麻豆视频

师资队伍

2025:

Wang, Z., Wang, J.*, Zhou, H., Cai, Q., Yan, R., Wang, H., Huang, Z., Wang, M., and Ju, W.: Loss and recovery of terrestrial carbon sinks induced by 2020 extreme precipitation in the Yangtze River Valley, Journal of Hydrology, 664, 134390, 2026. ZishanWang-JH-2025.pdf

Meng, C., Zhou, H.*, Liu, X., Zheng, J., Wang, J., Zeng, Q., and Hu, S.: Distinguishing the main climatic drivers of terrestrial vegetation carbon dynamics in pan-Arctic ecosystems, Ecological Informatics, doi: 10.1016/j.ecoinf.2025.103267, 2025. 2025. Meng-EcologicalInfomatics-2025.pdf

Dong, G., Jiang, F.*, Ju, W., Zhang, Y., Werf, G. R. v. d., Xiao, J., Li, X., Fan, L., Li, X., Zhang, Z., Wu, M., Tian, J., Wang, J., Zhou, Y., Xiao, Y., Zhang, K., Lv, G., Zhang, Y., and Chen, J. M.: Extreme fire emissions dominate the Amazonian land sink decline in 2024, The Innovation Geoscience, doi: 10.59717/j.xinn-geo.2025.100173, 2025. 2025. Extreme fire emissions dominate the Amazonian land sink decline in 2024.pdf

Jia, M., Jiang, F.*, Evangeliou, N., Eckhardt, S., Stohl, A., Huang, X., Shen, Y., Feng, S., He, W., Wang, J., Wang, H., Wu, M., Ju, W., and Ding, A.: Anthropogenic Carbon Monoxide Emissions During 2014–2020 in China Constrained by In Situ Ground Observations, Journal of Geophysical Research: Atmospheres, 130, 2025. JGR-A-2025-Jia .pdf

Zhu, Z., Wang, M.*, Wang, J., Duan, A., Liu, B., and Yu, Z.: Intraseasonal Oscillation Intensity Variations of the Atmospheric Heat Source over the Tibetan Plateau and Their Relationship with Summer Precipitation, Journal of Climate, 38, 931-946, 2025. clim-JCLI-D-24-0216.1.pdf

Tan, J., Wang, J.*, Mao, H., Wang, H., Liu, Z., Wang, M., Yan, R., Wang, X., and Jiang, F.: Impact of net-zero emissions on atmospheric CO2 concentration in China: Ideal simulations based on the GEOS-Chem model, Science China Earth Sciences, doi: 10.1007/s11430-024-1502-y, 2025.     谭景烨,王军,毛慧琴,王恒茂,刘志强,王美蓉,阎然,王训梅,江飞:净零排放对中国大气二氧化碳浓度的影响——基于GEOS-Chem模型的理想模拟. 中国科学: 地球科学, 55, doi: 10.1360/N072024-0163,2025.  Tan-SCES-2025-English.pdfTan-SCES-2025-Chinese.pdf

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



2024:


Yan, R., Wang, J.*, Ju, W.*, Xing, X., Yu, M., Wang, M., et al.: Distinct impacts of the El Niño–Southern Oscillation and Indian Ocean Dipole on China's gross primary production. Biogeosciences, 21(22), 5027-5043, 2024. bg-21-5027-2024.pdf

Yan, R., Wang, X., Wang, J.*, Tan, J., and Ju, W.: Warm Early Summer Compensated Reduction in Photosynthesis Caused by 2022 Late Summer Extreme Drought Over the Tibetan Plateau, Journal of Geophysical Research: Biogeosciences, 129, 2024. JGR Biogeosciences-2024.pdf

Tan, J., Wang, J.*, Wang, H., Liu, Z., Zeng, N., Yan, R., et al.: Influence of extreme 2022 heatwave on megacities' anthropogenic CO(2) emissions in lower-middle reaches of the Yangtze River. Science of the Total Environment, 175605. //www.ncbi.nlm.nih.gov/pubmed/39154994, 2024. 2024-STOTEN-heatwave-anthropogenic-emission.pdf

Zhu, H., Wu, M.*, Jiang, F., Vossbeck, M., Kaminski, T., Xing, X., Wang, J., Ju, W., and Chen, J. M.: Assimilation of carbonyl sulfide (COS) fluxes within the adjoint-based data assimilation system – Nanjing University Carbon Assimilation System (NUCAS v1.0), Geosci Model Dev, 17, 6337-6363, 2024. gmd-17-6337-2024.pdf

