副研究员/副教授

- 姓名:尚华哲
- 性别:男
- 专家类别:副研究员
- 所属部门:遥感科学国家重点实验室
- 职务:
- 职称:副研究员
- 社会任职:
- 电话:010-64807991
- 传真:
- 电子邮件:shanghz@radi.ac.cn
- 个人网页:
- 百人入选时间:
- 杰青入选时间:
- 通讯地址:北京市朝阳区大屯路甲20号
- 邮政编码:100101
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尚华哲,2011年于武汉大学获得工学学士学位, 2016年获得中国科学院大学理学博士学位。自2016年留所工作。从2018年12月到2019年12月,在法国里尔大学大气光学实验室访问。入选中科院青年创新促进会、空天院“未来之星”。在大气遥感领域核心期刊(BAMS、RSE、ACP、JGR、AMT等)发表SCI论文37篇,担任《遥感技术与应用》、《高原气象》期刊青年编委和《Frontiers in Remote Sensing》期刊审稿编辑。获谢义炳青年气象科技奖、中国空间地球科学学术研讨会“青年优秀论文奖”等荣誉。
简历
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大气辐射传输原理、云微物理遥感反演及应用研究
研究方向
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1. 国家重点研发计划青年科学家项目,云特性和降雨廓线遥感反演, 2023/12-2016/11,主持。2. 国家自然科学基金面上项目,云均一性假设在多角度偏振载荷水云特性反演中的不确定性研究,2022/01-2025/12,主持。3. 风云先行计划项目,风云三号F星反射波段低端在轨辐射定标与质量评估,2022/08-2023/12,主持。4. 国家自然科学基金青年科学基金项目,基于多角度偏振卫星资料水云云滴谱高精度反演研究,2018/01-2020/12, 主持。5. 国家重点研发计划项目子课题,东亚地区高精度的地表辐射时空变化特征,2017/07-2022/06, 主持。6. 国家重点研发计划项目子课题,星上灰霾快速检测识别,2017/07-2020 /06, 主持。
承担科研项目情况
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2024 谢义炳青年气象科技奖2021 青年创新促进会会员2019 中科院空天院“未来之星”人才计划2018 第一届中国空间地球科学学术研讨会“青年优秀论文奖”2018 第二届ISPRS大气环境遥感与协同分析研讨会“科研新秀奖“2016 北京市优秀毕业生
获奖及荣誉
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1.Shang, H., Letu, H.*, Xu, R., Wei, L., Wu, L., Shao, J., Nagao, T.M., Nakajima, T.Y., Riedi, J., He, J., Chen, L., 2024. A hybrid cloud detection and cloud phase classification algorithm using classic threshold-based tests and extra randomized tree model. Remote Sensing of Environment, 302, 113957. https://doi.org/10.1016/j.rse.2023.1139572.Shang, H., Hioki, S., Penide, G., Cornet, C., Letu, H.*, Riedi, J., 2023. Establishment of an analytical model for remote sensing of typical stratocumulus cloud profiles under various precipitation and entrainment conditions. Atmospheric Chemistry and Physics, 23, 2729–2746. https://doi.org/10.5194/acp-23-2729-2023 (list as most downloaded paper by ACP)3.Wang, Y., Shang, H.*, Letu, H.*, Wei, L., Chen, F., Hong, J., Wang, Z., Chen, L., 2023. Impact of Orbital Characteristics and Viewing Geometry on the Retrieval of Cloud Properties From Multiangle Polarimetric Measurements. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-17. https://doi.org/10.1109/TGRS.2023.33293054.An, N., Shang, H.*, Lesi, W., Ri, X., Shi, C., Tana, G., Bao, Y., Zheng, Z., Xu, N., Chen, L., Zhang, P., Ye, L., and Letu, H.*, 2023. A Cloud Detection Algorithm for Early Morning Observations From the FY-3E Satellite. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-15. https://doi.org/10.1109/TGRS.2023.33049855.Lesi, W., Shang, H.*, Xu, J., Shi, C., Gegen ,T., Chao, K.,Bao, S., Chen, L., Letu, H.*, 2023. Cloud, Atmospheric Radiation and Renewal Energy Application (CARE) Cloud algorithm: cloud top pressure retrieval using polarized and O2 A-band measurements from GF5\DPC and PARASOL\POLDER. Advances in Atmospheric Sciences. https://doi.org/10.1007/s00376-023-2382-56.Shang, H., Letu, H.*, Chen, L., Riedi, J., Ma, R., Wei, L., Labonnote, L.C., Hioki, S., Liu, C., Wang, Z., Wang, J., 2020. Cloud thermodynamic phase detection using a directional polarimetric camera (DPC). Journal of Quantitative Spectroscopy and Radiative Transfer, 253, 107179. https://doi.org/10.1016/j.jqsrt.2020.1071797.Shang, H., Letu, H.*, Bréon, F.-M., Riedi, J., Ma, R., Wang, Ziming, Nakajima, T.Y., Wang, Zhongting, Chen, L., 2019a. An improved algorithm of cloud droplet size distribution from POLDER polarized measurements. Remote Sensing of Environment, 228, 61–74. https://doi.org/10.1016/j.rse.2019.04.0138.Shang, H., Letu, H.*, Nakajima, T.Y., Wang, Z., Ma, R., Wang, T., Lei, Y., Ji, D., Li, S., Shi, J., 2018. Diurnal cycle and seasonal variation of cloud cover over the Tibetan Plateau as determined from Himawari-8 new-generation geostationary satellite data. Scientific Report, 8, 1105. https://doi.org/10.1038/s41598-018-19431-w (ESI高被引论文)9.Shang, H., Chen, L., Letu, H.*, Zhao, M., Li, S., Bao, S., 2017. Development of a daytime cloud and haze detection algorithm for Himawari‐8 satellite measurements over central and eastern China. Journal of Geophysical Research Atmospheres, 122, 3528–3543. https://doi.org/10.1002/2016jd02565910.Shang, H., Chen, L.*, Bréon, F.M., Letu, H., Li, S., Wang, Z., Su, L., 2015. Impact of cloud horizontal inhomogeneity and directional sampling on the retrieval of cloud droplet size by the POLDER instrument. Atmospheric Measurement and Techniques, 8, 4931–4945. https://doi.org/10.5194/amt-8-4931-2015