何维，博士，1986年生，湖北浠水人。南京大学与荷兰格罗宁根大学联合培养博士。从事遥感、生态、大气和计算机科学等交叉学科研究，核心方向为气候变化背景下区域碳循环遥感、模拟与数据同化。主持国家自然科学基金面上项目、青年项目等科研项目7项，参与国家重点研发计划项目和国家自然科学基金项目等5项。以第一或通讯作者在Geoscientific Model Development、Journal of Advances in Modeling Earth Systems、Agricultural and Forest Meteorology和Journal of Geophysical Research-Atmospheres等地球科学及环境科学与生态学领域知名学术期刊发表论文18篇，并在Science、PNAS和Science Advances等期刊合作发表学术论文50余篇。论文被引用2000余次，H指数为24；获得Wiley威立中国开放科学高贡献作者奖、Wiley旗下杂志年度TOP10高被引论文、ESI高被引论文和Journal of Remote Sensing杂志高关注度论文奖等。担任中国林学会林业气象专业委员会委员、湖北省气象学会环境气象专业委员会委员等。担任Geophysical Research Letters、Global Biogeochemical Cycles、Atmospheric Chemistry and Physics 和Geoscientific Model Development 等多个专业顶尖学术期刊的审稿人。拥有丰富的国内外学术交流和合作经验，参与OCO-2 MIP等国际碳循环研究计划，与美国、欧洲和新西兰等多个国际研究团队保持密切合作。

热忱欢迎有志于从事全球变化与碳循环研究的学生报考研究生！

082501  环境科学与工程（学硕）、085700  资源与环境（专硕）

优秀研究生可推荐到美国杜克大学、南京大学、北京师范大学、浙江大学、中山大学和武汉大学等攻读博士！

研究兴趣

1. 大气CO2及痕量气体成分模拟与源汇反演 (大气科学、计算机科学、遥感科学)

2. 深度学习在地球系统科学研究中的应用 (计算机科学、生态科学、遥感科学)

3. 极端气候胁迫下陆地生态系统碳水通量模拟 (生态科学、遥感科学)

4. 多源观测约束下区域碳收支时空估算及其驱动机制 (大气科学、生态科学、遥感科学)

工作经历

2024. 03 至今, 浙江工业大学浙江碳中和创新研究院，副研究员

2021. 07 – 2024.02, 南京大学国际地球系统科学研究所，特任副研究员

2018. 07 – 2021.06, 南京大学国际地球系统科学研究所，特任助理研究员

教育经历

2014. 05 – 2016. 04, 荷兰格罗宁根大学能源与可持续发展研究所，大气科学，博士联合培养

2013. 09 – 2018. 03, 南京大学国际地球系统科学研究所，地图学与地理信息系统，理学博士

2010. 09 – 2013. 06, 北京师范大学遥感科学国家重点实验室，地图学与地理信息系统，理学硕士

2005. 09 – 2009. 06, 湖北大学资源环境学院，地理信息系统，理学学士

2025年

• 4月15日，课题组2022级硕士生陈慧在Agricultural and Forest Meteorology发表学术论文！祝贺🎉🎉🎉 报道链接：https://mp.weixin.qq.com/s/S2dUvAzmDJ8Bei-42RMojA

• 3月20日，课题组何维老师两篇学术论文分别入选Wiley旗下的美国地球物理学会JAMES和JGR-A期刊2023年度高被引论文。报道链接：https://mp.weixin.qq.com/s/438CiMNeYEpp1Mg8zxHiAA

• 3月11日，何维老师作为课题骨干合作申请的青海省基础研究计划项目“基于大气观测的青海省主要温室气体源汇反演研究”获批立项！

• 1月2日，何维老师主持申请的青海省温室气体及碳中和重点实验室开放基金重点项目“多源遥感支持下基于深度学习的青藏高原温室气体收支估算”获批立项！

2024年

• 10月28日，何维老师主持申请的湖州市科技项目公益性应用研究项目“基于多源卫星遥感的湖州市生态系统碳汇评估”获批立项！

• 10月10日，课题组2022级硕士生陈慧和黄诚诚荣获研究生国家奖学金！祝贺 🎉🎉🎉

• 6月23-28日，课题组硕士生赵梦瑶赴韩国参加亚洲大洋洲地球科学学会2024年度会议（AOGS2024），赵梦瑶同学代表课题组作了题为“Critical roles of considering memory effect and incorporating soil organic carbon in estimating terrestrial carbon budget for the Qinghai-Tibet Plateau”的口头报告。报道链接：https://mp.weixin.qq.com/s/WMXJyRZWkZxddaqOm86EnQ

• 6月7日, 课题组何维老师参与合作的论文“The reduced net carbon uptake over northern hemisphere land causes the close-to-normal CO2 growth rate in 2021 La Niña” 在Science Advances发表。论文由加州理工学院喷气式推进实验室（JPL）科学家领衔，合作者主要为OCO-2卫星反演模型比较项目（OCO-2 MIP）科学团队成员。这是课题组参与OCO-2 MIP国际碳循环合作项目发表的第4篇相关论文。报道链接：https://mp.weixin.qq.com/s/bi72T-I6ZCsBmVAMIJjbfg




