Max Planck Gesellschaft

Nuno Carvalhais

Leader of the Model-Data Integration Group
room: C3.009a (tower)
phone: +49 3641 576225
fax: +49 3641 577200
email: nuno.carvalhais(at)

Research interests:

Dynamics of terrestrial ecosystems; biogeochemical cycles - mainly carbon, until now; model-data fusion approaches; model evaluation/development; remote sensing of vegetation.


Past: GlobBiomass; CARBO-Extreme; GeoCarbon; EMBRACE; COREGAL

Peer-reviewed publications:

2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009-2003 | show all | other

1Aparício, S., Carvalhais, N., Seixas, J. (2015). Climate change impacts on the vegetation carbon cycle of the Iberian Peninsula—Intercomparison of CMIP5 results. Journal of Geophysical Research: Biogeosciences, 120(4), 641-660. doi:10.1002/2014JG002755.
2Badawy, B. A. A. M., Rödenbeck, C., Heimann, M., Reichstein, M., Carvalhais, N. (2013). Technical note: the simple diagnostic photosynthesis and respiration model (SDPRM). Biogeosciences, 10(10), 6485-6508. doi:10.5194/bg-10-6485-2013.
3Beer, C., Reichstein, M., Tomelleri, E., Ciais, P., Jung, M., Carvalhais, N., Rödenbeck, C., Arain, M. A., Baldocchi, D., Bonan, G. B., Bondeau, A., Cescatti, A., Lasslop, G., Lindroth, A., Lomas, M., Luyssaert, S., Margolis, H., Oleson, K. W., Roupsard, O., Veenendaal, E., Viovy, N., Williams, C., Woodward, F. I., Papale, D. (2010). Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate. Science, 329(5993), 834-838. doi:10.1126/science.1184984.
4Beer, C., Weber, U., Tomelleri, E., Carvalhais, N., Mahecha, M. D., Reichstein, M. (2014). Harmonized European long-term climate data for assessing the effect of changing temporal variability on land-atmosphere CO2 fluxes. Journal of Climate, 27(13), 4815-4834. doi:10.1175/JCLI-D-13-00543.1.
5Benali, A., Carvalho, A., Nunes, J., Carvalhais, N., Santos, A. (2012). Estimating air surface temperature in Portugal using MODIS LST data. Remote Sensing of Environment, 124, 108-121. doi:10.1016/j.rse.2012.04.024.
6Benali, A., Mota, B., Carvalhais, N., Oom, D., Miller, L. M., Campagnolo, M. L., Pereira, J. M. C. (2017). Bimodal fire regimes unveil a global-scale anthropogenic fingerprint. Global Ecology and Biogeography, 26, 799-811. doi:10.1111/geb.12586.
7Besnard, S., Carvalhais, N., Arain, A., Black, A., de Bruin, S., Buchmann, N., Cescatti, A., Chen, J., Clevers, J. G. P. W., Desai, A. R., Gough, C. M., Havrankova, K., Herold, M., Hörtnagl, L., Jung, M., Knohl, A., Kruijt, B., Krupkova, L., Law, B. E., Lindroth, A., Noormets, A., Roupsard, O., Steinbrecher, R., Varlagin, A., Vincke, C., Reichstein, M. (2018). Quantifying the effect of forest age in annual net forest carbon balance. Environmental Research Letters, 13: 124018. doi:10.1088/1748-9326/aaeaeb.
8Besnard, S., Carvalhais, N., Arain, M. A., Black, A., Brede, B., Buchmann, N., Chen, J., Clevers, J. G. P. W., Dutrieux, L. P., Gans, F., Herold, M., Jung, M., Kosugi, Y., Knohl, A., Law, B. E., Paul-Limoges, E., Lohila, A., Merbold, L., Roupsard, O., Valentini, R., Wolf, S., Zhang, X., Reichstein, M. (2019). Memory effects of climate and vegetation affecting net ecosystem CO2 fluxes in global forests. PLoS One, 14(2): e0211510. doi:10.1371/journal.pone.0211510.
