吕少宁

Dr.Dr.(Drs)

lvshaoning@fudan.edu.cn

+86(0)21 31248810

研究兴趣

数据同化、微波遥感和陆面模式模拟、农业气象

教育背景

2012.11-2019.4: 荷兰特文特大学博士研究生，取得博士学位；

2008.9-2014.11: 中国科学院寒区旱区环境与工程研究所博士研究生（硕博连读），取得理学博士学位；

2004.9-2008.6: 南京信息工程大学本科，取得理学学士学位。

研究经历

2020.12-今：复旦大学大气与海洋科学系；

2018.1-2020.12: 波恩大学气象研究所博士后；

2014.12-2019.1: 中国科学院寒区旱区环境与工程研究所博士后。

承担课题

 A、苏州复晔科技有限公司委托横向课题，合同编号23415，新型L波段被动微波辐射计数据处理和算法开发， 2023/07-2024/12，10万元，在研，主持人；

 B、Nordic Centre Planning Grant Seed funding for Sino-Nordic research collaboration: Microwave remote sensing monitoring of summertime sea ice change and the impact from high-latitude synoptic weather systems, 2023/2-2024/3, 10,000 EUR，结题，中方主持人；

 C、The Fudan-European Centre for China Studies (FECCS, hosted by the Department of Culture Studies and Oriental Languages(IKOS), University of Oslo (UiO)): the FECCS Small Grants，2023/1-2023/12，35,000 NOK，结题，主持人；

 D、科技部国家重点研发计划，热带西太平洋海-气界面过程精细化协同观测与数据融合（2022YFF0801404）之第四课题多尺度数值模拟和资料同化融合，2022/12-2027/11，36万元，在研，参加；

 E、迪锐天成信息技术（北京）有限公司委托横向课题，合同编号KJXM-B03·2022-Y-02-0052，呼伦贝尔野外微波遥感陆面参数综合监测， 2022/03-2022/10，15万元，结题，主持人；

 F、温州赢乐控股集团有限公司委托横向课题，合同编号21899，农田水利管理及病虫害防治微波遥感综合监测， 2022/01-2023/12，10万元，结题，主持人；

 G、上海市科委自然科学计划项目，21ZR1405500，微波遥感土壤湿度技术在上海地区精准农业监测与保障中的理论方法研究，2021/07-2024/6，20万元，结题，主持人；

 H、国家自然科学基金面上项目，42075150，同化卫星L波段亮度温度对模拟青藏高原大气环流的影响研究，2021/01-2024/12，58万元，在研，主持人；

 I、国家自然科学基金面上项目，41575013，基于土壤有效温度-发射率耦合机制的SMAP卫星土壤湿度反演模型研究，2016/01-2019/12，65万元，结题，主要完成人。

教学经历

本科生选修课《大气遥感（地学反演导论）》主讲人（50%工作量）；研究生选修课《陆面过程与天气气候》主讲人（50%工作量）。

学术兼职

《高原气象》青年编辑委员会编委。

获奖情况

A、2023年11月获得苏州高新区科技创新创业领军人才计划区领军人才称号；

B、2021年12月获得上海市组织部资助的上海市领军人才（海外）青年项目；

C、2014 年 12 月获得研究生国家奖学金。

发表论文

Shaoning Lv*, Derek Houtz, Shiyuan Li, Yin Hu, Jing Zhang, Dongli Wu, Lei Jin, Jun Wen. 2024. Rapid Retrieval of Soil Moisture Using a Novel Portable L-Band Radiometer in the Hulunbeier Prairie, China. GIScience & Remote Sensing, 2024, DOI - 10.1080/15481603.2024.2424337.

Yaoming Ma*, Zhongbo Su*, Lei Zhong, Yijian Zeng, Xuelong Chen, Cunbo Han, Binbin Wang, Zhipeng Xie, Weiyao Ma, Longtengfei Ma, Qianqian Han, Ruodan Zhuang, Lijie Zhang, Shaoning Lv, Lianyu Yu, Jan Hofste, Hong Zhao, Jun Wen & Weiqiang Ma. 2024.Analysis of land-atmosphere interactions and their influence on the energy and water cycle over the Tibetan Plateau, Geo-spatial Information Science, 2024, Vol. 27 (3), pp 902-921, DOI: 10.1080/10095020.2024.2372504.

