(Sun lab graduate students*, postdocs+, corresponding author)

Under Review

36. Joiner, J., Y. Yoshida, P. Köhler, C. Frankenberg, P.K. Campbell, N.C. Parazoo, C. van der Tol, L. Guanter, and Sun, Y. (2020), A data driven approach towards addressing systematic orbital geometry- and cloud-dependent variations in satellite solar-induced fluorescence (SIF) retrievals

35. Peng, B., K. Guan, W. Zhou, C. Jiang, L. He, C. Frankenberg, Sun, Y., P. Köhler (2020), Assessing the benefit of satellite-based Solar-Induced Chlorophyll Fluorescence in crop yield prediction

34. *Fan, Y., *Wen, J., +O. Kira, A.J. McDonald, C.B. Barrett, A. Ortiz-Bobea, Y. Liu, L. You, Z. Qiu, *C. Wang, and Sun, Y. (2020), Chlorophyll Fluorescence Improves Satellite-Based Crop Yield Estimation in Diverse Agricultural Landscapes

33. He, L., C. Frankenberg, J. D. Wood, Sun, Y., P. Köhler, T.S. Magney, D. Dutta, Y. Zhang (2020), Satellite solar-induced fluorescence tracks seasonal and interannual variability in photosynthetic downregulation in response to water stress at a temperate deciduous forest  


32. +Chang, C.Y., *R. Zhou, +O. Kira, S. Marri, J. Skovira, L. Gu, and Sun, Y. (2020), An Unmanned Aerial System (UAS) for concurrent measurements of solar-induced chlorophyll fluorescence and hyperspectral reflectance toward improving crop monitoring, Agr. For. Meteorol. Accepted.

31. +Chang, C.Y., L. Guanter, C. Frankenberg, P. Köhler, L. Gu, T.S. Magney, K. Grossmann, and Sun, Y. (2020), Systematic assessment of retrieval methods for ground solar-induced chlorophyll fluorescence (SIF) using high-frequency automated field spectroscopy, JGR Biogeosciences.

30. +Kira, O., and Sun, Y.  (2020), Extraction of sub-pixel C3/C4 emissions of solar-induced chlorophyll fluorescence (SIF) using artificial neural network, ISPRS J PHOTOGRAMM.


29. *Wen, J., P. Köhler, G. Duveiller, N.C. Parazoo, *L. Yu, +C.Y. Chang, and Sun, Y. (2020), A Framework for Harmonizing Multiple Satellite Instruments to Generate a Long-Term Global High Spatial-Resolution Solar-Induced Chlorophyll Fluorescence (SIF), Remote Sens. Environ.



28. Knauer, J., S. Zaehle, M. De Kauwe, V. Haverd, M. Reichstein, Sun, Y. (2019), Mesophyll conductance in land surface models: effects on photosynthesis and transpiration, The Plant Journal.

27. Parazoo, N., C. Frankenberg, P. Köhler, J. Joiner, Y. Yoshida, T. Magney, Sun, Y., V. Yadav, (2019), Towards a harmonized long-term spaceborne record of far-red solar-induced fluorescence, J. Geophys. Res.

26. Gonsamoa, A., J.M. Chen, L.He, C.Rogers, J. Liu, Sun, Y., Dara Entekhabi (2019), Exploring SMAP and OCO-2 observations to monitor soil moisture control on photosynthetic activity of global drylands and croplands, Remote Sens. Environ.

25. Peng, Y., O. Kira, A. Gitelson, A. Nguy-Robertson, T. Arkebauer, Sun, Y., A. Suyker (2019), Gross Primary Production Estimation in Crops Using Solely Remotely Sensed Data, Agronomy Journal. doi:10.2134/agronj2019.05.0332

24. Magney, T.S., C. Frankenberg, P. Köhler, G. North, T.S. Davis, C. Dold, D. Dutta, J. B. Fisher, K. Grossmann, A. Harrington, J. Hatfield, J. Stutz, Sun, Y., A. Porcar-Castell (2019), Disentangling changes in the spectral shape of chlorophyll fluorescence: Implications for remote sensing of photosynthesis, J. Geophys. Res. doi: 10.1029/2019JG005029

