Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017079553> ?p ?o ?g. }
- W2017079553 endingPage "50" @default.
- W2017079553 startingPage "38" @default.
- W2017079553 abstract "Over twenty modeling groups are participating in the Air Quality Model Evaluation International Initiative (AQMEII) in which a variety of mesoscale photochemical and aerosol air quality modeling systems are being applied to continental-scale domains in North America and Europe for 2006 full-year simulations for model inter-comparisons and evaluations. To better understand the reasons for differences in model results among these participating groups, each group was asked to use the same source of emissions and boundary concentration data for their simulations. This paper describes the development and application of the boundary concentration data for this AQMEII modeling exercise. The European project known as GEMS (Global and regional Earth-system Monitoring using Satellite and in-situ data) has produced global-scale re-analyses of air quality for several years, including 2006 (http://gems.ecmwf.int). The GEMS trace gas and aerosol data were made available at 3-hourly intervals on a regular latitude/longitude grid of approximately 1.9° resolution within 2 “cut-outs” from the global model domain. One cut-out was centered over North America and the other over Europe, covering sufficient spatial domain for each modeling group to extract the necessary time- and space-varying (horizontal and vertical) concentrations for their mesoscale model boundaries. Examples of the impact of these boundary concentrations on the AQMEII continental simulations are presented to quantify the sensitivity of the simulations to boundary concentrations. In addition, some participating groups were not able to use the GEMS data and instead relied upon other sources for their boundary concentration specifications. These are noted, and the contrasting impacts of other data sources for boundary data are presented. How one specifies four-dimensional boundary concentrations for mesoscale air quality simulations can have a profound impact on the model results, and hence, this aspect of data preparation must be performed with considerable care." @default.
- W2017079553 created "2016-06-24" @default.
- W2017079553 creator A5001078849 @default.
- W2017079553 creator A5009541468 @default.
- W2017079553 creator A5027645403 @default.
- W2017079553 creator A5031099935 @default.
- W2017079553 creator A5037302119 @default.
- W2017079553 creator A5043993092 @default.
- W2017079553 creator A5048256673 @default.
- W2017079553 creator A5056817312 @default.
- W2017079553 creator A5062391663 @default.
- W2017079553 creator A5062518836 @default.
- W2017079553 creator A5067004903 @default.
- W2017079553 creator A5067625332 @default.
- W2017079553 creator A5075005046 @default.
- W2017079553 creator A5081559070 @default.
- W2017079553 date "2012-06-01" @default.
- W2017079553 modified "2023-10-14" @default.
- W2017079553 title "Trace gas/aerosol boundary concentrations and their impacts on continental-scale AQMEII modeling domains" @default.
- W2017079553 cites W1971290825 @default.
- W2017079553 cites W1974706428 @default.
- W2017079553 cites W1976498622 @default.
- W2017079553 cites W1983086210 @default.
- W2017079553 cites W2003658455 @default.
- W2017079553 cites W2010026170 @default.
- W2017079553 cites W2018760167 @default.
- W2017079553 cites W2048405579 @default.
- W2017079553 cites W2054626470 @default.
- W2017079553 cites W2061589304 @default.
- W2017079553 cites W2064504201 @default.
- W2017079553 cites W2069290968 @default.
- W2017079553 cites W2078517784 @default.
- W2017079553 cites W2110974533 @default.
- W2017079553 cites W2113675171 @default.
- W2017079553 cites W2113827433 @default.
- W2017079553 cites W2119834746 @default.
- W2017079553 cites W2124443761 @default.
- W2017079553 cites W2129605485 @default.
- W2017079553 cites W2138017294 @default.
- W2017079553 cites W2139737873 @default.
- W2017079553 cites W2161987407 @default.
- W2017079553 cites W2162953324 @default.
- W2017079553 doi "https://doi.org/10.1016/j.atmosenv.2011.09.043" @default.
- W2017079553 hasPublicationYear "2012" @default.
- W2017079553 type Work @default.
- W2017079553 sameAs 2017079553 @default.
- W2017079553 citedByCount "67" @default.
- W2017079553 countsByYear W20170795532012 @default.
- W2017079553 countsByYear W20170795532013 @default.
- W2017079553 countsByYear W20170795532014 @default.
- W2017079553 countsByYear W20170795532015 @default.
- W2017079553 countsByYear W20170795532016 @default.
- W2017079553 countsByYear W20170795532017 @default.
- W2017079553 countsByYear W20170795532018 @default.
- W2017079553 countsByYear W20170795532019 @default.
- W2017079553 countsByYear W20170795532021 @default.
- W2017079553 countsByYear W20170795532023 @default.
- W2017079553 crossrefType "journal-article" @default.
- W2017079553 hasAuthorship W2017079553A5001078849 @default.
- W2017079553 hasAuthorship W2017079553A5009541468 @default.
- W2017079553 hasAuthorship W2017079553A5027645403 @default.
- W2017079553 hasAuthorship W2017079553A5031099935 @default.
- W2017079553 hasAuthorship W2017079553A5037302119 @default.
- W2017079553 hasAuthorship W2017079553A5043993092 @default.
- W2017079553 hasAuthorship W2017079553A5048256673 @default.
- W2017079553 hasAuthorship W2017079553A5056817312 @default.
- W2017079553 hasAuthorship W2017079553A5062391663 @default.
- W2017079553 hasAuthorship W2017079553A5062518836 @default.
- W2017079553 hasAuthorship W2017079553A5067004903 @default.
- W2017079553 hasAuthorship W2017079553A5067625332 @default.
- W2017079553 hasAuthorship W2017079553A5075005046 @default.
- W2017079553 hasAuthorship W2017079553A5081559070 @default.
- W2017079553 hasBestOaLocation W20170795532 @default.
- W2017079553 hasConcept C122523270 @default.
- W2017079553 hasConcept C126314574 @default.
- W2017079553 hasConcept C127313418 @default.
- W2017079553 hasConcept C130047971 @default.
- W2017079553 hasConcept C13280743 @default.
- W2017079553 hasConcept C134306372 @default.
- W2017079553 hasConcept C153294291 @default.
- W2017079553 hasConcept C205649164 @default.
- W2017079553 hasConcept C2778755073 @default.
- W2017079553 hasConcept C2779345167 @default.
- W2017079553 hasConcept C2780554747 @default.
- W2017079553 hasConcept C33923547 @default.
- W2017079553 hasConcept C39432304 @default.
- W2017079553 hasConcept C40382383 @default.
- W2017079553 hasConcept C49204034 @default.
- W2017079553 hasConcept C58640448 @default.
- W2017079553 hasConcept C62354387 @default.
- W2017079553 hasConcept C91586092 @default.
- W2017079553 hasConceptScore W2017079553C122523270 @default.
- W2017079553 hasConceptScore W2017079553C126314574 @default.
- W2017079553 hasConceptScore W2017079553C127313418 @default.
- W2017079553 hasConceptScore W2017079553C130047971 @default.
- W2017079553 hasConceptScore W2017079553C13280743 @default.
- W2017079553 hasConceptScore W2017079553C134306372 @default.
- W2017079553 hasConceptScore W2017079553C153294291 @default.