9Boese, S., Jung, M., Carvalhais, N., Reichstein, M. (2017). The importance of radiation for semiempirical water-use efficiency models. Biogeosciences, 14(12), 3015-3026. doi:10.5194/bg-14-3015-2017.
10Boese, S., Jung, M., Carvalhais, N., Teuling, A. J., Reichstein, M. (2019). Carbon–water flux coupling under progressive drought. Biogeosciences, 16(13), 2557-2572. doi:10.5194/bg-16-2557-2019.
11Carreiras, J. M., Quegan, S., Le Toan, T., Minh, D. H. T., Saatchi, S. S., Carvalhais, N., Reichstein, M., Scipal, K. (2017). Coverage of high biomass forests by the ESA BIOMASS mission under defense restrictions. Remote Sensing of Environment, 196, 154-162. doi:10.1016/j.rse.2017.05.003.
12Carvalhais, N., Forkel, M., Khomik, M., Bellarby, J., Jung, M., Migliavacca, M., Mu, M., Saatchi, S., Santoro, M., Thurner, M., Weber, U., Ahrens, B., Beer, C., Cescatti, A., Randerson, J. T., Reichstein, M. (2014). Global covariation of carbon turnover times with climate in terrestrial ecosystems. Nature, 514, 213-217. doi:10.1038/nature13731.
13Carvalhais, N., Reichstein, M., Ciais, P., Collatz, G. J., Mahecha, M. D., Montagnani, L., Papale, D., Rambal, S., Seixas, J. (2010). Identification of vegetation and soil carbon pools out of equilibrium in a process model via eddy covariance and biometric constraints. Global Change Biology, 16(10), 2813-2829. doi:10.1111/j.1365-2486.2010.02173.x.
14Carvalhais, N., Reichstein, M., Collatz, G. J., Mahecha, M. D., Migliavacca, M., Neigh, C. S. R., Tomelleri, E., Benali, A. A., Papale, D., Seixas, J. (2010). Deciphering the components of regional net ecosystem fluxes following a bottom-up approach for the Iberian Peninsula. Biogeosciences, 7(11), 3707-3729. doi:10.5194/bg-7-3707-2010.
15Carvalhais, N., Reichstein, M., Seixas, J., Collatz, G. J., Pereira, J. S., Berbigier, P., Carrara, A., Granier, A., Montagnani, L., Papale, D., Rambal, S., Sanz, M. J., Valentini, R. (2008). Implications of the carbon cycle steady state assumption for biogeochemical modeling performance and inverse parameter retrieval. Global Biogeochemical Cycles, 22(2), Gb2007. doi:10.1029/2007gb003033.
16El-Madany, T. S., Reichstein, M., Pérez-Priego, O., Carrara, A., Moreno, G., Pilar Martín, M., Pacheco-Labrador, J., Wohlfahrt, G., Nieto, H., Weber, U., Kolle, O., Luo, Y., Carvalhais, N., Migliavacca, M. (2018). Drivers of spatio-temporal variability of carbon dioxide and energy fluxes in a mediterranean savanna ecosystem. Agricultural and Forest Meteorology, 262, 258-278. doi:10.1016/j.agrformet.2018.07.010.
17Erb, K.-H., Kastner, T., Plutzar, C., Bais, A. L. S., Carvalhais, N., Fetzel, T., Gingrich, S., Haberl, H., Lauk, C., Niedertscheider, M., Pongratz, J., Thurner, M., Luyssaert, S. (2018). Unexpectedly large impact of forest management and grazing on global vegetation biomass. Nature, 553(7686), 73-76. doi:10.1038/nature25138.
Postprint available
18Exbrayat, J.-F., Bloom, A. A., Carvalhais, N., Fischer, R., Huth, A., MacBean, N., Williams, M. (2019). Understanding the land carbon cycle with space data: Current status and prospects. Surveys in Geophysics, 40(4), 735-755. doi:10.1007/s10712-019-09506-2.
