Statistical downscaling of coarse-resolution fine particulate matter predictions over the contiguous United States: model development, evaluation, and implication in health impact assessment.
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| Title: | Statistical downscaling of coarse-resolution fine particulate matter predictions over the contiguous United States: model development, evaluation, and implication in health impact assessment. |
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| Authors: | Farzad K; Department of Civil and Environmental Engineering, Northeastern University, Boston, MA 02115, USA., Zhang Y; Department of Civil and Environmental Engineering, Northeastern University, Boston, MA 02115, USA. Electronic address: ya.zhang@northeastern.edu., Wang K; Department of Civil and Environmental Engineering, Northeastern University, Boston, MA 02115, USA; Lynker Technologies, Leesburg, VA 20176, USA; NOAA/NWS/NCEP/EMC, College Park, MD 20740, USA., Chen X; Department of Civil and Environmental Engineering, Northeastern University, Boston, MA 02115, USA; Guangzhou Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou 510640, China., Goldberg DL; Department of Environmental and Occupational Health, Milken Institute School of Public Health, George Washington University, Washington, DC 20052, USA., Lyapustin A; NASA, Goddard Space Flight Center, Greenbelt, MD 20771, USA., Wang Y; NASA, Goddard Space Flight Center, Greenbelt, MD 20771, USA; Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, MD 21228, USA., Bell ML; School of Forestry & Environmental Studies, Yale University, New Haven, CT 06511, USA. |
| Source: | The Science of the total environment [Sci Total Environ] 2025 Oct 15; Vol. 999, pp. 180302. Date of Electronic Publication: 2025 Aug 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0330500 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1026 (Electronic) Linking ISSN: 00489697 NLM ISO Abbreviation: Sci Total Environ Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40865438 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Statistical downscaling of coarse-resolution fine particulate matter predictions over the contiguous United States: model development, evaluation, and implication in health impact assessment. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Farzad+K%22">Farzad K</searchLink>; Department of Civil and Environmental Engineering, Northeastern University, Boston, MA 02115, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+Y%22">Zhang Y</searchLink>; Department of Civil and Environmental Engineering, Northeastern University, Boston, MA 02115, USA. Electronic address: ya.zhang@northeastern.edu.<br /><searchLink fieldCode="AU" term="%22Wang+K%22">Wang K</searchLink>; Department of Civil and Environmental Engineering, Northeastern University, Boston, MA 02115, USA; Lynker Technologies, Leesburg, VA 20176, USA; NOAA/NWS/NCEP/EMC, College Park, MD 20740, USA.<br /><searchLink fieldCode="AU" term="%22Chen+X%22">Chen X</searchLink>; Department of Civil and Environmental Engineering, Northeastern University, Boston, MA 02115, USA; Guangzhou Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou 510640, China.<br /><searchLink fieldCode="AU" term="%22Goldberg+DL%22">Goldberg DL</searchLink>; Department of Environmental and Occupational Health, Milken Institute School of Public Health, George Washington University, Washington, DC 20052, USA.<br /><searchLink fieldCode="AU" term="%22Lyapustin+A%22">Lyapustin A</searchLink>; NASA, Goddard Space Flight Center, Greenbelt, MD 20771, USA.<br /><searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; NASA, Goddard Space Flight Center, Greenbelt, MD 20771, USA; Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, MD 21228, USA.<br /><searchLink fieldCode="AU" term="%22Bell+ML%22">Bell ML</searchLink>; School of Forestry & Environmental Studies, Yale University, New Haven, CT 06511, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220330500%22">The Science of the total environment</searchLink> [Sci Total Environ] 2025 Oct 15; Vol. 999, pp. 180302. <i>Date of Electronic Publication: </i>2025 Aug 26. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>0330500 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-1026 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200489697%22">00489697 </searchLink><i>NLM ISO Abbreviation: </i>Sci Total Environ <i>Subsets: </i>MEDLINE; PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40865438 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.scitotenv.2025.180302 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 180302 Titles: – TitleFull: Statistical downscaling of coarse-resolution fine particulate matter predictions over the contiguous United States: model development, evaluation, and implication in health impact assessment. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Farzad K – PersonEntity: Name: NameFull: Zhang Y – PersonEntity: Name: NameFull: Wang K – PersonEntity: Name: NameFull: Chen X – PersonEntity: Name: NameFull: Goldberg DL – PersonEntity: Name: NameFull: Lyapustin A – PersonEntity: Name: NameFull: Wang Y – PersonEntity: Name: NameFull: Bell ML IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 10 Text: 2025 Oct 15 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1879-1026 Numbering: – Type: volume Value: 999 Titles: – TitleFull: The Science of the total environment Type: main |
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