Daily and Annual NO2 Concentrations for the Contiguous United States, 1-km Grids, v1 (2000 - 2016)

The Daily and Annual NO2 Concentrations for the Contiguous United States, 1-km Grids, v1 (2000-2016) data set contains daily predictions of Nitrogen Dioxide (NO2) concentrations at a high resolution (1 km x 1 km grid cells) for the years 2000 to 2016. An ensemble modeling framework was used to assess NO2 levels with high accuracy, which combined estimates from three machine learning models (neural network, random forest, and gradient boosting), with a generalized additive model. Predictor variables included NO2 column concentrations from satellites, land-use variables, meteorological variables, predictions from two chemical transport models, GEOS-Chem and the U.S. Environmental Protection Agency (EPA) CommUnity Multiscale Air Quality Modeling System (CMAQ), along with other ancillary variables. The annual predictions were calculated by averaging the daily predictions for each year in each grid cell. The ensemble produced a cross-validated R-squared value of 0.79 overall, a spatial R-squared value of 0.84, and a temporal R-squared value of 0.73.

Data and Resources

Additional Info

Field Value
Maintainer undefined
Last Updated July 17, 2025, 17:02 (UTC)
Created April 23, 2025, 22:59 (UTC)
accessLevel public
bureauCode {026:00}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://data.nasa.gov/data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
citation Di, Q., Y. Wei, A. Shtein, C. Hultquist, X. Xing, H. Amini, L. Shi, I. Kloog, R. Silvern, J. T. Kelly, M. B. Sabath, C. Choirat, P. Koutrakis, A. Lyapustin, Y. Wang, L. J. Mickley, and J. Schwartz. 2022-06-21. Daily and Annual NO2 Concentrations for the Contiguous United States, 1-km Grids, v1 (2000 - 2016). Version 1.00. Palisades, NY. Archived by National Aeronautics and Space Administration, U.S. Government, NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/10.7927/f8eh-5864. https://doi.org/10.7927/f8eh-5864.
creator Di, Q., Y. Wei, A. Shtein, C. Hultquist, X. Xing, H. Amini, L. Shi, I. Kloog, R. Silvern, J. T. Kelly, M. B. Sabath, C. Choirat, P. Koutrakis, A. Lyapustin, Y. Wang, L. J. Mickley, and J. Schwartz
graphic-preview-description Sample browse graphic of the data set.
graphic-preview-file https://sedac.ciesin.columbia.edu/downloads/maps/aqdh/aqdh-no2-concentrations-contiguous-us-1-km-2000-2016/sedac-logo.jpg
harvest_object_id 5d4edbaa-a6d0-482a-8693-140d16cb690c
harvest_source_id 61638e72-b36c-4866-9d28-551a3062f158
harvest_source_title DNG Legacy Data
identifier C2302636732-SEDAC
issued 2022-06-21
language {en-US}
metadata_type geospatial
modified 2022-06-21
programCode {026:001}
publisher SEDAC
release-place Palisades, NY
resource-type Dataset
source_datajson_identifier true
source_hash 130ea94206ae1ccced416cc7a2ce79a505a314723a28cfb7b385f6ec2376d1bf
source_schema_version 1.1
spatial -180.0 17.0 -65.0 72.0
temporal 2000-01-01T00:00:00Z/2016-12-31T00:00:00Z
theme {AQDH,geospatial}