• 5月17-20日，课题组何维老师和硕士生黄诚诚、陈慧、赵梦瑶、刘帅、吴晶晶、马雯锶赴厦门参加第九届青年地学论坛，作了多场学术报告和海报交流。报道链接：https://mp.weixin.qq.com/s/F13THATVMe6iHniX3TOSIA

• 4月14-19日，课题组何维老师和硕士生黄诚诚赴奥地利参加欧洲地球科学联合会2024年度会议（EGU2024），黄诚诚同学代表课题组作了题为“Improved estimation of net ecosystem CO2  exchange for North America in eddy flux upscaling with memory-based deep learning”的口头报告。报道链接：https://mp.weixin.qq.com/s/2qsAwtoEE7rRFqMX17pcLw

• 4月8日，课题组2022级硕士生陈慧在Environmental Research Letters发表学术论文！祝贺 🎉🎉🎉 报道链接： https://mp.weixin.qq.com/s/lY6iTbdrctwBsFSa5Z6jZw

• 4月1日，课题组2022级硕士生黄诚诚在JGR-Atmospheres发表学术论文！祝贺 🎉🎉🎉

  报道链接：  https://mp.weixin.qq.com/s/rNDOf4UKqXErvqRRRx2hxA

  
  

课题组微信公众号

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课题组合影

第二十二届中国遥感大会会议期间课题组成员合影（2023年8月，江苏常州）

第九届青年地学论坛会议期间课题组成员合影（2024年5月，福建厦门）

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指导学生

• 合作指导毕业硕士生5名、本科生2名

• 独立及合作指导在读硕士生10名、本科生1名

• 合作指导在站博士后1名 

学生获奖

• 获研究生国家奖学金2人次（2024）

• 获小米奖学金一等奖1人次（2023）

• 获中国石油奖学金优秀生奖1人次（2024）

• 获校级研究生科研激励三等奖1人次（2024）

• 获青年地学论坛优秀报告奖1人次（2023）

• 获中国生态学大会优秀墙报奖1人次（2023）

主持项目

1. 2023. 01–2026. 12  国家自然科学基金面上项目， “基于卫星CO₂和SIF数据同化的中国陆地碳汇及碳利用效率研究” （项目号：42277453），在研 

2. 2025. 01–2027. 12  湖州市科技计划公益性应用研究项目（农业类），“基于多源卫星遥感的湖州市生态系统碳汇评估”（项目号：2024GZ50），在研

3. 2025. 01–2026. 12  青海省温室气体及碳中和重点实验室开放基金重点项目，“多源遥感支持下基于深度学习的青藏高原温室气体收支估算”（项目号：ZDXM-2025-2），在研

4. 2020. 12–2024. 11  国家重点研发计划项目“全球温室气体天空地立体化观测与反演”第四课题“多尺度温室气体嵌套模拟与同化研究” （项目号：2020YFA0607504）子课题，结题

5. 2020. 01–2022. 12  国家自然科学基金青年项目，“基于碳卫星数据的人为碳排放优化计算方法研究” （项目号：41907378），结题

6. 2020. 10–2022. 09  遥感科学国家重点实验室开放基金，“利用卫星土壤水分数据改进植被总初级生产力干旱影响模拟研究” （项目号：OFSLRSS202012），结题

7. 2023. 01–2023. 12  南京市生态环境保护专项资金项目，“基于大气CO₂浓度观测的南京市生态系统碳汇评估研究”，结题

参与项目

1. 2025.01–2026.12  青海省基础研究计划应用基础研究项目，“基于大气观测的青海省主要温室气体源汇反演研究”（项目号：2025-ZJ-737），课题骨干，在研

2. 2022–2026 联合国世界气象组织气候变化项目, “Utilization of Atmospheric Measurements to Establish the Carbon Sequestration Capacity of Bamboo Forests”，在研

3. 2021. 01–2024. 12  国家自然科学基金面上项目， “考虑土壤水分胁迫延续效应的植被总初级生产力模拟研究” （项目号：42077419），结题

4. 2021. 01–2023. 12   国家自然科学基金国际（地区）合作研究项目中国-瑞典联合项目， “高分辨率碳同化系统构建与区域碳循环模拟” （项目号：4201101406），结题

5. 2016. 06–2021. 05  国家重点研发计划项目“基于多源卫星遥感的高分辨率全球碳同化系统研究”第四课题“高分辨率全球碳同化系统构建及应用”（项目号：2016YFA0600204），结题

6. 2014. 05–2017. 06  美国国家大气与海洋管理局气候办公室“大气化学、碳循环与气候”课题“利用羰基硫（OCS）改进CarbonTracker在北美地区的碳通量估算”（项目号：NA13OAR4310082），结题

2025年：

1. Chen, H., Liu, J. X., He, W.*(通讯作者), Xu, P., Nguyen, N. T., Lv, Y., Huang, C. Shifted vegetation resilience from loss to gain driven by changes in water availability and solar radiation over the last two decades in Southwest China. Agricultural and Forest Meteorology, 2025, 368: 110543. https://doi.org/10.1016/j.agrformet.2025.110543.