23. *Wang, C., J. Beringer, L.B. Hutley, J. Cleverly, J. Li, Q. Liu, Sun, Y. (2019), Phenology Dynamics of Dryland Ecosystems Along North Australian Tropical Transect (NATT) Revealed by Satellite Solar-Induced Chlorophyll Fluorescence (SIF), Geophys. Res. Lett. doi: 10.1029/2019GL082716

22. Gu, L., J. Han, J.D. Wood, +C.Y. Chang, Sun, Y. (2019), Sun-Induced Chlorophyll Fluorescence and its importance for modeling photosynthesis from the side of light reactions, New Phytologist. doi: 10.1111/nph.15796

21. Dutta, D., D.S. Schimel, Sun, Y., C. van der Tol, C. Frankenberg (2019), Optimal Inverse Estimation of Ecosystem Parameters from Observations of Carbon and Energy Fluxes (2019), Biogeoscences.

20. *Yu, L., *J. Wen, +C.Y. Chang, C. Frankenberg, Sun, Y.  (2019), High Resolution Global Contiguous Solar-Induced Chlorophyll Fluorescence (SIF) of Orbiting Carbon Observatory-2 (OCO-2), Geophys. Res. Lett.



19. Liu, J., K.W. Bowman, D. Schimel, N. C. Parazoo, Z. Jiang, M. Lee, A. A. Bloom, D. Wunch, C. Frankenberg, Sun, Y., C. W. O’Dell, K. R. Gurney, D. Menemenlis, M. Girerach, D. Crisp, and A. Eldering (2018), Response to Comment on “Contrasting carbon cycle responses of the tropical continents to the 2015-2016 El Nino”, Science, doi: 10.1126/science.aat1211

18. Gu, L., J.D. Wood, +C.Y. Chang, Sun, Y. (2018), Advancing Terrestrial Ecosystem Science with a Novel Automated Measurement System for Sun-Induced Chlorophyll Fluorescence for Integration with Eddy Covariance Flux Networks, J. Geophys. Res.

17. Sun, Y., C. Frankenberg, M. Jung, J. Joiner, L. Guanter, P. Köhler, T. Magney (2018), Overview of Solar-induced chlorophyll fluorescence from the Orbiting Carbon Observatory-2: Retrieval, cross-mission comparison, and global monitoring for GPP, Remote Sens. Environ.,

16. Zhang, Y., X. Xiao, Y. Zhang, S. Wolf, S. Zhou, U. Joiner, L. Guanter, M. Verma, Sun, Y., X. Yang, E. Paul-Limoges, C. Gough, G. Wohlfahrt, B. Gioli, C. van der Tol, N. Yann, M. Lund, A. Grandcourt (2018), On the relationship between sub-daily instantaneous and daily total gross primary production: Implications for interpreting satellite-based SIF retrievals. Remote Sens.



15. Sun, Y., C. Frankenberg, J. W. Wood, D. S. Schimel, M. Jung, L. Guanter, D.T. Drewry, M. Verma, A. Porcar-Castell, T. J. Griffs, L. Gu, T. S. Magney, P. Köhler, B. Evans, K. Yuen (2017), OCO-2 advances photosynthesis observation from space via solar-induced chlorophyll fluorescence, Science, doi: 10.1126/science.aam5747

14. Liu, J., K.W. Bowman, D. Schimel, N. C. Parazoo, Z. Jiang, M. Lee, A. A. Bloom, D. Wunch, C. Frankenberg, Sun, Y., C. W. O’Dell, K. R. Gurney, D. Menemenlis, M. Girerach, D. Crisp, and A. Eldering (2017), Contrasting carbon cycle responses of the tropical continents to the 2015-2016 El Nino, Science, doi: 10.1126/science.aam5690

