Christoph A Keller
Biographic Data
| ID | 6821638 |
|---|---|
| NAME | Christoph A Keller |
| GIVEN NAMES | Christoph A |
| FAMILY NAME | Keller |
| SIGNATURE | KELLER C A |
| AFFILIATIONS | Goddard Space Flight Center |
| ORCID | 0000-0002-0552-4298 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Using Regionalized Air Quality Model Performance and Bayesian Maximum Entropy data fusion to map global surface ozone concentration
Estimates of ground-level ozone concentrations have been improved through data fusion of observations and atmospheric chemistry models. Our previous global ozone estimates for the Global Burden of Disease study corrected for bias uniformly across continents and then corrected near monitoring stations using the Bayesian Maximum Entropy (BME) framework for data fusion. Here, we use the Regionalized Air Quality Model Performance (RAMP) framework to …
Diesel passenger vehicle shares influenced Covid-19 changes in urban nitrogen dioxide pollution
Diesel-powered vehicles emit several times more nitrogen oxides than comparable gasoline-powered vehicles, leading to ambient nitrogen dioxide (NO 2 ) pollution and adverse health impacts. The COVID-19 pandemic and ensuing changes in emissions provide a natural experiment to test whether NO 2 reductions have been starker in regions of Europe with larger diesel passenger vehicle shares. Here we use a semi-empirical approach that combines in-situ N…
No prominent works on this page.
Diesel passenger vehicle shares influenced Covid-19 changes in urban nitrogen dioxide pollution
Diesel-powered vehicles emit several times more nitrogen oxides than comparable gasoline-powered vehicles, leading to ambient nitrogen dioxide (NO 2 ) pollution and adverse health impacts. The COVID-19 pandemic and ensuing changes in emissions provide a natural experiment to test whether NO 2 reductions have been starker in regions of Europe with larger diesel passenger vehicle shares. Here we use a semi-empirical approach that combines in-situ N…
Using Regionalized Air Quality Model Performance and Bayesian Maximum Entropy data fusion to map global surface ozone concentration
Estimates of ground-level ozone concentrations have been improved through data fusion of observations and atmospheric chemistry models. Our previous global ozone estimates for the Global Burden of Disease study corrected for bias uniformly across continents and then corrected near monitoring stations using the Bayesian Maximum Entropy (BME) framework for data fusion. Here, we use the Regionalized Air Quality Model Performance (RAMP) framework to …
Air Quality and Health Impacts (2 works) · Air Quality Monitoring and Forecasting (2 works) · Atmospheric sciences (2 works) · Environmental Science (2 works) · Geography (2 works) · Meteorology (2 works) · Physics (2 works) · Air pollution (1 works) · Air quality index (1 works) · Automotive Engineering (1 works)