2. Xu, P., Cao, Y., Fang, W., He, W.*(通讯作者), Wang, Z., Yang, H., Song, L*. High water demand limits carbon sink and transpiration in tall forests during extreme drought in Southwest China. Agricultural and Forest Meteorology, 2025, 369:110565. https://doi.org/10.1016/j.agrformet.2025.110565.

3. Shuo Liu, Shuangxi Fang, Bingjiang Chen, Chao Zhang, Kunpeng Zang, Wei He, Yuanyuan Chen, Yi Lin, Zeping Jin, Ziyi Chen, Wengang Lan, Honghui Xu. Contrasting High-Resolution Vertical CO₂ Patterns: Insights from Economically Developed Regions in Southeast China. Journal of Geophysical Research: Atmospheres, 2025.

4. Wang, X., Jiang, F.*, Wang, H., Zhang, Z., Wu, M., Wang, J., He, W., Ju, W., Chen, J. M. The role of OCO-3 XCO2 retrievals in estimating global terrestrial net ecosystem exchanges. Atmospheric Chemistry and Physics, 2025, 25: 867–880, https://doi.org/10.5194/acp-25-867-2025.

5. Jiang, Z., Zhou, Y.*, Gao, S., Dong, Z., Wang, Y., Duan, Z., He, W., Liu, Y., Ju, W. Stronger effects of accumulated soil moisture deficit on gross primary productivity and light use efficiency than lagged soil moisture deficit for cropland and forest. Agricultural and Forest Meteorology, 2025, 361:110317. https://doi.org/10.1016/j.agrformet.2024.110317.

6. Lv, Y., He, W., Liu, J. X.*, Chen, H. Integration of soil moisture factor into light-use efficiency models improves modeling impact of water stresses on gross primary production. Forests, 2025,16(2):297. https://doi.org/10.3390/f16020297.

2024年：

1. Chen, H., He, W.*(通讯作者), Liu, J. X., Nguyen, N. T., Chevallier, F., Yang, H.*, Lv, Y., Huang, C., Rödenbeck, C., Miller, S. M., Jiang, F., Liu, J. J., Johnson, M. S., Philip, S., Liu, Z., Zeng, N., Basu, S., Baker, D. F. Satellite-detected large CO2 release in southwestern North America during the 2020–2021 drought and associated wildfires. Environmental Research Letters, 2024,19(5):054047.  https://doi.org/10.1088/1748-9326/ad3cf7.（IF5=7.8，JCR Q1区, 中科院分区Top期刊）

2. Huang, C., He, W.*(通讯作者), Liu, J. X., Nguyen, N. T., Lv, Y., Chen, H., Zhao, M. Exploring the potential of long short-term memory networks for predicting net ecosystem CO2 exchange across various ecosystems with multi-source data. Journal of Geophysical Research: Atmospheres, 2024, 129(7): e2023JD040418. https://doi.org/10.1029/2023JD040418.（自然指数期刊；IF5=5.0，JCR Q1区, 中科院分区Top期刊）

3. Zhou, Y., Wei, X., Wang, Y., He, W.*(通讯作者), Dong, Z., Zhang, X., Liu, Y., Nguyen, N., Ju, W. Solar radiation variation weakened the boost of gross primary production by forest restoration in China’s most forestry engineering areas during 2001–2020. Environmental Research Letters, 2024, 19(1): 014082. https://doi.org/10.1088/1748-9326/ad1a22. （IF5=7.8，JCR Q1区, 中科院分区Top期刊）

4. Zhang, L., Jiang, F.*, He, W., Wu, M., Wang, J., Ju, W., Wang, H., Zhang, Y., Sitch, S., Chen, J.M. Improved estimates of net ecosystem exchanges in mega-countries using GOSAT and OCO-2 observations. Communications Earth & Environment, 2024, 5(1), 737. https://doi.org/10.1038/s43247-024-01910-w.

5. Shi, L., Zhou, Y.*, He, W., Dong, Z., Jiang, Z., Wang, Y., Liu, Y., Ju, W., Duan, Z. Mapping critical soil moisture thresholds of water stress for global grasslands. Journal of Hydrology, 2024, 644, 132090. https://doi.org/10.1016/j.jhydrol.2024.132090.

6. Jiang, L., Zhao, H.*, Cao, B., He, W., Yun, Z., Cheng, C. A UAV thermal imaging format conversion system and its application in mosaic surface microthermal environment analysis. Sensors, 2024, 24, 6267. https://doi.org/10.3390/s24196267.

7. Liu, J.*, Baker, D., Basu, S., Bowman, K., Byrne, B., Chevallier, F., He, W., Jiang, F., Johnson, M. S., Kubar, T. L., Li, X., Liu, Z., Miller, S. M., Philip, S., Xiao, J., Yun, J., Zeng, N. The reduced net carbon uptake over northern hemisphere land causes the close-to-normal CO2 growth rate in 2021 La Niña. Science Advances, 2024, 10(23): eadl2201. https://www.science.org/doi/10.1126/sciadv.adl2201.

