Earth System Model, Dust emission, Climate modeling, aerosol-climate interaction

• Ph.D., Meteorology, September 2008-June 2013, University of Chinese Academy of Sciences and Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences, Beijing, China

• B.S.,  Atmospheric sciences, September 2004-June 2008, Nanjing University, Nanjing, China

   

• Professor, January 2024-present, Institute of Atmospheric Physics (IAP), Chinese Academy of Science

• Associate Professor, March 2018-December 2023, Institute of Atmospheric Physics (IAP), Chinese Academy of Science

• Assistant Researcher, January 2018-February 2018, Institute of Atmospheric Physics (IAP), Chinese Academy of Science

• Postdoctoral Research Associate, February 2015-January 2018, Department of Atmospheric Science, University of Wyoming

• Assistant Researcher, July 2013-January 2015, Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences

• Visiting student, November 2009-February 2010, Institute for Geophysics and Meteorology, University of Cologne

   

1.       Wu, X., C. Wu, Z. Lin (2025), Intra-seasonal variations of dust activity over East Asia in spring 2023 and their mechanisms, Global and Planetary Change, 244, 104638, https://doi.org/10.1016/j.gloplacha.2024.104638

2.       Kamal, A., Z. Lin, and C. Wu (2024), Evaluation of CAS-ESM2 in simulating the spring dust activities in the Middle East, Atmospheric Research, 303, 107324, https://doi.org/10.1016/j.atmosres.2024.107324.

3.       Xu, L., Lin, G., Liu, X., Wu, C., Wu, Y., &Lou, S. (2024), Constraining light absorption of brown carbon in China and implications for aerosol direct radiative effect. Geophysical Research Letters, 51, e2024GL109861. https://doi.org/10.1029/2024GL109861

4.       Wang, W., Liu, X., Lin, G., & Wu, C. (2024), The impact of model horizontal resolution on simulating regional climate over East Asia using variable‐resolution CESM2. Journal of Geophysical Research: Atmospheres, 129, e2023JD040308. https://doi.org/10.1029/2023JD040308

5.       Li, C., C. Wu (2024), Intraseasonal variation in extreme precipitation in southern China during winter 2015/16, and its precursors. Clim Res 92:33-46. https://doi.org/10.3354/cr01732

6.       Song, X., X. Wu, B. Chen, C. Wu, T. Luo, X. Liu, and G. Shi (2024), Anthropogenic heat release, a non-negligible climatic factor for Eastern China in boreal summer, Theoretical and Applied Climatology, doi:10.1007/s00704-024-04982-y.

7.       Wang, H., X. Liu, C. Wu, and G. Lin (2024a), Regional to global distributions, trends, and drivers of biogenic volatile organic compound emission from 2001 to 2020, Atmos. Chem. Phys., 24(5), 3309-3328, doi:10.5194/acp-24-3309-2024.

8.       Wang, H., X. Liu, C. Wu, G. Lin, T. Dai, D. Goto, Q. Bao, T. Takemura, and G. Shi (2024b), Larger Dust Cooling Effect Estimated From Regionally Dependent Refractive Indices. Geophysical Research Letters, 51(9), e2023GL107647, doi:https://doi.org/10.1029/2023GL107647.

9.       Duan, S., R. Jiao, C. Wu (2024), Objective Identification Method for Dust Weather Based on the K-means Clustering Algorithm. Climatic and Environmental Research (in Chinese), 29 (2): 178−192, doi: 10.3878/j.issn.1006-9585.2023.23042

10.    Jiang, X., C. Wu, B. Chen, W. Wang, X. Liu, Z. Lin, and Z. Han (2023), Exploring a variable-resolution approach for simulating the regional climate in Southwest China using VR-CESM, Atmospheric Research, 292, 106851, doi:https://doi.org/10.1016/j.atmosres.2023.106851.

11.    Wang, W., X. Liu, C. Wu, G. Lin, Y. Wang, Z. Lu, X. Zhao, and L. Wei (2023), Fast Response of East Asian Precipitation in June 2020 to Local and Remote Aerosol Emission Reductions during COVID-19 %J Journal of Climate, 36(15), 5083-5101, doi:https://doi.org/10.1175/JCLI-D-22-0698.1.

