Terrestrial water cycle. Plant – water interactions. Rock – water interactions. Process-based modelling , conceptual modelling. Ongoing PhD & master supervision Diego Chavez (Aix-Marseille University, France). Co-supervision with Christine Vallet-Coulomb (CEREGE): Taha Attou (UM6P, Morocco / UT3). Co-supervision with Chehbouni Abdelghani (UM6P), Valérie Demarez (CESBIO) and Mohammed Kharrou (UM6P): Study of groundwater recharge processes at regional scale insemi-arid environment using isotope technique and eco-hydrological modelling Ongoing PhD collaborator / committee Juliette Glorieux (UC Louvain, Belgium). Supervision Pierre Delmelle (UCL). Understanding the capacity of enhanced silicate weathering in temperate croplands to remove CO2 from the atmosphere and of its side effects on soil properties, processes and functions. Kevin Li (U Connecticut, USA). Supervision James Knighton (U Conn): Ecohydrological modelling and stable isotopes in water to study how insect infestation and silviculture impacts water resources. Modelling tools: EcH2O-iso, an ecohydrological model of the critical zone: online repository with case study and user guide.
Marc O, Barret M, Biancamaria S, Dassas K, Firmin A, Gandois L, Gheusi F, Kuppel S, Maisonobe M, Mialon A, Monnier L, Pantillon F, Toublanc F: Comprehensive carbon footprint of Earth, environmental and space science laboratories: Implications for sustainable scientific practice. PLOS Sustain Transform 3(10): e0000135. https://doi.org/10.1371/journal.pstr.0000135, 2024. Ackerer, J., Kuppel, S., Braud, I., Pasquet, S., Fovet, O., Probst, A., et al. . Exploring the critical zone heterogeneity and the hydrological diversity using an integrated ecohydrological model in three contrasted long-term observatories. Water Resources Research, 59, e2023WR035672. https://doi.org/10.1029/2023WR035672, 2023. Li, K., Kuppel, S., & Knighton, J.: Parameterizing vegetation traits with a process-based ecohydrological model and xylem water isotopic observations. Journal of Advances in Modeling Earth Systems, 15, e2022MS003263. https://doi.org/10.1029/2022MS003263, 2022. MacBean, N., Bacour, C., Raoult, N., Bastrikov, V., Koffi, E. N., Kuppel, S., … & Peylin, P.: Quantifying and reducing uncertainty in global carbon cycle predictions: lessons and perspectives from 15 years of data assimilation studies with the ORCHIDEE Terrestrial Biosphere Model. Global Biogeochemical Cycles, 36(7), e2021GB007177. 10.1029/2021GB007177, 2022. Arora, B., P. Sullivan, S. Kuppel, X. Yang, and J. Groh: The future of critical zone science: Call for papers, Eos, 102, https://doi.org/10.1029/2021EO157965, 2021. Fovet, O., A. Belemtougri, L. Boithias, I. Braud, J.-B. Charlier, M. Cottet, K. Daudin, G. Dramais, A. Ducharne, N. Folton, M. Grippa, B. Hector, S. Kuppel, J. Le Coz, L. Legal, P. Martin, F. Moatar, J. Molénat, A. Probst, J. Riotte, J.-P. Vidal, F. Vinatier, and T. Datry : Intermittent rivers and ephemeral streams: perspectives for critical zone sciences and research on socio-ecosystems, WIREs Water, 10.1002/wat2.1523, 2021. Giménez, R., J.L. Mercau, F.E. Bert, S. Kuppel, G. Baldi, J. Houspanossian, P.N. Magliano, and E.G Jobbágy : Hydrological and productive impacts of recent land‐use and land‐cover changes in the semiarid Chaco: Understanding novel water excess in water scarce farmlands. Ecohydrology, 13:e2243. https://doi.org/10.1002/eco.2243, 2020. Neill A.J., D. Tetzlaff, N.J.C. Strachan, R.L. Hough, L.M. Avery, S. Kuppel, M.P. Maneta, and C. Soulsby : An agent-based model that simulates the spatio-temporal dynamics of sources and transfer mechanisms contributing faecal indicator organisms to streams. Part 1: Background and model description. Journal of Environmental Management, 270, 110903, doi: 10.1016/j.jenvman.2020.110903, 2020. Kuppel, S., D. Tetzlaff, M.P. Maneta, and C. Soulsby : Critical zone storage controls on the water ages of ecohydrological outputs. Geophysical Research Letters, 47, e2020GL088897. https://doi.org/10.1029/2020GL088897, 2020. Knighton, J., S. Kuppel, A. Smith, M. Sprenger, C. Soulsby, and D. Tetzlaff : Using Isotopes to Incorporate Tree Water Storage and Mixing Dynamics into a Distributed Hydrologic Modeling Framework, Ecohydrology, doi:10.1002/eco.2201, 2020. Tague, C., S. Papuga, C. Gerlein-Safdi, S. Dymond, R. Morrison, E. Boyer, D. Riveros-Iregui, E. Agee, B. Arora, Y. Dialynas, A. Hansen, S. Krause, S. Kuppel, S.P Loheide II, S.J. Schymanski, S.C. Zipper : Adding our leaves: a community-wide perspective on research directions in ecohydrology, Hydrological Processes, doi:10.1002/hyp.13693, 2020. Peaucelle, M., C. Bacour, P. Ciais, N. Vuichard, S. Kuppel, J. Peñuelas, et al. : Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model, Global Ecol. Biogeogr., doi:10.1111/geb.12937, 2019. Douinot, A., D. Tetzlaff, M.P. Maneta, S. Kuppel, H. Schulte-Bisping, and C. Soulsby : Ecohydrological modelling with EcH2O-iso