Daily 8-Hour Maximum and Annual O3 Concentrations for the Contiguous United States, 1-km Grids, v1 (2000 - 2016)
Identification_Information
Spatial_Data_Organization_Information
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Distribution_Information
Metadata_Reference_Information
Identification Information
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Citation:
Citation Information:
Originator: Requia, W. J., Y. Wei, A. Shtein, C. Hultquist, X. Xing, Q. Di, R. Silvern, J. T. Kelly, P. Koutrakis, L. J. Mickley, M. P. Sulprizio, H. Amini, L. Shi, and J. Schwartz
Publication Date: 20211213
Title: Daily 8-Hour Maximum and Annual O3 Concentrations for the Contiguous United States, 1-km Grids, v1 (2000 - 2016)
Edition: 1.00
Geospatial Data Presentation Form: raster, tabular, vector
Publication Information:
Publication Place: Palisades, NY
Publisher: NASA Socioeconomic Data and Applications Center (SEDAC)
Online Linkage: https://doi.org/10.7927/a4mb-4t86
Larger Work Citation:
Citation Information:
Originator: Requia, W. J., Q. Di, R. Silvern, J. T. Kelly, P. Koutrakis, L. J. Mickley, M. P. Sulprizio, H. Amini, L. Shi, and J. Schwartz
Publication Date: 20200818
Title: An Ensemble Learning Approach for Estimating High Spatiotemporal Resolution of Ground-level Ozone in the Contiguous U.S
Geospatial Data Presentation Form: journal article
Series Information:
Series Name: Environmental Science & Technology
Issue Identification: 54(18):11037-11047
Online Linkage: https://doi.org/10.1021/acs.est.0c01791
Description:
Abstract:
The Daily 8-Hour Maximum and Annual O3 Concentrations for the Contiguous United States, 1-km Grids, v1 (2000 - 2016) data set contains estimates of ozone concentrations at a high resolution in space (1 km x 1 km grid cells) and time (daily) for the years 2000 to 2016. These predictions incorporated various predictor variables such as Ozone (O3) ground measurements from the U.S. Environmental Protection Agency (EPA) Air Quality System (AQS) monitoring data, land-use variables, meteorological variables, chemical transport models and remote sensing data, along with other data sources. After imputing missing data with machine learning algorithms, a geographically weighted ensemble model was applied that combined estimates from three types of machine learners (neural network, random forest, and gradient boosting). The annual predictions were computed by averaging the daily 8-hour maximum predictions in each year for each grid cell. The results demonstrate high overall model performance with a cross-validated R-squared value against daily observations of 0.90 and 0.86 for annual averages.
Purpose:
To provide daily 8-hour maximum and annual ground-level Ozone (O3) concentration data in the U.S. at a resolution of 1 km (about 30 arc-seconds) for public health research to respectively estimate short- and long-term 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: 2016/12/31
Currentness Reference: publication date
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 > ATMOSPHERIC CHEMISTRY > OXYGEN COMPOUNDS > ATMOSPHERIC OZONE > TOTAL OZONE
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:
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_DAO3_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.
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Fees: 0
Ordering Instructions: The data in Georeferenced Tagged Image File Format (.tif), RData (.rds), and Shapefile (.shp) formats are available from the NASA Socioeconomic Data and Applications Center (SEDAC).
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Computer Contact Information:
Access Instructions: Data accessible via the data set landing page.
Digital Form:
Digital Transfer Information:
Digital Transfer Option:
Online Option:
Computer Contact Information:
Access Instructions: Data accessible via the data set landing page.
Digital Form:
Digital Transfer Information:
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: 2021/12/13
Ending Date: Present
Metadata Reference Information
Section Index
Metadata Date: 2021/09/22
Metadata Review Date: 2022/08/31
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 Wednesday, August 31, 2022