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Trumbore, S. E.; Barros, A. P.; Becker, T. W.; Davidson, E. A.; Ehlmann, B. L.; Gruber, N.; Hofmann, E. E.; Hudson, M. K.; Illangasekare, T. H.; Kang, S. et al.; Montanari, A.; Nimmo, F.; Parsons, T.; Salters, V. J. M.; Schimel, D.; Stevens, B.; Wuebbles, D. J.; Zeitler, P.; Zhu, T.: Thank you to our 2021 peer reviewers, AGU Advances 3, (2022)

Trumbore, S. E.; Barros, A. P.; Becker, T. W.; Davidson, E. A.; Ehlmann, B. L.; Gruber, N.; Hofmann, E.; Hudson, M. K.; Illangasekare, T. H.; Kang, S. et al.; Malanotte-Rizzoli, P.; Montanari, A.; Nimmo, F.; Parsons, T.; Salters, V. J. M.; Schimel, D.; Stevens, B.; Wuebbles, D. J.; Zeitler, P.; Zhu, T.: Thank you to our 2020 peer reviewers, AGU Advances 2, (2021)

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Chanca, I.; Levin, I.; Trumbore, S. E.; Macario, K.; Lavrič, J. V.; Quesada, C. A.; de Araújo, A. C.; Júnior, C. Q. D.; van Asperen, H.; Hammer, S. et al.; Sierra, C.: How long does carbon stay in a near-pristine central Amazon forest? An empirical estimate with radiocarbon. (2024)

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Reichstein, M.; Benson, V.; Camps-Valls, G.; Boran, H.; Fearnley, C.; Kornhuber, K.; Rahaman, N.; Schöllkopf, B.; Tárraga, J. M.; Vinuesa, R. et al.; Blunk, J.; Dall, K.; Denzler, J.; Frank, D.; Martini, G.; Nganga, N.; Robinson, D. M.: Early warning of complex climate risk with integrated artificial intelligence. (2024)

Ying, Q.; Poulter, B.; Watts, J. D.; Arndt, K. A.; Virkkala, A.-M.; Bruhwiler, L.; Oh, Y.; Rogers, B. M.; Natali, S. M.; Sullivan, H. et al.; Schiferl, L. D.; Elder, C.; Peltola, O.; Bartsch, A.; Armstrong, A.; Desai, A. R.; Euskirchen, E.; Göckede, M.; Lehner, B.; Nilsson, M. B.; Peichl, M.; Sonnentag, O.; Tuittila, E.-S.; Sachs, T.; Kalhori, A.; Ueyama, M.; Zhang, a. Z.: WetCH₄: A machine learning-based upscaling of methane fluxes of northern wetlands during 2016–2022. (2024)

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