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Preprint (43)

261.
Preprint
Knorr, W.; Williams, M.; Thum, T.; Kaminski, T.; Voßbeck, M.; Scholze, M.; Quaife, T.; Smallmann, L.; Steele-Dunne, S.; Vreugdenhil, M. et al.; Green, T.; Zaehle, S.; Aurela, M.; Bouvet, A.; Bueechi, E.; Dorigo, W.; El-Madany, T. S.; Migliavacca, M.; Honkanen, M.; Kerr, Y.; Kontu, A.; Lemmetyinen, J.; Lindqvist, H.; Mialon, A.; Miinalainen, T.; Pique, G.; Ojasalo, A.; Quegan, S.; Rayner, P.; Reyes-Muñoz, P.; Rodríguez-Fernández, N.; Schwank, M.; Verrelst, J.; Zhu, S.; Schüttemeyer, D.; Drusch, M.: A comprehensive land surface vegetation model for multi-stream data assimilation, D&B v1.0. EGUsphere (2024)
262.
Preprint
Kretz, L.; Schnabel, F.; Richter, R.; Raabgrund, A.; Kattge, J.; Andraczek, K.; Kahl, A.; Kuenne, T.; Wirth, C.: Functional traits explain growth resistance to successive hotter droughts across a wide set of common and future tree species in Europe. bioRxiv: the preprint server for biology (2024)
263.
Preprint
Ivanova, K.; Virkkala, A.-M.; Göckede, M.: Towards improved Arctic wetland classification: a clustering analysis of wetland carbon flux and environmental data. ESS Open Archive (2024)
264.
Preprint
Kozlova, E.; Manning, A.; Keeling, R.; Heimann, M.; Tohjima, Y.; Zaehle, S.; Watson, A.: Rapid rise in the global ocean carbon sink determined from atmospheric oxygen observations. Research Square (2024)
265.
Preprint
Zimnoch, M.; Galkowski, M.; Sekula, P.; Chmura, Ł.; Bartyzel, J.; Jasek-Kaminska, A.; Skiba, A.; Necki, J.; Wachniew, P.; Jagoda, P.: Measurement report: Temporal variability of vertical profiles of CO2 and CH4 over urban environment. EGUsphere (2024)
266.
Preprint
Bao, S.; Carvalhais, N.; Xu, J.; Chen, J.; Lei, Y.; Tana, G.; Lin, C.; Shi, J.: Global distribution pattern in characteristics of gross primary productivity response to soil water availability. SSRN Research Paper Series (2024)
267.
Preprint
Han, B.; Zhang, S.; Shi, X.; Reichstein, M.: Bridging remote sensors with multisensor geospatial foundation models. arXiv (2024)
268.
Preprint
Kleidon, A.: Droughts in Germany - Why global climate change amplifies hydrological extremes. arXiv (2024)
269.
Preprint
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. Earth System Science Data Discussions (2024)
270.
Preprint
Sanaei, A.; van der Plas, F.; Chen, H.; Davids, S.; Eckhardt, S.; Hennecke, J.; Kahl, A.; Möller, Y.; Richter, R.; Schütze, J. et al.; Wirth, C.; Weigelt, A.: Tree growth is better explained by absorptive fine roots than transport fine roots. bioRxiv: the preprint server for biology (2024)
271.
Preprint
Vamsi, K. K.; Kommineni, V. K.; Samuel, S.: From human experts to machines: An LLM supported approach to ontology and knowledge graph construction. arXiv (2024)
272.
Preprint
Reimers, C.; Hafezi Rachti, D.; Liu, G.; Winkler, A.: Comparing data-driven and mechanistic models for predicting phenology in deciduous broadleaf forests. arXiv (2024)
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