D, Montuoro, Raffaele
Médium: Journal Article
Jazyk:angličtina
Vydáno: Goddard Space Flight Center European Geosciences Union 06.09.2021
Copernicus GmbH
Copernicus Publications
Témata:
Aerosols
Algorithms
Architecture
Atmospheric chemistry
Atmospheric chemistry models
Atmospheric models
Atmospheric particulates
Chemical transport
Computation
Computer architecture
Computer Programming And Software
Configurations
Data
Distributed memory
Dust storms
Earth
Emission inventories
Ensemble forecasting
Environmental aspects
Geophysics
Global aerosols
Infrastructure
Libraries
Meteorological research
Microprocessors
Modelling
Numerical weather forecasting
Source code
Unstructured grids (mathematics)
Variables
Weather forecasting
ISSN:1991-959X, 1991-9603, 1991-962X, 1991-9603, 1991-962X
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Abstract Emissions are a central component of atmospheric chemistry models. The Harmonized Emissions Component (HEMCO) is a software component for computing emissions from a user-selected ensemble of emission inventories and algorithms. It allows users to re-grid, combine, overwrite, subset, and scale emissions from different inventories through a configuration file and with no change to the model source code. The configuration file also maps emissions to model species with appropriate units. HEMCO can operate in offline stand-alone mode, but more importantly it provides an online facility for models to compute emissions at runtime. HEMCO complies with the Earth System Modeling Framework (ESMF) for portability across models. We present a new version here, HEMCO 3.0, that features an improved three-layer architecture to facilitate implementation into any atmospheric model and improved capability for calculating emissions at any model resolution including multiscale and unstructured grids. The three-layer architecture of HEMCO 3.0 includes (1) the Data Input Layer that reads the configuration file and accesses the HEMCO library of emission inventories and other environmental data, (2) the HEMCO Core that computes emissions on the user-selected HEMCO grid, and (3) the Model Interface Layer that re-grids (if needed) and serves the data to the atmospheric model and also serves model data to the HEMCO Core for computing emissions dependent on model state (such as from dust or vegetation). The HEMCO Core is common to the implementation in all models, while the Data Input Layer and the Model Interface Layer are adaptable to the model environment. Default versions of the Data Input Layer and Model Interface Layer enable straightforward implementation of HEMCO in any simple model architecture, and options are available to disable features such as re-gridding that may be done by independent couplers in more complex architectures. The HEMCO library of emission inventories and algorithms is continuously enriched through user contributions so that new inventories can be immediately shared across models. HEMCO can also serve as a general data broker for models to process input data not only for emissions but for any gridded environmental datasets. We describe existing implementations of HEMCO 3.0 in (1) the GEOS-Chem “Classic” chemical transport model with shared-memory infrastructure, (2) the high-performance GEOS-Chem (GCHP) model with distributed-memory architecture, (3) the NASA GEOS Earth System Model (GEOS ESM), (4) the Weather Research and Forecasting model with GEOS-Chem (WRF-GC), (5) the Community Earth System Model Version 2 (CESM2), and (6) the NOAA Global Ensemble Forecast System – Aerosols (GEFS-Aerosols), as well as the planned implementation in the NOAA Unified Forecast System (UFS). Implementation of HEMCO in CESM2 contributes to the Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICA) by providing a common emissions infrastructure to support different simulations of atmospheric chemistry across scales.
AbstractList Emissions are a central component of atmospheric chemistry models. The Harmonized Emissions Component (HEMCO) is a software component for computing emissions from a user-selected ensemble of emission inventories and algorithms. It allows users to re-grid, combine, overwrite, subset, and scale emissions from different inventories through a configuration file and with no change to the model source code. The configuration file also maps emissions to model species with appropriate units. HEMCO can operate in offline stand-alone mode, but more importantly it provides an online facility for models to compute emissions at runtime. HEMCO complies with the Earth System Modeling Framework (ESMF) for portability across models. We present a new version here, HEMCO 3.0, that features an improved three-layer architecture to facilitate implementation into any atmospheric model and improved capability for calculating emissions at any model resolution including multiscale and unstructured grids. The three-layer architecture of HEMCO 3.0 includes (1) the Data Input Layer that reads the configuration file and accesses the HEMCO library of emission inventories and other environmental data, (2) the HEMCO Core that computes emissions on the user-selected HEMCO grid, and (3) the Model Interface Layer that re-grids (if needed) and serves the data to the atmospheric model and also serves model data to the HEMCO Core for computing emissions dependent on model state (such as from dust or vegetation). The HEMCO Core is common to the implementation in all models, while the Data Input Layer and the Model Interface Layer are adaptable to the model environment. Default versions of the Data Input Layer and Model Interface Layer enable straightforward implementation of HEMCO in any simple model architecture, and options are available to disable features such as re-gridding that may be done by independent couplers in more complex architectures. The HEMCO library of emission inventories and algorithms is continuously enriched through user contributions so that new inventories can be immediately shared across models. HEMCO can also serve as a general data broker for models to process input data not only for emissions but for any gridded environmental datasets. We describe existing implementations of HEMCO 3.0 in (1) the GEOS-Chem “Classic” chemical transport model with shared-memory infrastructure, (2) the high-performance GEOS-Chem (GCHP) model with distributed-memory architecture, (3) the NASA GEOS Earth System Model (GEOS ESM), (4) the Weather Research and Forecasting model with GEOS-Chem (WRF-GC), (5) the Community Earth System Model Version 2 (CESM2), and (6) the NOAA Global Ensemble Forecast System – Aerosols (GEFS-Aerosols), as well as the planned implementation in the NOAA Unified Forecast System (UFS). Implementation of HEMCO in CESM2 contributes to the Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICA) by providing a common emissions infrastructure to support different simulations of atmospheric chemistry across scales.