张志枨王训梅王军*. 2024. 结合自下而上和自上而下方法的中国陆地碳汇估算 [J]. 气候与环境研究, 29(3): 229−242.ZHANG Zhicheng, WANG Xunmei, WANG Jun, et al. 2024. Estimates of China’s Terrestrial Carbon Sinks Using both Bottom-up and Top-down Approaches [J]. Climatic and Environmental Research (in Chinese), 29 (3): 229−242. doi:10.3878/j.issn.1006-9585.2024.23152. 结合自下而上和自上而下方法的中国陆地碳汇估算.pdf

Li, Y., Jiang, F.*, Jia, M., Feng, S., Lai, Y., Ding, J., He, W., Wang, H., Wu, M., Wang, J., Shen, F., and Zhang, L.: Improved estimation of CO2 emissions from thermal power plants based on OCO-2 XCO(2) retrieval using inline plume simulation, Sci Total Environ, 913, 169586, 2024.STOTEN2024-Li.pdf



2023:

Wang, J.*, Zeng, N., Wang, M., Jiang, F., Chevallier, F., Crowell, S., He, W., Johnson, M. S., Liu, J., Liu, Z., Miller, S. M., Philip, S., Wang, H., Wu, M., Ju, W., Feng, S., and 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, Geophys Res Lett, 50, e2023GL103379, 2023.Wang-GRL-2023.pd

Liu, Z.*, Zeng, N.*, Liu, Y., Wang, J., Han, P., and Cai, Q.: Weaker regional carbon uptake albeit with stronger seasonal amplitude in northern mid-latitudes estimated by higher resolution GEOS-Chem model, Sci Total Environ, doi: 10.1016/j.scitotenv.2023.169477, 2023. 169477, 2023. 2023Liu-STOTEN.pdf

Wang, M., Yao, X.*, Wang, J., Liu, B., Zhu, Z., Zhou, S., and Yuan, J.: Spatial Heterogeneity of Summer Rainfall Trends over the Tibetan Plateau Contributed by Different Rainfall Intensities, Remote Sensing, 15, 5587, 2023.RS2023.pdf

Xing, X., Wu, M., Zhang, W., Ju, W., Tagesson, T., He, W., Wang, S., Wang, J., Hu, L., Yuan, S., Zhu, T., Wang, X., Ran, Y., Li, S., Wang, C., and Jiang, F.: Modeling China's terrestrial ecosystem gross primary productivity with BEPS model: Parameter sensitivity analysis and model calibration, Agricultural and Forest Meteorology, 343, 2023. Xing-AFM-2023.pdf

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., and Chen, J. M.: Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO‐2 XCO2 Retrievals, Journal of Geophysical Research: Atmospheres, 128, 2023. He_JGR_A_2023.pdf

He, W., Jiang, F.*, Ju, W., Byrne, B., Xiao, J., Nguyen, N. T., Wu, M., Wang, S., Wang, J., Rödenbeck, C., Li, X., Scholze, M., Monteil, G., Wang, H., Zhou, Y., He, Q., and Chen, J. M.: Do State‐Of‐The‐Art Atmospheric CO2 Inverse Models Capture Drought Impacts on the European Land Carbon Uptake?, J Adv Model Earth Sy, 15, 2023.He_JAMES_2023.pdf

Yan, R., Wang, J.*, Ju, W., Goll, D. S., Jain, A. K., Sitch, S., Tian, H., Benjamin, P., Jiang, F., and Wang, H.: Interactive effects of the El Niño-Southern Oscillation and Indian Ocean Dipole on the tropical net ecosystem productivity, Agricultural and Forest Meteorology, 336, 109472, 2023. Yan-AFM-2023.pdf

Wang, J.*, Yan, R., Wu, G., Liu, Y., Wang, M., Zeng, N., Jiang, F., Wang, H., He, W., Wu, M., Ju, W., and Chen, J. M.: Unprecedented decline in photosynthesis caused by summer 2022 record-breaking compound drought-heatwave over Yangtze River Basin, Sci Bull, 68, 2160-2163, 2023, //doi.org/10.1016/j.scib.2023.08.011.Wang-SB-2023.pdf

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., and Chen, J. M.: A Robust Estimate of Continental‐Scale Terrestrial Carbon Sinks Using GOSAT XCO2 Retrievals, Geophys Res Lett, 50, 2023.GRL2023 - Zhang.pdf

Zhu, Z., Wang, M.*, Wang J., , Ma, X., Luo, J., and Yao, X.: Diurnal Variation Characteristics of the Surface Sensible Heat Flux over the Tibetan Plateau, Atmosphere, 14, 2023.  2023-Atmosphere-14-00128.pdf


2022:

Yang, R., Wang, J.*, Zeng, N., Sitch, S., Tang, W., McGrath, M. J., Cai, Q., Liu, D., Lombardozzi, D., Tian, H., Jain, A. K., and Han, P.: Divergent historical GPP trends among state-of-the-art multi-model simulations and satellite-based products, Earth Syst. Dynam., 13, 833-849, 2022. esd-13-833-2022.pdf

