Publications

Journal Article (150)

1.
Scipal, K.; Albinet, C.; Caccia, M.; Carbone, A.; Carvalhais, N.; Chave, J.; Dall, J.; Fehringer, M.; Leanza, A.; Le Toan, T. et al.; Malik, M.; Novelli, A.; Paillou, P.; Papathanassiou, K. P.; Patterson, J.; Pinheiro, M.; Quegan, S.; Reichstein, M.; Rommen, B.; Saatchi, S.; Shugart, H. H.; Tebaldini, S.; Ulander, L. M. H.; Valentino, A.; Willemsen, P.; Williams, M.: BIOMASS: ESA’s P-Band SAR Mission. Proceedings of the IEEE 114 (2), pp. 220 - 235 (2026)
2.
Duncanson, L.; Montesano, P.M.; Neuenschwander, A.; Zarringhalam, A.; Thomas, N.; Minor, D.M.; Wulder, M.A.; White, J.C.; Guenther, E.; Feng, T. et al.; Leitold, V.; Hancock, S.; Armston, J.; Puliti, S.; Mandel, A.I.; Shah, S.; Silva, C.; Purslow, M.; Bruening, J.; Breidenbach, J.; Næsset, E.; Saarela, S.; Hunka, N.; Kellner, J.R.; Healey, S.P.; Schepaschenko, D.; Wallerman, J.; Neigh, C.S.R.; Carvalhais, N.; Dubayah, R.: Global and boreal estimates of woody aboveground biomass for 2020: Filling GEDI'S northern data gap with ICESat-2 and harmonized landsat sentinel-2. Remote Sensing of Environment 340, 115406 (2026)
3.
Kang, W.; Bonfils, C.; Li, R.; Rioual, P.; Liu, J.; Anslan, S.; Echeverría-Galindo, P.; Schwarz, A.; Wünnemann, B.; Hoelzmann, P. et al.; Lami, A.; Huang, L.; Börner, N.; Wang, J.; Chen, G.; Chen, F.; Schwalb, A.: Forced changes in a Tibetan lake ecosystem over the past millennium. Nature Communications (2026)
4.
De, R.; Brenning, A.; Reichstein, M.; Sigut, L.; Reverter, B. R.; Korkiakoski, M.; Paul-Limoges, E.; Blanken, P. D.; Black, T. A.; Gielen, B. et al.; Tagesson, T.; Wohlfahrt, G.; Montagnani, L.; Wolf, S.; Chen, J.; Liddell, M.; Desai, A.; Koirala, S.; Carvalhais, N.: Inter–annual variability of model parameters improves simulation of annual gross primary production. Journal of Advances in Modeling Earth Systems 18 (6), e2025MS005116 (2026)
5.
Ritter, F.; Ciais, P.; Senf, C.; Santoro, M.; Xu, Y.; Pelissier-Tanon, A.; Schwartz, M.; Fayad, I.; Carvalhais, N.; Brandt, M. et al.; Fensholt, R.; Besnard, S.; Avitabile, V.: Alarming decline in the carbon sink of European forests driven by disturbances. National Science Review (accepted)
6.
Nadolski, L.; Wesselkamp, M.; El-Madany, T. S.; Lange, M.; Nelson, J. A.; Carrara, A.; Wieckowski, A.; Hildebrandt, A.; Reichstein, M.; Lee, S.-C.: Impacts of precipitation variability on carbon flux dynamics of global semi‐arid savannas. Global Change Biology 32 (6), e70954 (2026)
7.
Moreno-Martínez, Á.; Muñoz-Marí, J.; Adsuara, J. E.; Dechant, B.; Kattge, J.; Kattenborn, T.; Sabatini, F. M.; Schneider, F. D.; Duveiller, G.; van Bodegom, P. M. et al.; Butler, E. E.; Mahecha, M. D.; Izquierdo-Verdiguier, E.; Peñuelas, J.; Boenisch, G.; Pavlick, R.; Townsend, P. A.; Carvalhais, N.; Lusk, D.; Camps-Valls, G.: Leveraging remote sensing and crowd-sourced biodiversity data for enhanced plant functional trait mapping. Nature Communications 17, 5488 (2026)
8.
