麻豆视频

吴谋松

发布时间：2025-05-15浏览次数：25

科研成果

  • 10篇代表性论文

[1]   Mousong Wu*, Fei Jiang, Marko Scholze, Deliang Chen, Weimin Ju, Songhan Wang, Thomas Kaminski, Zhengyao Lu, Michael Vossbeck, Minjie Zheng. Regional Responses of Vegetation Productivity to the Two Phases of ENSO [J]. Geophysical Research Letters, 2024, 51(8)

[2]   Huajie Zhu, Mousong Wu*, Fei Jiang, Michael Vossbeck, Thomas Kaminski, Xiuli Xing, Jun Wang, Weimin Ju, Jing M. Chen. Assimilation of carbonyl sulfide (COS) fluxes within the adjoint-based data assimilation system – Nanjing University Carbon Assimilation System (NUCAS v1.0) [J]. Geoscientific Model Development, 2024, 17(16): 6337-6363

[3]   Xiuli Xing, Mousong Wu*, Huajie Zhu, Wenzhuo Duan, Weimin Ju, Xiaorong Wang, Youhua Ran, Yongguang Zhang, Fei Jiang. Optimized Gross Primary Productivity Over the Croplands Within the BEPS Particle Filtering Data Assimilation System (BEPS_PF v1.0) [J]. Journal of Advances in Modeling Earth Systems, 2024, 17

[4]   Xiuli Xing, Mousong Wu*, Wenxin Zhang, Weimin Ju, Torbern Tagesson, Wei He, Songhan Wang, Jun Wang, Lu Hu, Shu Yuan, Tingting Zhu, Xiaorong Wang, Youhua Ran, Sien Li, Chunyu Wang, Fei Jiang. Modeling China’s terrestrial ecosystem gross primary productivity with BEPS model: Parameter sensitivity analysis and model calibration [J]. Agricultural and Forest Meteorology, 2023, 343: 109789

[5]   Wei He, Fei Jiang, Mousong Wu*, Weimin Ju, Marko Scholze, Jing M Chen, Brendan Byrne, Junjie Liu, Hengmao Wang, Jun Wang, Songhan Wang, Yanlian Zhou, Chunhua Zhang, Ngoc Tu Nguyen, Yang Shen, Zhi Chen. China's Terrestrial Carbon Sink Over 2010–2015 Constrained by Satellite Observations of Atmospheric CO2 and Land Surface Variables [J]. Journal of Geophysical Research: Biogeosciences, 2022

[6]   Chunyu Wang, Sien Li, Mousong Wu*, Per-Erik Jansson, Wenxin Zhang, Hongxing He, Xiuli Xing, Danni Yang, Siyu Huang, Dekui Kang, Yujiang He. Modelling water and energy fluxes with an explicit representation of irrigation under mulch in a maize field [J]. Agricultural and Forest Meteorology, 2022

[7]   Mousong Wu, Qiang Zhao, Per-Erik Jansson, Jingwei Wu, Xiao Tan, Zheng Duan, Kang Wang, Peng Chen, Minjie Zheng, Jiesheng Huang, Wenxin Zhang. Improved soil hydrological modeling with the implementation of salt-induced freezing point depression in CoupModel: Model calibration and validation [J]. Journal of Hydrology, 2020

[8]   Mousong Wu, Marko Scholze, Michael Voßbeck, Thomas Kaminski, Torbern Tagesson. Using SMOS soil moisture data combining CO2 flask samples to constrain carbon fluxes during 2010–2015 within a Carbon Cycle Data Assimilation System (CCDAS) [J]. Remote Sensing of Environment, 2020, 240

[9]   Mousong Wu, Youhua Ran, Per-Erik Jansson, Peng Chen, Xiao Tan, Wenxin Zhang. Global Parameters Sensitivity Analysis of Modeling Water, Energy and Carbon Exchange of an Arid Agricultural Ecosystem [J]. Agricultural and Forest Meteorology, 2019, 271: 295-306

[10]      Mousong Wu, Jingwei Wu, Xiao Tan, Jiesheng Huang, Per-Erik Jansson, Wenxin Zhang. Simulation of dynamical interactions between soil freezing/thawing and salinization for improving water management in cold/arid agricultural region [J]. Geoderma, 2019, 338: 325-342


(2)授权专利技术及软著

[1] 吴谋松，胡路，居为民，江飞. 一种基于植被水力传输的碳水通量模拟方法及系统. CN119227588B(作者排名1/4)

[2] 伍靖伟，吴谋松，谭霄，黄介生，郑轩，刘洁颖. 一种监测高含盐量土壤中水分和盐分的时域反射仪探头.   CN201320183380.8(作者排名2/6)

[3] 谭霄，吴谋松，伍靖伟，黄介生，李大成，权维新，刘洁颖，郑轩. 一种应用于高含盐量土壤的热时域反射仪探头.   CN201320658007.3(作者排名2/8)

[4] 谭霄，王康，吴谋松，黄介生，伍靖伟，刘俊伍，李大成. 一种适于扩展的高含盐土壤水分测量的TDR系统方法.   CN201410017191.2(作者排名3/7)

[5] 吴谋松，江飞，邢秀丽，居为民，朱华杰. 基于变分法的多源观测数据同化软件[简称：NUCAS_Site]

