Yiran Peng
Biographic Data
| ID | 7996694 |
|---|---|
| NAME | Yiran Peng |
| GIVEN NAMES | Yiran |
| FAMILY NAME | Peng |
| SIGNATURE | PENG Y |
| AFFILIATIONS | Tsinghua University |
| ORCID | 0000-0002-3686-5458 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China
Improved 1 km resolution PM 2.5 estimates across China using enhanced space–time extremely randomized trees
Fine particulate matter with aerodynamic diameters ≤2.5 μm (PM2.5) has adverse effects on human health and the atmospheric environment. The estimation of surface PM2.5 concentrations has made intensive use of satellite-derived aerosol products. However, it has been a great challenge to obtain high-quality and high-resolution PM2.5 data from both ground and satellite observations, which is essential to monitor air pollution over small-scale areas …
Dispersion bias, dispersion effect, and the aerosol–cloud conundrum
This work examines the influences of relative dispersion (the ratio of the standard deviation to the mean radius of the cloud droplet size distribution) on cloud albedo and cloud radiative forcing, derives an analytical formulation that accounts explicitly for the contribution from droplet concentration and relative dispersion, and presents a new approach to parameterize relative dispersion in climate models. It is shown that inadequate represent…
No prominent works on this page.
Dispersion bias, dispersion effect, and the aerosol–cloud conundrum
This work examines the influences of relative dispersion (the ratio of the standard deviation to the mean radius of the cloud droplet size distribution) on cloud albedo and cloud radiative forcing, derives an analytical formulation that accounts explicitly for the contribution from droplet concentration and relative dispersion, and presents a new approach to parameterize relative dispersion in climate models. It is shown that inadequate represent…
Improved 1 km resolution PM 2.5 estimates across China using enhanced space–time extremely randomized trees
Fine particulate matter with aerodynamic diameters ≤2.5 μm (PM2.5) has adverse effects on human health and the atmospheric environment. The estimation of surface PM2.5 concentrations has made intensive use of satellite-derived aerosol products. However, it has been a great challenge to obtain high-quality and high-resolution PM2.5 data from both ground and satellite observations, which is essential to monitor air pollution over small-scale areas …
Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China
Aerosol (3 works) · Air Quality and Health Impacts (3 works) · Atmospheric chemistry and aerosols (3 works) · Environmental Science (3 works) · Meteorology (3 works) · Air pollution (2 works) · Air quality index (2 works) · Air Quality Monitoring and Forecasting (2 works) · Atmospheric sciences (2 works) · Geography (2 works)