FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2175094568> ?p ?o ?g. }

• W2175094568 endingPage "979" @default.
• W2175094568 startingPage "961" @default.
• W2175094568 abstract "Abstract This study investigates the potential utility of the application of a photochemical modeling system in providing simultaneous forecasts of ozone (O3) and fine particulate matter (PM2.5) over New York State. To this end, daily simulations from the Community Multiscale Air Quality (CMAQ) model for three extended time periods during 2004 and 2005 have been performed, and predictions were compared with observations of ozone and total and speciated PM2.5. Model performance for 8-h daily maximum O3 was found to be similar to other forecasting systems and to be better than that for the 24-h-averaged total PM2.5. Both pollutants exhibited no seasonal differences in model performance. CMAQ simulations successfully captured the urban–rural and seasonal differences evident in observed total and speciated PM2.5 concentrations. However, total PM2.5 mass was strongly overestimated in the New York City metropolitan area, and further analysis of speciated observations and model predictions showed that most of this overprediction stems from organic aerosols and crustal material. An analysis of hourly speciated data measured in Bronx County, New York, suggests that a combination of uncertainties in vertical mixing, magnitude, and temporal allocation of emissions and deposition processes are all possible contributors to this overprediction in the complex urban area. Categorical evaluation of CMAQ simulations in terms of exceeding two different threshold levels of the air quality index (AQI) again indicates better performance for ozone than PM2.5 and better performance for lower exceedance thresholds. In most regions of New York State, the routine air quality forecasts based on observed concentrations and expert judgment show slightly better agreement with the observed distributions of AQI categories than do CMAQ simulations. However, CMAQ shows skill similar to these routine forecasts in terms of capturing the AQI tendency, that is, in predicting changes in air quality conditions. Overall, the results presented in this study reveal that additional research and development is needed to improve CMAQ simulations of PM2.5 concentrations over New York State, especially for the New York City metropolitan area. On the other hand, because CMAQ simulations capture urban–rural concentration gradients and day-to-day fluctuations in observed air quality despite systematic overpredictions in some areas, it would be useful to develop tools that combine CMAQ’s predictive capability in terms of spatial concentration gradients and AQI tendencies with real-time observations of ambient pollutant levels to generate forecasts with higher temporal and spatial resolutions (e.g., county level) than those of techniques based exclusively on monitoring data." @default.
• W2175094568 created "2016-06-24" @default.
• W2175094568 creator A5001078849 @default.
• W2175094568 creator A5008192160 @default.
• W2175094568 creator A5024669389 @default.
• W2175094568 creator A5035371718 @default.
• W2175094568 creator A5056148944 @default.
• W2175094568 creator A5056817312 @default.
• W2175094568 creator A5063907431 @default.
• W2175094568 creator A5067625332 @default.
• W2175094568 creator A5069526021 @default.
• W2175094568 creator A5085905174 @default.
• W2175094568 date "2007-07-01" @default.
• W2175094568 modified "2023-10-13" @default.
• W2175094568 title "Daily Simulation of Ozone and Fine Particulates over New York State: Findings and Challenges" @default.
• W2175094568 cites W1982444521 @default.
• W2175094568 cites W1993429157 @default.
• W2175094568 cites W1997560023 @default.
• W2175094568 cites W2001209546 @default.
• W2175094568 cites W2003659022 @default.
• W2175094568 cites W2008544320 @default.
• W2175094568 cites W2008641894 @default.
• W2175094568 cites W2016703826 @default.
• W2175094568 cites W2022317128 @default.
• W2175094568 cites W2042472688 @default.
• W2175094568 cites W2048690199 @default.
• W2175094568 cites W2065706157 @default.
• W2175094568 cites W2069461209 @default.
• W2175094568 cites W2090410338 @default.
• W2175094568 cites W2114826007 @default.
• W2175094568 cites W2161812626 @default.
• W2175094568 cites W2165680013 @default.
• W2175094568 cites W2177512081 @default.
• W2175094568 doi "https://doi.org/10.1175/jam2520.1" @default.