8. Feng, S., Jiang, F.*, Wang, H., Liu, Y., He, W., Wang, H., Shen, Y., Zhang, L., Jia, M., Ju, W., Chen, J. M. China’s Fossil Fuel CO2 Emissions Estimated Using Surface Observations of Coemitted NO2. Environmental Science & Technology, 2024. https://doi.org/10.1021/acs.est.3c07756.

9. Wang, Z., Peñuelas, J., Tagesson, T., Smith, W. K., Wu, M., He, W., Sitch, S., Wang, S*. Evolution of global terrestrial gross primary productivity trend. Ecosystem Health and Sustainability, 2024, 10, 0278. https://spj.science.org/doi/abs/10.34133/ehs.0278.

10. Li, Y., Jiang, F.*, Jia, M., Feng, S., Lai, Y., Ding, J., He, W., Wang, H., Wu, M., Wang, J., Shen, F., Zhang, L. Improved estimation of CO2 emissions from thermal power plants based on OCO-2 XCO2 retrieval using inline plume simulation. Science of The Total Environment, 2024, 913, 169586. https://doi.org/10.1016/j.scitotenv.2023.169586.

2023年：

1. He, W., Jiang, F.*, Ju, W., Chevallier, F., Baker, D. F., Wang, J., Wu, M., Johnson, M. S., Philip, S., Wang, H., Bertolacci, M., Liu, Z., Zeng, N., Chen. J. M. Improved constraints on the recent terrestrial carbon sink over China by assimilating OCO-2 XCO₂ retrievals. Journal of Geophysical Research: Atmospheres. 2023, 128(14): e2022JD037773. https://doi.org/10.1029/2022JD037773.（自然指数期刊；IF5=5.0，JCR Q1区, 中科院分区Top期刊）

2. He, W., Jiang, F.*, Ju, W., Nguyen, N.T., Byrne, B., Wu, M., Scholze, M., Wang, H., Wang, J., Wang, S., Xiao, J., Li, X., He, Q., Zhou, Y., Chen. J. M. Do state-of-the-art atmospheric CO₂ inverse models capture drought impacts on the European land carbon uptake? Journal of Advances in Modeling Earth Systems (JAMES), 2023,15(6), e2022MS003150. https://doi.org/10.1029/2022MS003150.（地学模型开发领域顶刊；IF5=7.1，JCR Q1区；荣获2023年第二季度“Wiley威立中国开放科学高贡献作者奖”；入选Wiley旗下杂志2023年度全球TOP10最高被引论文） 

3. Lv, Y., Liu, J. X., He, W.*(通讯作者), Zhou, Y., Nguyen, N.T., Bi, W., Wei, X., Chen, H. How well do light-use efficiency models capture large-scale drought impacts on vegetation productivity compared with data-driven estimates? Ecological Indicators, 2023, 146, 109739. https://doi.org/10.1016/j.ecolind.2022.109739. （IF5=6.6，JCR Q1区, 中科院一区、Top期刊）

4. Wei, X., He, W., Zhou, Y.*, Cheng, N., Xiao, J., Bi, W., Liu, Y., Sun, S., Ju, W. Increased sensitivity of global vegetation productivity to drought over the recent three decades. Journal of Geophysical Research: Atmospheres, 2023, e2022JD037504. https://doi.org/10.1029/2022JD037504. (入选Wiley旗下杂志2023年度全球TOP10最高被引论文）

5. Zhang, L., Jiang, F.*, He, W., Wu, M., Wang, J., Ju, W., Wang, H., Zhang, Y., Sitch, S., Walker, A. P., Yue, X., Feng, S., Jia, M., Chen, J. M. A robust estimate of continental-scale terrestrial carbon sinks using GOSAT XCO₂ retrievals. Geophysical Research Letters, 2023, e2023GL102815. https://doi.org/10.1029/2023GL102815.

6. Cheng, N., Zhou*, Y., He, W., Ju, W.,  T., Zhu, Y., Liu, P., Song, W., Bi, X., Zhang, X., Wei. Exploring light use efficiency models capacities in characterizing environmental impacts on paddy rice productivity. International Journal of Applied Earth Observation and Geoinformation, 2023,117, 103179. https://doi.org/10.1016/j.jag.2023.103179.

7. Wang, J.*, Zeng N., Wang, M., Jiang, F., Chevallier, F., Crowell,S., He, W., Johnson, M., Liu, J., Liu, Z., Miller, S., Philip, S., Wang, H., Wu, M., Ju, W., Feng, S., Jia, M. Anomalous Net Biome Exchange over Amazonian Rainforests Induced by the 2015/16 El Niño: Soil Dryness-shaped Spatial Pattern but Temperature-dominated Total Flux. Geophysical Research Letters, 2023, 50, e2023GL103379. https://doi.org/10.1029/2023GL103379.

8. Fang, M., Ju, W.*, Chen, J.M., Fan, W., He, W., Qiu, F., Hu, X., Li, J. A normalized spectral angle index for estimating the probability of viewing sunlit leaves from satellite data. IEEE Transactions on Geoscience and Remote Sensing, 2023,3249129.https://doi.org/10.1109/TGRS.2015.2481492.