12.    Chen, B., C. Wu, X. Song, et al. (2023), Anthropogenic heat release due to energy consumption exacerbates European summer extreme high temperature, Climate Dynamics, 61(7), 3831-3843, doi:10.1007/s00382-023-06775-x.

13.    Zhang, M., J. Zhao, B. Chen, Y. Zheng, M. Lu, X. Wu, H. Yang, X. Liu, C. Wu, M. Zhang, X. Zhao, J. Zha, T. Luo, W. Fan, G. Shi (2023), Anthropogenic heat due to energy consumption contributes to cooler and wetter summers in Southwest China, 11, doi:10.3389/feart.2023.1077939.

14.    Zhou, B., Y. Wang, H. Chen, Z. Lin, H. Zhang, C. Wu, Y. Jiang, K. Chen, C. Zhang (2023), Impacts of Tibetan Plateau Winter and Spring Snow Depth Anomalies on Summer Precipitation in Yunnan and Possible Mechanism. Climatic and Environmental Research (in Chinese), 28 (6): 676−686, doi: 10.3878/j.issn.1006-9585.2023.23047

15.    Wu, C., Z. Lin, Y. Shao, X. Liu, and Y. Li (2022), Drivers of recent decline in dust activity over East Asia, Nature Communications, 13(1), 7105, doi:10.1038/s41467-022-34823-3.

16.    Dike, V. N., Z.-H. Lin, C. Wu, and C. C. Ibe (2022), Advances in weather and climate extremes, in CLIMATE IMPACTS ON EXTREME WEATHER, edited by V. Ongoma and H. Tabari, pp. 49-63, doi:10.1016/B978-0-323-88456-3.00007-1.

17.    Kamal, A., Z. Lin, and C. Wu (2022). Decadal change of spring dust activity in western Iran and its mechanism. Front. Environ. Sci. 10:983048. doi: 10.3389/fenvs.2022.983048.

18.    Zhang, J., B. Zhao, X. Liu, G. Lin, Z. Jiang, C. Wu, & X. Zhao (2022). Effects of different types of aerosols on deep convective clouds and anvil cirrus. Geophysical Research Letters, 49, e2022GL099478. https://doi.org/10.1029/2022GL099478

19.    Fan, T., X. Liu, C. Wu, Q. Zhang, C. Zhao, X. Yang, and Y. Li (2022), Comparison of the Anthropogenic Emission Inventory for CMIP6 Models with a Country-Level Inventory over China and the Simulations of the Aerosol Properties, Adv Atmos Sci, 39(1), 80-96, doi:10.1007/s00376-021-1119-6.

20.    Lin, R., X. Dong, H. Zhang, C. Wu, and J. Jin (2022), Simulation of the Boreal Winter East Asian Cold Surge by IAP AGCM4.1, Atmosphere, 13(8), 1176.

21.    Torsri, K., Z. Lin, V. N. Dike, H. Zhang, C. Wu, and Y. Yu (2022), Simulation of Summer Rainfall in Thailand by IAP-AGCM4.1, Atmosphere, 13(5), 805.

22.    Wang, Y., Z. Lin, and C. Wu (2022), Comparison of the Spatial and Temporal Variability of Cloud Amounts over China Derived from Different Satellite Datasets, Remote Sensing, 14(9), 2173.

23.    Wei, L., Z. Lu, Y. Wang, X. Liu, W. Wang, C. Wu, X. Zhao, S. Rahimi, W. Xia, and Y. Jiang (2022), Black carbon-climate interactions regulate dust burdens over India revealed during COVID-19, Nature Communications, 13(1), 1839, doi:10.1038/s41467-022-29468-1.

24.    Xie, Z., Z. Cheng, C. Bueh, M. Yong, C. Wu, and P. Gomboluudev (2022), Pattern Transition of Dust Events over Northern China and Mongolia and Its Modulating Circulation in Spring, SOLA, 18, 159-166, doi:10.2151/sola.2022-026.

25.    Wu, C., Z. Lin, X. Liu, D. Ji, H. Zhang, C. Li, and G. Lin (2021), Description of Dust Emission Parameterization in CAS-ESM2 and Its Simulation of Global Dust Cycle and East Asian Dust Events, 13, e2020MS002456, https://doi.org/10.1029/2020MS002456.