Shaoning Lv, Tianjie Zhao*, Yin Hu, Jun Wen. 2024. Empirical Validation of Soil Temperature Sensing Depth Derived from the Tau-z Model Utilizing Data from the Soil Moisture Experiment in the Luan River (SMELR). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, pp. 1-15, 2024, DOI: 10.1109/JSTARS.2024.3434414.

李世园，吕少宁*，文军. 2024. 青藏高原低涡的活动特征和敏感区识别及其与陆面的关联分析研究[J]. 高原气象, 43(5). doi: 10.7522/j.issn.1000-0534.2023.00090.

Shaoning Lv, Lianyu Yu, Yijian Zeng, Jun Wen*, Clemens Simmer, Zhongbo Su. 2023. Inference of Soil Freezing Front Depth during the Freezing Period from the L-Band Passive Microwave Brightness Temperature. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, pp. 1-15, 2023, doi: 10.1109/JSTARS.2023.3241876.

Shaoning Lv, Clemens Simmer, Yijian Zeng, Jun Wen*, Zhongbo Su. 2022. Impact of profile-averaged soil ice fraction on passive microwave brightness temperature Diurnal Amplitude Variations (DAV) at L-band. Cold Region Science and Technology, 205, 103674, doi:https://doi.org/10.1016/j.coldregions.2022.103674.

Shaoning Lv, Jun Wen*, Clemens Simmer, Yijian Zeng, Yuanyuan Guo, Zhongbo Su,. 2022. A Novel Freeze-Thaw State Detection Algorithm Based on Passive L-Band Microwave Remote Sensing, Remote Sensing, 14, 4747. doi: 10.3390/rs14194747

Shaoning Lv*, Clemens Simmer, Yijian Zeng, Jun Wen, Zhongbo Su,. 2022. The simulation of L-band Microwave Emission of Frozen Soil during the Thawing Period with the Community Microwave Emission Model (CMEM), Journal of Remote Sensing, , vol. 2022, 2022, doi: doi:10.34133/2022/9754341.  

Shaoning Lv*, Bernd Schalge, Pablo Saavedra Garfias, Clemens Simmer. 2020. Required sampling density of ground-based soil moisture and brightness temperature observations for calibration and validation of L-band satellite observations based on a virtual reality, Hydrology and Earth System Sciences., 24, 1957–1973, https://doi.org/10.5194/hess-24-1957-2020, 2020

Zhongbo Su, Jun Wen.,Yijian Zeng, Hong Zhao, Shaoning Lv, van der Velde, R., Donghai Zheng, Xin Wang, Zuoliang Wang, Schwank, M., Kerr, Y., Yueh, S., Colliander, A., Qian, H., Drusch, M., & Mecklenburg, S. (2020). Multiyear in-situ L-band microwave radiometry of land surface processes on the Tibetan Plateau. Scientific Data, 7, 317

Shaoning Lv, Yijian Zeng, Jun Wen*, Zhongbo Su. 2019. A closed-form expression on optical depth and soil effective temperature. IEEE Transactions on Geoscience and Remote Sensing; doi: 10.1109/TGRS.2019.2893687

Shaoning Lv*, Yijian Zeng, Jun Wen, Hong Zhao, Zhongbo Su.2018. Estimation of penetration depth from soil effective temperature in microwave radiometry. Remote Sensing, 10, 519; doi:10.3390/rs10040519.

Shaoning Lv*, Yijian Zeng, Jun Wen, Zhongbo Su. 2016. A reappraisal of global soil effective temperature schemes. Remote Sensing of Environment. 183: p. 144-153.

Shaoning Lv*, Yijian Zeng, Jun Wen, Donghai Zheng, Zhongbo Su. 2016. Determination of the Optimal Mounting Depth for Calculating Effective Soil Temperature at L-Band: Maqu Case. Remote Sensing. 8(6): p. 476.