9. Wang, J.*, Yan, R., Wu, G., Liu, Y., Wang, M., Zeng, N., Jiang, F.*, Wang, M., He, W., Wu, M., Ju, W., Chen, Jing M., Unprecedented decline in photosynthesis caused by summer 2022 record-breaking compound drought-heatwave over Yangtze River Basin. Science Bulletin, 2023, 68(19): 2160-2163.https://doi.org/10.1016/j.scib.2023.08.011.

10. Feng, S., Jiang, F.*, Wu, Z., Wang, H., He, W., Shen, Y., Zhang, L., Zheng, Y., Lou, C., Jiang, Z., and Ju, W.: A Regional multi-Air Pollutant Assimilation System (RAPAS v1.0) for emission estimates: system development and application, Geoscientific Model Development, 2023, 16, 5949–5977. https://doi.org/10.5194/gmd-16-5949-2023.

11. Xing, X., Wu, M., Zhang, W., Ju, W., Tagesson, T., He, W., et al. Modeling China's terrestrial ecosystem gross primary productivity with BEPS model: Parameter sensitivity analysis and model calibration. Agricultural and Forest Meteorology, 2023, 343, 109789. https://doi.org/10.1016/j.agrformet.2023.109789.

2022年：

1. He, W., Jiang, F.*, Wu, M.*, Ju, W., Scholze, M., Chen, J. M., Byrne, B., Liu,  J., Wang, H., Wang,  J., Wang, S., Zhou,  Y., Zhang, C., Nguyen, N.T., Shen, Y., Chen, Z. China’s terrestrial carbon sink over 2010–2015 constrained by satellite observations of atmospheric CO₂ and land surface variables, Journal of Geophysical Research: Biogeosciences, 2022, 127(2), e2021JG006644. https://doi.org/10.1029/2021JG006644. （IF5=4.4，IF₂₀₂₂=4.432，JCR Q1区, 中科院二区）

2. Zhang, X., Zhou, Y.*, He, W. *(共同通讯), Ju, W., Liu, Y., Bi, W., Wei, X., Cheng, N. Land cover change instead of solar radiation change dominates the forest GPP increase during the recent phase of the Shelterbelt Program for Pearl River. Ecological Indicators, 2022, 136, 108664.https://doi.org/10.1016/j.ecolind.2022.108664. （IF5=6.6，JCR Q1区, 中科院一区、Top期刊）

3. Liu L., Xu W., Lu X., Zhong B., Guo Y., Lu X., Zhao Y., He W., Wang S., Zhang X., Liu X., Vitousek P. Exploring global changes in agricultural ammonia emissions and their contribution to nitrogen deposition since 1980. Proceedings of the National Academy of Sciences (PNAS), 2022,119(14): e2121998119. https://doi.org/10.1073/pnas.2121998119.

4. Bi, W., He, W., Zhou, Y.*, Ju, W., Liu, YB., Liu, Y., Zhang, X., Wei, X., Cheng, N. A global 0.05° dataset for gross primary production of sunlit and shaded vegetation canopies from 1992 to 2020. Scientific Data, 2022, 9, 213, https://doi.org/10.1038/s41597-022-01309-2.

5. Wei, X., He, W.,  Zhou, Y.*,Ju, W.,  J. Xiao, X. Li, et al. Global assessment of lagged and cumulative effects of drought on grassland gross primary production. Ecological Indicators, 2022, 136, 108646, https://doi.org/10.1016/j.ecolind.2022.108646.（入选ESI高被引论文）

6. Jiang, F.*, He, W., Ju, W.,  H. Wang, M. Wu, J. Wang, et al.  The status of carbon neutrality of the world’s top 5 CO₂ emitters as seen by carbon satellites. Fundamental Research, 2022, 2(3):357-366. https://doi.org/10.1016/j.fmre.2022.02.001.

7. Jiang, F.*, Ju, W., He, W., Wu, M., Wang, H., Wang, J., Jia, M., Feng, S., Zhang, L., and Chen, J. M.: A 10-year global monthly averaged terrestrial net ecosystem exchange dataset inferred from the ACOS GOSAT v9 XCO₂ retrievals (GCAS2021). Earth System Science Data, 2022, 14, 3013–3037. https://doi.org/10.5194/essd-14-3013-2022.

8. Wang, S., Zhang, Y.*, Ju, W., Wu, M., Liu, L., He, W., Peñuelas, J. Temporally corrected long-term satellite solar-induced fluorescence leads to improved estimation of global trends in vegetation photosynthesis during 1995–2018. ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 194, 222-234. https://doi.org/10.1016/j.isprsjprs.2022.10.018.

9. Wang, J.*, Jiang, F.*,  Ju, W.,  Wang, M.,  Sitch, S.,  Arora, V. K., Chen, J.M., Goll, D. S., He, W., Jain, A. K., Li, X., Joiner, J., Poulter, B., Séférian, R., Wang, H., Wu, M., Xiao, J., Yuan, W., Yue, X., Zaehle, S. Enhanced India-Africa carbon uptake and Asia-Pacific carbon release associated with the 2019 extreme positive Indian Ocean Dipole. Geophysical Research Letters, 2022, 49, e2022GL100950. https://doi.org/10.1029/2022GL100950.