Liu, J.; Qian, Y.; Wang, S.; Gu, W.; Guo, D.: Characterizing diurnal variations and driving factors of major gaseous pollutants across China. Atmospheric Environment 367, 121759 (2026)
9.
Feng, M.; Sexton, J. O.; Wang, P.; Montesano, P. M.; Calle, L.; Carvalhais, N.; Poulter, B.; Macander, M. J.; Wulder, M. A.; Wooten, M. et al.; Wagner, W.; Elders, A.; Channan, S.; Neigh, C. S.R.: Northward shift of boreal tree cover confirmed by satellite record. Biogeosciences 23 (3), pp. 1089 - 1101 (2026)
10.
Bonilla-Flores, M.; Karanovic, I.; Echeverría-Galindo, P.; Frenzel, P.; Pérez, L.; Börner, N.; Dulias, K.; Wang, J.; Schwalb, A.: Heterocypris exodonta sp. nov. (Ostracoda, Cyprididae), morphological and molecular description of a high altitude asexual microcrustacean from the Nam Co region, Southern Tibetan Plateau. Zookeys 1264, pp. 207 - 248 (2025)
11.
Pu, J.; Chang, Y.; Gao, S.; Bao, S.; Yan, K.; Sun, X.; Carvalhais, N.; Myneni, R. B.: MCI GPP: ensembling a global model- and climate-independent gross primary productivity for 2001–2023. Scientific Data 12, 1965 (2025)
12.
ElGhawi, R.; Reimers, C.; Schnur, R.; Reichstein, M.; Körner, M.; Carvalhais, N.; Winkler, A. J.: Hybrid‐modeling of land‐atmosphere fluxes using integrated machine learning in the ICON‐ESM modeling framework. Journal of Advances in Modeling Earth Systems 17 (12), e2025MS005102 (2025)
13.
Besnard, S.; Heinrich, V. H. A.; Carvalhais, N.; Ciais, P.; Herold, M.; Luijkx, I.; Peters, W.; Suarez, D. R.; Santoro, M.; Yang, H.: Global covariation of forest age transitions with the net carbon balance. Nature Ecology & Evolution 9, pp. 1848 - 1860 (2025)
14.
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. Agricultural and Forest Meteorology 372, 110701 (2025)
15.
De, R.; Bao, S.; Koirala, S.; Brenning, A.; Reichstein, M.; Tagesson, T.; Liddell, M.; Ibrom, A.; Wolf, S.; Sigut, L. et al.; Hörtnagl, L.; Woodgate, W.; Korkiakoski, M.; Merbold, L.; Black, T. A.; Roland, M. E.; Klosterhalfen, A.; Blanken, P. D.; Knox, S.; Sabbatini, S.; Gielen, B.; Montagnani, L.; Fensholt, R.; Wohlfahrt, G.; Desai, A. R.; Paul-Limoges, E.; Galvagno, M.; Hammerle, A.; Jocher, G.; Reverter, B. R.; Holl, D.; Chen, J.; Vitale, L.; Arain, M. A.; Carvalhais, N.: Addressing challenges in simulating inter-annual variability of gross primary production. Journal of Advances in Modeling Earth Systems 17 (5), e2024MS004697 (2025)
16.
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)
17.
Karasante, I.; Alonso, L.; Prapas, I.; Ahuja, A.; Carvalhais, N.; Papoutsis, I.: SeasFire cube - a multivariate dataset for global wildfire modeling. Scientific Data 12, 368 (2025)
18.
Lee, H. T.; Jung, M.; Carvalhais, N.; Reichstein, M.; Forkel, M.; Bloom, A. A.; Pacheco-Labrador, J.; Koirala, S.: Spatial attribution of temporal variability in global land-atmosphere CO2 exchange using a model-data integration framework. Journal of Advances in Modeling Earth Systems 17 (3), e2024MS004479v (2025)
19.
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)
20.
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)
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