Emissions are a central component of atmospheric chemistry models. The Harmonized Emissions Component (HEMCO) is a software component for computing emissions from a user-selected ensemble of emission inventories and algorithms. It allows users to re-grid, combine, overwrite, subset, and scale emissions from different inventories through a configuration file and with no change to the model source code. The configuration file also maps emissions to model species with appropriate units. HEMCO can operate in offline stand-alone mode, but more importantly it provides an online facility for models to compute emissions at runtime. HEMCO complies with the Earth System Modeling Framework (ESMF) for portability across models. We present a new version here, HEMCO 3.0, that features an improved three-layer architecture to facilitate implementation into any atmospheric model and improved capability for calculating emissions at any model resolution including multiscale and unstructured grids. The three-layer architecture of HEMCO 3.0 includes (1) the Data Input Layer that reads the configuration file and accesses the HEMCO library of emission inventories and other environmental data, (2) the HEMCO Core that computes emissions on the user-selected HEMCO grid, and (3) the Model Interface Layer that re-grids (if needed) and serves the data to the atmospheric model and also serves model data to the HEMCO Core for computing emissions dependent on model state (such as from dust or vegetation). The HEMCO Core is common to the implementation in all models, while the Data Input Layer and the Model Interface Layer are adaptable to the model environment. Default versions of the Data Input Layer and Model Interface Layer enable straightforward implementation of HEMCO in any simple model architecture, and options are available to disable features such as re-gridding that may be done by independent couplers in more complex architectures. The HEMCO library of emission inventories and algorithms is continuously enriched through user contributions so that new inventories can be immediately shared across models. HEMCO can also serve as a general data broker for models to process input data not only for emissions but for any gridded environmental datasets. We describe existing implementations of HEMCO 3.0 in (1) the GEOS-Chem “Classic” chemical transport model with shared-memory infrastructure, (2) the high-performance GEOS-Chem (GCHP) model with distributed-memory architecture, (3) the NASA GEOS Earth System Model (GEOS ESM), (4) the Weather Research and Forecasting model with GEOS-Chem (WRF-GC), (5) the Community Earth System Model Version 2 (CESM2), and (6) the NOAA Global Ensemble Forecast System – Aerosols (GEFS-Aerosols), as well as the planned implementation in the NOAA Unified Forecast System (UFS). Implementation of HEMCO in CESM2 contributes to the Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICA) by providing a common emissions infrastructure to support different simulations of atmospheric chemistry across scales.
