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
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
1-15663Subventions
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.
Références
Atmos Chem Phys. 2018 Jul 18;18(14):10199-10218
pubmed: 30450115
J Adv Model Earth Syst. 2019 Oct 24;11(9):2934-2957
pubmed: 33747353
Proc Natl Acad Sci U S A. 2020 Oct 20;117(42):26076-26082
pubmed: 33020302
J Adv Model Earth Syst. 2019 Jan;11(1):231-256
pubmed: 31007838
Philos Trans R Soc Lond B Biol Sci. 2015 Apr 19;370(1666):
pubmed: 25750234
J Adv Model Earth Syst. 2018;10(7):1571-1586
pubmed: 31666920
Atmos Chem Phys. 2017;17(17):10435-10465
pubmed: 30147711
Environ Sci Technol. 2010 Mar 1;44(5):1683-9
pubmed: 20104891
Nat Commun. 2017 May 18;8:15243
pubmed: 28516905
Proc Natl Acad Sci U S A. 2015 Nov 17;112(46):14390-5
pubmed: 26578785
J Geophys Res Atmos. 2017 Dec 27;122(24):13545-13572
pubmed: 30245953
Atmos Chem Phys. 2018;18(5):3839-3864
pubmed: 30079085
Rev Geophys. 2020 Mar 1;58(1):
pubmed: 33748825
Environ Fluid Mech (Dordr). 2010;10(4):471-489
pubmed: 21461126
Sci Total Environ. 2018 Aug 15;633:1437-1452
pubmed: 29758896
Geosci Model Dev. 2021 May 20;14:2867-2897
pubmed: 34676058
Environ Sci Technol. 2017 Jun 6;51(11):6229-6236
pubmed: 28443333
Atmos Chem Phys Discuss. 2017 Jan 31;17:1543-1555
pubmed: 29541091