19Eyring, V., Bock, L., Lauer, A., Righi, M., Schlund, M., Andela, B., Arnone, E., Bellprat, O., Brötz, B., Caron, L.-P., Carvalhais, N., Cionni, I., Cortesi, N., Crezee, B., Davin, E., Davini, P., Debeire, K., de Mora, L., Deser, C., Docquier, D., Earnshaw, P., Ehbrecht, C., Gier, B. K., Gonzalez-Reviriego, N., Goodman, P., Hagemann, S., Hardiman, S., Hassler, B., Hunter, A., Kadow, C., Kindermann, S., Koirala, S., Koldunov, N. V., Lejeune, Q., Lembo, V., Lovato, T., Lucarini, V., Massonnet, F., Müller, B., Pandde, A., Pérez-Zanón, N., Phillips, A., Predoi, V., Russell, J., Sellar, A., Serva, F., Stacke, T., Swaminathan, R., Torralba, V., Vegas-Regidor, J., von Hardenberg, J., Weigel, K., Zimmermann, K. (2020). Earth System Model Evaluation Tool (ESMValTool) v2.0 – an extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP. Geoscientific Model Development, 13(7), 3383-3438. doi:10.5194/gmd-13-3383-2020.
20Fan, N., Koirala, S., Reichstein, M., Thurner, M., Avitabile, V., Santoro, M., Ahrens, B., Weber, U., Carvalhais, N. (2020). Apparent ecosystem carbon turnover time: uncertainties and robust features. Earth System Science Data, 12(4), 2517-2536. doi:10.5194/essd-12-2517-2020.
21Forkel, M., Carvalhais, N., Rödenbeck, C., Keeling, R., Heimann, M., Thonicke, K., Zaehle, S., Reichstein, M. (2016). Enhanced seasonal CO2 exchange caused by amplified plant productivity in northern ecosystems. Science, 351(6274), 696-699. doi:10.1126/science.aac4971.
22Forkel, M., Carvalhais, N., Schaphoff, S., Bloh, W. v., Migliavacca, M., Thurner, M., Thonicke, K. (2014). Identifying environmental controls on vegetation greenness phenology through model-data integration. Biogeosciences, 11(23), 7025-7050. doi:10.5194/bg-11-7025-2014.
23Forkel, M., Carvalhais, N., Verbesselt, J., Mahecha, M. D., Neigh, C. S., Reichstein, M. (2013). Trend change detection in NDVI time series: Effects of inter-annual variability and methodology. Remote Sensing, 5(5), 2113-2144. doi:10.3390/rs5052113.
24Forkel, M., Drüke, M., Thurner, M., Dorigo, W., Schaphoff, S., Thonicke, K., von Bloh, W., Carvalhais, N. (2019). Constraining modelled global vegetation dynamics and carbon turnover using multiple satellite observations. Scientific Reports, 9: 18757. doi:10.1038/s41598-019-55187-7.
25Forkel, M., Migliavacca, M., Thonicke, K., Reichstein, M., Schaphoff, S., Weber, U., Carvalhais, N. (2015). Codominant water control on global interannual variability and trends in land surface phenology and greenness. Global Change Biology, 21(9), 3414-3435. doi:10.1111/gcb.12950.
26Hashimoto, S., Carvalhais, N., Ito, A., Migliavacca, M., Nishina, K., Reichstein, M. (2015). Global spatiotemporal distribution of soil respiration modeled using a global database. Biogeosciences, 12, 4121-4132. doi:10.5194/bg-12-4121-2015.
27Ilie, I., Dittrich, P., Carvalhais, N., Jung, M., Heinemeyer, A., Migliavacca, M., Morison, J. I. L., Sippel, S., Subke, J.-A., Wilkinson, M., Mahecha, M. D. (2017). Reverse engineering model structures for soil and ecosystem respiration: the potential of gene expression programming. Geoscientific Model Development, 10(9), 3519-3545. doi:10.5194/gmd-10-3519-2017.