26.    Tian, F., C. Wu*, H. Zhang, and Z. Lin (2021), Simulation and Projection of Evapotranspiration over the Tibetan Plateau Based on CAS-ESM2, Advances in Earth Science, in press. (in Chinese).

27.    Xu, Y., Z. Lin, and C. Wu (2021), Spatiotemporal Variation of the Burned Area and Its Relationship with Climatic Factors in Central Kazakhstan, Remote Sensing, 13(2), 313, doi:10.3390/rs13020313.

28.    Zong, Q., R. Mao, D.-Y. Gong, C. Wu, B. Pu, X. Feng, and Y. Sun (2021), Changes in Dust Activity in Spring over East Asia under a Global Warming Scenario, Asia-Pacific Journal of Atmospheric Sciences, doi:10.1007/s13143-021-00224-7.

29.    Gao, Y., M. Zhang, and C. Wu (2021), Analysis of aerosol distribution variations over China for the period 2045–2050 under different Representative Concentration Pathway scenarios, Atmospheric and Oceanic Science Letters, 14(2), 100027, doi:https://doi.org/10.1016/j.aosl.2020.100027.

30.    Wu, C., Z. Lin, and X. Liu (2020), The global dust cycle and uncertainty in CMIP5 (Coupled Model Intercomparison Project phase 5) models, Atmos. Chem. Phys., 20(17), 10401-10425, doi:10.5194/acp-20-10401-2020.

31.    Zhang, H., M. Zhang, J. Jin, K. Fei, D. Ji, C. Wu, J. Zhu, J. He, Z. Chai, J. Xie, X. Dong, D. Zhang, et al. (2020), Description and Climate Simulation Performance of CAS-ESM Version 2, Journal of Advances in Modeling Earth Systems, 12(12), e2020MS002210, doi:https://doi.org/10.1029/2020MS002210.

32.    Kamal, A., C. Wu, and Z. Lin (2020), Interannual variations of dust activity in western Iran and their possible mechanisms, Big Earth Data, 4(2), 175-190, doi:10.1080/20964471.2019.1685825.

33.    Feng, X., R. Mao, D.-Y. Gong, C. Zhao, C. Wu, C. Zhao, G. Wu, Z. Lin, X. Liu, K. Wang, Y. Sun (2020), Increased Dust Aerosols in the High Troposphere Over the Tibetan Plateau From 1990s to 2000s, 125(13), e2020JD032807, doi:10.1029/2020jd032807.

34.    Wu, M., X. Liu, H. Yu, H. Wang, Y. Shi, K. Yang, A. Darmenov, C. Wu, Z. Wang, T. Luo, Y. Feng, Z. Ke (2020), Understanding Processes that Control Dust Spatial Distributions with Global Climate Models and Satellite Observations, Atmos. Chem. Phys. Discuss., 2020, 1-52, doi:10.5194/acp-2020-160.

35.    Chen, B., C. Wu, X. Liu, et al. (2019), Seasonal climatic effects and feedbacks of anthropogenic heat release due to global energy consumption with CAM5, Climate Dynamics, 52(11), 6377-6390, doi:10.1007/s00382-018-4528-1.

36.    D’Alessandro, J. J., M. Diao, C. Wu, X. Liu, J. B. Jensen, and B. B. Stephens (2019), Cloud Phase and Relative Humidity Distributions over the Southern Ocean in Austral Summer Based on In Situ Observations and CAM5 Simulations, J. Climate, 32(10), 2781-2805, doi:10.1175/jcli-d-18-0232.1.

37.    Lin, L., A. Gettelman, Y. Xu, C. Wu, Z. Wang, N. Rosenbloom, S. C. Bates, and W. Dong (2019), CAM6 simulation of mean and extreme precipitation over Asia: sensitivity to upgraded physical parameterizations and higher horizontal resolution, Geosci. Model Dev., 12(8), 3773-3793, doi:10.5194/gmd-12-3773-2019.

38.    Rahimi, S., X. Liu, C. Wu, W. K. Lau, H. Brown, M. Wu, and Y. Qian (2019a), Quantifying snow darkening and atmospheric radiative effects of black carbon and dust on the South Asian monsoon and hydrological cycle: experiments using variable-resolution CESM, Atmos. Chem. Phys., 19(18), 12025-12049, doi:10.5194/acp-19-12025-2019.