Emissions are a central component of atmospheric chemistry models. The Harmonized Emissions Component (HEMCO) is a software component for computing emissions from a user-selected ensemble of emission inventories and algorithms. It allows users to re-grid, combine, overwrite, subset, and scale emissions from different inventories through a configuration file and with no change to the model source code. The configuration file also maps emissions to model species with appropriate units. HEMCO can operate in offline stand-alone mode, but more importantly it provides an online facility for models to compute emissions at runtime. HEMCO complies with the Earth System Modeling Framework (ESMF) for portability across models. We present a new version here, HEMCO 3.0, that features an improved three-layer architecture to facilitate implementation into any atmospheric model and improved capability for calculating emissions at any model resolution including multiscale and unstructured grids. The three-layer architecture of HEMCO 3.0 includes (1) the Data Input Layer that reads the configuration file and accesses the HEMCO library of emission inventories and other environmental data, (2) the HEMCO Core that computes emissions on the user-selected HEMCO grid, and (3) the Model Interface Layer that re-grids (if needed) and serves the data to the atmospheric model and also serves model data to the HEMCO Core for computing emissions dependent on model state (such as from dust or vegetation). The HEMCO Core is common to the implementation in all models, while the Data Input Layer and the Model Interface Layer are adaptable to the model environment. Default versions of the Data Input Layer and Model Interface Layer enable straightforward implementation of HEMCO in any simple model architecture, and options are available to disable features such as re-gridding that may be done by independent couplers in more complex architectures. The HEMCO library of emission inventories and algorithms is continuously enriched through user contributions so that new inventories can be immediately shared across models. HEMCO can also serve as a general data broker for models to process input data not only for emissions but for any gridded environmental datasets. We describe existing implementations of HEMCO 3.0 in (1) the GEOS-Chem “Classic” chemical transport model with shared-memory infrastructure, (2) the high-performance GEOS-Chem (GCHP) model with distributed-memory architecture, (3) the NASA GEOS Earth System Model (GEOS ESM), (4) the Weather Research and Forecasting model with GEOS-Chem (WRF-GC), (5) the Community Earth System Model Version 2 (CESM2), and (6) the NOAA Global Ensemble Forecast System – Aerosols (GEFS-Aerosols), as well as the planned implementation in the NOAA Unified Forecast System (UFS). Implementation of HEMCO in CESM2 contributes to the Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICA) by providing a common emissions infrastructure to support different simulations of atmospheric chemistry across scales.
Audience PUBLIC
Academic
Author Fritz, Thibaud M
Campbell, Patrick C
Lundgren, Elizabeth W
Baker, Barry
Jacob, Daniel J
Eastham, Sebastian D
Emmons, Louisa K
Montuoro, Raffaele
Sulprizio, Melissa P
Saylor, Rick D
Lin, Haipeng
Keller, Christoph A
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  surname: Jacob
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  organization: Harvard University
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  surname: Lundgren
  fullname: Lundgren, Elizabeth W
  organization: Harvard University
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  givenname: Melissa P
  surname: Sulprizio
  fullname: Sulprizio, Melissa P
  organization: Harvard University
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  givenname: Christoph A
  surname: Keller
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  organization: Universities Space Research Association
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  organization: George Mason University
