Eric Laloy

Person

Laloy, Eric

  • Engineered and Geosystems Analysis

Person: Employee

  1. 2015
  2. Unsaturated flow modeling with HYDRUS and UZF: calibration and intercomparison.

    Leterme, B., Gedeon, M., Laloy, E. & Rogiers, B., Jun 2015, MODFLOW and More 2015: Modeling a Complex World. Proceedings. United States, p. 48-52

    Research output: Contribution to report/book/conference proceedingsIn-proceedings paperpeer-review

  3. Bayesian inversions of a dynamic vegetation model at four European grassland sites

    Minet, J., Laloy, E., Tychon, B. & François, L., May 2015, In: Biogeosciences. 12, 9, p. 2809-2829

    Research output: Contribution to journalArticlepeer-review

  4. 2014
  5. Inorganic carbon fluxes across the vadose zone of planted and unplanted soil mesocosms

    Thaysen, E. M., Jacques, D., Jessen, S., Andersen, C. E., Laloy, E., Ambus, P., Postma, D. & Jakobsen, I., Dec 2014, In: Biogeosciences. 11, 24, p. 7179-7192

    Research output: Contribution to journalArticlepeer-review

  6. Effects of Lime and Concrete Waste on Vadose Zone Carbon Cycling

    Thaysen, E. M., Jessen, S., Postma, D., Jakobsen, R., Jacques, D., Ambus, P., Laloy, E. & Jakobsen, I., Nov 2014, In: Vadose Zone Journal. 13, 11, p. 1-11

    Research output: Contribution to journalArticlepeer-review

  7. High-resolution moisture profiles from full-waveform probabilistic inversion of TDR signals

    Laloy, E., Huisman, J. A. & Jacques, D., Nov 2014, In: Journal of Hydrology. 519, Part B, p. 2121-2135

    Research output: Contribution to journalArticlepeer-review

  8. Reply to comment by Chu et al. on ‘‘High-dimensional posterior exploration of hydrologic models using multiple-try DREAM (ZS) and high-performance computing’’

    Vrugt, J. A. & Laloy, E., Mar 2014, In: Water Resources Research. 50, 3, p. 2781-2786

    Research output: Contribution to journalArticlepeer-review

  9. 2013
  10. CO2 fluxes to aquifers beneath cropland:merging measurements and modeling

    Thaysen, E. M., Jacques, D. & Laloy, E., Jul 2013, Proceedings of the 4th International Conference HYDRUS Software Applications to Subsurface Flow and Contaminant Transport Problems. Prague, Czech Republic, p. 355-363

    Research output: Contribution to report/book/conference proceedingsIn-proceedings paperpeer-review

  11. Efficient posterior exploration of a high-dimensional groundwater model from two-stage Markov chain Monte Carlo simulation and polynomial chaos expansion

    Laloy, E., Rogiers, B., Vrugt, J. A., Mallants, D. & Jacques, D., May 2013, In: Water Resources Research. 49, 5, p. 2664-2682

    Research output: Contribution to journalArticlepeer-review

  12. 2012
  13. Parameterizing a dynamic architectural model of the root system of spring barley from minirhizotron data

    Garré, S., Pagès, L., Laloy, E., Javaux, M., Vanderborght, J. & Vereecken, H., Nov 2012, In: Vadose Zone Journal. 11, 4, p. 1-17

    Research output: Contribution to journalArticlepeer-review

  14. Mass conservative three-dimensional water tracer distribution from Markov chain Monte Carlo inversion of time-lapse ground-penetrating radar data

    Laloy, E., Linde, N. & Vrugt, J. A., Jul 2012, In: Water Resources Research. 48, p. W07510-W07510

    Research output: Contribution to journalArticlepeer-review

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