· 上海海外高层次人才项目，2021/10-2026/10, 200万，主持（在研）

· 国家重点研发计划，“陆气相互作用关键要素的卫星定量遥感反演”，2024/12-2029/11, 课题负责人（在研）

· 自然基金委面上项目，“耦合冻土水文过程和微波辐射传输的环北极土壤水分与有机碳联合反演”，2024/01-2027/12，48万，主持（在研）

· 上海市科委政府间国际科技科技合作项目，“青藏高原冻土区土壤碳循环对气候变化的响应及其与环北极的差异研究”，2023/09-2026/08，50万，主持（在研）

·  长江水利委员会长江科学院，“长江流域植被与蒸散发空间数据整理分析”，2024/07-2025/12，19.5万，主持（在研）

1. Jiang, H., Yi, Y.*, Yang, K., Zhao, L., Chen, D., Kimball, J.S., Lu, F.: Soil Freeze/Thaw Dynamics Strongly Influences Runoff Regime in a Tibetan Permafrost Watershed: Insights from a Process-Based Model. Catena, 243 (2024) 108182, 2024.

2. He, M., Cui, J.*, Yi, Y.*, et al. Vegetation increases global climate vulnerability risk by shifting climate zones in response to rising atmospheric CO2. Science of The Total Environment, 949 (2024), 174810. 

3. Zhao, Y., Bakian-Dogaheh, L., Whitcomb, J., Chen, R.H., Yi, Y., Kimball, J.S., Moghaddam, M.: Integrating multi-source remote sensing data for mapping boreal forest canopy height and species in interior Alaska in support of radar modeling. Environmental Research Letters, 2024.

4. Liu, L., Yi, Y.*, Jiang, H., Ran, Y., Chen, D.: ERA5-Land overestimates runoff coefficient but underestimates runoff recession rate in the central Tibetan permafrost region. Journal of Hydrology: Regional studies, 53, 101792, 2024.

5. Miller, C. et al (including Yi, Y.): The ABoVE L-band and P-band airborne synthetic aperture radar surveys, Earth Syst. Sci. Data, 16, 2605–2624, 2024.

6. Whitcomb, J., Chen, R., Clewley, D., Kimball, J. S., Pastick, N. J., Yi, Y., & Moghaddam, M.: Maps of active layer thickness in northern Alaska by upscaling P-band polarimetric synthetic aperture radar retrievals. Environmental Research Letters, 19(1), 014046, 2024.

7. Liu, Z., Kimball, J. S., Ballantyne, A., Watts, J. D., Natali, S. M., Rogers, B. M., Yi, Y. et al.: Widespread deepening of the active layer in northern permafrost regions from 2003 to 2020. Environmental Research Letters, 19(1), 014020, 2024.

8. Jiang, H., Yi, Y.*, Xu, J., Chen, D., Lu, F., Li, R., Wang, X., Zhou, B.: Characterizing precipitation uncertainties in a high-altitudinal permafrost watershed of the Tibetan Plateau based on regional water balance and hydrological model simulations. Journal of Hydrology: Regional Studies. 2023.

9. Lu, P., Han, J., Yi, Y., Hao, T., Zhou, F., Meng X., Zhang, Y., Li, R.: InSAR unveils dynamic permafrost disturbances on Tibetan Plateau hinterland. IEEE Trans. Geosci. Remote Sensing, 2023.

10. Yi, Y.*, Bakian-Dogaheh, Moghaddam, M., Mishra, M., Kimball, J.S.: Mapping surface organic soil properties in Arctic tundra using C-band SAR data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2023.

11. Schiferl, L., Arndt, K., Biraud, S., Euskirchen, E.S., Henderson, J., Larson, E., McKain, K., Munger, J.W., Oechel, W., Sweeney, C., Watts, J.D., Yi, Y., Zona, D., and Commane, R.: Using atmospheric observations to quantify annual biogenic carbon dioxide fluxes on the Alaska North Slope. Biogeosciences, 2023.

