FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4245181812> ?p ?o ?g. }

• W4245181812 abstract "<strong class=journal-contentHeaderColor>Abstract.</strong> Although air quality in the United States has improved remarkably in the past decades, ground-level ozone (O<span class=inline-formula>₃)</span> often rises in exceedance of the national ambient air quality standard in nonattainment areas, including the Long Island Sound (LIS) and its surrounding areas. Accurate prediction of high-ozone episodes is needed to assist government agencies and the public in mitigating harmful effects of air pollution. In this study, we have developed a suite of potential forecast improvements, including dynamic boundary conditions, rapid emission refresh and chemical data assimilation, in a 3 km resolution Community Multiscale Air Quality (CMAQ) modeling system. The purpose is to evaluate and assess the effectiveness of these forecasting techniques, individually or in combination, in improving forecast guidance for two major air pollutants: surface O<span class=inline-formula>₃</span> and nitrogen dioxide (NO<span class=inline-formula>₂)</span>. Experiments were conducted for a high-O<span class=inline-formula>₃</span> episode (28–29 August 2018) during the Long Island Sound Tropospheric Ozone Study (LISTOS) field campaign, which provides abundant observations for evaluating model performance. The results show that these forecast system updates are useful in enhancing the capability of this 3 km forecasting model with varying effectiveness for different pollutants. For O<span class=inline-formula>₃</span> prediction, the most significant improvement comes from the dynamic boundary conditions derived from the NOAA operational forecast system, National Air Quality Forecast Capability (NAQFC), which increases the correlation coefficient (<span class=inline-formula><i>R</i></span>) from 0.81 to 0.93 and reduces the root mean square error (RMSE) from 14.97 to 8.22 ppbv, compared to that with the static boundary conditions (BCs). The NO<span class=inline-formula>₂</span> from all high-resolution simulations outperforms that from the operational 12 km NAQFC simulation, regardless of the BCs used, highlighting the importance of spatially resolved emission and meteorology inputs for the prediction of short-lived pollutants. The effectiveness of improved initial concentrations through optimal interpolation (OI) is shown to be high in urban areas with high emission density. The influence of OI adjustment, however, is maintained for a longer period in rural areas, where emissions and chemical transformation make a smaller contribution to the O<span class=inline-formula>₃</span> budget than<span id=page16532/> that in high-emission areas. Following the assessment of individual updates, the forecasting system is configured with dynamic boundary conditions, optimal interpolation of initial concentrations and emission adjustment, to simulate a high-ozone episode during the 2018 LISTOS field campaign. The newly developed forecasting system significantly reduces the bias of surface NO<span class=inline-formula>₂</span> prediction. When compared with the NASA Langley GeoCAPE Airborne Simulator (GCAS) vertical column density (VCD), this system is able to reproduce the NO<span class=inline-formula>₂</span> VCD with a higher correlation (0.74), lower normalized mean bias (40 %) and normalized mean error (61 %) than NAQFC (0.57, 45 % and 76 %, respectively). The 3 km system captures magnitude and timing of surface O<span class=inline-formula>₃</span> peaks and valleys better. In comparison with lidar, O<span class=inline-formula>₃</span> profile variability of the vertical O<span class=inline-formula>₃</span> is captured better by the new system (correlation coefficient of 0.71) than by NAQFC (correlation coefficient of 0.54). Although the experiments are limited to one pollution episode over the Long Island Sound, this study demonstrates feasible approaches to improve the predictability of high-O<span class=inline-formula>₃</span> episodes in contemporary urban environments." @default.
• W4245181812 created "2022-05-12" @default.
• W4245181812 creator A5012046085 @default.
• W4245181812 date "2021-08-04" @default.
• W4245181812 modified "2023-09-30" @default.
• W4245181812 title "Reply on RC2" @default.
• W4245181812 doi "https://doi.org/10.5194/acp-2020-1291-ac2" @default.
• W4245181812 hasPublicationYear "2021" @default.
• W4245181812 type Work @default.
• W4245181812 citedByCount "0" @default.
• W4245181812 crossrefType "peer-review" @default.
• W4245181812 hasAuthorship W4245181812A5012046085 @default.
• W4245181812 hasBestOaLocation W42451818121 @default.
• W4245181812 hasConcept C126314574 @default.
• W4245181812 hasConcept C127413603 @default.
• W4245181812 hasConcept C147176958 @default.
• W4245181812 hasConcept C153294291 @default.
• W4245181812 hasConcept C178790620 @default.
• W4245181812 hasConcept C185592680 @default.
• W4245181812 hasConcept C205649164 @default.
• W4245181812 hasConcept C24552861 @default.
• W4245181812 hasConcept C2776349674 @default.
• W4245181812 hasConcept C2776845762 @default.
• W4245181812 hasConcept C2778753569 @default.
• W4245181812 hasConcept C39432304 @default.
• W4245181812 hasConcept C508106653 @default.
• W4245181812 hasConcept C559116025 @default.
• W4245181812 hasConcept C82685317 @default.
• W4245181812 hasConceptScore W4245181812C126314574 @default.
• W4245181812 hasConceptScore W4245181812C127413603 @default.
• W4245181812 hasConceptScore W4245181812C147176958 @default.
• W4245181812 hasConceptScore W4245181812C153294291 @default.
• W4245181812 hasConceptScore W4245181812C178790620 @default.
• W4245181812 hasConceptScore W4245181812C185592680 @default.
• W4245181812 hasConceptScore W4245181812C205649164 @default.
• W4245181812 hasConceptScore W4245181812C24552861 @default.
• W4245181812 hasConceptScore W4245181812C2776349674 @default.
• W4245181812 hasConceptScore W4245181812C2776845762 @default.
• W4245181812 hasConceptScore W4245181812C2778753569 @default.
• W4245181812 hasConceptScore W4245181812C39432304 @default.
• W4245181812 hasConceptScore W4245181812C508106653 @default.
• W4245181812 hasConceptScore W4245181812C559116025 @default.
• W4245181812 hasConceptScore W4245181812C82685317 @default.
• W4245181812 hasLocation W42451818121 @default.
• W4245181812 hasOpenAccess W4245181812 @default.
• W4245181812 hasPrimaryLocation W42451818121 @default.
• W4245181812 hasRelatedWork W2009503673 @default.
• W4245181812 hasRelatedWork W2076759468 @default.
• W4245181812 hasRelatedWork W2137570441 @default.
• W4245181812 hasRelatedWork W2317765915 @default.
• W4245181812 hasRelatedWork W2354679988 @default.
• W4245181812 hasRelatedWork W2905968983 @default.
• W4245181812 hasRelatedWork W3089473743 @default.
• W4245181812 hasRelatedWork W4244206457 @default.
• W4245181812 hasRelatedWork W4365812984 @default.
• W4245181812 hasRelatedWork W614657272 @default.
• W4245181812 isParatext "false" @default.
• W4245181812 isRetracted "false" @default.
• W4245181812 workType "peer-review" @default.