10. Wang, H., Jiang, F.*, Liu, Y., Yang, D., Wu, M., He, W., Wang, J., Wang, J., Ju, W., Chen, J.M. Global terrestrial ecosystem carbon flux inferred from TanSat XCO₂ retrievals. Journal of Remote Sensing, 2022, 9816536. https://doi.org/10.34133 /2022/9816536.

2021年：

1. He, W.,  Weimin Ju*, Fei Jiang*, Nicholas Parazoo, Pierre Gentine, Xiaocui Wu, Songhan Wang, Chunhua Zhang, Jiawen Zhu, Nicolas Viovy, Atul K. Jain, Stephen Sitch, Pierre Friedlingstein. Peak growing season patterns and climate extremes-driven responses of gross primary production estimated by satellite and process based models over North America. Agricultural and Forest Meteorology, 2021, 298-299:108292. https://doi.org/10.1016/j.agrformet.2020.108292. （IF5=7.0，JCR Q1区, 中科院一区、Top期刊）

2. He, Q., Ju, W.*, Dai, S., He, W., Song, L, Wang, S., Li, X., Mao, G. Drought risk of global terrestrial gross primary productivity over the last 40 years detected by a remote sensing-driven process model. Journal of Geophysical Research: Biogeosciences, 2021, 126(6): e2020JG005944. https://doi.org/10.1029/2020JG005944.

3. Wang, J. *, Jiang, F. *, Wang, H., Qiu, B., Wu, M., He, W., Ju, W., Zhang, Y., Chen, J.M., Zhou, Y. Constraining global terrestrial gross primary productivity in a global carbon assimilation system with OCO-2 chlorophyll fluorescence data. Agricultural and Forest Meteorology, 2021, 304-305: 108424.

4. Wang, J. *, Wang, M., Kim, J.-S., Joiner, J., Zeng, N., Jiang, F., Wang, H., He, W., Wu, M., Chen, T., Ju, W. and Chen, J.M., Modulation of land photosynthesis by the Indian Ocean Dipole: satellite-based observations and CMIP6 future projections. Earth's Future, 2021, 9(4): e2020EF001942.

5. Jiang, F. *, Wang, H., Chen, J. M., Ju, W., Tian, X., Feng, S., Li, G., Chen, Z., Zhang, S., Lu, X., Liu, J., Wang, H., Wang, J., He, W., and Wu, M. Regional CO₂ fluxes during 2010-2015 inferred from GOSAT XCO₂ retrievals using a new version of Global Carbon Assimilation System. Atmospheric Chemistry and Physics. 2021, 21(3):21, 1963–1985.

6. Wang, S., Zhang, Y.*, Ju, W., Chen, J.M., Ciais, P., Cescatti, A., Sardans, J., Janssens, I.A., Wu, M., Berry, J.A., Campbell, E., Fernández-Martínez, M., Alkama, R., Sitch, S., Friedlingstein, P., Smith, W.K., Yuan, W.,He, W., Lombardozzi, D., Kautz, M., Zhu, D., Lienert, S., Kato, E., Poulter, B., Sanders, T.G.M., Krüger, I., Wang, R., Zeng, N., Tian, H., Vuichard, N., Jain, A.K., Wiltshire, A., Goll, D.S. and Peñuelas, J. Response to Comments on “Recent global decline of CO₂ fertilization effects on vegetation photosynthesis”. Science, 2021, 373(6562), eabg7484. https://www.science.org/doi/abs/10.1126/science.abg7484.

2020年及以前：

1. He, W., van der Velde, I. R., Andrews, A. E., Sweeney, C., Miller, J., Tans, P., van der Laan-Luijkx, I. T., Nehrkorn, T., Mountain, M., Ju, W., Peters, W., and Chen, H.*: CTDAS-Lagrange v1.0: A high-resolution data assimilation system for regional carbon dioxide observations, Geoscientific Model Development, 2018, 11(8):3515-3536. https://doi.org/10.5194/gmd-11-3515-2018.  （地学模型开发领域顶刊；IF5=6.9，IF₂₀₁₈=5.154，JCR Q1区, 中科院一区、Top期刊）

2. He, W., Ju, W.*, Schwalm, C. R., Sippel, S., Wu, X., He, Q., Song, L., Zhang, C., Li, J., Sitch, S., Viovy, N., Friedlingstein, P., Jain, A. K. Large-scale droughts responsible for dramatic reductions of terrestrial net carbon uptake over North America in 2011 and 2012. Journal of Geophysical Research: Biogeosciences, 2018, 123(7):2053-2071, https://doi.org/10.1029/2018JG004520. （IF5=4.4，IF₂₀₁₈=3.621，JCR Q1区, 中科院二区）  

3. 何维, 江飞, 居为民*. 利用大气二氧化碳和羰基硫浓度评估陆地生态系统模型碳通量模拟的不确定性. 生态学报, 2020,40(13):4371-4382. [He W, Jiang F, Ju W M. Using atmospheric concentrations of carbon dioxide and carbonyl sulfide to assess the uncertainty of carbon fluxes simulated by terrestrial biosphere models. Acta Ecologica Sinica. 2020, 40(13): 4371-4382.] http://dx.doi.org/10.5846/stxb201911152458.

