Annual Mean PM2.5 Components (EC, NH4, NO3, OC, SO4) 50m Urban and 1km Non-Urban Area Grids for Contiguous U.S., 2000-2019 v1
Identification_Information
Spatial_Data_Organization_Information
Spatial_Reference_Information
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Metadata_Reference_Information
Identification Information
Section Index
Citation:
Citation Information:
Originator:
Amini, H., M. Danesh-Yazdi, Q. Di, W. Requia, Y. Wei, Y. AbuAwad, L. Shi, M. Franklin, C.-M. Kang, J. M. Wolfson, P. James, R. Habre, Q. Zhu, J. S. Apte, Z. J. Andersen, X. Xing, C. Hultquist, I. Kloog, F. Dominici, P. Koutrakis, and J. Schwartz
Publication Date: 20230428
Title: Annual Mean PM2.5 Components (EC, NH4, NO3, OC, SO4) 50m Urban and 1km Non-Urban Area Grids for Contiguous U.S., 2000-2019 v1
Edition: 1.00
Geospatial Data Presentation Form: tabular
Publication Information:
Publication Place: Palisades, NY
Publisher: NASA Socioeconomic Data and Applications Center (SEDAC)
Online Linkage: https://doi.org/10.7927/7wj3-en73
Description:
Abstract:
The Annual Mean PM2.5 Components (EC, NH4, NO3, OC, SO4) 50m Urban and 1km Non-Urban Area Grids for Contiguous U.S., 2000-2019, v1 data set contains annual predictions of the chemical concentrations at a hyper resolution (50m x 50m grid cells) in urban areas and at a high resolution (1km x 1km grid cells) in non-urban areas for the years 2000 to 2019. Particulate matter with an aerodynamic diameter less than 2.5 µm (PM2.5) increases mortality and morbidity. PM2.5 is composed of a mixture of chemical components that vary across space and time. Due to limited hyperlocal data availability, less is known about health risks of PM2.5 components, their U.S.-wide exposure disparities, or which species are driving the biggest intra-urban changes in PM2.5 mass. The national super-learned models were developed across the U.S. for hyperlocal estimation of annual mean elemental carbon, ammonium, nitrate, organic carbon, and sulfate concentrations across 3,535 urban areas at a 50m spatial resolution, and at a 1km resolution for non-urban areas from 2000 to 2019. Using Machine-Learning models (ML), combined with either a Generalized Additive Model (GAM) Ensemble Geographically-Weighted-Averaging (GAM-ENWA) or Super-Learning (SL) and approximately 82 billion predictions across 20 years, hyperlocal super-learned PM2.5 components are now available for further research. The overall R-squared values of 10-fold cross validated models ranged from 0.910 to 0.970 on the training sets for these components, while on the test sets the R-squared values ranged from 0.860 to 0.960. Remarkable spatiotemporal intra-urban and inter-urban variabilities were found in PM2.5 components. The Coordinate Reference System (CRS) for predictions is the World Geodetic System 1984 (WGS84) and the units for the PM2.5 Components are µg/m^3. The data are provided in RDS tabular format, a file format native to the R programming language, but can also be opened by other languages such as Python.
Purpose:
To provide annual PM2.5 component concentration data for the contiguous U.S. at resolutions of 50m in urban areas and 1km in non-urban areas for public health research to estimate effects on human health, and for other related research.
