Browsing by Author Tramontana, G.
Showing results 3 to 13 of 13
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| Issue Date | Title | Author(s) |
|---|---|---|
| 2015 | Effect of spatial sampling from European flux towers for estimating carbon and water fluxes with artificial neural networks | Papale, Dario ; Margolis, H.; Merbold, L.; Montagnani, L.; Moors, E.; Olesen, J. E.; Reichstein, M.; Tramontana, G.; Van Gorsel, E.; Wohlfahrt, G.; Rduly, B.; Black, T. A.; Carvalhais, N.; Cescatti, A.; Chen, J.; Jung, M.; Kiely, G.; Lasslop, G.; Mahecha, M. D. |
| 2017 | An empirical spatiotemporal description of the global surfaceatmosphere carbon fluxes: opportunities and data limitations | Zscheischler, J.; Herold, M.; Ichii, K.; Jung, M.; Landschutzer, P.; Laruelle, G. G.; Lauerwald, R.; Papale, Dario ; Peylin, P.; Poulter, B.; Ray, D.; Mahecha, M. D.; Regnier, P.; Rdenbeck, C.; Roman-cuesta, R. M.; Schwalm, C.; Tramontana, G.; Tyukavina, A.; Valentini, R.; Van Der Werf, G.; West, T. O.; Wolf, J. E.; Avitabile, V.; Reichstein, M.; Calle, L.; Carvalhais, N.; Ciais, P.; Gans, F.; Gruber, N.; Hartmann, J. |
| 2019 | The FLUXCOM ensemble of global land-atmosphere energy fluxes | Jung, M.; Reichstein, M.; Koirala, S.; Weber, U.; Ichii, K.; Gans, F.; Camps-valls, G.; Papale, Dario ; Schwalm, C.; Tramontana, G. |
| 2017 | Global distribution of groundwater-vegetation spatial covariation | Koirala, S.; Tramontana, G.; Carvalhais, N.; Jung, M.; Reichstein, M.; De Graaf, I. E. M.; Camps-valls, G.; Ichii, K.; Papale, Dario ; Rduly, B.; Schwalm, C. R. |
| 2020 | Monitoring tropical forests under a functional perspective with satellite-based vegetation optical depth | Vaglio Laurin, G.; Vittucci, C.; Tramontana, G.; Ferrazzoli, P.; Guerriero, L.; Papale, Dario |
| 2020 | Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks | Tramontana, G.; Migliavacca, M.; Jung, M.; Reichstein, M.; Keenen, T. F.; Camps-valls, G.; Ogee, J.; Verrelst, J.; Papale, Dario |
| 2016 | Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms | Tramontana, G.; Kiely, G.; Merbold, L.; Serrano-ortiz, P.; Sickert, S.; Wolf, S.; Papale, Dario ; Jung, M.; Schwalm, C. R.; Ichii, K.; Camps-valls, G.; Rduly, B.; Reichstein, M.; Arain , M. A.; Cescatti, A. |
| 2017 | Reviews and syntheses | Zscheischler, J.; Herold, M.; Ichii, K.; Jung, M.; Landschtzer, P.; Laruelle, G. G.; Lauerwald, R.; Papale, Dario ; Peylin, P.; Poulter, B.; Ray, D.; Mahecha, M. D.; Regnier, P.; Rdenbeck, C.; Roman-cuesta, R. M.; Schwalm, C.; Tramontana, G.; Tyukavina, A.; Valentini, R.; Van Der Werf, G.; West, T. O.; Wolf, J. E.; Avitabile, V.; Reichstein, M.; Calle, L.; Carvalhais, N.; Ciais, P.; Gans, F.; Gruber, N.; Hartmann, J. |
| 2020 | Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach | Jung, M.; Carvalhais, N.; Chevallier, F.; Gans, F.; Goll, D. S.; Haverd, V.; Köhler, P.; Ichii, K.; Jain, A. K.; Liu, J.; Lombardozzi, D.; Schwalm, C.; Nabel, J. E. M. S.; Nelson, J. A.; O’sullivan, M.; Pallandt, M.; Papale, Dario ; Peters, W.; Pongratz, J.; Rödenbeck, C.; Sitch, S.; Tramontana, G.; Migliavacca, M.; Walker, A.; Weber, U.; Reichstein, M.; Walther, S.; Camps-valls, G.; Koirala, S.; Anthoni, P.; Besnard, S.; Bodesheim, P. |
| 2015 | Uncertainty analysis of gross primary production upscaling using Random Forests, remote sensing and eddy covariance data | Tramontana, G.; Ichii, K.; Camps-valls, G.; Tomelleri, E.; Papale, Dario |
| 2019 | Vegetation optical depth at L-band and above ground biomass in the tropical range: Evaluating their relationships at continental and regional scales | Vittucci, C.; Vaglio Laurin, G.; Tramontana, G.; Ferrazzoli, P.; Guerriero, L.; Papale, Dario |