Modeling the health benefits by transitioning from conventional to zero-emissions appliances standards in the United States (Wellcome-ZEAS) Results Part 2: Air Quality (Statewise Runs) for 2022

CMAQ v5.4+ / DDM-3D building-sector sensitivities for PM2.5, O3 and NO2 — 17 U.S. states, 12 km CONUS grid, 2022 This UNC dataset contains monthly and pseudo-annual (2-month) mean Community Multiscale Air Quality Model (CMAQ) v5.4+ outputs for statewise runs covering 17 states on the 12US1 (12 km) domain, driven by the 2022v1 Emission Modeling Platform (EMP). Each file contains both: Base pollutant concentrations (ACONC) First-order Decoupled Direct Method (DDM-3D) sensitivities (ASENS) of PM2.5 (ATOTIJ), O3 (MDA8O3) and NO2 with respect to precursor emissions from the building sector, stratified into four fuel-based groups The two modeled months — January and July 2022 — are averaged to produce a pseudo-annual mean. Domain, resolution and coverage Modeling domain: 12US1 (CONUS) Horizontal resolution: 12 km × 12 km Grid size: 455 × 299 cells (CONUS coverage) Time coverage: January and July 2022 (monthly means) Pseudo-annual coverage: average of the two months above 🇺🇸 States (17): CA CO CT IL MA MD ME MI MN NJ NV NY OR PA VT WA WI 🏭 Building-sector fuel groups The 2022 Emissions Modeling Platform is based on the 2020 National Emissions Inventory (released spring 2023) with updates to better represent the year 2022. Building-sector emissions from the 2022 Emission Modeling Platform , hosted by U.S. EPA (registry.opendata.aws/epa-2022-modeling-platform), were processed seperately for each state through SMOKE v5.2 (Sparse Matrix Operator Kernel Emissions) into four sub-groups: 🟠 G1G3 — Commercial / Institutional, Oil (oil + fossil fuel + coal) 🔵 G2 — Commercial / Institutional, Gas (natural gas) 🔴 G4G6 — Residential, Oil (oil + fossil fuel + coal) 🟢 G5 — Residential, Gas (natural gas) File naming MONTHLY_ACONC_ASENS_Wellcome_[STATE]_[GROUP]_v54_DDM3D_202201.nc ❄️ January 2022 MONTHLY_ACONC_ASENS_Wellcome_[STATE]_[GROUP]_v54_DDM3D_202207.nc ☀️ July 2022 ANNUAL_ACONC_ASENS_Wellcome_[STATE]_[GROUP]_v54_DDM3D_2022.nc 🔁 Pseudo-annual mean [STATE] → CA, CO, CT, IL, MA, MD, ME, MI, MN, NJ, NV, NY, OR, PA, VT, WA, WI [GROUP] → G1G3, G2, G4G6, G5 📂 Folder structure after untarring: MONTHLY_ACONC_ASENS*.nc and ANNUAL_ACONC_ASENS*.nc 📦 What's inside each file NetCDF files are provided for January and July 2022 plus a pseudo-annual mean, for four groups across the 17 states. Variables fall into three families, all held in the same file. 1️⃣ Base concentrations (ACONC) Ozone: O3_MDA8, O3 Nitrogen oxides: NO2_DMAX, NO2, NO, NOX PM2.5: ATOTIJ (PM2.5) 2️⃣ DDM-3D sensitivities (ASENS) Ozone: MDA8O3_NOX, MDA8O3_VOC, O3_NOX, O3_VOC PM2.5 (ATOTIJ): ATOTIJ_NOX, ATOTIJ_VOC, ATOTIJ_PPM, ATOTIJ_SO2, ATOTIJ_NH3 ⚠️ For ozone, use the sensitivities MDA8O3_NOX and MDA8O3_VOC with the bulk concentration MDA8O3. These are the correctly time_paired MDA8O3 metrics. Sensitivities are determined in the same time window as bulk MDA8O3 is calculated. ATOTIJ_NH3 : PM2.5 sensitivity to NH3 emissions 3️⃣ DDM-3D NO2 sensitivities Provided in the same monthly and pseudo-annual files: NO2_NOX_1HMAX and NO2_NOX. NO2_NOX_1HMAX is computed as follows: For each day and grid cell, identify the hour when NO2 is at its maximum (NO2_DMAX). Extract the sensitivity at that hour and grid cell (paired consistently with time and bulk concentration). Average over days to obtain a monthly mean (and pseudo-annual mean). Units ppb — O3,MDA8O3,NO2 and their sensitivities µg/m³ — ATOTIJ (PM2.5), and and its sensitivities File format and software 📂 Format: netCDF (I/O API convention) 🔧 Typical tools to read: VERDI, Panoply, ncdump/ncview, Python (xarray, netCDF4), R (ncdf4) Model: CMAQ v5.4+ with DDM-3D Size : 1.62 GB (202 Files) Related model and methods references CMAQ v5.4+ (Wyat Appel et al., 2018) CB6r5ae7 chemical mechanism (Luecken et al., 2019) — CB6r5 gas-phase chemical mechanism coupled with the AERO7 aerosol module DDM-3D (Dunker, 1984; Dunker et al., 2002; Koo et al., 2007; Napelenok et al., 2006; Napelenok et al., 2008) ⚠️ Notes and caveats 🔁 "Annual" files are a pseudo-annual mean — the average of January and July 2022 only, not a full 12-month mean. 🏷️ Variable units and grid/projection metadata are stored as in-file netCDF attributes following the I/O API convention. ➕ Sensitivities are first order; they describe the local linear response to emissions perturbations and should be interpreted with care for large perturbations. 🔍 Keywords CMAQ; DDM-3D; air quality modeling; building emissions; PM2.5; ozone; nitrogen dioxide; sensitivities; CB6r5; CONUS; 12US1; pseudo-annual; source apportionment; emissions perturbation; netCDF