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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Bibliographic Details
Title: Statistical downscaling of coarse-resolution fine particulate matter predictions over the contiguous United States: model development, evaluation, and implication in health impact assessment.
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
Description
ISSN:1879-1026
DOI:10.1016/j.scitotenv.2025.180302