Articles | Volume 13, issue 2
https://doi.org/10.5194/amt-13-575-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-575-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Retrieval of gridded aerosol direct radiative forcing based on multiplatform datasets
Yanyu Wang
Shanghai Key Laboratory of Atmospheric Particle Pollution and
Prevention (LAP3), Department of Environmental Science and Engineering,
Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, China
Rui Lyu
Shanghai Key Laboratory of Atmospheric Particle Pollution and
Prevention (LAP3), Department of Environmental Science and Engineering,
Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, China
Xin Xie
Shanghai Key Laboratory of Atmospheric Particle Pollution and
Prevention (LAP3), Department of Environmental Science and Engineering,
Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, China
Ze Meng
School of Oceanography, Shanghai Jiao Tong University, Shanghai,
200030, China
Meijin Huang
Fujian Meteorological Observatory, Fuzhou, 350001, China
Junshi Wu
Shanghai Meteorological Service, Shanghai, 200030, China
Haizhen Mu
Shanghai Meteorological Service, Shanghai, 200030, China
Qiu-Run Yu
Key Laboratory of Meteorological Disaster, Ministry of Education
(KLME)/Joint International Research Laboratory of Climate and Environment
Change (ILCEC), Nanjing University of Information Science and Technology,
Nanjing, 210044, China
Qianshan He
CORRESPONDING AUTHOR
Shanghai Meteorological Service, Shanghai, 200030, China
Shanghai Key Laboratory of Meteorology and Health, Shanghai, 200030,
China
Tiantao Cheng
CORRESPONDING AUTHOR
Department of Atmospheric and Oceanic Sciences, Institute of
Atmospheric Sciences, Fudan University, Shanghai, 200438, China
Shanghai Institute of Eco-Chongming (SIEC), Shanghai, 200062, China
Shanghai Key Laboratory of Atmospheric Particle Pollution and
Prevention (LAP3), Department of Environmental Science and Engineering,
Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, China
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20 citations as recorded by crossref.
- Radiative forcing bias calculation based on COSMO (Core-Shell Mie model Optimization) and AERONET data P. Tiwari et al. 10.1038/s41612-023-00520-1
- Extreme Aerosol Events Over Eastern North America: 1. Characterizing and Simulating Historical Events Y. Guo et al. 10.1029/2020JD033758
- Aerosol optical properties and its direct radiative forcing over Tibetan Plateau from 2006 to 2017 H. Bi et al. 10.1016/j.partic.2022.05.007
- Comparison and evaluation of multiple satellite aerosol products over China in different scenarios under a unified criterion: Preparation for consistent and high-quality dataset construction H. Zhu et al. 10.1016/j.atmosres.2022.106374
- Effect of Aerosols, Tropospheric NO2 and Clouds on Surface Solar Radiation over the Eastern Mediterranean (Greece) G. Alexandri et al. 10.3390/rs13132587
- Long-term multidataset direct aerosol radiative forcing and its efficiencies: Intercomparisons and uncertainties X. Xu et al. 10.1016/j.atmosres.2021.105964
- Evapotranspiration and potential water saving effect evaluation of mulched maize fields in China C. Wang et al. 10.1016/j.jhydrol.2024.130658
- Sensitivity and uncertainties assessment in radiative forcing due to aerosol optical properties in diverse locations in China F. Lu et al. 10.1016/j.scitotenv.2022.160447
- Advanced algorithms on monitoring diurnal variations in dust aerosol properties using geostationary satellite imagery J. Li et al. 10.1016/j.rse.2024.113996
- Radiative effect of atmospheric Brown clouds over the Indo-Gangetic plain M. Jangid et al. 10.1016/j.apr.2024.102085
- Spatiotemporal changes of surface solar radiation: Implication for air pollution and rice yield in East China Y. Wang et al. 10.1016/j.scitotenv.2020.140361
- Global estimation of clear-sky shortwave aerosol direct radiative effects based on CALIPSO observations Z. Shi et al. 10.1080/01431161.2022.2045042
- Validation and diurnal variation evaluation of MERRA-2 multiple aerosol properties on a global scale X. Su et al. 10.1016/j.atmosenv.2023.120019
- The accuracy improvement of clear-sky surface shortwave radiation derived from CERES SSF dataset with a simulation analysis G. Huang et al. 10.1016/j.scitotenv.2020.141671
- Distributions and Direct Radiative Effects of Different Aerosol Types in North China N. Peng et al. 10.3390/rs15235511
- Diurnal Cycle in Surface Incident Solar Radiation Characterized by CERES Satellite Retrieval L. Lu & Q. Ma 10.3390/rs15133217
- Identifying the dominant impact factors and their contributions to heatwave events over mainland China L. Liang et al. 10.1016/j.scitotenv.2022.157527
- Assessment of the Representativeness of MODIS Aerosol Optical Depth Products at Different Temporal Scales Using Global AERONET Measurements Y. Tong et al. 10.3390/rs12142330
- Spatiotemporal changes in aerosol properties by hygroscopic growth and impacts on radiative forcing and heating rates during DISCOVER-AQ 2011 D. Pérez-Ramírez et al. 10.5194/acp-21-12021-2021
- Diurnal time representation of MODIS, VIIRS, MISR, and AHI over Asia and Oceania Z. Yang et al. 10.1016/j.rse.2023.113878
Latest update: 21 Nov 2024
Short summary
A satellite-based method for clear-sky aerosol direct radiative forcing (ADRF) retrieval and spatiotemporal characteristics of ADRF in eastern China were displayed during 2000–2016. Our analysis shows aerosols have a strong cooling effect at the surface, and the changes of ADRF are closely related to the changes of AOD with the development of economic growth and rapid urbanization in eastern China.
A satellite-based method for clear-sky aerosol direct radiative forcing (ADRF) retrieval and...