Meteorological Data Extracted from HRRR Used for the paper: Optimization of the Gaussian Dispersion Model Inversion for Estimating Facility Scale Methane Emissions in Canada by Shoma Yamanouchi et al., 2026

Meteorological Data Extracted from HRRR Used for the paper: Optimization of the Gaussian Dispersion Model Inversion for Estimating Facility Scale Methane Emissions in Canada by Shoma Yamanouchi et al., 2026

Data extracted from the High-Resolution Rapid Refresh (HRRR) atmospheric model (v4) was used to create this datase. HRRR is a 3-km resolution, hourly updated (real-time), cloud-resolving, convection-allowing atmospheric model, and is initialized by 3km grids with 3km radar assimilation. HRRR is developed and managed by the National Oceanic & Atmospheric Administration. For more details on HRRR, see: https://rapidrefresh.noaa.gov/hrrr/ and https://doi.org/10.1175/WAF-D-21-0151.1. 

This dataset is a CSV file with the following headers: run_name,lat,lon,PBLH(m),frictional_velocity(m/s),convective_velocity(m/s),LMO(m),coriolis_parameter(1/s),wind_speed(m/s),wind_direction(deg),surface_roughness(m). The run_name refers to the run used in the paper mentioned above. The units are given in the parenthesis.

Contact information: [e-mail]