Publications

Journal Article (125)

1.
Cohrs, K.-H.; Varando, G.; Carvalhais, N.; Reichstein, M.; Camps-Valls, G.: Causal hybrid modeling with double machine learning - Applications in carbon flux modeling. Machine Learning: Science and Technology 5 (3), 035021 (2024)
2.
Fan, L.; Cui, T.; Wigneron, J.-P.; Ciais, P.; Sitch, S.; Brandt, M.; Li, X.; Niu, S.; Xiao, X.; Chave, J. et al.; Wu, C.; Li, W.; Yuan, W.; Xing, Z.; Li, X.; Wang, M.; Liu, X.; Chen, X.; Qin, Y.; Yang, H.; Tang, Q.; Li, Y.; Ma, M.; Fensholt, R.: Dominant role of the non-forest woody vegetation in the post 2015/16 El Niño tropical carbon recovery. Global Change Biology 30 (7), e17423 (2024)
3.
Li, X.; Huntingford, C.; Wang, K.; Cui, J.; Xu, H.; Kan, F.; Anniwaer, N.; Yang, H.; Peñuelas, J.; Piao, S.: Increased crossing of thermal stress thresholds of vegetation under global warming. Global Change Biology 30 (7), e17406 (2024)
4.
Wang, S.; Yang, H.; Koirala, S.; Forkel, M.; Reichstein, M.; Carvalhais, N.: Understanding disturbance regimes from patterns in modeled forest biomass. Journal of Advances in Modeling Earth Systems 16 (6), e2023MS004099 (2024)
5.
Denissen, J. M. C.; Teuling, A. J.; Koirala, S.; Reichstein, M.; Balsamo, G.; Vogel, M. M.; Yu, X.; Orth, R.: Intensified future heat extremes linked with increasing ecosystem water limitation. Earth System Dynamics 15 (3), pp. 717 - 734 (2024)
6.
Zhan, C.; Orth, R.; Yang, H.; Reichstein, M.; Zaehle, S.; De Kauwe, M. G.; Rammig, A.; Winkler, A.: Estimating the CO2 fertilization effect on extratropical forest productivity from Flux-tower observations. Journal of Geophysical Research: Biogeosciences 129 (6), e2023JG007910 (2024)
7.
Wigneron, J.-P.; Ciais, P.; Li, X.; Brandt, M.; Canadell, J. G.; Tian, F.; Wang, H.; Bastos, A.; Fan, L.; Gatica, G. et al.; Kashyap, R.; Liu, X.; Sitch, S.; Tao, S.; Xiao, X.; Yang, H.; Villar, J. C. E.; Frappart, F.; Li, W.; Qin, Y.; Truchis, A. D.; Fensholt, R.: Global carbon balance of the forest: satellite-based L-VOD results over the last decade. Frontiers in Remote Sensing 5, 1338618 (2024)
8.
Wang, T.; Zhang, Y.; Yue, C.; Wang, Y.; Wang, X.; Lyu, G.; Wei, J.; Yang, H.; Piao, S.: Progress and challenges in remotely sensed terrestrial carbon fluxes. Geo-spatial Information Science (2024)
9.
Qi, W.; Hu, X.; Bai, H.; Yusup, A.; Ran, Q.; Yang, H.; Wang, H.; Ao, Z.; Tao, S.: Decreased river runoff on the Mongolian Plateau since around 2000. Landscape Ecology 39, 79 (2024)
10.
Yang, H.; Wang, S.; Son, R.; Lee, H. T.; Benson, V.; Zhang, W.; Zhang, Y.; Zhang, Y.; Kattge, J.; Boenisch, G. et al.; Schepaschenko, D.; Karaszewski, Z.; Stereńczak, K.; Moreno-Martínez, Á.; Nabais, C.; Birnbaum, P.; Vieilledent, G.; Weber, U.; Carvalhais, N.: Global patterns of tree wood density. Global Change Biology 30 (3), e17224 (2024)
11.