39.    Rahimi, S. R., C. Wu, X. Liu, and H. Brown (2019b), Exploring a Variable-Resolution Approach for Simulating Regional Climate Over the Tibetan Plateau Using VR-CESM, J. Geophys. Res. Atmos., 124(8), 4490-4513, doi:10.1029/2018jd028925.

40.    Wu, M., X. Liu, K. Yang, T. Luo, Z. Wang, C. Wu, K. Zhang, H. Yu, and A. Darmenov (2019), Modeling Dust in East Asia by CESM and Sources of Biases, Journal of Geophysical Research: Atmospheres, 124(14), 8043-8064, doi:10.1029/2019jd030799.

41.    Zhang, M., X. Liu, M. Diao, J. J. D'Alessandro, Y. Wang, C. Wu, D. Zhang, Z. Wang, and S. Xie (2019), Impacts of Representing Heterogeneous Distribution of Cloud Liquid and Ice on Phase Partitioning of Arctic Mixed-Phase Clouds with NCAR CAM5, J. Geophys. Res. Atmos., 124(23), 13071-13090, doi:10.1029/2019jd030502.

42.    Zhang, X.-X., B. Sharratt, J.-Q. Lei, C. Wu, et al. (2019), Parameterization schemes on dust deposition in northwest China: Model validation and implications for the global dust cycle, Atmos Environ, 209, 1-13, doi:https://doi.org/10.1016/j.atmosenv.2019.04.017.

43.    Wu, C., Z. Lin, X. Liu, Y. Li, Z. Lu, M. Wu (2018), Can climate models reproduce the decadal change of dust aerosol in East Asia? Geophysical Research Letters, 45, 9953-9962, https://doi.org/10.1029/2018GL079376.

44.    Wu, C., X. Liu, Z. Lin, S. R. Rahimi-Esfarjani, and Z. Lu (2018), Impacts of absorbing aerosol deposition on snowpack and hydrologic cycle in the Rocky Mountain region based on variable-resolution CESM (VR-CESM) simulations, Atmos. Chem. Phys., 18, 511-533, https://doi.org/10.5194/acp-18-511-2018.

45.    Brown, H., X. Liu, Y. Feng, Y. Jiang, M. Wu, Z. Lu, C. Wu, S. Murphy, and R. Pokhrel (2018), Radiative Effect and Climate Impacts of Brown Carbon with the Community Atmosphere Model (CAM5), Atmos. Chem. Phys., 18, 17745-17768, https://doi.org/10.5194/acp-18-17745-2018.

46.    Wu, M., X. Liu, L. Zhang, C. Wu, Z. Lu, P.-L. Ma, H. Wang, S. Tilmes, N. Mahowald, H. Matsui, R. C. Easter. (2018), Impacts of aerosol dry deposition on black carbon spatial distributions and radiative effects in the Community Atmosphere Model CAM5, Journal of Advances in Modeling Earth Systems, 10, 1150-1171, https://doi.org/10.1029/2017MS001219.

47.    Lu, Z., X. Liu, Z. Zhang, C. Zhao, K. Meyer, C. Rajapakshe, C. Wu, Z. Yang, J. E. Penner (2018), Biomass smoke from southern Africa can significantly enhance the brightness of stratocumulus over southeastern Atlantic Ocean, Proceedings of the National Academy of Sciences, 115 (12), 2924-2929, https://doi.org/10.1073/pnas.1713703115.

48.    Lin, Z., X. Yang, C. Wu, Y. Wang, H. Chen (2018), Assessment of the CMIP5 model’s capability in reproducing the observed climatology and decadal changes of summer rainfall with different Intensities over Eastern China, Climatic and Environmental Research, 2018, 23(1), 1-25. (In Chinese)

49.    Wu, C., X. Liu, Z. Lin, A. M. Rhoades, P. A. Ullrich, C. M. Zarzycki, Z. Lu, and S. R. Rahimi-Esfarjani (2017), Exploring a Variable-Resolution Approach for Simulating Regional Climate in the Rocky Mountain Region Using the VR-CESM, J. Geophys. Res. Atmos., 122, 10,939-10,965, 10.1002/2017JD027008.

50.    Wu, C., X. Liu, M. Diao, K. Zhang, A. Gettelman, Z. Lu, J. E. Penner, and Z. Lin (2017), Direct comparisons of ice cloud macro- and microphysical properties simulated by the Community Atmosphere Model version 5 with HIPPO aircraft observations, Atmos. Chem. Phys., 17, 4731-4749, doi:10.5194/acp-17-4731-2017.