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., and Zaehle, S. n.: Enhanced India‐Africa Carbon Uptake and Asia‐Pacific Carbon Release Associated With the 2019 Extreme Positive Indian Ocean Dipole, Geophys Res Lett, 49, 2022. Wang -GRL-2022.pdf

Jiang F.*, He W., Ju W. M., Wang H. M., Wu M.S., Wang J., Feng S. Z., Zhang L. Y., Chen J. M., The status of carbon neutrality of the world's top 5 CO2 emitters as seen by carbon satellites, Fundamental Research, //doi.org/10.1016/j.fmre.2022.02.001, 2022.

He, W., Jiang, F.*, Wu, M.*, Ju, W., Scholze, M., Chen, J. M., Byrne, B., Liu, J., Wang, H., Wang, J., Wang, S., Zhang, C., Nguyen, N. T., Shen, Y., Zhou, 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, 127, e2021JG006644, //doi.org/10.1029/2021JG006644, 2022.

Wang, H., Jiang, F.*, Liu, Y., Yang, D., Wu, M., He, W., Wang, J., Ju, W., Chen, J. M., Global terrestrial ecosystem carbon flux inferred from TanSat XCO2 retrievals, Journal of Remote Sensing, vol. 2022, Article ID 9816536, 12 pages, //doi.org/10.34133/2022/9816536,  2022.

王美蓉*周顺武孙阳, 王军, 马淑俊, 余忠水. CMIP6 全球气候模式对青藏高原中东部地表感热通量模拟能力评估 [J]. 大气科学, 46(5): 1225−1238, 2022.WANG Meirong, ZHOU Shunwu, SUN Yang, et al. Assessment of the Spring Sensible Heat Flux over the Central and Eastern Tibetan Plateau Simulated by CMIP6 Multi-models [J]. Chinese Journal of Atmospheric Sciences (in Chinese), 46(5): 1225−1238. doi:10.3878/j.issn.1006- 9895.2204.21169, 2022. 2022-大气科学-wang.pdf


2021:

Wang, J., Jiang, F.*, Wang, H.M., Qiu, B., Wu, M.S., He, W., Ju, W.M., Zhang, Y.G., Chen, J.M., Zhou, Y.L., Constraining global terrestrial gross primary productivity in a global carbon assimilation system with OCO-2 chlorophyll fluorescence data, Agricultural and Forest Meteorology, 304–305, 15 July 2021, 108424, //doi.org/10.1016/j.agrformet.2021.108424, 2021. 

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., Wu, M. Regional CO2 fluxes from 2010 to 2015 inferred from GOSAT XCO2 retrievals using a new version of the Global Carbon Assimilation System,Atmospheric Chemistry and Physics, 21, 1963–1985, //doi.org/10.5194/acp-21-1963-2021, 2021. 

Wang, M., Lau, W.K.M. and Wang, J., Impact of middle east dust on subseasonal-to-seasonal variability of the Asian summer monsoon. Climate Dynamics, 57(1-2): 37-54, 2021.

Wang M. R., Wang J.*, Cai Q. X., Zeng N., Lu X. H., Yang R. Q., Jiang F., Wang H. M., Ju W. M., Considerable Uncertainties in Simulating Land Carbon Sinks Induced by Different Precipitation Products,Journal of Geophysical Research-Biogeosciences, //doi.org/10.1029/2021JG006524, 2021.

Wang, J.*, Wang, M.R., Kim, J.S., Joiner, J., Zeng, N., Jiang, F., Wang, H.M., He, W., Wu, M.S., Chen, T.X., Ju, W.M., Chen, J.M., Modulation of land photosynthesis by the Indian Ocean Dipole: satellite-based observations and CMIP6 future projections, Earth’s Future, //doi.org/10.1029/2020EF001942, 2021.

Lu, H., Li, S., Ma, M., Bastrikov, V., Chen, X., Ciais, P., Dai, Y., Ito, A., Ju, W., Lienert, S., Lombardozzi, D., Lu, X., Maignan, F., Nakhavali, M., Quine, T., Schindlbacher, A., Wang, J., Wang, Y., Wårlind, D., Zhang, S., and Yuan, W.*: Comparing machine learning-derived global estimates of soil respiration and its components with those from terrestrial ecosystem models, Environmental Research Letters, 16, 2021.


2020:

Wang J.*, Liu Z., Zeng N., Jiang F., Wang H., Ju W., Spaceborne detection of XCO2 enhancement induced by Australian mega-bushfires, Environmental Research Letters, //doi.org/10.1088/1748-9326/abc846, 2020.

