Publications
For the code I wrote for the 1st-authored and some co-authorred publications, please refer to this GitHub repository
Journal Papers
In Press
2024
Y. Yao, P. Ciais, E. Joetzjer, W. Li, L. Zhu, Y. Wang, C. Frankenberg, and N. Viovy (2024). The impacts of elevated CO₂ on forest growth, mortality, and recovery in the Amazon rainforest. Earth System Dynamics 15(3): 763-778. DOI PDF
Y. Wang, R. K. Braghiere, Y. Yin, Y. Yao, D. Hao, and C. Frankenberg (2024). Beyond the visible: Accounting for ultraviolet and far‐red radiation in vegetation productivity and surface energy budgets. Global Change Biology 30(5): e17346. DOI PDF
Y. Wang, and C. Frankenberg (2024). Toward more accurate modeling of canopy radiative transfer and leaf electron transport in land surface modeling. Journal of Advances in Modeling Earth Systems 16(4): e2023MS003992. DOI PDF
K. Liu, Y. Wang, T. Magney, and C. Frankenberg (2024). Non-steady-state stomatal conductance modeling and its implications: from leaf to ecosystem. Biogeosciences 21(6): 1501–1516. DOI PDF
Y. Yao, V. Humphrey, A. G. Konings, Y. Wang, Y. Yin, N. Holtzman, J. D. Wood, Y. Bar-On, and C. Frankenberg (2024). Investigating diurnal and seasonal cycles of vegetation optical depth retrieved from GNSS signals in a broadleaf forest. Geophysical Research Letters 51(6): e2023GL107121. DOI PDF
2023
N. Holtzman, Y. Wang, J. D. Wood, C. Frankenberg, and A. G. Konings (2023). Constraining plant hydraulics with microwave radiometry in a land surface model: Impacts of temporal resolution. Water Resources Research 59(11): e2023WR035481. DOI PDF
Y. Wang, and Y. Yin (2023). Agriculture in silico: Perspectives on radiative transfer optimization using vegetation modeling. Crop and Environment 2(4): 175-183. DOI PDF
R. K. Braghiere, Y. Wang, A. Gagné-Landmann, P. G. Brodrick, A. A. Bloom, A. J. Norton, S. Ma, P. Levine, M. Longo, K. Deck, P. Gentine, J. R. Worden, C. Frankenberg, and T. Schneider (2023). The importance of hyperspectral soil albedo information for improving Earth system model projections. AGU Advances 4(4): e2023AV000910. DOI PDF
X. Liang, D. Wang, Q. Ye, J. Zhang, M. Liu, H. Liu, K. Yu, Y. Wang, E. Hou, B. Zhong, L. Xu, T. Lv, S. Peng, H. Lu, P. Sicard, A. Anav, and D. S. Ellsworth (2023). Stomatal responses of terrestrial plants to global change. Nature Communications 14(1): 2188. DOI
Y. Wang, R. K. Braghiere, M. Longo, A. J. Norton, P. Köhler, R. Doughty, Y. Yin, A. A. Bloom, and C. Frankenberg (2023). Modeling global vegetation gross primary productivity, transpiration and hyperspectral canopy radiative transfer simultaneously using a next generation land surface model—CliMA Land. Journal of Advances in Modeling Earth Systems 15(3): e2021MS002964. DOI PDF
2022
Y. Wang, and C. Frankenberg (2022). Technical note: Common ambiguities in plant hydraulics. Biogeosciences 19(19): 4705-4714. DOI PDF
Y. Wang, P. Köhler, R. K. Braghiere, M. Longo, R. Doughty, A. A. Bloom, and C. Frankenberg (2022). GriddingMachine, a database and software for Earth system modeling at global and regional scales. Scientific Data 9: 258. DOI PDF
R. Doughty, T. Kurosu, N. Parazoo, P. Köhler, Y. Wang, Y. Sun, and C. Frankenberg (2022). Global GOSAT, OCO-2 and OCO-3 solar induced chlorophyll fluorescence datasets. Earth System Science Data 14(4): 1513-1529. DOI PDF
Y. Wang, and C. Frankenberg (2022). On the impact of canopy model complexity on simulated carbon, water, and solar-induced chlorophyll fluorescence fluxes. Biogeosciences 19(1): 29-45. DOI PDF
2021
Y. Wang, P. Köhler, L. He, R. K. Braghiere, R. Doughty, J. Wood, and C. Frankenberg (2021). Testing stomatal models at the stand level in deciduous angiosperm and evergreen gymnosperm forests using CliMA Land (v0.1). Geoscientific Model Development 14(11): 6741-6763. DOI PDF
