Identification_Information: 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: 20000101 Ending_Date: 20161231 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: Browse_Graphic_File_Name: https://sedac.ciesin.columbia.edu/downloads/maps/aqdh/aqdh-o3-concentrations-contiguous-us-1-km-2000-2016/sedac-logo.jpg Browse_Graphic_File_Type: JPEG Spatial_Data_Organization_Information: Direct_Spatial_Reference_Method: Raster Raster_Object_Information: Row_Count: 2891 Column_Count: 4355 Vertical_Count: 1 Spatial_Reference_Information: 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: 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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Digital_Form: Digital_Transfer_Information: Format_Name: Shapefile Digital_Transfer_Option: Online_Option: Computer_Contact_Information: Network_Address: Network_Resource_Name: https://sedac.ciesin.columbia.edu/data/set/aqdh-o3-concentrations-contiguous-us-1-km-2000-2016/data-download Access_Instructions: Data accessible via the data set landing page. Available_Time_Period: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 20211213 Ending_Date: Present Metadata_Reference_Information: Metadata_Date: 20210922 Metadata_Review_Date: 20220831 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