51.    D’Alessandro, J., M. Diao, C. Wu, X. Liu, M. Chen, H. Morrison, T. Eidhammer, J. B. Jensen, A. Bansemer, M. A. Zondlo, J. P. DiGangi (2017), Dynamical conditions of ice supersaturation in convective systems: a comparative analysis between in-situ aircraft observations and WRF simulations, J. Geophys. Res. Atmos.,122, 2844-2866, doi:10.1002/2016JD025994.

52.    Wu, C., Z. Lin, J. He, M. Zhang, X. Liu, R. Zhang, and H. Brown (2016), A process-oriented evaluation of dust emission parameterizations in CESM: Simulation of a typical severe dust storm in East Asia, J. Adv. Model. Earth Syst., 8(3), 1432-1452, doi:10.1002/2016MS000723.

53.    Lin, Z., Z. Yu, H. Zhang, and C. Wu (2016), Quantifying the attribution of model bias in simulating summer hot days in China with IAP AGCM 4.1, Atmos. Oceanic Sci. Lett., 9(6), 436-442, doi:10.1080/16742834.2016.1232585.

54.    Wang, K., Z. Lin, J. Ling, Y. Yu and C. Wu (2016), MJO potential predictability and predictive skill in IAP AGCM 4.1, Atmos. Oceanic Sci. Lett., 9(5), 388-393, doi: 10.1080/16742834.2016.1211469.

55.    Wu, C., and Z. Lin (2014), The impact of two different dust emission schemes on the simulation of a severe dust storm in East Asia using WRF/Chem model, Climatic and Environmental Research, 19(4): 419-436. (In Chinese)

56.    Wu, C., and Z. Lin (2013), Uncertainty in dust budget over East Asia simulated by WRF/Chem with different dust emission schemes, Atmos. Oceanic Sci. Lett., 6(6): 428-433.

57.    Zhou, X., C. Wu, Z. Lin, et al. (2011), Uncertainty Analysis of Surface Dust Emission Parameters of a Dust Model, Journal of Desert Research, 2011, 31(3): 575-582. (In Chinese)

His research focuses on the developments and applications of Earth System Models (ESMs), by improving the dust emission, aerosol processes and aerosol-climate interactions as well as adopting the models for climate prediction and future projection to mitigate the impacts of climate change and meteorological disasters. 

Wu, C., H. Zhang, Z. Lin, K. Fei, Subseasonal to seasonal climate prediction system and applications. International Training Workshop on Open Science Infrastructures for Disaster Mitigation. November 14-15, 2024, Ulaanbaatar, Mongolia. (Invited talk)

Wu, C., Z. Lin, H. Zhang, Y. Yu, Y. Zhan, H. Zhang, K. Fei, Application of CAS-ESM for drought prediction over Southeast Asian region. INCAP 2023: Increasing CAPability on Drought and its prediction at S2S time scale. September 6-8, 2023, Bangkok, Thailand. (Invited talk)

Wu, C., and Z. Lin, Drivers for the temporal variations of dust activity in East Asia. China-Mongolia joint symposium on dust storm, June 8, 2023, Beijing, China.

Wu, C. Air Quality Prediction from Regional to Global Scales. Webinar on "International Day of Clearn Air for Blue Skies" Hosted by COMSATS Centre for Climate and Sustainability (CCCS), September 7, 2020. (Invited talk)

Wu, C., Z. Lin, X. Liu. Global dust modelling and impacts of dust on climate and environment. The International Workshop for “Climate Change between Present and Future Scenarios.” Hosted by National Research Centre of Egypt, Cairo, Egypt, January 22, 2019.

Wu, C. Introduction to statistical data analysis focused on variability of rainfall and temperature based on observation data. Increasing Capability (INCAP) in Data Science for Model Output Statistics (MOS) and Bias Correction Approach to Short-term and Seasonal Weather Forecast, August 5-9, 2018. (Invited talk).

Wu, C., Z. Lin, X. Liu. Impacts of climate change and land use change on dust emission in East Asia. The 16th Asia Oceania Geosciences Society (AOGS) Annual meeting. July 28 – August 2, 2019, Singapore city, Singapore. 