28Jenny, J.-P., Koirala, S., Gregory-Eaves, I., Francus, P., Ahrens, B., Brovkinf, V., Ojala, A. E. K., Zolitschka, B., Bader, J., Carvalhais, N. (2020). Reply to Li et al.: Human societies began to play a significant role in global sediment transfer 4,000 years ago. Proc.Natl.Acad.Sci.USA, 1-2. doi:10.1073/pnas.1922723117.
29Jenny, J.-P., Koirala, S., Gregory-Eaves, I., Francus, P., Niemann, C., Ahrens, B., Brovkin, V., Baud, A., Ojala, A. E. K., Normandeau, A., Zolitschka, B., Carvalhais, N. (2019). Human and climate global-scale imprint on sediment transfer during the Holocene. Proc.Natl.Acad.Sci.USA, 116(46), 22972-22976. doi:10.1073/pnas.1908179116.
30Jung, M., Schwalm, C., Migliavacca, M., Walther, S., Camps-Valls, G., Koirala, S., Anthoni, P., Besnard, S., Bodesheim, P., Carvalhais, N., Chevallier, F., Gans, F., Goll, D. S., Haverd, V., Koehler, P., Ichii, K., Jain, A. K., Liu, J., Lombardozzi, D., Nabel, J. E. M. S., Nelson, J. A., O’Sullivan, M., Pallandt, M., Papale, D., Peters, W., Pongratz, J., Rödenbeck, C., Sitch, S., Tramontana, G., Walker, A., Weber, U., Reichstein, M. (2020). Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach. Biogeosciences, 17(5), 1343-1365. doi:10.5194/bg-17-1343-2020.
31Koirala, S., Jung, M., Reichstein, M., de Graaf, I. E. M., Camps-Valls, G., Ichii, K., Papale, D., Raduly, B., Schwalm, C. R., Tramontana, G., Carvalhais, N. (2017). Global distribution of groundwater-vegetation spatial covariation. Geophysical Research Letters, 44(9), 4134-4142. doi:10.1002/2017GL072885.
Postprint available
32Li, W., Ciais, P., Peng, S., Yue, C., Wang, Y., Thurner, M., Saatchi, S. S., Arneth, A., Avitabile, V., Carvalhais, N., Harper, A. B., Kato, E., Koven, C., Liu, Y. Y., Nabel, J. E., Pan, Y., Pongratz, J., Poulter, B., Pugh, T. A. M., Santoro, M., Sitch, S., Stocker, B. D., Viovy, N., Wiltshire, A., Yousefpour, R., Zaehle, S. (2017). Land-use and land-cover change carbon emissions between 1901 and 2012 constrained by biomass observations. Biogeosciences, 14(22), 5053-5067. doi:10.5194/bg-14-5053-2017.
33Linscheid, N., Estupinan-Suarez, L. M., Brenning, A., Carvalhais, N., Cremer, F., Gans, F., Rammig, A., Reichstein, M., Sierra, C., Mahecha, M. D. (2020). Towards a global understanding of vegetation–climate dynamics at multiple timescales. Biogeosciences, 17(4), 945-962. doi:10.5194/bg-17-945-2020.
34Lopes, P., Lourenço, P., Carvalhais, N., Seixas, J. (2003). MODIS Land Cover Product Validation in the Iberian Peninsula. In P. Garrett, P. Lourenco, N. Carvalhais, J. Seixas (Eds.), IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (pp. 1733-1735). New York, N.Y.: IEEE.
