NEMO: 1km Anthropogenic Emissions Data for CONUS 2017

Neighborhood Emission Mapping Operation (NEMO) is an anthropogenic emission dataset for the contiguous United States (CONUS) based on the US EPA National Emission Inventories 2017. It was produced by the Air Quality Laboratory at George Mason University and provides hourly emissions for four representative days each month, allocated to 1km grids using 108 spatial surrogates. The dataset includes gaseous and particulate pollutants speciated for the Carbon Bond 6 chemical mechanism across 9 source sectors.

Use Cases

• Modeling air pollutant dispersion and chemical transformation based on hourly emissions data.
• Analyzing sector-specific emission contributions based on the 9 grouped source sectors.
• Assessing spatial patterns of pollution for environmental justice studies based on 1km grid allocation.
• Validating and improving regional air quality models based on speciated pollutants for the Carbon Bond 6 mechanism.

Strengths

• Provides emissions at a fine 1km spatial resolution.
• Includes hourly data for four representative days each month.
• Covers the contiguous United States (CONUS) for the year 2017.
• Speciates pollutants for the Carbon Bond 6 chemical mechanism.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is based on a single year (2017) and may not reflect current conditions.

Provenance

Source

Air Quality Laboratory at George Mason University.

Collection Method

Based on US EPA National Emission Inventories 2017, allocated using 108 spatial surrogates.

Time Range

2017.

Freshness

Last updated 2025-10-12 16:30:07; freshness should be verified.

Geography

Contiguous United States (CONUS).