Beiming Tang
Biographic Data
| ID | 9035447 |
|---|---|
| NAME | Beiming Tang |
| GIVEN NAMES | Beiming |
| FAMILY NAME | Tang |
| SIGNATURE | TANG B |
| AFFILIATIONS | University of Iowa |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
WRF-Chem quantification of transport events and emissions sensitivity in Korea during Korus-AQ
To quantify the relative roles of long-range transport (LRT) versus locally emitted aerosol and ozone precursors during polluted periods in Korea, high-resolution (4 km) Weather Research and Forecasting with Chemistry model simulations were performed. The model was evaluated using surface and airborne observations collected during the KORea and United States Air Quality campaign. Ozone above 40 ppb had mean bias of −5.9 ppb. PM2.5 was biased high…
Multi-model intercomparisons of air quality simulations for the Korus-AQ campaign
The Korea-United States Air Quality (KORUS-AQ) field study was conducted during May–June 2016 to understand the factors controlling air quality in South Korea. Extensive aircraft and ground network observations from the campaign offer an opportunity to address issues in current air quality models and reduce model-observation disagreements. This study examines these issues using model evaluation against the KORUS-AQ observations and intercompariso…
No prominent works on this page.
Multi-model intercomparisons of air quality simulations for the Korus-AQ campaign
The Korea-United States Air Quality (KORUS-AQ) field study was conducted during May–June 2016 to understand the factors controlling air quality in South Korea. Extensive aircraft and ground network observations from the campaign offer an opportunity to address issues in current air quality models and reduce model-observation disagreements. This study examines these issues using model evaluation against the KORUS-AQ observations and intercompariso…
WRF-Chem quantification of transport events and emissions sensitivity in Korea during Korus-AQ
To quantify the relative roles of long-range transport (LRT) versus locally emitted aerosol and ozone precursors during polluted periods in Korea, high-resolution (4 km) Weather Research and Forecasting with Chemistry model simulations were performed. The model was evaluated using surface and airborne observations collected during the KORea and United States Air Quality campaign. Ozone above 40 ppb had mean bias of −5.9 ppb. PM2.5 was biased high…
Aerosol (2 works) · Air Quality and Health Impacts (2 works) · Air quality index (2 works) · Atmospheric chemistry and aerosols (2 works) · Atmospheric sciences (2 works) · Chemical transport model (2 works) · Chemistry (2 works) · Climatology (2 works) · Combustion (2 works) · Environmental Science (2 works)