35Luo, Y. Q., Randerson, J. T., Abramowitz, G., Bacour, C., Blyth, E., Carvalhais, N., Ciais, P., Dalmonech, D., Fisher, J. B., Fisher, R., Friedlingstein, P., Hibbard, K., Hoffman, F., Huntzinger, D., Jones, C. D., Koven, C., Lawrence, D., Li, D. J., Mahecha, M. D., Niu, S. L., Norby, R., Piao, S. L., Qi, X., Peylin, P., Prentice, I. C., Riley, W., Reichstein, M., Schwalm, C., Wang, Y. P., Xia, J. Y., Zaehle, S., Zhou, X. H. (2012). A framework for benchmarking land models. Biogeosciences, 9, 3857-3874. doi:10.5194/bg-9-3857-2012.
36Luo, Y., Ahlström, A., Allison, S. D., Batjes, N. H., Brovkin, V., Carvalhais, N., Chappell, A., Ciais, P., Davidson, E. A., Finzi, A., Georgiou, K., Guenet, B., Hararuk, O., Harden, J. W., He, Y., Hopkins, F., Jiang, L., Koven, C., Jackson, R. B., Jones, C. D., Lara, M. J., Liang, J., McGuire, A. D., Parton, W., Peng, C., Randerson, J. T., Salazar, A., Sierra, C., Smith, M. J., Tian, H., Todd-Brown, K. E. O., Torn, M., van Groenigen, K. J., Wang, Y. P., West, T. O., Wei, Y., Wieder, W. R., Xia, J., Xu, X., Xu, X., Zhou, T. (2016). Towards more realistic projections of soil carbon dynamics by earth system models. Global Biogeochemical Cycles, 30(1), 40-56. doi:10.1002/2015GB005239.
37Mahecha, M. D., Reichstein, M., Carvalhais, N., Lasslop, G., Lange, H., Seneviratne, S. I., Vargas, R., Ammann, C., Arain, M. A., Cescatti, A., Janssens, I. A., Migliavacca, M., Montagnani, L., Richardson, A. D. (2010). Global Convergence in the Temperature Sensitivity of Respiration at Ecosystem Level. Science, 329(5993), 838-840. doi:10.1126/science.1189587.
38Mahecha, M. D., Reichstein, M., Carvalhais, N., Lasslop, G., Lange, H., Seneviratne, S. I., Vargas, R., Ammann, C., Arain, M. A., Cescatti, A., Janssens, I. A., Migliavacca, M., Montagnani, L., Richardson, A. D. (2011). Response to Comment on "Global Convergence in the Temperature Sensitivity of Respiration at Ecosystem Level". Science, 331(6022), 1265d. doi:10.1126/science.1197033.
39Mahecha, M. D., Reichstein, M., Jung, M., Seneviratne, S. I., Zaehle, S., Beer, C., Braakhekke, M. C., Carvalhais, N., Lange, H., Le Maire, G., Moors, E. (2010). Comparing observations and process-based simulations of biosphere-atmosphere exchanges on multiple time scales. Journal of Geophysical Research: Biogeosciences, 115: BGC1334, pp. G02003. doi:10.1029/2009JG001016.
40Mahecha, M. D., Reichstein, M., Lange, H., Carvalhais, N., Bernhofer, C., Grunwald, T., Papale, D., Seufert, G. (2007). Characterizing ecosystem-atmosphere interactions from short to interannual time scales. Biogeosciences, 4(5), 743-758. doi:10.5194/bg-4-743-2007.
41Migliavacca, M., Reichstein, M., Richardson, A. D., Colombo, R., Sutton, M. A., Lasslop, G., Tomelleri, E., Wohlfahrt, G., Carvalhais, N., Cescatti, A., Mahecha, M. D., Montagnani, L., Papale, D., Zaehle, S., Arain, A., Arneth, A., Black, T. A., Carrara, A., Dore, S., Gianelle, D., Helfter, C., Hollinger, D., Kutsch, W. L., Lafleur, P. M., Nouvellon, Y., Rebmann, C., Rocha, D., Rodeghiero, M., Roupsard, O., Sebastià, M.-T., Seufert, G., Soussana, J.-F., Molen, V. D. (2011). Semiempirical modeling of abiotic and biotic factors controlling ecosystem respiration across eddy covariance sites. Global Change Biology, 17(1), 390-409. doi:10.1111/j.1365-2486.2010.02243.x.
