Brakenhoff, D.A. (2022). Application of time series analysis to estimate drawdown from multiple well fields
Vonk, M.A. (2022). Time Series Analysis of Synthetic Time Series created with an Variably Saturated Flow Model
Bakker, M. (2022). Estimation of parameter uncertainty - How to deal with noisy neighbors?
Schaars, F. (2022). Time Series Analysis and Groundwater Models - Best Friends Forever?
Collenteur, R.A. (2022). On the application of time series models in the groundwater modeling workflow: a case study from Austria
Wang, J. (2022). Application of Time-Series Analysis to Quantify Hydraulic Influence of a Pump and Treat System to Help Assess Capture
Franken, T. (2022). A regional data driven model for simulating phreatic ground water levels in Flanders
Kokimova, A. (2022). Data-driven time series modeling to support groundwater model development for the Grazer Feld Aquifer, Austria
Jemeļjanova, M. (2022). Comparison of Impulse response function and Machine learning models for use in groundwater level short to medium term future projections in the Baltic states
Vonk, M.A. and Bakker M. (2022). Time series analysis of synthetic time series generated with a saturated/unsaturated zone model
Collenteur R.A. (2022). Analysis of nationwide groundwater monitoring networks using lumped groundwater models: a case study of Switzerland
Brakenhoff, D.A. (2022). Application of time series analysis to explore the feasibility of reducing extraction rates to mitigate groundwater declines during summer droughts: a case study in the Netherlands
Brakenhoff, D.A. (2021). Disentangling the Influence of Recharge, Rivers and Pumping on Groundwater Heads
Jemeljanova, M. (2021). Comparison of AquiMod and transfer function-noise models with impulse response functions for groundwater level modeling in Latvia
Kokimova, A. (2021). Forensic hydrology through time series modeling of groundwater levels: A case study of the Grazer Feld, Austria
Vonk, M.A., Schaars, F., Collenteur, R.A., Bakker, M. (2021). Nonlinear Unsaturated Zone Behaviour in Groundwater Time Series Analysis
Collenteur, R.A. (2021). Application of non-linear recharge models in transfer- function noise models: challenges and opportunities
Gustav R. M. (2021). Evaluation of Transfer Function Noise Modelling and Dimensionality Reduction Techniques for Karst Systems
Pezij, M., Augustijn, D. C. M., Hendriks, D. M. D., & Hulscher, S. J. M. H. (2019). Transfer Function‐Noise Modeling Using Remote Sensing Data to Characterize Soil Moisture Dynamics: a Data-driven Approach.
Collenteur, R.A., Bakker, M., Caljé, R., Klop, S.A. (2019). Untangling your spaghetti of time series: analysis of hydrogeological time series using Pastas.
Collenteur, R.A., Birk, S. (2019). Untangling effects of surface waters and recharge on groundwater head fluctuations with transfer-function-noise models: exploring possibilities and limitations using MODFLOW6.
Collenteur, R.A., Bakker, M., Caljé R. (2019). Hydrogeological time series analysis using scripts: objective and reproducible criteria for model construction
Bakker, M., Collenteur, R.A., Caljé, R., Schaars, F. (2018). Untangling groundwater head series using time series analysis and Pastas.