FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2908045113> ?p ?o ?g. }

• W2908045113 abstract "Combining Observed PM2.5 with Regionalized Bias- Corrected Chemical Transport ModelsAbstract Number:2605 Jeanette Reyes* and Marc Serre Jeanette Reyes* University of North Carolina, United States, E-mail Address: [email protected]edu Search for more papers by this author and Marc Serre University of North Carolina, United States, E-mail Address: [email protected] Search for more papers by this author AbstractIn epidemiology and exposure assessment there is a growing need to use existing databases to estimate exposure to PM2.5. Commonly used data are from the EPA’s monitoring networks. Although observed data are highly accurate, they are typically sparse. There is a need to combine multiple data sources together to obtain both the high level of accuracy of observed data along with the highest level of spatial coverage. Chemical Transport Models (CTMs) are able to provide complete spatial coverage but are subject to systematic bias and inherent variability due to model uncertainty. Multiyear studies across the United States are challenging because the bias and model performance of CTMs are not uniform over such large space/time domains. Bias changes regionally and temporally. To address this issue we introduce a model performance evaluation for PM2.5 CTMs that is regionalized. This model performance evaluation leads to a hybrid PM2.5 estimate that has the accuracy of observed data along with the coverage of modeled data. The regionalized bias correction approach is non-parametric and is therefore more flexible at characterizing performance than approaches that rely on parametric relationships of predictions errors. Observed data and bias corrected CTM data are combined using the Bayesian Maximum Entropy (BME) method of modern spatiotemporal geostatistics in order to quantify uncertainty at unmonitored locations in space and time. Previous works using Bayesian inference have been able to merge CTM and observed data in space only. This work also bypasses the typical ‘change of support’ problem that is associated with combining data sources at different scales. By incorporating a mean trend into observed data, the 10-fold cross validation mean squared error reduced by 3.91%. Incorporating modeled data along with observed data better characterizes PM2.5 variability and reduces estimation uncertainty compared with using observed data alone." @default.
• W2908045113 created "2019-01-11" @default.
• W2908045113 creator A5055198673 @default.
• W2908045113 creator A5063225225 @default.
• W2908045113 date "2014-10-20" @default.
• W2908045113 modified "2023-09-28" @default.
• W2908045113 title "Combining Observed PM2.5 with Regionalized Bias- Corrected Chemical Transport Models" @default.
• W2908045113 doi "https://doi.org/10.1289/isee.2014.o-175" @default.
• W2908045113 hasPublicationYear "2014" @default.
• W2908045113 type Work @default.
• W2908045113 sameAs 2908045113 @default.
• W2908045113 citedByCount "0" @default.
• W2908045113 crossrefType "journal-article" @default.
• W2908045113 hasAuthorship W2908045113A5055198673 @default.
• W2908045113 hasAuthorship W2908045113A5063225225 @default.
• W2908045113 hasConcept C105795698 @default.
• W2908045113 hasConcept C117251300 @default.
• W2908045113 hasConcept C124101348 @default.
• W2908045113 hasConcept C149782125 @default.
• W2908045113 hasConcept C24574437 @default.
• W2908045113 hasConcept C33923547 @default.
• W2908045113 hasConcept C41008148 @default.
• W2908045113 hasConceptScore W2908045113C105795698 @default.
• W2908045113 hasConceptScore W2908045113C117251300 @default.
• W2908045113 hasConceptScore W2908045113C124101348 @default.
• W2908045113 hasConceptScore W2908045113C149782125 @default.
• W2908045113 hasConceptScore W2908045113C24574437 @default.
• W2908045113 hasConceptScore W2908045113C33923547 @default.
• W2908045113 hasConceptScore W2908045113C41008148 @default.
• W2908045113 hasIssue "1" @default.
• W2908045113 hasLocation W29080451131 @default.
• W2908045113 hasOpenAccess W2908045113 @default.
• W2908045113 hasPrimaryLocation W29080451131 @default.
• W2908045113 hasRelatedWork W1873475443 @default.
• W2908045113 hasRelatedWork W2092974266 @default.
• W2908045113 hasRelatedWork W2114217705 @default.
• W2908045113 hasRelatedWork W2140012311 @default.
• W2908045113 hasRelatedWork W2145812012 @default.
• W2908045113 hasRelatedWork W2743729757 @default.
• W2908045113 hasRelatedWork W3122548959 @default.
• W2908045113 hasRelatedWork W3168004782 @default.
• W2908045113 hasRelatedWork W4241658812 @default.
• W2908045113 hasRelatedWork W4280562666 @default.
• W2908045113 hasVolume "2014" @default.
• W2908045113 isParatext "false" @default.
• W2908045113 isRetracted "false" @default.
• W2908045113 magId "2908045113" @default.
• W2908045113 workType "article" @default.