4. Wang, S., Zhang, Y.*, Ju, W., Chen, J.M., Ciais, P., Cescatti, A., Sardans, J., Janssens, I.A., Wu, M., Berry, J.A., Campbell, E., Fernández-Martínez, M., Alkama, R., Sitch, S., Friedlingstein, P., Smith, W.K., Yuan, W., He, W., Lombardozzi, D., Kautz, M., Zhu, D., Lienert, S., Kato, E., Poulter, B., Sanders, T.G.M., Krüger, I., Wang, R., Zeng, N., Tian, H., Vuichard, N., Jain, A.K., Wiltshire, A., Haverd, V., Goll, D.S. and Peñuelas, J. Recent global decline of CO₂ fertilization effects on vegetation photosynthesis. Science, 2020, 370(6522): 1295-1300. https://www.science.org/doi/10.1126/science.abb7772.

5. Li, J., Ju, W. *, He, W., Wang, H., Xu, M., Zhou, Y. An algorithm differentiating sunlit and shaded leaves for improving canopy conductance and evapotranspiration estimates. Journal of Geophysical Research: Biogeosciences, 2019,124(4): 807-824. https://doi.org/10.1029/2018JG004675.

6. Wu, X., Xiao, X.*, Zhang, Y., He, W., Wolf, S., Chen, J., et al. Spatiotemporal consistency of four gross primary production products and solar-induced chlorophyll fluorescence in response to climate extremes across CONUS in 2012. Journal of Geophysical Research: Biogeosciences, 2018, 123(10):3140-3163. https://doi.org/10.1029/2018JG004484.

7. Wang, S., Zhang, Y., * Hakkarainen, J., Ju, W., Liu, Y. *, Jiang, F., He, W. Distinguishing anthropogenic CO₂ emissions from different energy intensive industrial sources using OCO-2 observations: A case study in northern China. Journal of Geophysical Research: Atmospheres, 2018, 123(17): 9462-9473, https://doi. org/10.1029/2018JD029005.

8. Whelan, M. E. *, Lennartz, S. T., Gimeno, T. E., Wehr, R., Wohlfahrt, G., Wang, Y., Kooijmans, L. M. J., Hilton, T. W., Belviso, S., Peylin, P., Commane, R., Sun, W., Chen, H., Kuai, L., Mammarella, I., Maseyk, K., Berkelhammer, M., Li, K.-F., Yakir, D., Zumkehr, A., Katayama, Y., Ogée, J., Spielmann, F. M., Kitz, F., Rastogi, B., Kesselmeier, J., Marshall, J., Erkkilä, K.-M., Wingate, L., Meredith, L. K., He, W., Bunk, R., Launois, T., Vesala, T., Schmidt, J. A., Fichot, C. G., Seibt, U., Saleska, S., Saltzman, E. S., Montzka, S. A., Berry, J. A., and Campbell, J. E.: Reviews and syntheses: Carbonyl sulfide as a multi-scale tracer for carbon and water cycles. Biogeosciences, 2018, 15(2): 3625-3657. https://doi.org/10.5194/bg-15-3625-2018.

9. van der Laan-Luijkx*, I. T., van der Velde, I. R., van der Veen, E., Tsuruta, A., Stanislawska, K., Babenhauserheide, A., Zhang, H. F., Liu, Y., He, W., Chen, H., Masarie, K. A., Krol, M. C., and Peters, W.: The CarbonTracker Data Assimilation Shell (CTDAS) v1.0: implementation and global carbon balance 2001–2015. Geoscientific Model Development, 2017, 10(7): 2785-2800. https://doi.org/10.5194/gmd-10-2785-2017.

10. Zheng, G.*, Ma, L.X., Eitel, J.U.H., He, W., Magney, T.S., Moskal, L.M., Zhang, Z.Y. Retrieving directional gap fraction, extinction coefficient, and effective leaf area index by incorporating scan angle information from discrete aerial lidar data. IEEE Transactions on Geoscience and Remote Sensing, 2016, 55(1): 577-590. https://doi.org/10.1109/TGRS.2016.2611651.

11. Zheng, G.*, Ma, L.X., He, W., Eitel, J.U.H., Moskal, L.M., Zhang, Z.Y. Assessing the contribution of woody materials to forest angular gap fraction and effective leaf area index using terrestrial laser scanning (TLS) data. IEEE Transactions on Geoscience and Remote Sensing, 2015, 54(3):1475-1487. https://doi.org/10.1109/TGRS.2015.2481492.

12. Ma, L.X., Zheng, G.*, Eitel, J.U.H., Moskal, L.M., He, W., Huang, H. B. Improved salient feature-based approach for automatically separating photosynthetic and nonphotosynthetic components within terrestrial lidar point cloud data of forest canopies. IEEE Transactions on Geoscience and Remote Sensing, 2015, 54(2):679-696, https://doi.org/10.1109/TGRS.2015.2459716.