         V1.0, 2022SR1437766, 原始取得, 全部权利, 2022-7-14

  [6] 吴谋松，朱华杰，江飞，邢秀丽，居为民. 基于羰基硫与日光诱导叶绿素荧光的水碳通量优化方法,

        2023-01-17, 中国, 2023100650456


(3)国际会议及报告情况

[1]Mousong Wu, Per-Erik Jansson, Xiao Tan, Jiesheng Huang, Jingwei Wu. A coupled model for water, heat and solute transport in frozen soil: evaluation with laboratory experiments. (国际冻土大会ICOP，2016年7月20-24，德国，波茨坦，做口头报告)

[2]Mousong Wu, Marko Scholze. Multi-site assimilation of a terrestrial biosphere model (BETHY) using satellite derived soil moisture data. (欧洲地球物理学会年会EGU，2017年4月23-28，奥地利，维也纳，做PICO报告)

[3]Mousong Wu, Per-Erik Jansson, Xiao Tan, Jiesheng Huang, Jingwei Wu. Simulations of water, heat, and solute transport in partially frozen soils. (亚洲冻土大会ACOP，2017年7月2-6，日本，札幌，做口头报告)

[4]Mousong Wu, Marko Scholze, Michael Voßbeck, Thomas Kaminski. Multi-site evaluation of ecosystem carboncycles: A comparison of a carbon cycle data assimilation system (CCDAS) with process-based model (LPJ-GUESS). (国际CO2会议ICDC10，2017年8月20-25，瑞士，因特拉肯，海报展示)

[5]Mousong Wu, Marko Scholze, Michael Voßbeck, Thomas Kaminski. Constraining carbon fluxes in cold regions using carbon cycle data assimilation system - A model-data fusion approach. (Arctic Terrestrial Modelling Workshop，2017年9月14-15，英国，牛津，做口头报告)

[6]Mousong Wu. Multi-scale study on soil moisture and terrestrial carbon cycle data assimilation. (麻豆视频 ，邀请报告，2018年2月)

[7]Mousong Wu, Marko Scholze, Michael Voßbeck, Thomas Kaminski. Using 6-year soil moisture data combining CO2 flask samples to constrain carbon fluxes at 2º×2º global scale within CCDAS. (欧洲地球物理学会年会EGU，2018年4月9-13，奥地利，维也纳，做口头报告)

[8]Mousong Wu. Multi-scale study on soil water, heat and terrestrial carbon cycle data assimilation. (武汉大学，青年论坛报告，2018年4月)

[9]Mousong Wu. Multi-scale study on soil water, heat and terrestrial carbon cycle data assimilation. (中科院西北生态环境与资源研究院，邀请报告，2018年4月)

[10]Mousong Wu. Multi-scale study on soil water, heat and terrestrial carbon cycle data assimilation. (中山大学，邀请报告，2018年4月)

[11]Mousong Wu. From soil hydrology to terrestrial carbon cycles: model-data fusion and uncertainty analysis at multiple scales. (瑞典哥德堡大学，邀请报告，2018年5月)

[12]Mousong Wu, Marko Scholze, Wolfgang Knorr, Michael Vossbeck, Thomas Kaminski. Modeling ecosystem processes with a terrestrial biosphere model (BETHY) within CCDAS. (瑞典隆德大学，BECC会议报告，2018年6月)

[13]Mousong Wu. Linking multiple satellite observations to terrestrial carbon cycle modeling under a Carbon Cycle Data Assimilation System (CCDAS). (瑞典隆德大学，内部邀请报告，2018年6月)

[14]Mousong Wu, Marko Scholze, Thomas Kaminski, Michael Vossbeck. Using 6-year of SMOS soil moisture data in combination with CO2 flask samples to constrain terrestrial carbon fluxes at 2°×2° global scale within CCDAS. (第三届ICOS会议，2018年9月，捷克，布拉格，海报展示)

[15]Mousong Wu, Marko Scholze, Thomas Kaminski, Michael Vossbeck. Using 6-year of SMOS soil moisture data in combination with CO2 flask samples to constrain terrestrial carbon fluxes at 2°×2° global scale within CCDAS. (Green House Gases (GHG) workshop，2018年10月，南京，海报展示)

[16]Mousong Wu. From soil hydrology to terrestrial carbon cycles: model-data fusion and uncertainty analysis at multiple scales. (中国农业大学，邀请报告，2019年1月)

[17]Mousong Wu, Marko Scholze, Thomas Kaminski, Michael Voßbeck. Combining SMOS soil moisture and JRC-TIP FAPAR for better constraining global carbon fluxes during 2010-2015 within CCDAS. (欧洲地球物理学会年会EGU，2019年4月8-12，奥地利，维也纳，做口头报告)

[18]Mousong Wu, Marko Scholze, Thomas Kaminski, Michael Voßbeck. Global carbon cycle inferred by remotely sensed soil moisture within a carbon cycle data assimilation system (CCDAS). (瑞典哥德堡大学，邀请报告，2019年4月)

[19]Mousong Wu, Marko Scholze, Thomas Kaminski, Michael Voßbeck & ESSI全球变化研究团队. 基于碳循环数据同化系统CCDAS的遥感土壤水分同化与全球碳循环研究. (武汉大学/华中科技大学，邀请报告，2020年8/9月)

[20]Mousong Wu, Marko Scholze, Thomas Kaminski, Michael Voßbeck. Using 6-year SMOS soil moisture data combining CO2 flask samples to constrain carbon fluxes at 2o×2o global scale within CCDAS. (ICOS 2020 Science Meeting，特邀报告，2020年9月)