42Migliavacca, M., Reichstein, M., Richardson, A. D., Mahecha, M. D., Cremonese, E., Delpierre, N., Galvagno, M., Law, B. E., Wohlfahrt, G., Black, T. A., Carvalhais, N., Ceccherini, G., Chen, J., Gobron, N., Koffi, E., Munger, J. W., Perez-Priego, O., Robustelli, M., Tomelleri, E., Cescatti, A. (2015). Influence of physiological phenology on the seasonal pattern of ecosystem respiration in deciduous forests. Global Change Biology, 21(1), 363-376. doi:10.1111/gcb.12671.
43Neigh, C. S., Bolton, D. K., Diabate, M., Williams, J. J., Carvalhais, N. (2014). An automated approach to map the history of forest disturbance from insect mortality and harvest with landsat time-series data. Remote Sensing, 6(4), 2782-2808. doi:10.3390/rs6042782.
44Nelson, J. A., Carvalhais, N., Cuntz, M., Delpierre, N., Knauer, J., Oge, J., Migliavacca, M., Reichstein, M., Jung, M. (2018). Coupling water and carbon fluxes to constrain estimates of transpiration: the TEA algorithm. Journal of Geophysical Research: Biogeosciences, 123(12), 3617-3632. doi:10.1029/2018JG004727.
45Nelson, J. A., Carvalhais, N., Migliavacca, M., Reichstein, M., Jung, M. (2018). Water-stress-induced breakdown of carbon–water relations: indicators from diurnal FLUXNET patterns. Biogeosciences, 15(8), 2433-2447. doi:10.5194/bg-15-2433-2018.
46Nelson, J. A., Pérez-Priego, O., Zhou, S., Poyatos, R., Zhang, Y., Blanken, P. D., Gimeno, T. E., Wohlfahrt, G., Desai, A. R., Gioli, B., Limousin, J., Bonal, D., Paul-Limoges, E., Scott, R. L., Varlagin, A., Fuchs, K., Montagnani, L., Wolf, S., Delpierre, N., Berveiller, D., Gharun, M., Marchesini, L. B., Gianelle, D., Šigut, L., Mammarella, I., Siebicke, L., Black, T. A., Knohl, A., Hörtnagl, L., Magliulo, V., Besnard, S., Weber, U., Carvalhais, N., Migliavacca, M., Reichstein, M., Jung, M. (2020). Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites. Global Change Biology, 26(12), 6916-6930. doi:10.1111/gcb.15314.
47Nunes, J. P., Vieira, G. N., Seixas, J., Gonçalves, P., Carvalhais, N. (2005). Evaluating the MEFIDIS model for runoff and soil erosion prediction during rainfall events. Catena, 61(2-3), 210-228. doi:10.1016/j.catena.2005.03.005.
48Pacheco-Labrador, J., Carvalhais, N., Perez-Priego, O., El-Madany, T. S., Rossini, M., Julitta, T., Moreno, G., González-Cascón, R., Martín, M. P., Reichstein, M., Carrara, A., Guanter, L., Migliavacca, M. (2018). Assessing the use of multiple constraints and ancillary data to support scope model inversion in a experimental grassland. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS (pp. 5975-5978). Institute of Electrical and Electronics Engineers Inc. doi:10.1109/IGARSS.2018.8518487.
49Pacheco-Labrador, J., Perez-Priego, O., El-Madany, T. S., Julitta, T., Rossini, M., Guan, J.-H., Moreno, G., Carvalhais, N., Martín, M. P., Gonzalez-Cascon, R., Kolle, O., Reichstein, M., van der Tolg, C., Carrara, A., Martini, D., Hammer, T. W., Moossen, H., Migliavacca, M. (2019). Multiple-constraint inversion of SCOPE. Evaluating the potential of GPP and SIF for the retrieval of plant functional traits. Remote Sensing of Environment, 234: 111362. doi:10.1016/j.rse.2019.111362.