国际会议和培训

1. 2024年9月，法国凡尔赛，2024年欧洲综合碳观测组织（ICOS2024）科学会议，海报“Simulation of carbonyl sulfide and carbon dioxide fluxes in a northern boreal coniferous forest using memory-based deep learning”. https://www.icos-cp.eu/news-and-events/science-conference/icos2024sc/all-abstracts.

2. 2024年6月，韩国平昌，2024年亚洲大洋洲地球科学学会年会（AOGS2024）,口头报告“Regional carbon budget estimation over the Qinghai-Tibet Plateau from eddy covariance flux measurements using memory-based deep learning” 

3. 2024年4月，奥地利维也纳，2024年欧洲地球科学联合会年会（EGU2024)，口头报告“Improved estimation of net ecosystem CO₂   exchange for North America in eddy flux upscaling with memory-based deep learning ”, https://doi.org/10.5194/egusphere-egu24-13485

4. 2023年12月，美国旧金山，2023年美国地球物理联合会年会（AGU2023），口头报告“Recent dramatic decline of the land carbon sink in China associates with extreme heat and drought climates”

5. 2023年12月，美国旧金山，2023年美国地球物理联合会年会（AGU2023)，快闪报告“Improving net ecosystem CO₂ flux prediction using long short-term memory network with optimal predicting variables”

6. 2023年4月，奥地利维也纳，2023年欧洲地球科学联合会年会（EGU2023），海报“The Qinghai-Tibet Plateau may havealready shifted to carbon source: Evidence from OCO-2 satellite XCO₂ observations”, https://doi.org/10.5194/egusphere-egu23-1609 

7. 2020年9月，网络在线，2020年欧洲综合碳观测组织（ICOS2020）科学会议，海报“Evaluating anthropogenic CO₂ emissions of China estimated from atmospheric inversions of “proxy” species against tower CO₂ measurements”

8. 2020年5月，网络在线，2020年欧洲地球科学联合会年会（EGU2020），口头报告“Evaluating anthropogenic CO₂ emissions of China estimated from atmospheric inversions of “proxy” species against ground CO₂ measurements”

9. 2019年7月，日本横滨，2019年IEEE国际地球科学与遥感大会（IGARSS2019）, 口头报告“Ensemble satellite land products deepen the interpretation of drought impacts on terrestrial carbon cycle in Europe over 2001–2015”

10. 2018年4月，奥地利维也纳，2018年欧洲地球科学联合会年会（EGU2018），口头报告“Large-scale droughts responsible for dramatic reductions of terrestrial net carbon uptake over North America in 2011 and 2012”

11. 2016年12月，美国旧金山，2016年美国地球物理联合会年会（AGU2016），海报“Constraining gross primary production and ecosystem respiration for North America using atmospheric measurements of carbonyl sulfide and carbon dioxide”

12. 2016年4月，奥地利维也纳，2016年欧洲地球科学联合会年会（EGU2016），口头报告“CarbonTracker-Lagrange: A high-resolution data assimilation system for regional carbon flux estimates”

13. 2015年10月，荷兰雷内塞，Buijs Ballot Research School (BBOS) Autumn Symposium 2015, 口头报告“CarbonTracker-WRF-STILT: A Lagrangian model-data assimilation system for regional carbon flux estimates”

14. 2014年9月，意大利的里雅斯特，The International Space Science Institute’s (ISSI) Working Group on “Carbon Cycle Data Assimilation: How to Consistently Assimilate Multiple Data Streams”  

获奖荣誉

1. 2025年03月，两篇论文入选Wiley旗下杂志2023年度全球TOP10最高被引论文(1/15, 2/9)

2. 2025年01月，被评为浙江工业大学浙江碳中和创新研究院2024年教职工年度考核优秀人员

3. 2023年11月，荣获2021–2023年国际英文学术期刊《Journal of Remote Sensing》高关注度论文奖（排名6/10）

4. 2023年11月，荣获2023年第二季度“Wiley威立中国开放科学高贡献作者奖”（排名1/15）

5. 2022年01月，被评为南京大学国际地球系统科学研究所2021年度先进工作者

6. 2017年 01月，荣获南京大学国际学术交流奖励计划学术会议类二等奖

7. 2013年12月，荣获荷兰格罗宁根大学Ubbo Emmius三明治博士奖学金（留学奖学金）

学术兼职

1. AGU/EGU/IEEE-GRSS（地球科学与遥感分部）会员

2. COSANOVA全球羰基硫学术研究组织成员

3. OCO-2 MIP卫星反演模型比较计划科学团队成员

4. 全球碳计划（Global Carbon Project, 简称GCP）大气反演组成员

5. 中国林学会林业气象专业委员会委员

6. 湖北省气象学会环境气象专业委员会委员

7. 国家自然科学基金（面上、青年、地区及外青）函评人

8. 国际SCI期刊审稿人，审稿期刊包括AGU期刊 (Geophysical Research Letters, Global Biogeochemical Cycles, Journal of Geophysical Research–Biogeosciences, Earth and Space Science)、EGU期刊 (Atmospheric Chemistry and Physics, Geoscientific Model Development )、Elsevier期刊(Agricultural and Forest Meteorology, Journal of  Hydrology, CATENA, Science of the Total Environment), IOP期刊(Environmental Research Letters, Environmental Research: Ecology) 等