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赵龙

发布时间:2017-06-15 22:36:23     作者:地理科学学院    浏览次数: 次


赵龙,博士,副教授
Email:
zhaol04@swu.edu.cn; zhaol04@outlook.com
ResearchGate: https://www.researchgate.net/profile/Long-Zhao-22
Google Scholar: https://scholar.google.com/citations?hl=en&user=NZ_q89cAAAAJ


教育工作经历
2017.05至今 西南大学地理科学学院副教授
2013.10–2017.04 美国德州大学奥斯汀分校博士后
2008.09–2013.07 中国科学院青藏高原研究所自然地理学博士
2011.10–2012.09 德国于利希研究中心CSC资助联合培养博士生
2004.09–2008.07 清华大学水利水电工程系工学学士


研究兴趣
陆面水文气象观测、模拟与数据同化


奖励与荣誉
2013年,中国科学院院长优秀奖
2018年,重庆市留学回国人员创新资助
2018年,第一届空间地球科学学术研讨会“青年最佳论文入围奖”
2021年,西南大学实习先进工作者
2022年,西南大学优秀教师


科研项目
[1]国家自然科学基金面上项目,基于国内外多源遥感产品的青藏高原土壤水分与积雪同化研究,2023-2026,主持
[2]国家重点研发计划,全球能量循环和水循环关键参数的立体观测与遥感反演,2018-2023,参与(子课题负责人)
[3]重庆市自然科学基金面上项目,面向西南地区中短期气候预测的多源融合陆面再分析产品研制,2022-2025,主持
[4]国家自然科学基金青年项目,基于卫星数据同化估计陆面模型静态参数与土壤水分的方法研究,2019-2021,主持
[5]重庆市留学回国人员创新类资助,2018,主持
[6]国家自然科学基金重大研究计划集成项目,青藏高原地-气耦合系统变化及其全球气候效应,2018-2020,参加(项目骨干)
[7]中央高校基本科研业务费项目,2018-2020,主持
[8]西南大学人才引进项目,2017-2019,主持


学术兼职
[1]Frontiers in Remote Sensing, Associate Editor, 2022-present
[2]遥感技术与应用,青年编委,2021年至今
[3]Remote Sensing, Guest Editor, Special Issue on “Integrating Remote Sensing in Land Surface Monitoring and Agricultural Applications”, 2022.11-2023.06


讲授课程(主讲/合讲)
《遥感概论》、《地理信息科学专业英语》、《地理信息服务》、《智能生态与遥感产品真实性检验》、《地理模型与模拟》、《陆面过程模型与同化》、《环境遥感》、《遥感野外综合实习》、《地理学科发展前沿专题》、《计量地理学》


指导大学生创新项目
[1]基于梯度土壤温湿度和降水观测的喀斯特典型流域水文气象特征分析,2020(国家级)
[2]西南地区不同土地利用情景下的水文气象特征分析,2020(国家级)
[3]周地质学教育软件的开发与理论研究,2019(市级)
[4]基于人工神经网络的微波卫星土壤水分校正研究,2019(校级)
[5]土壤水分观测最小站点数的空间和深度稳定性研究,2018(校级)