Tao, F.; Houlton, B. Z.; Frey, S. D.; Lehmann, J.; Manzoni, S.; Huang, Y.; Jiang, L.; Mishra, U.; Hungate, B. A.; Schmidt, M. W. I. et al.; Reichstein, M.; Carvalhais, N.; Ciais, P.; Wang, Y.-P.; Ahrens, B.; Hugelius, G.; Hocking, T. D.; Lu, X.; Shi, Z.; Viatkin, K.; Vargas, R.; Yigini, Y.; Omuto, C.; Malik, A. A.; Peralta, G.; Cuevas-Corona, R.; Paolo, L. E. D.; Luotto, I.; Liao, C.; Liang, Y.-S.; Saynes, V. S.; Huang, X.; Luo, Y.: Reply to: Model uncertainty obscures major driver of soil carbon. Nature 627, pp. E4 - E6 (2024)
12.
Son, R.; Stacke, T.; Gayler, V.; Nabel, J. E. M. S.; Schnur, R.; Silva, L. A.; Requena Mesa, C.; Winkler, A.; Hantson, S.; Zaehle, S. et al.; Weber, U.; Carvalhais, N.: Integration of a deep-learning-based fire model into a global land surface model. Journal of Advances in Modeling Earth Systems 16 (1), e2023MS003710 (2024)
13.
Xiao, C.; Zaehle, S.; Yang, H.; Wigneron, J.-P.; Schmullius, C.; Bastos, A.: Land cover and management effects on ecosystem resistance to drought stress. Earth System Dynamics 14 (6), pp. 1211 - 1237 (2023)
14.
Ruiz-Vásquez, M.; O, S.; Arduini, G.; Boussetta, S.; Brenning, A.; Bastos, A.; Koirala, S.; Balsamo, G.; Reichstein, M.; Orth, R.: Impact of updating vegetation information on land surface model performance. Journal of Geophysical Research: Atmospheres 128 (121), e2023JD039076 (2023)
15.
Yang, H.; Ciais, P.; Frappart, F.; Li, X.; Brandt, M.; Fensholt, R.; Fan, L.; Saatchi, S.; Besnard, S.; Deng, Z. et al.; Bowring, S.; Wigneron, J.-P.: Global increase in biomass carbon stock dominated by growth of northern young forests over past decade. Nature Geoscience 16, pp. 886 - 892 (2023)
16.
Fan, N.; Santoro, M.; Besnard, S.; Cartus, O.; Koirala, S.; Carvalhais, N.: Implications of the steady-state assumption for the global vegetation carbon turnover. Environmental Research Letters 18 (10), 104036 (2023)
17.
Son, R.; Stratoulias, D.; Kim, H. C.; Yoon, J.-H.: Estimation of surface PM2.5 concentrations from atmospheric gas species retrieved from Tropomi using deep learning: Impacts of fire on air pollution over Thailand. Atmospheric Pollution Research 14 (10), 101875 (2023)
18.
Trautmann, T.; Koirala, S.; Guentner, A.; Kim, H.; Jung, M.: Calibrating global hydrological models with GRACE TWS: does river storage matter? Environmental Research Communications 5 (8), 081005 (2023)
19.
Bao, S.; Alonso, L.; Wang, S.; Gensheimer, J.; De, R.; Carvalhais, N.: Toward robust parameterizations in ecosystem‐level photosynthesis models. Journal of Advances in Modeling Earth Systems 15 (8), e2022MS003464 (2023)
20.
Chen, M.; Qian, Z.; Boers, N.; Jakeman, A. J.; Kettner, A. J.; Brandt, M.; Kwan, M.-P.; Batty, M.; Li, W.; Zhu, R. et al.; Luo, W.; Ames, D. P.; Barton, C. M.; Cuddy, S. M.; Koirala, S.; Zhang, F.; Ratti, C.; Liu, J.; Zhong, T.; Liu, J.; Wen, Y.; Yue, S.; Zhu, Z.; Zhang, Z.; Sun, Z.; Lin, J.; Ma, Z.; He, Y.; Xu, K.; Zhang, C.; Lin, H.; Lü, G.: Iterative integration of deep learning in hybrid Earth surface system modelling. Nature Reviews Earth & Environment 4, pp. 568 - 581 (2023)
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