Improved 1 km resolution PM 2.5 estimates across China using enhanced space–time extremely randomized trees
Beijing Normal University · Earth System Science Interdisciplinary Center · +9 more institutions
Abstract
Abstract. 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 such as metropolitan regions. Here, the space–time extremely randomized trees (STET) model was enhanced by integrating updated spatiotemporal information and additional auxiliary data to improve the spatial resolution and overall accuracy of PM2.5 estimates…
Citation impact
- FWCI
- 33.52
- Percentile
- 100%
- References
- 64
Authors
13- JWJing WeiCorresponding
Beijing Normal University, Earth System Science Interdisciplinary Center, State Key Laboratory of Remote Sensing Science, University of Maryland, College Park
- ZLZhanqing LiCorresponding
Earth System Science Interdisciplinary Center, University of Maryland, College Park
- MCMaureen CribbCorresponding
Earth System Science Interdisciplinary Center, University of Maryland, College Park
- WHWei HuangCorresponding
Beijing Normal University, State Key Laboratory of Remote Sensing Science
- WXWenhao XueCorresponding
Beijing Normal University, State Key Laboratory of Remote Sensing Science
Topics & keywords
- Environmental science
- Aerodynamic diameter
- Satellite
- Aerosol
- Pollution
- Particulates
- Air pollution
- Moderate-resolution imaging spectroradiometer