to quantify forest and grassland effects on water partitioning and flux ages, Hydrological Processes, 33, 2174–2191, doi:10.1002/hyp.13480, 2019. Bastrikov, V., N. MacBean, C. Bacour, D. Santaren, S. Kuppel, and P. Peylin : Land surface model parameter optimisation using in-situ flux data: comparison of gradient-based versus random search algorithms, Geoscientific Model Development, 11, 4739–4754, doi:10.5194/gmd-11-4739-2018, 2018. Maneta, M.P., C. Soulsby, S. Kuppel, and D. Tetzlaff : Conceptualizing catchment storage dynamics and nonlinearities, Hydrological Processes (IF 3.2), 32, 3299–3303, doi:10.1002/hyp.13262, 2018. Kuppel, S., D. Tetzlaff, M.P. Maneta, and C. Soulsby : EcH2O-iso 1.0 : Water isotopes and age tracking implemented in a process-based, distributed ecohydrological model, Geoscientific Model Development, 11, 3045–3069, doi:10.5194/gmd-11-3045-2018, 2018. Kuppel, S., M.P. Maneta, D. Tetzlaff, and C. Soulsby : What can we learn from multi-data calibration of a process-based ecohydrological model ?, Environmental Modelling & Software (IF 4.6), 101, 301–316, doi:10.1016/j.envsoft.2018.01.001, 2018. Houspanossian, J., S. Kuppel, M.D. Nosetto, C. Di Bella, P. Oricchio, M. Barrucand, M. Rusticucci, and E.G. Jobbágy : The effect of long-lasting floods on the thermal regime of the Pampas. Theoretical and Applied Climatology, 131, 111–120, doi:10.1007/s00704-016-1959-7, 2018. Kuppel, S., Y. Fan, and E.G. Jobbágy : Seasonal hydrologic buffer on continents: patterns, drivers and ecological benefits. Advances in Water Resources, 102, 178–187, doi:10.1016/j.advwatres.2017.01.004, 2017. Peylin, P., C. Bacour, N. MacBean, S. Leonard, P. J. Rayner, S. Kuppel, E. Koffi, A. Kane, F. Maignan, F. Chevallier, P. Ciais, and P. Prunet : A new step-wise Carbon Cycle Data Assimilation System using multiple data streams to constrain the simulated land surface carbon cycle. Geoscientific Model Development, 9, 3321–3346, doi:10.5194/gmd-9-3321-2016, 2016. Kuppel, S., J. Houspanossian, M.D. Nosetto, and E.G. Jobbágy : What does it take to flood the Pampas ?: Lessons from a decade of strong hydrological fluctuations. Water Resources Research, 51, 2937–2950, doi:10.1002/2015WR016966, 2015. Kuppel, S., P. Peylin, F. Maignan, F. Chevallier, G. Kiely, L. Montagnani, and A. Cescatti : Model–data fusion across ecosystems : from multi-site optimizations to global simulations. Geoscientific Model Development, 7, 2581–2597, doi:10.5194/gmd-7-2581-2014, 2014. Kuppel, S., F. Chevallier, and P. Peylin : Quantifying the model structural error in Carbon Cycle Data Assimilation Systems. Geoscientific Model Development, 6, 45–55, doi:10.5194/gmd-6-45-2013, 2013. Kameyama, N., T. Fukuyama, S. Wada, S. Kuppel, K. Tsumori, H. Nakano et al. : Analysis of the H- ion emissive surface in the extraction region of negative ion sources. Review of Scientific Instruments, 83 (2), 02A721, doi:10.1063/1.3673495, 2012. Kuppel, S., P. Peylin, F. Chevallier, C. Bacour, F. Maignan, and A.D. Richardson: Constraining a global ecosystem model with multi-site eddy-covariance data. Biogeosciences, 9, 3757–3776, doi:10.5194/bg-9-3757-2012, 2012. Kuppel, S., D. Matsushita, A. Hatayama, and M. Bacal : Numerical analysis of electronegative plasma in the extraction region of negative hydrogen ion sources. Journal of Applied Physics, 109(1), 013305, doi:10.1063/1.3530454, 2011. Wada, S., S. Kuppel, T. Fukuyama, K. Miyamoto, A. Hatayama, and M. Bacal : Numerical analysis of the extraction of volume produced negative hydrogen ions in the extraction region of negative ion source, AIP Conference Proceedings, 1390 (1), 58-67, doi:10.1063/1.3637375, 2011. Kuppel, S., D. Matsushita, A. Hatayama, and M. Bacal : Influence of the electron cross-field diffusion in negative ion sources with the transverse magnetic field and the plasma-electrode bias, Review of Scientific Instruments, 81, 02B503, doi:10.1063/1.3259165, 2010. Zani, L., P.-E. Gille, C. Gonzales, S. Kuppel, and A. Torre: Code development and validation towards modeling and diagnosing current redistribution in an ITER-type superconducting cable subject to current imbalance, Fusion Science and Technology, 56(2), 690–694, doi:10.13182/FST09-A8989 , 2009. Matsushita, D., S. Kuppel, A. Hatayama, and M. Bacal : Modeling of the Plasma Electrode Bias in the Negative Ion Sources with 1D PIC Method. AIP Conference Proceedings, 1097, 38–46, doi:10.1063/1.3112536, 2009. Kuppel, S., D. Matsushita, A. Hatayama, and M. Bacal : Numerical analysis of electronegative plasma near the extraction grid in negative ion sources. AIP Conference Proceedings, 1097, 55–64, doi:10.1063/1.3112549, 2009.
Tracer-informed critical zone modelling to connect water ages with hydrological resources and solute exports [link], France-Berkely Fund, 2021-2022. DAWA: DAting and tracking underground WAter pathways in a semi-arid agrosystem of the Indian critical zone, CNRS / EC2CO, 2025-2027.