Scientific Publications

Poehls, J.; Alonso, L.; Koirala, S.; Carvalhais, N.; Reichstein, M.: Downscaling soil moisture to sub-km resolutions with simple machine learning ensembles. Journal of Hydrology 652, 132624 (2025)

Qin, X.; Tian, H.; Canadell, J. G.; Shi, Y.; Pan, S.; Bastos, A.; Ciais, P.; Crippa, M.; Pan, N.; Patra, P. K. et al.; Poulter, B.; Saunois, M.; Sitch, S.: Greenhouse gas budgets of Central and West Asia (2000– 2020): A significant net source to the atmosphere. Global Biogeochemical Cycles 39 (3), e2024GB008370 (2025)

Camps-Valls, G.; Fernández-Torres, M.-Á.; Cohrs, K.-H.; Höhl, A.; Castelletti, A.; Pacal, A.; Robin, C.; Martinuzzi, F.; Papoutsis, I.; Prapas, I. et al.; Pérez-Aracil, J.; Weigel, K.; Gonzalez-Calabuig, M.; Reichstein, M.; Rabel, M.; Giuliani, M.; Mahecha, M. D.; Popescu, O.-I.; Pellicer-Valero, O. J.; Ouala, S.; Salcedo-Sanz, S.; Sippel, S.; Kondylatos, S.; Happé, T.; Williams, T.: Artificial intelligence for modeling and understanding extreme weather and climate events. Nature Communications 16, 1919 (2025)

Chang, Y.; Winkler, A.; Noori, A.; Knyazikhin, Y.; Myneni, R.: Precipitation leads the long-term vegetation increase in the conterminous United States drylands. Environmental Research Letters (accepted)

Benson, V.; Bastos, A.; Reimers, C.; Winkler, A.; Yang, F.; Reichstein, M.: Atmospheric transport modeling of CO₂ with neural networks. Journal of Advances in Modeling Earth Systems 17 (2), e2024MS004655 (2025)

Metz, E.-M.; Vardag, S. N.; Basu, S.; Jung, M.; Butz, A.: Seasonal and interannual variability in CO₂ fluxes in southern Africa seen by GOSAT. Biogeosciences 22 (2), pp. 555 - 584 (2025)

Neigh, C. S. R.; Montesano, P. M.; Sexton, J. O.; Wooten, M.; Wagner, W.; Feng, M.; Carvalhais, N.; Calle, L.; Carroll, M. L.: Russian forests show strong potential for young forest growth. Communications Earth & Environment 6, 71 (2025)

Zhao, L.; Wu, J.; Yang, Q.; Zhao, H.; Mao, J.; Yu, Z.; Liu, Y.; Gobin, A.: Quantifying evapotranspiration and environmental factors in the abandoned saline farmland using landsat archives. Land 14 (2), 283 (2025)

Agathangelidis, I.; Blougouras, G.; Cartalis, C.; Polydoros, A.; Tzanis, C. G.; Philippopoulos, K.: Global climatology of the daytime surface cooling of urban parks using satellite observations. Geophysical Research Letters 52 (2), e2024GL112887 (2025)

Ji, C.; Fincke, T.; Benson, V.; Camps-Valls, G.; Fernández-Torres, M.-Á.; Gans, F.; Kraemer, G.; Martinuzzi, F.; Montero, D.; Mora, K. et al.; Pellicer-Valero, O. J.; Robin, C.; Söchting, M.; Weynants, M.; Mahecha, M. D.: DeepExtremeCubes: Earth system spatio-temporal data for assessing compound heatwave and drought impacts. Scientific Data 12, 149 (2025)

Li, W.; Migliavacca, M.; Miralles, D. G.; Reichstein, M.; Anderegg, W. R. L.; Yang, H.; Orth, R.: Disentangling effects of vegetation structure and physiology on land-atmosphere coupling. Global Change Biology 31 (1), e70035 (2025)

Bright, R. M.; Caporaso, L.; Duveiller, G.; Piccardo, M.; Cescatti, A.: Biogeophysical radiative forcings of large-scale afforestation in Europe are highly localized and dominated by surface albedo change. Geophysical Research Letters 52 (1), e2024GL112739 (2025)

Dunkl, I.; Bastos, A.; Ilyina, T.: Compensatory effects conceal large uncertainties in the modelled processes behind the relationship between the El Niño–Southern Oscillation (ENSO) and CO₂. Earth System Dynamics 16 (1), pp. 151 - 167 (2025)

Chen, S.; Huang, J.; Huang, J.; Wang, P.; Sun, C.; Zhang, Z.; Jiang, S.: Explainable deep learning identifies patterns and drivers of freshwater harmful algal blooms. Environmental Science and Ecotechnology 23, 100522 (2025)

Björn, L.; Leshchinskiy, B.; Boulais, O.; Chishtie, F.; Díaz-Rodríguez, N.; Masson-Forsythe, M.; Mata-Payerro, A.; Requena Mesa, C.; Sankaranarayanan, A.; Piña, A. et al.; Gal, Y.; Raïssi, C.; Lavin, A.; Newman, D.: Generating physically-consistent satellite imagery for climate visualizations. IEEE Transactions on Geoscience and Remote Sensing 62, 4213311 (2024)

Ermitão, T.; Gouveia, C. M.; Bastos, A.; Russo, A. C.: Recovery following recurrent fires across mediterranean ecosystems. Global Change Biology 30 (12), e70013 (2024)

Ke, P.; Ciais, P.; Sitch, S.; Li, W.; Bastos, A.; Liu, Z.; Xu, Y.; Gui, X.; Bian, J.; Goll, D. S. et al.; Xi, Y.; Li, W.; O’Sullivan, M.; de Souza, J. G.; Friedlingstein, P.; Chevallier, F.: Low latency carbon budget analysis reveals a large decline of the land carbon sink in 2023. National Science Review 11 (12), nwae367 (2024)

Meng, N.; Wang, N.; Zhao, L.; Lv, H.; Chen, X.; Yang, P.; Lee, S.-C.: Using digital camera and eddy covariance data to track vegetation phenology and carbon dioxide fluxes in the Badain Jaran desert. Journal of Geophysical Research: Biogeosciences 129 (12), e2024JG008123 (2024)

Montero, D.; Kraemer, G.; Anghelea, A.; Aybar, C.; Brandt, G.; Camps-Valls, G.; Cremer, F.; Flik, I.; Gans, F.; Habershon, S. et al.; Ji, C.; Kattenborn, T.; Martínez-Ferrer, L.; Martinuzzi, F.; Reinhardt, M.; Söchting, M.; Teber, K.; Mahecha, M. D.: Earth System Data Cubes: Avenues for advancing Earth system research. Environmental Data Science 3, e27, pp. 1 - 31 (2024)

Rzanny, M.; Bebber, A.; Wittich, H. C.; Fritz, A.; Boho, D.; Mäder, P.; Wäldchen, J.: More than rapid identification—Free plant identification apps can also be highly accurate. People and Nature 6 (6), pp. 2178 - 2181 (2024)