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New Bidirectional Ammonia Flux Model in an Air Quality Model Coupled With an Agricultural Model

Ammonia surface flux is bidirectional; that is, net flux can be either upward or downward. In fertilized agricultural croplands and grasslands there is usually more emission than deposition especially in midday during warmer seasons. In North America, most of the ammonia emissions are from agricultu...

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Autores principales: Pleim, Jonathan E., Ran, Limei, Appel, Wyat, Shephard, Mark W., Cady-Pereira, Karen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7970535/
https://www.ncbi.nlm.nih.gov/pubmed/33747353
http://dx.doi.org/10.1029/2019MS001728
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author Pleim, Jonathan E.
Ran, Limei
Appel, Wyat
Shephard, Mark W.
Cady-Pereira, Karen
author_facet Pleim, Jonathan E.
Ran, Limei
Appel, Wyat
Shephard, Mark W.
Cady-Pereira, Karen
author_sort Pleim, Jonathan E.
collection PubMed
description Ammonia surface flux is bidirectional; that is, net flux can be either upward or downward. In fertilized agricultural croplands and grasslands there is usually more emission than deposition especially in midday during warmer seasons. In North America, most of the ammonia emissions are from agriculture with a significant fraction of that coming from fertilizer. A new bidirectional ammonia flux modeling system has been developed in the Community Multiscale Air Quality (CMAQ) model, which has close linkages with the Environmental Policy Integrated Climate (EPIC) agricultural ecosystem model. Daily inputs from EPIC are used to calculate soil ammonia concentrations that are combined with air concentrations in CMAQ to calculate bidirectional surface flux. The model is evaluated against surface measurements of NH(3) concentrations, NH(4)(+) and SO(4)(2−) aerosol concentrations, NH(4)(+) wet deposition measurements, and satellite retrievals of NH(3) concentrations. The evaluation shows significant improvement over the base model without bidirectional ammonia flux. Comparisons to monthly average satellite retrievals show similar spatial distribution with the highest ammonia concentrations in the Central Valley of California (CA), the Snake River valley in Idaho, and the western High Plains. In most areas the model underestimates, but in the Central Valley of CA, it generally overestimates ammonia concentration. Case study analyses indicate that modeled high fluxes of ammonia in CA are often caused by anomalous high soil ammonia loading from EPIC for particular crop types. While further improvements to parameterizations in EPIC and CMAQ are recommended, this system is a significant advance over previous ammonia bidirectional surface flux models.
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spelling pubmed-79705352021-03-18 New Bidirectional Ammonia Flux Model in an Air Quality Model Coupled With an Agricultural Model Pleim, Jonathan E. Ran, Limei Appel, Wyat Shephard, Mark W. Cady-Pereira, Karen J Adv Model Earth Syst Article Ammonia surface flux is bidirectional; that is, net flux can be either upward or downward. In fertilized agricultural croplands and grasslands there is usually more emission than deposition especially in midday during warmer seasons. In North America, most of the ammonia emissions are from agriculture with a significant fraction of that coming from fertilizer. A new bidirectional ammonia flux modeling system has been developed in the Community Multiscale Air Quality (CMAQ) model, which has close linkages with the Environmental Policy Integrated Climate (EPIC) agricultural ecosystem model. Daily inputs from EPIC are used to calculate soil ammonia concentrations that are combined with air concentrations in CMAQ to calculate bidirectional surface flux. The model is evaluated against surface measurements of NH(3) concentrations, NH(4)(+) and SO(4)(2−) aerosol concentrations, NH(4)(+) wet deposition measurements, and satellite retrievals of NH(3) concentrations. The evaluation shows significant improvement over the base model without bidirectional ammonia flux. Comparisons to monthly average satellite retrievals show similar spatial distribution with the highest ammonia concentrations in the Central Valley of California (CA), the Snake River valley in Idaho, and the western High Plains. In most areas the model underestimates, but in the Central Valley of CA, it generally overestimates ammonia concentration. Case study analyses indicate that modeled high fluxes of ammonia in CA are often caused by anomalous high soil ammonia loading from EPIC for particular crop types. While further improvements to parameterizations in EPIC and CMAQ are recommended, this system is a significant advance over previous ammonia bidirectional surface flux models. 2019-10-24 /pmc/articles/PMC7970535/ /pubmed/33747353 http://dx.doi.org/10.1029/2019MS001728 Text en http://creativecommons.org/licenses/by/4.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Pleim, Jonathan E.
Ran, Limei
Appel, Wyat
Shephard, Mark W.
Cady-Pereira, Karen
New Bidirectional Ammonia Flux Model in an Air Quality Model Coupled With an Agricultural Model
title New Bidirectional Ammonia Flux Model in an Air Quality Model Coupled With an Agricultural Model
title_full New Bidirectional Ammonia Flux Model in an Air Quality Model Coupled With an Agricultural Model
title_fullStr New Bidirectional Ammonia Flux Model in an Air Quality Model Coupled With an Agricultural Model
title_full_unstemmed New Bidirectional Ammonia Flux Model in an Air Quality Model Coupled With an Agricultural Model
title_short New Bidirectional Ammonia Flux Model in an Air Quality Model Coupled With an Agricultural Model
title_sort new bidirectional ammonia flux model in an air quality model coupled with an agricultural model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7970535/
https://www.ncbi.nlm.nih.gov/pubmed/33747353
http://dx.doi.org/10.1029/2019MS001728
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