A. G. Konings, S. S. Saatchi, C. Frankenberg, M. Keller, V. Leshyk, W. R. L. Anderegg, V. Humphrey, A. M. Matheny, A. Trugman, L. Sack, E. Agee, M. L. Barnes, O. Binks, K. Cawse-Nicholson, B. O. Christoffersen, D. Entekhabi, P. Gentine, N. M. Holtzman, G. G. Katul, Y. Liu, M. Longo, J. Martinez-Vilalta, N. McDowell, P. Meir, M. Mencuccini, A. Mrad, K. A. Novick, R. S. Oliveira, P. Siqueira, S. C. Steele-Dunne, D. R. Thompson, Y. Wang, R. Wehr, J. D. Wood, X. Xu, and P. A. Zuidema (2021). Detecting forest response to droughts with global observations of vegetation water content. Global Change Biology 27(23): 6005-6024. DOI PDF
P. Köhler, W. W. Fischer, G. R. Rossman, J. P. Grotzinger, R. Doughty, Y. Wang, Y. Yin, and C. Frankenberg (2021). Mineral luminescence observed from space. Geophysical Research Letters 48(19): e2021GL095227. DOI PDF
R. K. Braghiere, Y. Wang, R. Doughty, D. Souza, T. Magney, J. Widlowski, M. Longo, A. Bloom, J. Worden, P. Gentine, and C. Frankenberg (2021). Accounting for canopy structure improves hyperspectral radiative transfer and sun-induced chlorophyll fluorescence representations in a new generation Earth System model. Remote Sensing of Environment 261: 112497. DOI PDF
A. Potkay, A. T. Trugman, Y. Wang, M. D. Venturas, W. R. L. Anderegg, C. Mattos, and Y. Fan (2021). Coupled whole-tree optimality and xylem-hydraulics explain dynamic biomass partitioning. New Phytologist 230(6): 2226-2245. DOI PDF
Y. Wang, W. R. L. Anderegg, M. D. Venturas, A. T. Trugman, K. Yu, and C. Frankenberg (2021). Optimization theory explains nighttime stomatal responses. New Phytologist 230(4): 1550-1561. DOI PDF
2020
2019
J. S. Sperry, M. D. Venturas, H. N. Todd, A. T. Trugman, W. R. L. Anderegg, Y. Wang, and X. Tai (2019). The impact of rising CO₂ and acclimation on theresponse of US forests to global warming. Proceedings of the National Academy of Sciences of the United States of America 116(51): 25734–25744. DOI PDF
A. T. Trugman, L. D. L. Anderegg, J. S. Sperry, Y. Wang, M. D. Venturas, and W. R. L. Anderegg (2019). Leveraging plant hydraulics to yield predictive and dynamic plant leaf allocation in vegetation models with climate change. Global Change Biology 25: 4008–4021. DOI PDF
Y. Wang, J. S. Sperry, M. D. Venturas, A. T. Trugman, D. D. Love, and W. R. L. Anderegg (2019). The stomatal response to rising CO₂ concentration and drought is predicted by a hydraulic trait-based optimization model. Tree Physiology 39(8): 1416–1427. DOI PDF
K. Yu, G. R. Goldsmith, Y. Wang, and W. R. L. Anderegg (2019). Phylogenetic and biogeographic controls of plant nighttime stomatal conductance. New Phytologist 222(4): 1778–1788. DOI PDF
G. Du, F. Feng, Y. Wang, and M. T. Tyree (2019). Do nano-particles cause recalcitrant vulnerability curves in Robinia? Testing with a four-cuvette Cochard rotor and with water extraction curves. Tree Physiology 39(1): 156–165. DOI PDF
D. M. Love, M. D. Venturas, J. S. Sperry, P. D. Brooks, J. L. Pettit, Y. Wang, and W. R. L. Anderegg (2019). Dependence of aspen stands on a subsurface water subsidy: Implications for climate change impacts. Water Resource Research 55(3): 1833–1848. DOI PDF
2018
2017
2016
2015
Y. Wang, J. Liu, and M. T. Tyree (2015). Stem hydraulic conductivity depends on the pressure at which it is measured and how this dependence can be used to assess the tempo of bubble pressurization in recently cavitated vessels. Plant Physiology 169(4): 2597–2607. DOI PDF
Y. Wang, R. Pan, and M. T. Tyree (2015). Studies on the tempo of bubble formation in recently cavitated vessels: A model to predict the pressure of air bubbles. Plant Physiology 168(2): 521–531. DOI PDF