Department Biogeochemical Integration | Research / ModelDataFusionPub
Max Planck Gesellschaft

Publications of the Model-Data Integration Group:

1Reichstein, 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.
2Besnard, 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.
3Jung, M., Koirala, S., Weber, U., Ichii, K., Gans, F., Camps-Valls, G., Papale, D., Schwalm, C., Tramontana, G., Reichstein, M. (2019). The FLUXCOM ensemble of global land-atmosphere energy fluxes. Scientific Data, 6: 74. doi:10.1038/s41597-019-0076-8.
4Boese, 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.
5Feng, X., Posmentier, E. S., Sonder, L. J., Fan, N. (2019). Rethinking Craig and Gordon’s approach to modeling isotopic compositions of marine boundary layer vapor. Atmospheric Chemistry and Physics, 19, 4005-4024. doi:10.5194/acp-19-4005-2019.
6Rodriguez-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.
7Reichstein, 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.
8Koirala, S., Kim, H., Hirabayashi, Y., Kanae, S., Oki, T. (2019). Sensitivity of global hydrological simulations to groundwater capillary flux parameterizations. Water Resources Research, 55(1), 402-425. doi:10.1029/2018WR023434.
9Evin, G., Wilhelm, B., Jenny, J.-P. (2019). Flood hazard assessment of the Rhône river revisited with reconstructed discharges from lake sediments. Global and Planetary Change, 172, 114-123. doi:10.1016/j.gloplacha.2018.09.010.
10Exbrayat, 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.
11Tang, X., Carvalhais, N., Moura, C., Ahrens, B., Koirala, S., Fan, S., Guan, F., Zhang, W., Gao, S., Magliulo, V., Buysse, P., Liu, S., Chen, G., Yang, W., Yu, Z., Liang, J., Shi, L., Pu, S., Reichstein, M. (2019). Global variability of carbon use efficiency in terrestrial ecosystems. Biogeosciences Discussions. doi:10.5194/bg-2019-37.
12Nelson, 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.
13Nelson, 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.
14Lim, W. H., Yamazaki, D., Koirala, S., Hirabayashi, Y., Kanae, S., Dadson, S. J., Hall, J. W., Sun, F. (2018). Long-term changes in global socioeconomic benefits of flood defenses and residual risk based on CMIP5 climate models. Earth's future / American Geophysical Union, 6(7), 938-954. doi:10.1002/2017EF000671.
15Besnard, 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.
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., Yunpeng, L., 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.
17Trautmann, T., Koirala, S., Carvalhais, N., Eicker, A., Fink, M., Niemann, C., Jung, M. (2018). Understanding terrestrial water storage variations in northern latitudes across scales. Hydrology and Earth System Sciences, 22(7), 4061-4082. doi:10.5194/hess-22-4061-2018.
18Dubois, N., Saulnier-Talbot, É., Mills, K., Gell, P., Battarbee, R., Bennion, H., Chawchai, S., Dong, X., Francus, P., Flower, R., Gomes, D. F., Gregory-Eaves, I., Humane, S., Kattel, G., Jenny, J.-P., Langdon, P., Massaferro, J., McGowan, S., Mikomägi, A., Ngoc, N. T. M., Ratnayake, A. S., Reid, M., Rose, N., Saros, J., Schillereff, D., Tolotti, M., Valero-Garcés, B. (2018). First human impacts and responses of aquatic systems: A review of palaeolimnological records from around the world. The Anthropocene Review, 5(1), 28-68. doi:10.1177/2053019617740365.
19Erb, 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.
20Hartmann, H., Moura, C., Anderegg, W. R. L., Ruehr, N. K., Salmon, Y., Allen, C. D., Arndt, S. K., Breshears, D. D., Davi, H., Galbraith, D., Ruthrof, K. X., Wunder, J., Adams, H. D., Bloemen, J., Cailleret, M., Cobb, R., Gessler, A., Grams, T. E. E., Jansen, S., Kautz, M., Lloret, F., O’Brien, M. (2018). Research frontiers for improving our understanding of drought-induced tree and forest mortality. New Phytologist, 218(1), 15-28. doi:10.1111/nph.15048.
21Lapointe, F., Francus, P., Lamoureux, S. F., Vuille, M., Jenny, J.-P., Bradley, R. S. (2017). Influence of North Pacific decadal variability on the western Canadian Arctic over the past 700 years. Climate of the past, 13(4), 411-420. doi:10.5194/cp-13-411-2017.
22Li, 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.
23Ilie, 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.
24Benali, 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.
25Carreiras, 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.
26Thurner, M., Beer, C., Ciais, P., Friend, A. D., Ito, A., Kleidon, A., Lomas, M. R., Quegan, S., Rademacher, T. T., Schaphoff, S., Tum, M., Wiltshire, A., Carvalhais, N. (2017). Evaluation of climate-related carbon turnover processes in global vegetation models for boreal and temperate forests. Global Change Biology, 23(8), 3076-3091. doi:10.1111/gcb.13660.
