A5019226438- Atmospheric chemistry and aerosols
- Atmospheric Ozone and Climate
- Atmospheric and Environmental Gas Dynamics
- Air Quality and Health Impacts
- Atmospheric aerosols and clouds
- Air Quality Monitoring and Forecasting
- Reservoir Engineering and Simulation Methods
- Climate variability and models
- Energy and Environment Impacts
- Graphite, nuclear technology, radiation studies
- Meteorological Phenomena and Simulations
- Energy, Environment, and Transportation Policies
- Nuclear and radioactivity studies
- Climate Change and Health Impacts
- Vehicle emissions and performance
- CO2 Sequestration and Geologic Interactions
- Geochemistry and Geologic Mapping
Washington University in St. Louis
2020-2024
Dalhousie University
2020-2021
Annual global satellite-based estimates of fine particulate matter (PM2.5) are widely relied upon for air-quality assessment. Here, we develop and apply a methodology monthly uncertainties during the period 1998–2019, which combines satellite retrievals aerosol optical depth, chemical transport modeling, ground-based measurements to allow characterization seasonal episodic exposure, as well aid management. Many densely populated regions have their highest PM2.5 concentrations in winter,...
Ambient fine particulate matter (PM2.5) is the world's leading environmental health risk factor. Reducing PM2.5 disease burden requires specific strategies that target dominant sources across multiple spatial scales. We provide a contemporary and comprehensive evaluation of sector- fuel-specific contributions to this 21 regions, 204 countries, 200 sub-national areas by integrating 24 global atmospheric chemistry-transport model sensitivity simulations, high-resolution satellite-derived...
Fine particulate matter (PM2.5) exposure is a leading mortality risk factor in India and the surrounding region of South Asia. This study evaluates contribution emission sectors fuels to PM2.5 mass for 29 states 6 countries (Pakistan, Bangladesh, Nepal, Bhutan, Sri Lanka, Myanmar) by combining source-specific estimates, stretched grid simulations from chemical transport model, high resolution hybrid PM2.5, disease-specific estimates. We find that 1.02 (95% Confidence Interval (CI):...
Abstract. We describe a new generation of the high-performance GEOS-Chem (GCHP) global model atmospheric composition developed as part version 13 series. is an open-source grid-independent that can be used online within meteorological simulation or offline using archived data. GCHP implementation driven by NASA Goddard Earth Observing System (GEOS) data for massively parallel simulations. Version offers major advances in ease use, computational performance, versatility, resolution, and...
Abstract. Modeling atmospheric chemistry at fine resolution globally is computationally expensive; the capability to focus on specific geographic regions using a multiscale grid desirable. Here, we develop, validate, and demonstrate stretched grids in GEOS-Chem model its high-performance implementation (GCHP). These are specified runtime by four parameters that offer users nimble control of region refined refinement. We validate stretched-grid simulation versus global cubed-sphere...
Abstract. The lifetime and concentration of nitrogen oxides (NOx) are susceptible to nonlinear production loss the resolution a chemical transport model (CTM). This is due strong spatial gradients NOx dependence its own on such gradients. In this study, we use GEOS-Chem CTM in high-performance implementation (GCHP) investigate simulations over eastern United States across wide range resolutions (six different horizontal grids from 13 181 km). Following increasing grid size, afternoon surface...
High-resolution simulations are essential to resolve fine-scale air pollution patterns due localized emissions, nonlinear chemical feedbacks, and complex meteorology. However, high-resolution global of quality remain rare, especially the Global South. Here, we exploit recent developments GEOS-Chem model in its high-performance implementation conduct 1-year 2015 at cubed-sphere C360 (∼25 km) C48 (∼200 resolutions. We investigate resolution dependence population exposure sectoral contributions...
Abstract. Accurate representation of aerosol optical properties is essential for the modeling and remote sensing atmospheric aerosols. Although are strongly dependent upon size distribution, use detailed microphysics schemes in global models inhibited by associated computational demands. Computationally efficient parameterizations needed. In this study, airborne measurements over United States (DISCOVER-AQ) South Korea (KORUS-AQ) interpreted with a chemical transport model (GEOS-Chem) to...
Exposure to fine particulate matter (PM2.5) is the leading environmental risk factor for mortality globally. Satellite-derived estimates of surface PM2.5 developed from a combination satellites, simulations, and ground monitor data are relied upon health impact studies. The ability develop satellite-derived requires continued availability aerosol optical depth (AOD) sources. This work examines addition or loss satellite AOD sources on global estimation continuing long-term record with...
Abstract. Modeling atmospheric chemistry at fine resolution globally is computationally expensive; the capability to focus on specific geographic regions using a multiscale grid desirable. Here, we develop, validate, and demonstrate stretched-grids in GEOS-Chem model its high performance implementation (GCHP). These grids are specified runtime by four parameters that offer users nimble control of region refined refinement. We validate stretched-grid simulation versus global cubed-sphere...
Abstract. We describe a new generation of the high-performance GEOS-Chem (GCHP) global model atmospheric composition developed as part version 13 series. is an open-source grid-independent that can be used online within meteorological simulation or off-line using archived data. GCHP offline implementation driven by NASA Goddard Earth Observing System (GEOS) data for massively parallel simulations. Version offers transformational advances in ease use, computational performance, versatility,...
Abstract Many chemical transport models treat mineral dust as spherical. Solar backscatter retrievals of trace gases (e.g., OMI and TROPOMI) implicitly The impact the morphology particles is studied to assess its implications for global model (GEOS‐Chem) simulations solar gas at ultraviolet visible (UV‐Vis) wavelengths. We investigate how affects simulated aerosol optical depth; surface area, reaction, diffusion parameters heterogeneous chemistry; phase function, scattering weights air mass...
Abstract Global modeling of aerosol‐particle number and size is important for understanding aerosol effects on Earth's climate air quality. Fine‐resolution global models are desirable representing nonlinear aerosol‐microphysical processes, their interactions with dynamics chemistry, spatial heterogeneity. However, simulations computationally demanding, which can limit the achievable horizontal resolution. Here, we present first coupling TwO‐Moment Aerosol Sectional (TOMAS) microphysics...
Ambient air pollution is the largest environmental health risk factor, leading to several million premature deaths globally per year. The challenge of combating poor quality exacerbated by growing urban populations, changing emissions, and a warming climate. While there have been many advances monitoring modeling atmospheric composition, reflected in dramatic increase archived Earth Observations, no single measurement or method that alone can provide an accurate depiction entire atmosphere....
Abstract. The lifetime and concentration of nitrogen oxides (NOx) are susceptible to non-linear production loss, con- sequently the resolution a chemical transport model (CTM). Here we use GEOS-Chem CTM in its high performance implementation (GCHP) investigate NOx simulations over eastern United States across wide range resolutions (13–181 km). Following increasing grid size, daytime surface concentrations July 2015 generally decrease Great Lakes (GL) region increase Southern (SS), yielding...
Abstract. Accurate representation of aerosol optical properties is essential for modeling and remote sensing atmospheric aerosols. Although are strongly dependent upon the size distribution, use detailed microphysics schemes in global models inhibited by associated computational demands. Computationally efficient parameterizations needed. In this study, airborne measurements over United States (DISCOVER-AQ) South Korea (KORUS-AQ) interpreted with a chemical transport model (GEOS-Chem) to...