Time Period of Content:
Time Period Information:
Range of Dates/Times:
Beginning Date: 2000/01/01
Ending Date: 2019/12/31
Currentness Reference: publication date
Status:
Progress: Complete
Maintenance and Update Frequency: As needed
Spatial Domain:
Bounding Coordinates:
West Bounding Coordinate: -180.000000
East Bounding Coordinate: -65.000000
North Bounding Coordinate: 72.000000
South Bounding Coordinate: 17.000000
Keywords:
Theme:
Theme Keyword Thesaurus: SEDAC Theme
Theme Keyword: Health
Theme:
Theme Keyword Thesaurus: GCMD Science Keywords, Version 8.6
Theme Keyword: EARTH SCIENCE > ATMOSPHERE > AEROSOLS > PARTICULATE MATTER
Theme Keyword: EARTH SCIENCE > ATMOSPHERE > AIR QUALITY > PARTICULATES
Theme:
Theme Keyword Thesaurus: Data Granularity
Theme Keyword: Country
Theme:
Theme Keyword Thesaurus: ISO Topic
Theme Keyword: Environment
Theme Keyword: Health
Place:
Place Keyword Thesaurus: CIESIN Location Terms, Version 3.1
Place Keyword: United States of America
Access Constraints: None
Use Constraints:
This work is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided
Point of Contact:
Contact Information:
Contact Organization Primary:
Contact Organization: NASA Socioeconomic Data and Applications Center (SEDAC)
Contact Address:
Address Type: mailing and physical address
Address: CIESIN, Columbia University, 61 Route 9W, P.O. Box 1000
City: Palisades
State or Province: New York
Postal Code: 10964
Country: United States
Contact Voice Telephone: +1 845-365-8920
Contact Facsimile Telephone: +1 845-365-8922
Contact Electronic Mail Address: ciesin.info@ciesin.columbia.edu
Browse Graphic:
Spatial Data Organization Information
Section Index
Direct Spatial Reference Method: Raster
Raster Object Information:
Raster Object Type: Grid Cell
Row Count: 2891
Column Count: 4355
Vertical Count: 1
Spatial Reference Information
Section Index
Horizontal Coordinate System Definition:
Geographic:
Latitude Resolution: 0.008330
Longitude Resolution: 0.008330
Geographic Coordinate Units: Decimal degrees
Geodetic Model:
Horizontal Datum Name: WGS84
Ellipsoid Name: WGS84
Semi-major Axis: 6378137.000000
Denominator of Flattening Ratio: 298.257224
Distribution Information
Section Index
Distributor:
Contact Information:
Contact Organization Primary:
Contact Organization: NASA Socioeconomic Data and Applications Center (SEDAC)
Contact Address:
Address Type: mailing and physical address
Address: CIESIN, Columbia University, 61 Route 9W, P.O. Box 1000
City: Palisades
State or Province: New York
Postal Code: 10964
Country: United States
Contact Voice Telephone: +1 845-365-8920
Contact Facsimile Telephone: +1 845-365-8922
Contact Electronic Mail Address: ciesin.info@ciesin.columbia.edu
Resource Description: CIESIN_SEDAC_AQDH_PM25COM_US_1KM
Distribution Liability:
CIESIN follows procedures designed to ensure that data disseminated by CIESIN are of reasonable quality. If, despite these procedures, users encounter apparent errors or misstatements in the data, they should contact SEDAC User Services at +1 845-365-8920 or via email at ciesin.info@ciesin.columbia.edu. Neither CIESIN nor NASA verifies or guarantees the accuracy, reliability, or completeness of any data provided. CIESIN provides this data without warranty of any kind whatsoever, either expressed or implied. CIESIN shall not be liable for incidental, consequential, or special damages arising out of the use of any data provided by CIESIN.
Standard Order Process:
Ordering Instructions: The data in RData (.rds) format is available from the NASA Socioeconomic Data and Applications Center (SEDAC).
Standard Order Process:
Digital Form:
Digital Transfer Information:
Format Name: Rdata
File Decompression Technique: unzip
Digital Transfer Option:
Online Option:
Computer Contact Information:
Access Instructions: Data accessible via the data set landing page.
Available Time Period:
Time Period Information:
Range of Dates/Times:
Beginning Date: 2023/04/28
Ending Date: Present
Metadata Reference Information
Section Index
Metadata Date: 2022/09/12
Metadata Review Date: 2023/04/28
Metadata Contact:
Contact Information:
Contact Organization Primary:
Contact Organization: Center for International Earth Science Information Network (CIESIN) Metadata Administration
Contact Address:
Address Type: mailing and physical address
Address: CIESIN, Columbia University, 61 Route 9W, P.O. Box 1000
City: Palisades
State or Province: New York
Postal Code: 10964
Country: United States
Contact Voice Telephone: +1 845-365-8988
Contact Facsimile Telephone: +1 845-365-8922
Contact Electronic Mail Address: metadata@ciesin.columbia.edu
Metadata Standard Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata Standard Version: FGDC-STD-001-1998
Metadata Time Convention: local time
GeoMedia
Catalog report generated Friday, April 28, 2023