27Boese, 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.
28Koirala, 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.
29Zscheischler, J., Mahecha, M. D., Avitabile, V., Calle, L., Carvalhais, N., Ciais, P., Gans, F., Gruber, N., Hartmann, J., Herold, M., Ichii, K., Jung, M., Landschützer, P., Laruelle, G. G., Lauerwald, R., Papale, D., Peylin, P., Poulter, B., Ray, D., Regnier, P., Rödenbeck, C., Roman-Cuesta, R. M., Schwalm, C., Tramontana, G., Tyukavina, A. T., Valentini, R., van der Werf, G., West, T. O., Wolf, J. E., Reichstein, M. (2017). Reviews and syntheses: An empirical spatiotemporal description of the global surface–atmosphere carbon fluxes: opportunities and data limitations. Biogeosciences, 14(15), 3685-3703. doi:10.5194/bg-14-3685-2017.
30Filippa, G., Cremonese, E., Migliavacca, M., Galvagno, M., Forkel, M., Wingate, L., Tomelleri, E., di Cella, U. M., Richardson, A. D. (2016). Phenopix: A R package for image-based vegetation phenology. Agricultural and Forest Meteorology, 220, 141-150. doi:10.1016/j.agrformet.2016.01.006.
31Schürmann, 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.
32Luo, 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.
33Jenny, J.-P., Normandeau, A., Francus, P., Taranu, Z. E., Gregory-Eaves, I., Lapointe, F., Jautzy, J., Ojala, A. E. K., Dorioz, J.-M., Schimmelmann, A., Zolitschka, B. (2016). Urban point sources of nutrients were the leading cause for the historical spread of hypoxia across European lakes. Proc.Natl.Acad.Sci.USA, 113(45), 12655-12660. doi:10.1073/pnas.1605480113.
34Thurner, M., Beer, C., Carvalhais, N., Forkel, M., Santoro, M., Tum, M., Schmullius, C. (2016). Large-scale variation in boreal and temperate forest carbon turnover rate is related to climate. Geophysical Research Letters, 43(9), 4576-4585. doi:10.1002/2016GL068794.
35Forkel, 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.
36Semenova, O., Lebedeva, L., Volkova, N., Korenev, I., Forkel, M., Eberle, J., Urban, M. (2015). Detecting immediate wildfire impact on runoff in a poorly-gauged mountainous permafrost basin. Hydrological Sciences Journal, 60(7-8), 1225-1241. doi:10.1080/02626667.2014.959960.
37Aparício, 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.
38Ikeuchi, H., Hirabayashi, Y., Yamazaki, D., Kiguchi, M., Koirala, S., Nagano, T., Kotera, A., Kanae, S. (2015). Modeling complex flow dynamics of fluvial floods exacerbated by sea level rise in the Ganges-Brahmaputra-Meghna Delta. Environmental Research Letters, 10(12): 124011. doi:10.1088/1748-9326/10/12/124011.
39Forkel, 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.
40Pokhrel, Y. N., Koirala, S., Yeh, P.-J.-.-F., Hanasaki, N., Longuevergne, L., Kanae, S., Oki, T. (2015). Incorporation of groundwater pumping in a global land surface model with the representation of human impacts. Water Resources Research, 51(1), 78-96. doi:10.1002/2014WR015602.
41Hashimoto, 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.
42Papale, 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.
43Migliavacca, 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.
44Pérez-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.
45Reichstein, 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.
46Wutzler, T., Carvalhais, N. (2014). Balancing multiple constraints in model-data integration: Weights and the parameter block approach. Journal of Geophysical Research: Biogeosciences, 119(11), 2112-2129. doi:10.1002/2014JG002650.
47Neigh, 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.
48Lange, H., Boese, S. (2014). Recurrence quantification and recurrence network analysis of global photosynthetic activity. In C. L. Webber, N. Marwan (Eds.), Recurrence Quantification Analysis: Theory and Best Practices (pp. 349-374). Cham [u.a.]: Springer.
49Beer, 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.
50Carvalhais, 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.
51Koirala, S., Hirabayashi, Y., Mahendran, R., Kanae, S. (2014). Global assessment of agreement among streamflow projections using CMIP5 model outputs. Environmental Research Letters, 9(6): 064017. doi:10.1088/1748-9326/9/6/064017.
52Forkel, 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.
53Thurner, M., Beer, C., Santoro, M., Carvalhais, N., Wutzler, T., Schepaschenko, D., Shvidenko, A., Kompter, E., Ahrens, B., Levick, S., Schmullius, C. (2014). Carbon stock and density of northern boreal and temperate forests. Global Ecology and Biogeography, 23(3), 297-310. doi:10.1111/geb.12125.
54Forkel, 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.
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