Chen, T.*, Zhou, S., Liang, C., Hagan, D. F. T., Zeng, N., Wang, J., Shi, T., Chen, X., and Dolman, A. J.: The Greening and Wetting of the Sahel Have Leveled off since about 1999 in Relation to SST, Remote Sensing, 12, 2020.


2019:

Wang, M.*, Wang, J.*, Duan, A., Yang, J. and Liu, Y., 2019. Quasi-biweekly impact of the atmospheric heat source over the Tibetan Plateau on summer rainfall in Eastern China. Climate Dynamics, 2019.

Wang, M.*, Wang, J., Chen, D., Duan, A., Liu, Y., Zhou, S., et al. Recent recovery of the boreal spring sensible heating over the Tibetan Plateau will continue in CMIP6 future projections. Environmental Research Letters, 14(12), 2019.

Wang, H. M., Jiang, F.*, Wang, J., Ju, W. M., and Chen, J. M.: Terrestrial ecosystem carbon flux estimated using GOSAT and OCO-2 XCO2 retrievals, Atmos. Chem. Phys., 19, 12067–12082, //doi.org/10.5194/acp-19-12067-2019, 2019.


2018:

Wang, J.; Zeng, N.*; Wang, M. R.; Jiang, F.*; Chen, J. M.; Friedlingstein, P.; Jain, A. K.; Jiang, Z. Q.; Ju, W. M.; Lienert, S.; Nabel, J.; Sitch, S.; Viovy, N.; Wang, H. M.; Wiltshire, A. J., Contrasting interannual atmospheric CO2 variabilities and their terrestrial mechanisms for two types of El Niños, Atmospheric Chemistry and Physics, 18(14): 10333~10345, //doi.org/10.5194/acp-18-10333-2018, 2018.

Wang, J.*; Zeng, N.; Wang, M. R.; Jiang, F.; Wang, H. M.; Jiang, Z. Q., Contrasting terrestrial carbon cycle responses to the 1997/98 and 2015/16 extreme El Niño events, Earth System Dynamics, 9: 1~14, //doi.org/10.5194/esd-9-1-2018, 2018.

Wang, M., Wang, J.*, Duan, A.*, Liu, Y., & Zhou, S. Coupling of the Quasi-Biweekly Oscillation of the Tibetan Plateau Summer Monsoon With the Arctic Oscillation. Geophysical Research Letters, 2018.


2017:

Wang, M., Wang, J.*, & Duan, A. Propagation and Mechanisms of the Quasi-Biweekly Oscillation over the Asian Summer Monsoon Region. Journal of Meteorological Research, 31, 321-335, 2017.


2016:

Wang, J.*, Zeng, N., & Wang, M. Interannual variability of the atmospheric CO2 growth rate: roles of precipitation and temperature. Biogeosciences, 13(8), 2339-2352, 2016.


2014:

Wang, J., Zeng, N.*, Liu, Y., & Bao, Q.*. To what extent can interannual CO2 variability constrain carbon cycle sensitivity to climate change in CMIP5 Earth System Models? Geophysical Research Letters, 41(10), 3535-3544, 2014.

Wang, J., Bao, Q.*, & Zeng, N. Terrestrial Carbon Cycle in FGOALS-s2. In Flexible Global Ocean-Atmosphere-Land System Model (pp. 45-47), 2014.


2013:

Wang, J., Bao, Q.*, Ning, Z., Liu, Y. M., Wu, G. X., & Ji, D. Y. Earth System Model FGOALS-s2: Coupling a dynamic global vegetation and terrestrial carbon model with the physical climate system model. Advances in Atmospheric Sciences, 30(6), 1549-1559, 2013. 

Bao, Q.*, Lin, P. F., Zhou, T. J., Liu, Y. M., Yu, Y. Q., Wu, G. X., He, B., He, J., Li, L. J., Li, J. D., Li, Y. C., Liu, H. L., Qiao, F. L., Song, Z. Y., Wang, B., Wang, J., Wang, P. F., Wang, X. C., Wang, Z. Z., Wu, B., Wu, T. W., Xu, Y. F., Yu, H. Y., Zhao, W., Zheng, W. P., and Zhou, L. J.: The Flexible Global Ocean-Atmosphere-Land system model, Spectral Version 2: FGOALS-s2, Adv Atmos Sci, 30, 561-576, 2013.


2012:

王军包庆刘屹岷等. 2012.大气环流模式SAMIL模拟的夏季全球加热场和东亚夏季风 [J].大气科学36(1):63-76.  Wang JunBao QingLiu Yi minet al. 2012. Performances of SAMIL on the global heating and the East Asian summer monsoon [J].Chinese Journal of Atmospheric Sciences (in Chinese),36 (1):63-76. 大气科学-2012.pdf



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