13. Eldering, A., P.O., Wennberg, D. Crisp, D. S. Schimel, M. R. Gunson, A. Chatterjee, J. Liu, F. M., Schwandner, Sun, Y., C. W. D’Dell, C. Frankenberg, T. Taylor, B. Fisher, G. B. Osterman, D. Wunch, J. Hakkarainen, J. Tamminen, B. Weir (2017), The Orbiting Carbon Observatory-2 early science investigations of regional carbon dioxide fluxes, Science, doi: 10.1126/science.aam5745

12. Wright, J. S., R. Fu, J. Worden, S. Chakraborty, N. Clinton, Camille Risi, Sun, Y., and L. Yin (2017), A Wright, J. S., R. Fu, J. Worden, S. Chakraborty, N. Clinton, Camille Risi, Y. Sun, and L. Yin (2017), A rainforest-initiated wet season onset over the southern Amazon, Proc. Natl. Acad. Sci. U. S. Adoi: 10.1073/pnas.1621516114.

11. Keeling, R.F., H.D. Graven, L. R. Welp, L. Resplandy, J. Bi, S.C. Piper, Sun, Y., A. Bollenbacher, and H.A.J.Meijer (2017), Atmospheric evidence for a global secular increase in carbon isotopic discrimination of land photosynthesis, Proc. Natl. Acad. Sci. U. S. A,

10. Magney, T.S., C. Frankenberg, J.B. Fisher, Sun, Y., G.B. North, T.S. Davis, and A. Kornfeld (2017), Connecting active to passive fluorescence with photosynthesis: a method for evaluating remote sensing measurements of chlorophyll fluorescence, New Phytologist. doi: 10.1111/nph.14662


Prior to Cornell

9. Sun, Y., R. Fu, R. E. Dickinson, J. Joiner, C. Frankenberg, L. Gu, Y. Xia, and N. Fernando (2015), Drought onset mechanisms revealed by satellite solar-induced chlorophyll fluorescence: Insights from two contrasting extreme events, J. Geophys. Res. doi: 10.1002/2015JG003150 (featured as a Research Spotlight on EOS)

8. Gu, L., S. G. Pallardy, H. Kevin, and Sun, Y. (2015), Impacts of precipitation variability on plant species and community water stress in a temperate deciduous forest in the central US, Agric. For. Meteorol.

7. Gu, L., S. G. Pallardy, K. P. Hosman, and Sun, Y. (2015), Drought-influenced mortality of tree species with different predawn leaf water dynamics in a decade-long study of a central US forest, Biogeosciences,, 2015

6. Sun, Y., L. Gu, R. E. Dickinson, R. J. Norby, S. G. Pallardy, and F. M. Hoffman (2014), Impact of mesophyll diffusion on estimated global land CO2 fertilization, Proc. Natl. Acad. Sci. U. S. A.,

5. Sun, Y. et al. (2014), Asymmetrical effects of mesophyll conductance on fundamental photosynthetic parameters and their relationships estimated from leaf gas exchange measurements, Plant. Cell (featured on journal cover)

4. Gu, L., and Sun, Y. (2014), Artefactual responses of mesophyll conductance to CO2 and irradiance estimated with the variable J and online isotope discrimination methods., Plant. Cell

3. Oleson, K. et al. (2013), Technical Description of version 4.5 of the Community Land Model (CLM), NCAR/TN–503+STR. Link

2. Sun, Y., L. Gu, and R. E. Dickinson (2012), A numerical issue in calculating the coupled carbon and water fluxes in a climate model, J. Geophys.

1. Sun, Y., L. Gu, R. E. Dickinson, and B. Zhou (2012), Forest greenness after the massive 2008 Chinese ice storm: integrated effects of natural processes and human intervention, Environ. Res. Lett., 7(3), 035702,


Conference Proceedings

C2. *Tang, B., Sun, Y., Y. Liu, D. S. Matteson (2018), Dynamic Poverty Prediction with Vegetation Index, NIPS 2018 Workshop Spatiotemporal,

C1. Sun, Y., L. Hu, H. Liu (2007), A GIS-based approach for comparative analysis of potential fire risk assessment, Geoinformatics 2007: Geospatial Information Technology and Application,