Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1783666439879655424 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7970535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT pleimjonathane newbidirectionalammoniafluxmodelinanairqualitymodelcoupledwithanagriculturalmodel AT ranlimei newbidirectionalammoniafluxmodelinanairqualitymodelcoupledwithanagriculturalmodel AT appelwyat newbidirectionalammoniafluxmodelinanairqualitymodelcoupledwithanagriculturalmodel AT shephardmarkw newbidirectionalammoniafluxmodelinanairqualitymodelcoupledwithanagriculturalmodel AT cadypereirakaren newbidirectionalammoniafluxmodelinanairqualitymodelcoupledwithanagriculturalmodel |