50Papale, D., Black, T. A., Carvalhais, N., Cescatti, A., Chen, J., Jung, M., Kiely, G., Lasslop, G., Mahecha, M. D., Margolis, H., Merbold, L., Montagnani, L., Moors, E., Olesen, J. E., Reichstein, M., Tramontana, G., van Gorsel, E., Wohlfahrt, G., Ráduly, B. (2015). Effect of spatial sampling from European flux towers for estimating carbon and water fluxes with artificial neural networks. Journal of Geophysical Research: Biogeosciences, 120(10), 1941-1957. doi:10.1002/2015JG002997.
Postprint available
51Pérez-Priego, O., Guan, J.-H., Rossini, M., Fava, F., Wutzler, T., Moreno, G., Carvalhais, N., Carrara, A., Kolle, O., Julitta, T., Schrumpf, M., Reichstein, M., Migliavacca, M. (2015). Sun-induced chlorophyll fluorescence and photochemical reflectance index improve remote-sensing gross primary production estimates under varying nutrient availability in a typical Mediterranean savanna ecosystem. Biogeosciences, 12(21), 6351-6367. doi:10.5194/bg-12-6351-2015.
52Reichstein, M., Besnard, S., Carvalhais, N., Gans, F., Jung, M., Kraft, B., Mahecha, M. D. (2018). Modelling landsurface time-series with recurrent neural nets. In 2018 IEEE International geoscience and remote sensing symposium (IGARSS) (pp. 7640-7643). 2018: Valencia. doi:10.1109/IGARSS.2018.8518007.
53Reichstein, M., Camps-Valls, G., Stevens, B., Jung, M., Denzler, J., Carvalhais, N., Prabhat (2019). Deep learning and process understanding for data-driven Earth system science. Nature, 566(7743), 195-204. doi:10.1038/s41586-019-0912-1.
54Reichstein, M., Carvalhais, N. (2019). Aspects of forest biomass in the earth system: Its role and major unknowns. Surveys in Geophysics, 40(4), 693-707. doi:10.1007/s10712-019-09551-x.
55Reichstein, M., Richardson, A. D., Migliavacca, M., Carvalhais, N. (2014). Plant–environment interactions across multiple scales. In R. K. Monson (Ed.), Ecology and the Environment (pp. 1-27). New York: Springer.
56Rodriguez-Veiga, P., Quegan, S., Carreiras, J., Persson, H. J., Fransson, J. E. S., Hoscilo, A., Ziolkowski, D., Sterenczak, K., Lohberger, S., Staengel, M., Berninger, A., Siegert, F., Avitabile, V., Herold, M., Mermoz, S., Bouvet, A., Le Toan, T., Carvalhais, N., Santoro, M., Cartus, O., Rauste, Y., Mathieu, R., Asner, G. P., Thiel, C., Pathe, C., Schmullius, C., Seifert, F. M., Tansey, K., Balzter, H. (2019). Forest biomass retrieval approaches from earth observation in different biomes. International Journal of Applied Earth Observation and Geoinformation, 77, 53-68. doi:10.1016/j.jag.2018.12.008.
57Schürmann, G., Kaminski, T., Köstler, C., Carvalhais, N., Voßbeck, M., Kattge, J., Giering, R., Rödenbeck, C., Heimann, M., Zaehle, S. (2016). Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0. Geoscientific Model Development, 9(9), 2999-3026. doi:10.5194/gmd-9-2999-2016.
58Sus, O., Poyatos, R., Barba, J., Carvalhais, N., Llorens, P., Williams, M., Vilalta, J. M. (2014). Time variable hydraulic parameters improve the performance of a mechanistic stand transpiration model. A case study of Mediterranean Scots pine sap flow data assimilation. Agricultural and Forest Meteorology, 198-199, 168-180. doi:10.1016/j.agrformet.2014.08.009.
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Frascati, Nov. 2010


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