Data for: Projecting changes in the frequency and magnitude of ozone pollution events under uncertain climate sensitivity
收藏DataONE2024-04-23 更新2025-08-02 收录
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Climate change is projected to worsen ozone pollution over many populated regions, with larger impacts at higher concentrations. More intense and frequent ozone episodes risk setbacks to human health and environmental policy achievements. However, assessing these changes is complicated by uncertain climate sensitivity, closely related to climate model response, and internal variability in simulations projecting climateâs influence on air quality. Here, leveraging a global modeling framework that one-way couples a human activity model, an Earth system model of intermediate complexity, and an atmospheric chemistry model, we investigate the role of climate sensitivity in climate-induced changes to high ozone pollution episodes in the United States using multiple greenhouse gas emissions scenarios, representations of climate sensitivity, and initial condition members. We bias correct and evaluate historical model simulations, identifying modeled and observed O3 episodes using extreme value ..., , , # README for Projecting changes in the frequency and magnitude of ozone pollution events under uncertain climate sensitivity
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Contact: [f_garcia@ncsu.edu](mailto:f_garcia@ncsu.edu)
Data included in this folder are described below
## Description of the data and file structure
### GRIDDED DATA
Files are provided in NetCDF format on a global grid, with data masked outside the U.S. The following types of data are included:
* Bias-corrected MDA8 ozone concentrations (folder camchem_adj)
* Annual files of daily MDA8 ozone-season concentrations are included for each available climate sensitivity, emissions scenario, and initial condition ensemble member at beginning, middle, and end-century. Each file contains 153 days of gridded ozone-season bias-corrected concentrations.
* File name convention: POL.CS.IC.YYYY-YYYY.yyyy.AQ.nc where POL is the emissions scenario (REF, P45, or P37), CS is the climate sensitivity scenario (CS45, CS30, CS20), YYYY-YYYY is the time span ind...
创建时间:
2025-07-30