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  organization: NOAA Air Resources Laboratory
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  organization: NOAA Air Resources Laboratory
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  orcidid: 0000-0002-4655-2623
  surname: Montuoro
  fullname: Montuoro, Raffaele
  organization: Cooperative Institute for Research in Environmental Sciences
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Cites_doi 10.1038/ngeo1687
10.1002/2014GL062437
10.5194/gmd-11-369-2018
10.1073/pnas.2015797118
10.5194/gmd-8-595-2015
10.5194/essd-12-3413-2020
10.1002/jgrg.20042
10.1029/2003GB002079
10.5194/acp-11-3137-2011
10.1029/2000JD000053
10.1115/1.2128636
10.5194/acp-18-5359-2018
10.1088/1748-9326/aa65a4
10.1016/j.jcp.2007.07.022
10.5194/acp-11-4039-2011
10.5194/acp-16-1161-2016
10.5194/gmd-7-1409-2014
10.1029/2002JD002775
10.1029/2012JG002128
10.1016/j.rse.2021.112461
10.1021/es0700799
10.5194/acp-13-285-2013
10.1029/2000GB001382
10.5194/gmd-4-625-2011
10.5194/gmd-5-1471-2012
10.5194/gmd-13-2379-2020
10.5194/gmd-4-419-2011
10.5194/acp-12-1423-2012
10.1175/BAMS-D-19-0331.1
10.1016/j.rse.2010.03.012
10.1016/j.atmosenv.2005.04.027
10.5194/acp-17-2921-2017
10.5194/gmd-14-3741-2021
10.5194/acp-6-3557-2006
10.1093/nsr/nwx150
10.1029/2019MS001882
10.1175/MWR-D-11-00201.1
10.5194/acp-11-11707-2011
10.5194/gmd-11-4603-2018
10.1175/JCLI-D-15-0389.1
10.1175/1520-0493(1994)122<1575:ACOTVL>2.0.CO;2
10.5194/os-6-913-2010
10.5194/acp-18-14095-2018
10.1038/ncomms13444
10.1175/BAMS-D-14-00164.1
10.1002/essoar.10505287.1
10.5194/acp-14-5841-2014
10.5194/essd-10-1987-2018
10.1002/2016JD025767
10.1175/1520-0469(2002)059<0461:TAOTFT>2.0.CO;2
10.1175/1520-0493(2004)132<2293:AVLFDC>2.0.CO;2
10.1029/97GB02266
10.5194/gmd-10-3329-2017
10.1002/2015JD023134
10.1029/2007JD009415
10.5194/gmd-13-3241-2020
10.1029/2005JD006721
10.1175/MWR-D-12-00129.1
10.1021/acs.est.6b02602
10.1038/s41597-020-0488-5
10.1029/2001JD000807
10.1029/2004JD005619
10.1029/1998JD100040
10.1175/BAMS-D-17-0246.1
10.1016/j.atmosenv.2011.07.012
10.1145/1297385.1297388
10.5194/acp-10-2269-2010
10.5194/bg-9-527-2012
10.1029/2020MS002064
10.5194/acp-10-11707-2010
10.5194/gmd-11-2941-2018
10.5194/acp-12-7779-2012
10.1109/MCISE.2004.1255817
10.1175/JCLI-D-16-0609.1
10.1175/1520-0493(1996)124<2046:MFFSLT>2.0.CO;2
10.1029/2012JD017934
10.5194/acp-10-3405-2010
10.1029/2009JD011880
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References ref13
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ref12
ref56
ref15
ref59
ref14
ref58
ref53
ref52
ref11
ref55
ref10
ref54
ref17
ref16
ref19
ref18
ref51
ref50
ref91
ref90
ref46
ref45
ref89
ref48
ref47
ref42
ref86
ref41
ref85
ref44
ref88
ref43
ref87
ref49
ref8
ref7
ref9
ref4
ref3
ref6
ref5
ref82
ref81
ref40
ref84
ref83
ref80
ref35
ref79
ref34
ref78
ref37
ref36
ref31
ref75
ref30
ref74
ref33
ref77
ref32
ref76
ref2
ref1
ref39
ref38
ref71
ref70
ref73
ref72
ref24
ref68
ref23
ref67
ref26
ref25
ref69
ref20
ref64
ref63
ref22
ref66
ref21
ref65
ref28
ref27
ref29
ref60
ref62
ref61
References_xml – ident: ref9
  doi: 10.1038/ngeo1687
– ident: ref8
  doi: 10.1002/2014GL062437
– ident: ref35
  doi: 10.5194/gmd-11-369-2018
– ident: ref47
  doi: 10.1073/pnas.2015797118
– ident: ref55
  doi: 10.5194/gmd-8-595-2015
– ident: ref58
  doi: 10.5194/essd-12-3413-2020
– ident: ref25
  doi: 10.1002/jgrg.20042
– ident: ref27
  doi: 10.1029/2003GB002079
– ident: ref39
  doi: 10.5194/acp-11-3137-2011
– ident: ref26
  doi: 10.1029/2000JD000053
– ident: ref6
  doi: 10.1115/1.2128636
– ident: ref17
  doi: 10.5194/acp-18-5359-2018
– ident: ref65
  doi: 10.1088/1748-9326/aa65a4
– ident: ref66
  doi: 10.1016/j.jcp.2007.07.022
– ident: ref1
  doi: 10.5194/acp-11-4039-2011
– ident: ref73
  doi: 10.5194/acp-16-1161-2016
– ident: ref45
  doi: 10.5194/gmd-7-1409-2014
– ident: ref88
  doi: 10.1029/2002JD002775
– ident: ref68
  doi: 10.1029/2012JG002128
– ident: ref72
  doi: 10.1016/j.rse.2021.112461
– ident: ref83
  doi: 10.1021/es0700799
– ident: ref36
  doi: 10.5194/acp-13-285-2013
– ident: ref3
  doi: 10.1029/2000GB001382
– ident: ref85
