Technical note: AQMEII4 Activity 1: evaluation of wet and dry deposition schemes as an integral part of regional-scale air quality models.


Journal

Atmospheric chemistry and physics
ISSN: 1680-7316
Titre abrégé: Atmos Chem Phys
Pays: Germany
ID NLM: 101214388

Informations de publication

Date de publication:
20 Oct 2021
Historique:
entrez: 26 11 2021
pubmed: 27 11 2021
medline: 27 11 2021
Statut: ppublish

Résumé

We present in this technical note the research protocol for phase 4 of the Air Quality Model Evaluation International Initiative (AQMEII4). This research initiative is divided into two activities, collectively having three goals: (i) to define the current state of the science with respect to representations of wet and especially dry deposition in regional models, (ii) to quantify the extent to which different dry deposition parameterizations influence retrospective air pollutant concentration and flux predictions, and (iii) to identify, through the use of a common set of detailed diagnostics, sensitivity simulations, model evaluation, and reduction of input uncertainty, the specific causes for the current range of these predictions. Activity 1 is dedicated to the diagnostic evaluation of wet and dry deposition processes in regional air quality models (described in this paper), and Activity 2 to the evaluation of dry deposition point models against ozone flux measurements at multiple towers with multiyear observations (to be described in future submissions as part of the special issue on AQMEII4). The scope of this paper is to present the scientific protocols for Activity 1, as well as to summarize the technical information associated with the different dry deposition approaches used by the participating research groups of AQMEII4. In addition to describing all common aspects and data used for this multi-model evaluation activity, most importantly, we present the strategy devised to allow a common process-level comparison of dry deposition obtained from models using sometimes very different dry deposition schemes. The strategy is based on adding detailed diagnostics to the algorithms used in the dry deposition modules of existing regional air quality models, in particular archiving diagnostics specific to land use-land cover (LULC) and creating standardized LULC categories to facilitate cross-comparison of LULC-specific dry deposition parameters and processes, as well as archiving effective conductance and effective flux as means for comparing the relative influence of different pathways towards the net or total dry deposition. This new approach, along with an analysis of precipitation and wet deposition fields, will provide an unprecedented process-oriented comparison of deposition in regional air quality models. Examples of how specific dry deposition schemes used in participating models have been reduced to the common set of comparable diagnostics defined for AQMEII4 are also presented.

Identifiants

pubmed: 34824572
doi: 10.5194/acp-21-15663-2021
pmc: PMC8609478
mid: NIHMS1753694
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1-15663

Subventions

Organisme : Intramural EPA
ID : EPA999999
Pays : United States

Déclaration de conflit d'intérêts

Competing interests. The authors declare that they have no conflict of interest.

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Auteurs

Stefano Galmarini (S)

Joint Research Centre, European Commission, Ispra, Italy.

Paul Makar (P)

Air Quality Modelling and Integration Section, Environment and Climate Change Canada, Toronto, Canada.

Olivia E Clifton (OE)

National Center for Atmospheric Research, Boulder, CO, USA.
NASA Goddard Institute for Space Studies, New York, NY, USA.

Christian Hogrefe (C)

Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.

Jesse O Bash (JO)

Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.

Roberto Bellasio (R)

Enviroware srl, Concorezzo, MB, Italy.

Roberto Bianconi (R)

Enviroware srl, Concorezzo, MB, Italy.

Johannes Bieser (J)

Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Geesthacht, Germany.

Tim Butler (T)

Institute for Advanced Sustainability Studies, Potsdam, Germany.

Jason Ducker (J)

Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, FL, USA.

Johannes Flemming (J)

European Centre for Medium-Range Weather Forecasts, Reading, UK.

Alma Hodzic (A)

National Center for Atmospheric Research, Boulder, CO, USA.

Christopher D Holmes (CD)

Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, FL, USA.

Ioannis Kioutsioukis (I)

Laboratory of Atmospheric Physics, Department of Physics, University of Patras, Patras, Greece.

Richard Kranenburg (R)

Netherlands Organization for Applied Scientific Research (TNO), Utrecht, the Netherlands.

Aurelia Lupascu (A)

Institute for Advanced Sustainability Studies, Potsdam, Germany.

Juan Luis Perez-Camanyo (JL)

Technical University of Madrid (UPM), Madrid, Spain.

Jonathan Pleim (J)

Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.

Young-Hee Ryu (YH)

Pohang University of Science and Technology (POSTECH), Pohang, South Korea.

Roberto San Jose (RS)

Technical University of Madrid (UPM), Madrid, Spain.

Donna Schwede (D)

Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.

Sam Silva (S)

Pacific Northwest National Laboratory, Richland, WA, USA.

Ralf Wolke (R)

Leibniz Institute for Tropospheric Research, Leipzig, Germany.

Classifications MeSH