12. Chang, T., Yi, Y.*, Wen, Y., Lu, P., Zhou, F., Meng, X., et al.: Bias Correction for ERA5-Land Soil Moisture Product Using Variational Mode Decomposition in the Permafrost Region of Qinghai–Tibet Plateau. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 7025–7041, 2022. 

13. Byrne, B., Liu, J., Yi, Y., Chatterjee, A., Basu, S., Cheng, R., Doughty, R., Chevallier, F., Bowman, K. W., Parazoo, N. C., Crisp, D., Li, X., Xiao, J., Sitch, S., Guenet, B., Deng, F., Johnson, M. S., Philip, S., McGuire, P. C., and Miller, C. E.: Multi-year observations reveal a larger than expected autumn respiration signal across northeast Eurasia, Biogeosciences, 2022.

14. Yi, Y.*, Chen, R. H., Kimball, J. S., Moghaddam, M., Xu, X., Euskirchen, E. S., et al.: Potential Satellite Monitoring of Surface Organic Soil Properties in Arctic Tundra From SMAP. Water Resources Research, 58(4), 2022.

15. Bakian-Dogaheh, K., Chen, R. H., Yi, Y., Kimball, J. S., Moghaddam, M., & Tabatabaeenejad, A.: A model to characterize soil moisture and organic matter profiles in the permafrost active layer in support of radar remote sensing in Alaskan Arctic tundra. Environmental Research Letters, 17(2), 025011, 2022.

16. Yi, Y.*, Chen, R.H., Moghaddam M., Kimball J.S., Jones, B.A., Jandt, R., Miller,E. Miller, C.: Sensitivity of multi-frequency polarimetric SAR data to post-fire permafrost changes and recovery processes in Arctic tundra. IEEE Trans. Geosci. Remote Sensing, 2022.

17. Kim, J., Kim, Y., Zona, D., Oechel, Park, S., Lee, B., Yi, Y., Erb, A., Schaaf, C.: Carbon response of tundra ecosystems to advancing greenup and snowmelt in Alaska. Nature Communications, 12(1), 6879, 2021.

18. Yi, Y.*, Kimball, J.S., Watts, J., Natali, S., Zona, D., Liu, J., Ueyama, M., Kobayashi, H., Oechel, W., and Miller, C.E.: Investigating the sensitivity of soil heterotrophic respiration to recent snow cover changes in Alaska using a satellite-based permafrost carbon model. Biogeosciences, 17, 5861-5882, 2020.

19. Jiang, H., Zhang, G., Yi, Y.*, Chen, D., Zhang, W., Yang, K., Miller, C.E.: Progress and challenges in studying regional permafrost in the Tibetan Plateau using satellite remote sensing and models. Frontiers in Earth Science, 8:560403, 2020.

20. Zheng, G., Yang, Y., Yang, D., Dafflon, B., Yi, Y., Zhang, S., Chen, D., Gao, B., Wang, T., Shi, R., and Wu, Q.: Remote sensing spatiotemporal patterns of frozen soil and the environmental controls over the Tibetan Plateau during 2002–2016. Remote Sensing of Environment, 247, 111927, 2020.

21. Jiang, H., Yi, Y.*, Zhang, W., Yang, K., Chen, D.: Investigating the sensitivity of soil freeze/thaw dynamics to environmental conditions at different scales in the Central Tibetan Plateau. Science of the Total Environment, 734, 129261, 2020.

22. Yi, Y.*, Kimball, J.S., Chen, R.H., Moghaddam, M., and Miller, C.E.: Sensitivity of active-layer freezing process to snow cover in Arctic Alaska, The Cryosphere, 13, 197-218, 2019.

23. He, M., Kimball, J.S., Yi, Y., Mu, Q., Running, S.W., Guang, K., Maneta, M.: Satellite data-driven modeling of field scale evapotranspiration in croplands using the MOD16 algorithm framework. Remote Sensing of Environment, 230, 2019.

24. Yi, Y.*, Kimball, J.S., Chen, R., Moghaddam, M., Reichle, R.H., Mishra, U., Zona, D., Oechel, W.: Characterizing permafrost soil active layer dynamics and sensitivity to landscape spatial heterogeneity in Alaska. The Cryosphere, 12, 145-161, 20