  doi: 10.5194/gmd-4-625-2011
– ident: ref30
  doi: 10.5194/gmd-5-1471-2012
– ident: ref61
– ident: ref2
– ident: ref40
  doi: 10.5194/gmd-13-2379-2020
– ident: ref23
  doi: 10.5194/gmd-4-419-2011
– ident: ref62
  doi: 10.5194/acp-12-1423-2012
– ident: ref64
  doi: 10.1175/BAMS-D-19-0331.1
– ident: ref87
  doi: 10.1016/j.rse.2010.03.012
– ident: ref29
  doi: 10.1016/j.atmosenv.2005.04.027
– ident: ref50
– ident: ref70
  doi: 10.5194/acp-17-2921-2017
– ident: ref22
  doi: 10.5194/gmd-14-3741-2021
– ident: ref42
  doi: 10.5194/acp-6-3557-2006
– ident: ref48
  doi: 10.1093/nsr/nwx150
– ident: ref79
– ident: ref19
  doi: 10.1029/2019MS001882
– ident: ref31
  doi: 10.1175/MWR-D-11-00201.1
– ident: ref82
  doi: 10.5194/acp-11-11707-2011
– ident: ref37
  doi: 10.5194/gmd-11-4603-2018
– ident: ref32
  doi: 10.1175/JCLI-D-15-0389.1
– ident: ref71
– ident: ref16
– ident: ref54
  doi: 10.1175/1520-0493(1994)122<1575:ACOTVL>2.0.CO;2
– ident: ref43
  doi: 10.5194/os-6-913-2010
– ident: ref33
– ident: ref89
  doi: 10.5194/acp-18-14095-2018
– ident: ref14
  doi: 10.1038/ncomms13444
– ident: ref77
  doi: 10.1175/BAMS-D-14-00164.1
– ident: ref7
– ident: ref46
  doi: 10.1002/essoar.10505287.1
– ident: ref56
  doi: 10.5194/acp-14-5841-2014
– ident: ref13
  doi: 10.5194/essd-10-1987-2018
– ident: ref78
  doi: 10.1002/2016JD025767
– ident: ref11
  doi: 10.1175/1520-0469(2002)059<0461:TAOTFT>2.0.CO;2
– ident: ref41
– ident: ref74
– ident: ref52
  doi: 10.1175/1520-0493(2004)132<2293:AVLFDC>2.0.CO;2
– ident: ref5
  doi: 10.1029/97GB02266
– ident: ref81
  doi: 10.5194/gmd-10-3329-2017
– ident: ref24
  doi: 10.1002/2015JD023134
– ident: ref86
  doi: 10.1029/2007JD009415
– ident: ref51
  doi: 10.5194/gmd-13-3241-2020
– ident: ref21
  doi: 10.1029/2005JD006721
– ident: ref10
  doi: 10.1175/MWR-D-12-00129.1
– ident: ref15
– ident: ref57
  doi: 10.1021/acs.est.6b02602
– ident: ref84
  doi: 10.1038/s41597-020-0488-5
– ident: ref4
  doi: 10.1029/2001JD000807
– ident: ref20
  doi: 10.1029/2004JD005619
– ident: ref12
  doi: 10.1029/1998JD100040
– ident: ref90
  doi: 10.1175/BAMS-D-17-0246.1
– ident: ref67
– ident: ref28
– ident: ref75
  doi: 10.1016/j.atmosenv.2011.07.012
– ident: ref76
  doi: 10.1145/1297385.1297388
– ident: ref49
  doi: 10.5194/acp-10-2269-2010
– ident: ref44
  doi: 10.5194/bg-9-527-2012
– ident: ref91
  doi: 10.1029/2020MS002064
– ident: ref80
  doi: 10.5194/acp-10-11707-2010
– ident: ref18
  doi: 10.5194/gmd-11-2941-2018
– ident: ref38
  doi: 10.5194/acp-12-7779-2012
– ident: ref34
  doi: 10.1109/MCISE.2004.1255817
– ident: ref69
  doi: 10.1175/JCLI-D-16-0609.1
– ident: ref53
  doi: 10.1175/1520-0493(1996)124<2046:MFFSLT>2.0.CO;2
– ident: ref60
  doi: 10.1029/2012JD017934
– ident: ref59
  doi: 10.5194/acp-10-3405-2010
– ident: ref63
  doi: 10.1029/2009JD011880
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Snippet Emissions are a central component of atmospheric chemistry models. The Harmonized Emissions Component (HEMCO) is a software component for computing emissions...
Emissions are a central component of atmospheric chemistry models. The Harmonized Emissions Component (HEMCO) is a software component for computing emissions...
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SubjectTerms Aerosols
Algorithms
Architecture
Atmospheric chemistry
Atmospheric chemistry models
Atmospheric models
Atmospheric particulates
Chemical transport
Computation
Computer architecture
Computer Programming And Software
Configurations
Data
Distributed memory
Dust storms
Earth
Emission inventories
Ensemble forecasting
Environmental aspects
Geophysics
Global aerosols
Infrastructure
Libraries
Meteorological research
Microprocessors
Modelling
Numerical weather forecasting
Source code
Unstructured grids (mathematics)
Variables
Weather forecasting
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Title Harmonized Emissions Component (HEMCO) 3.0 as a Versatile Emissions Component for Atmospheric Models: Application in the GEOS-Chem, NASA GEOS, WRF-GC, CESM2, NOAA GEFS-Aerosol, and NOAA UFS Models
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