Wu, C., Z. Lin, X. Liu. Global dust emissions in climate models and ESMs. 18th CAS-TWAS-WMO Forum (CTWF) International Symposium on Aerosol and Climate Change: Observations, Modeling & Interactions, July 15-17, 2019, Beijing, China.

Wu, C., Z. Lin. High-resolution climate modeling in the Tibetan Plateau and surroundings using a variable-resolution global climate model. The 1st International Conference on Geography and Geoinformatics for Sustainable Development 2018 (ICGGS 2018), July 19-20, 2018, Bangkok, Thailand. (Invited talk)

Wu, C., Z. Lin, and X. Liu. Long-term variations of dust aerosol over East Asia from observations and climate model simulations. Presenting at the Institute of Meteorology, Hydrology and Environment (IMHE), Jun 7, 2018, Ulaanbaatar, Mongolia. (Invited talk)

Wu, C., X. Liu, A. Rhoades, P. Ullrich, and C. Zarzycki. CESM variable-resolution modeling of impacts of absorbing aerosol deposition on snowpack and hydrologic cycle in the Rocky Mountain region. CESM Atmosphere Model Working Group Meeting, February 8-11, 2016, Boulder, Colorado, US.

Wu, C., and Z. Lin. Modeling dust emission and transport over East Asia by WRF/Chem: sensitivity to dust emission schemes. The 13th International Regional Spectral Model Workshop, November 26–28, 2014, Yokohama, Japan.

Wu, C., and Z. Lin. Global dust budget simulated by the Community Earth System Model (CESM) coupled with a physically-based dust emission scheme. The Eighth International Conference on Aeolian Research (ICAR VIII), July 21–25, 2014, Lanzhou, China.

Wu, C., S. Fu, Z. Lin, J. Sun. Simulations of sand and dust storms: improvement of dust emission scheme and its applications. Presenting at the Institute of Meteorology, Hydrology and Environment (IMHE), Oct 14, 2013, Ulaanbaatar, Mongolia.

Co-Investigator: Artificial Intelligence and Earth System Modeling toward Detection of Extreme Climate Events in the BRICS, National Key Research & Development Program for intergovernmental STI collaboration under BRICS framework, 2023-2026.

Co-Investigator: Study on the severe duststorm weather in Mongolia and northern China and its monitoring and prediction methods, National Science Foundation of China (NSFC)-Mongolian Foundation for Science and Technology (MFST) joint project, 2023-2025.

PI: Development of the next-generation high-resolution atmospheric chemistry model, Sub-project of National Key Research & Development Program of China, Ministry of Science and Technology of China (MOST), 2020-2024.

PI: Simulate the impacts of light-absorbing aerosol deposition on the surface energy and water cycles in the Tibetan Plateau, National Science Foundation of China (NSFC), 2020-2023.

Co-Investigator: Numerical Study of Mechanisms of Aerosol-Weather-Climate Interactions and Impacts on Severe Air Pollution in East China, Key Program of National Science Foundation of China (NSFC), 2019-2023.

Co-Investigator: Seasonal climate and streamflow forecasts for basin-wide water resources management with emphasis on extremes, Chinese Academy of Sciences-Commonwealth Scientific and Industrial Research Organization (CAS-CSIRO) International Cooperation Program, 2020-2022.

Ph. D. student (co-supervisor): Dr. Alireza Kamal (graduated), Dr. Weiyi Wang (graduated), Ms. Jinming Zhang, Ms. Xiaoling Wu

M.S. student (co-supervisor): Ms. Qi Sun (graduated), Ms. Xin Song (graduated), Ms. Xiaoyu Jiang (graduated), Ms. Sainan Duan (graduated), Ms. Feiya Bi, Ms. Xiaojie Guo

l   Young Affliliate, The World Academy of Sciences, 2024-2029

l   Team Member, Ten Major Achievements in Meteorology Science and Technology of 2023 in China.

l   Science and Technology Innovation Award, Institute of Atmospheric Physics, Chinese Academy of Sciences (2023).

l   Young Talent Award, the tenth Tsinghua University-Inspur Computing Geosciences (2022).

l   Awardee, Chinese Academy of Sciences Pioneer Hundred Talents Program for Promising Young (2018).

l   Editor’s Citation for Excellence in Referencing, American Geophysical Union 2020.