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石崇

性别

职称研究员

专家类别研究员/博导

邮箱shichong@aircas.ac.cn

地址北京市朝阳区大屯路甲20号北

石崇
简历

石崇,中国科学院空天信息创新研究院,研究员,博士生导师,国家高层次青年人才项目获得者,大气环境遥感研究室主任。主要研究方向是大气-海洋系统的辐射传输及其遥感算法的开发及应用。研究重点是探索并研发辐射传输模式、气溶胶、水色及太阳辐射卫星遥感算法及相关产品。相关研究成果被我国风云卫星FY-3F、国际GOSAT-2、GCOM-C卫星等官方采纳,并受到央视新闻联播、新华社、人民网等媒体报道。目前担任The Innovation、Engineering、应用气象学报等多个期刊青年编委/编委。主持国家海外高层次人才计划青年项目、国家自然科学基金委联合基金重点、科技部基础工作专项课题等项目。


工作经历:
2022/04 ~ 至今         中国科学院空天信息创新研究院        研究员
2021/09 ~ 2022/03     中国科学院空天信息创新研究院         副研究员
2020/04 ~ 2021/05     日本国立环境研究所(NIES)    特别研究员
2015/09 ~ 2020/03     日本宇宙航空研究开发机构(JAXA) 招聘研究员
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研究方向
(1)大气-海洋辐射传输机理及模式开发
(2)大气气溶胶及海色大气校正遥感
(3)云及太阳辐射遥感
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承担科研项目情况
(1)基于风云卫星云特性反演和数据同化技术的西南涡暴雨预报影响研究,负责人,国家自然科学基金委联合基金重点项目,2025.01~2028.12
(2)海域气溶胶高精度遥感, 负责人, 国家自然科学基金优秀青年科学基金项目(海外), 2022-01~2024-12
(3)水色遥感大气校正研究, 负责人, 中国科学院人才项目, 2021-09~2026-08
(4)天山北坡经济带大气污染状况调查, 负责人, 科技部基础工作专项课题, 2022-11~2025-10
(5)基于多像素多波长时空约束的海岸带气溶胶光学特性遥感研究, 负责人, 国家自然科学基金面上项目, 2023-01~2026-12
(6)气溶胶及水色高精度同步遥感反演关键技术, 负责人, 国家任务, 2022-07~2023-12
(7)Validation and accuracy analysis on GOSAT-2/CAI-2 aerosol products, 负责人, 其他任务, 2021-11~2026-11
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获奖及荣誉

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代表论著
近五年代表性论文
[1] W. Wang, C. Shi*, H. Shang, et al. (2024), Development of an algorithm for simultaneous retrieval of cloud top height and cloud optical thickness combining radiative transfer and multi-source satellite information from O4 hyperspectral measurement. IEEE Transactions on Geoscience and Remote Sensing, 10.1109/TGRS.2024.3385030
[2] J. Chen, C. Shi*, B. Zhao, et al. (2024), Assessment of Ocean Color Products from the New Generation Himawari-8 AHI Geostationary Satellite and Its Application in the Calculation of the Photosynthetically Active Radiation, IEEE Transactions on Geoscience and Remote Sensing
[3] S. Yin, C. Shi*, H. Letu, et al. (2024), Reconstruction of PM2.5 concentration in East Asia based on wide-deep ensemble machine learning frameworks and estimation of the potential exposure level from 1981 to 2020, Engineering, https://doi.org/10.1016/j.eng.2024.09.025
[4] A. Li, C. Shi*, S. Yin, et al. (2024), Variation of surface solar radiation components from 2016 to 2020 in China: Perspective from geostationary satellite observation with a high spatiotemporal resolution, Science of the Total Environment, https://doi.org/10.1016/j.scitotenv.2024.176264
[5] H. Letu, R. Ma, T.Y. Nakajima, C. Shi*, et al. (2023) Surface Solar Radiation Compositions Observed from Himawari-8/9 and Fengyun-4 Series. Bulletin of the American Meteorological Society. 10.1175/BAMS-D-22-0154.1
[6] C.Q. Tang, C. Shi*, H. Letu, et al. (2023), Evaluation and uncertainty analysis of Himawari-8 hourly aerosol product version 3.1 and its influence on surface solar radiation before and during the COVID-19 outbreak. Science of the Total Environment, https://doi.org/10.1016/j.scitotenv.2023.164456.
[7] G. Tana, X. Ri, C. Shi*, et al. (2023), Retrieval of cloud microphysical properties from Himawari-8/AHI infrared channels and its application in surface shortwave downward radiation estimation in the sun glint region. Remote sensing of Environment, 290, 113548.
[8] C. Shi, M. Hashimoto, K. Shiomi, et al. (2020), Development of an algorithm to retrieve aerosol optical properties over water using an artificial neural network radiative transfer scheme: First result from GOSAT-2/CAI-2. IEEE Transactions on Geoscience and Remote Sensing, doi:10.1109/TGRS.2020.3038892.
[9] C. Shi, T. Nakajima, and M. Hashimoto (2019), Remote sensing of aerosol properties from multi-wavelength and multi-pixel information over the ocean. Atmospheric Chemistry and Physics, 19, 2461-2475. 
[10] C. Shi, and T. Nakajima (2018), Simultaneous determination of aerosol optical thickness and water leaving radiance from multispectral measurements in coastal waters, Atmospheric Chemistry and Physics, 18, 3865-3884. 
近五年代表性专著
[1] C. Shi, C. Tang, J. Xu, S. Yin, L. Rao, H. Letu (2024), Remote Sensing of Tropospheric Aerosol Optical Depth From Multispectral Monodirectional Space-Based Observations, Comprehensive Remote Sensing
[2] 石崇, 张晓涵, FY3/MERSI 海洋快速辐射传输模型及大气订正, 国家卫星气象中心, 2022-12
[3] M. Hashimoto, C. Shi, and T. Nakajima (2021), GOSAT-2 CAI-2 Level 2 aerosol retrieval Algorithm Theoretical Basis Document (ATBD), National Institute for Environmental Studies, Japan.
[4] M. Hashimoto, C. Shi, and T. Nakajima (2020), GOSAT-2/IBUKI-2 Data Users Handbook: CAI-2 Level 2 Aerosol Property Algorithm, National Institute for Environmental Studies, Japan.
[5] M. Hashimoto, C. Shi (2020), GOSAT-2 TANSO-CAI-2 L2 Pre-processing Algorithm Theoretical Basis Document (ATBD), National Institute for Environmental Studies & Japan Aerospace Exploration Agency, Japan.
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