• W2175094568 hasPublicationYear "2007" @default.
• W2175094568 type Work @default.
• W2175094568 sameAs 2175094568 @default.
• W2175094568 citedByCount "37" @default.
• W2175094568 countsByYear W21750945682012 @default.
• W2175094568 countsByYear W21750945682013 @default.
• W2175094568 countsByYear W21750945682016 @default.
• W2175094568 countsByYear W21750945682017 @default.
• W2175094568 countsByYear W21750945682018 @default.
• W2175094568 countsByYear W21750945682019 @default.
• W2175094568 countsByYear W21750945682021 @default.
• W2175094568 crossrefType "journal-article" @default.
• W2175094568 hasAuthorship W2175094568A5001078849 @default.
• W2175094568 hasAuthorship W2175094568A5008192160 @default.
• W2175094568 hasAuthorship W2175094568A5024669389 @default.
• W2175094568 hasAuthorship W2175094568A5035371718 @default.
• W2175094568 hasAuthorship W2175094568A5056148944 @default.
• W2175094568 hasAuthorship W2175094568A5056817312 @default.
• W2175094568 hasAuthorship W2175094568A5063907431 @default.
• W2175094568 hasAuthorship W2175094568A5067625332 @default.
• W2175094568 hasAuthorship W2175094568A5069526021 @default.
• W2175094568 hasAuthorship W2175094568A5085905174 @default.
• W2175094568 hasBestOaLocation W21750945681 @default.
• W2175094568 hasConcept C126314574 @default.
• W2175094568 hasConcept C127313418 @default.
• W2175094568 hasConcept C153294291 @default.
• W2175094568 hasConcept C178790620 @default.
• W2175094568 hasConcept C185592680 @default.
• W2175094568 hasConcept C188052254 @default.
• W2175094568 hasConcept C205649164 @default.
• W2175094568 hasConcept C24245907 @default.
• W2175094568 hasConcept C2776845762 @default.
• W2175094568 hasConcept C39432304 @default.
• W2175094568 hasConcept C40382383 @default.
• W2175094568 hasConcept C49204034 @default.
• W2175094568 hasConcept C508106653 @default.
• W2175094568 hasConcept C91586092 @default.
• W2175094568 hasConceptScore W2175094568C126314574 @default.
• W2175094568 hasConceptScore W2175094568C127313418 @default.
• W2175094568 hasConceptScore W2175094568C153294291 @default.
• W2175094568 hasConceptScore W2175094568C178790620 @default.
• W2175094568 hasConceptScore W2175094568C185592680 @default.
• W2175094568 hasConceptScore W2175094568C188052254 @default.
• W2175094568 hasConceptScore W2175094568C205649164 @default.
• W2175094568 hasConceptScore W2175094568C24245907 @default.
• W2175094568 hasConceptScore W2175094568C2776845762 @default.
• W2175094568 hasConceptScore W2175094568C39432304 @default.
• W2175094568 hasConceptScore W2175094568C40382383 @default.
• W2175094568 hasConceptScore W2175094568C49204034 @default.
• W2175094568 hasConceptScore W2175094568C508106653 @default.
• W2175094568 hasConceptScore W2175094568C91586092 @default.
• W2175094568 hasIssue "7" @default.
• W2175094568 hasLocation W21750945681 @default.
• W2175094568 hasOpenAccess W2175094568 @default.
• W2175094568 hasPrimaryLocation W21750945681 @default.
• W2175094568 hasRelatedWork W1555959673 @default.
• W2175094568 hasRelatedWork W1968454069 @default.
• W2175094568 hasRelatedWork W2063426884 @default.
• W2175094568 hasRelatedWork W2070268036 @default.
• W2175094568 hasRelatedWork W2070419850 @default.
• W2175094568 hasRelatedWork W2088370767 @default.
• W2175094568 hasRelatedWork W2148375341 @default.
• W2175094568 hasRelatedWork W2157281407 @default.
• W2175094568 hasRelatedWork W2191089182 @default.

• next