Shaoning Lv*, Jun Wen, Yijian Zeng, Hui Tian, Zhongbo Su. 2014. An improved two-layer algorithm for estimating effective soil temperature in microwave radiometry using in situ temperature and soil moisture measurements. Remote Sensing of Environment, DOI: 10.1016/j.rse.2014.07.007

吕少宁*，文军，张宇，王少影，张堂堂，田辉，刘蓉. 不同平均时间对LOPEX10资料涡动相关湍流通量计算结果影响的探讨[J]. 高原气象. Shaoning Lv, Jun Wen, Zhang Yu, Wang Shaoying, Zhang Tangtang. 2012. Analysis on Averaging Time of Flux Calculation Measured by Eddy-covariance System. Plateau Meteorology, 31 (6), 1-9. (In Chinese)

Wen Jun*, Lan Yongchao, Su Zhongbo, Tian Hui, Shi Xiaokang, Zhang Yu, Wang Xin, Liu Rong, Zhang Tangtang, Kang Yue1, Lü Shaoning, Zhang Jinghui. 2011. Advances in Observation and Modeling of Land Surface Processes Over the Source Region of the Yellow River. Advances in Earth Science, 26 (6), 575-585. (In Chinese)

吕少宁，文军*，刘蓉. 中国大陆地区不同降水资料的适用性及其应用潜力[J]. 高原气象, 2011, 30(3): 628-640. Shaoning Lv, Jun Wen, Rong Liu. 2011. The Applicability and Potential of the Different Re-analysis Precipitation Data in Mainland China. Plateau Meteorology, 30 (3), 628-640. (In Chinese)

吕少宁，文军*，康悦. 黄河源区玛曲草原草场退化原因调查分析[J]. 生态经济, 2011(2): 166-170. Shaoning Lv, Jun Wen, Yue Kang. 2011. A Survey Study on Grassland Degradation over the Source Water Region of the Yellow River. Ecological Economy, 235, 166-170. (In Chinese)

Tian Hui, Wen Jun, Shi Xiao-kang, Wang Xin, Liu Rong, Zhang Jing-hui1, Lü Shaoning. 2011. Estimation of Soil Moisture in Summer by Active Microwave Remote Sensing for the Maqu Area at the Upper Reaches of the Yellow River. Advances in Water Science, 22 (1), 59-66. (In Chinese)

吕少宁,李栋梁,文军*,王磊,刘蓉,王欣.全球变暖背景下青藏高原气温周期变化与突变分析[J].高原气象,2010,29(6):1378-1385. Shaoning Lv, Dongliang Li, Jun Wen, Lei Wang, Rong Liu, Xin Wang. 2010. Analysis on Periodic Variations and Abrupt Change of Air Temperature over Qinghai-Xizang Plateau under Global Warming. Plateau Meteorology, 29(6), 1378-1385. (In Chinese)

R. Liu, J. Wen, X. Wang, L. Wang, H. Tian, T. T. Zhang, X. K. Shi, J. H. Zhang, and SH. N. Lv, 2011. Actual daily evapotranspiration estimated from MERIS and AATSR data over the Chinese Loess Plateau. Hydrology and Earth System Sciences, 14, 47-58.

出版书籍

Shaoning Lv. Soil effective temperature and its application in passive remote sensing of soil moisture at L-band, 347, ITC Dissertation, University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), 2019. ISBN: 978-90-365-4749-9

专利

吕少宁，复旦大学. 一种L波段微波遥感辐射计: CN202310890132.5[P]. 2023-12-08.

吕少宁，复旦大学. 一种独特的双贴片阵列天线: CN202321896618.1 [P]. 2023-12-08.

吕少宁，复旦大学. 一种L 波段辐射计带通滤波器: CN202321896619.6 [P]. 2023-12-08.

吕少宁，复旦大学. 基于微波遥感的农田灌溉频率确定方法及装置、计算设备: 2023114875120 [P]. 2023-12-08.

吕少宁，胡尹，复旦大学. 一种日变化信号年周期特征识别的土壤冻融状态确定方法: 2023114965292 [P]. 2023-12-08.

#以上信息由本人提供，更新时间：2024/10/30