代表性论文(*为通讯作者文章,+为学生)
[1]Zhao, L.*, K. Yang, J. He, H. Zheng, and D. Zheng, 2022. Potential of Mapping Global Soil from SMAP Soil Moisture Product: A Pilot Study, IEEE Transactions on Geoscience and Remote Sensing, 60: 4406410, doi:10.1109/TGRS.2021.3119667.
[2]Zhang K.+, L. Zhao *, W.-J. Tang, K. Yang, and J. Wang, 2022. Global and Regional Evaluation of the CERES Edition-4A Surface Solar Radiation and Its Uncertainty Quantification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15: 2971-2985.
[3]WANG J.+, L. Zhao *, H. Wu, X. Dong, Z. Cao, M.-G. Ma, 2022. Urbanization magnifies spatial variations of local meteorological conditions in southwest China, Mountain Research, 40(1): 120-135. [王晶,赵龙,吴辉,董欣,曹芝毓,马明国.西南地区城市化进程加剧局地气象条件的空间差异[J].2022,山地学报,40(1):120-135.]
[4]Wu, W.-Y., Z.-L. Yang, L. Zhao, & P. Lin, 2022. The impact of multi-sensor land data assimilation on river discharge estimation. Remote Sensing of Environment, 279, 113138.
[5]Peng S.+, L. Zhao*,T.T. Li,et al., 2021. Retrieval of Cosmic-Ray-based Soil Moisture over a Typical Karst Watershed. Remote Sensing Technology and Application,36(5):1-12.[彭书艳,赵龙,李婷婷,等. 基于宇宙射线观测的喀斯特槽谷区典型流域土壤水分反演研究[J]. 遥感技术与应用,2021,36(5):1-12.]doi:10.11873/j.issn.1004⁃0323.2021.5.0001
[6]Yang, Z.-L., L. Zhao, Y.-J. He, and B. Wang, 2020. Perspectives for Tibetan Plateau data assimilation, National Science Review, 7: 495-499. DOI: 10.1093/nsr/nwaa014
[7]Yang, K., Y.-Y. Chen, J. He, L. Zhao, H. Lu, J. Qin, D.-H. Zheng, and X. Li, 2020. Development of a daily soil moisture product for the period of 2002–2011 in Chinese mainland, Science China – Earth Sciences, doi: 10.1007/s11430-019-9588-5
[8]Wang W.-L., K. Yang, L. Zhao, Z.-Y. Zheng, H. Lu, A. Mamtimin, B.-H. Ding, X. Li, Lin Zhao, H.-Y. Li, T. Che, and J. Moore, 2020. Characterizing surface albedo of shallow fresh snow and its importance for snow ablation on the interior of the Tibetan Plateau, Journal of Hydrometeorology, DOI: 10.1175/JHM-D-19-0193.1
[9]Zhao, L. *, and Z.-L. Yang, 2018. Multi-sensor land data assimilation: Toward a robust global soil moisture and snow estimation. Remote Sensing of Environment, 216: 13-27.
[10]Zhao, L. *, Z.-L. Yang, T. J. Hoar, 2016. Global Soil Moisture Estimation by Assimilating AMSR-E Brightness Temperatures in a Coupled CLM4–RTM–DART System, Journal of Hydrometeorology, 17: 2431–2454.
[11]Qin, J., L. Zhao, Y.Y. Chen, K. Yang, Y.P. Yang, Z.Q. Chen, and H. Lu, 2015. Inter-comparison of spatial upscaling methods for evaluation of satellite-based soil moisture, Journal of Hydrology, 523: 170-178.
[12]Zhao, L. *, K. Yang, J. Qin, Y. Y. Chen, W. J. Tang, H. Lu, and Z. L. Yang, 2014. The scale-dependence of SMOS soil moisture accuracy and its improvement through land data assimilation in the central Tibetan Plateau. Remote Sensing of Environment, 152: 345-355.
[13]Zhao, L. *, K. Yang, J. Qin, Y. Y. Chen, W. J. Tang, C. Montzka, H. Wu, C. G. Lin, M. L. Han, and H. Vereecken., 2013. Spatiotemporal analysis of soil moisture observations within a Tibetan mesoscale area and its implication to regional soil moisture measurements. Journal of Hydrology, 482: 92-104.
[14]Yang., K., J. Qin, L. Zhao, Y. Y. Chen, W. J. Tang, M. L. Han, Lazhu., Z. Q. Chen, N. Lv, B. H. Ding, H. Wu, and C. G. Lin,. 2013. A Multi-Scale Soil Moisture and Freeze-Thaw Monitoring Network on the Third Pole for Multi-Sphere Interaction Studies, Bull. Am. Meteorol. Soc., 94(12): 1907–1916.
[15]Zhao, L. *, K. Yang, J. Qin, and Y. Chen, 2013. Optimal Exploitation of AMSR-E Signals for Improving Soil Moisture Estimation through Land Data Assimilation, Geoscience and Remote Sensing, IEEE Transactions on, 51: 399-410.