Improved 1-km-resolution PM2.5 estimates across China using the space-time extremely randomized trees

Abstract

1. State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China 2. Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA 10 3. State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China 4. College of Geomatics, Shandong University of Science and Technology, Qingdao, China 5. State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China 6. Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, 15 Tsinghua University, Beijing, China 7. Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China 8. Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA 9. College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China 10. Department of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong, Hong 20 Kong