References

Pastas is built on a lot of scientific literature. Here the references are listed for all the methods implemented in Pastas. This list is automatically generated from a public Zotero library (collection References). For a list of publications using Pastas we refer to the Publications page of this website.

Aka74

H. Akaike. A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6):716–723, December 1974. doi:10.1109/TAC.1974.1100705.

Aka79

H. Akaike. A Bayesian extension of the minimum AIC procedure of autoregressive model fitting. Biometrika, 66(2):237–242, August 1979. URL: http://biomet.oxfordjournals.org/content/66/2/237, doi:10.1093/biomet/66.2.237.

BHvGG06

W. L. Berendrecht, A. W. Heemink, F. C. van Geer, and J. C. Gehrels. A non-linear state space approach to model groundwater fluctuations. Advances in Water Resources, 29(7):959–973, July 2006. URL: http://www.sciencedirect.com/science/article/pii/S0309170805002113, doi:10.1016/j.advwatres.2005.08.009.

BM13

J. P. Bloomfield and B. P. Marchant. Analysis of groundwater drought building on the standardised precipitation index approach. Hydrology and Earth System Sciences, 17(12):4769–4787, 2013. URL: https://hess.copernicus.org/articles/17/4769/2013/, doi:10.5194/hess-17-4769-2013.

Bru99

G. A. Bruggeman. Analytical solutions of geohydrological problems. Volume Eq. 123.32. Elsevier, Amsterdam, 1999.

CBKB21

R. A. Collenteur, M. Bakker, G. Klammler, and S. Birk. Estimation of groundwater recharge from groundwater levels using nonlinear transfer function noise models and comparison to lysimeter data. Hydrology and Earth System Sciences, 25(5):2931–2949, 2021. location=Austria. URL: https://hess.copernicus.org/articles/25/2931/2021/, doi:10.5194/hess-25-2931-2021.

Ede47

J. H. Edelman. Over de berekening van grondwaterstroomingen (About the calculation of groundwater flow). PhD thesis, Delft University of Technology Delft, The Netherlands, 1947.

KK07

D. Kavetski and G. Kuczera. Model smoothing strategies to remove microscale discontinuities and spurious secondary optima in objective functions in hydrological calibration. Water Resources Research, March 2007. Publisher: John Wiley & Sons, Ltd. URL: https://doi.org/10.1029/2006WR005195, doi:10.1029/2006WR005195.

KFP12

H. Kling, M. Fuchs, and M. Paulin. Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios. Journal of Hydrology, 424-425:264 – 277, 2012. URL: http://www.sciencedirect.com/science/article/pii/S0022169412000431, doi:https://doi.org/10.1016/j.jhydrol.2012.01.011.

KG99

M. Knotters and J. G. De Gooijer. TARSO modeling of water table depths. Water Resources Research, 35(3):695–705, 1999. URL: https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/1998WR900049, doi:10.1029/1998WR900049.

NS70

J. E. Nash and J. V. Sutcliffe. River flow forecasting through conceptual models part I—A discussion of principles. Journal of hydrology, 10(3):282–290, 1970. Publisher: Elsevier.

OBM19

C. Obergfell, M. Bakker, and K. Maas. Identification and explanation of a change in the groundwater regime using time series analysis. Groundwater, April 2019. URL: https://onlinelibrary.wiley.com/doi/abs/10.1111/gwat.12891, doi:10.1111/gwat.12891.

PW14

T. J. Peterson and A. W. Western. Nonlinear time-series modeling of unconfined groundwater head. Water Resources Research, 50(10):8330–8355, October 2014. URL: http://onlinelibrary.wiley.com/doi/10.1002/2013WR014800/abstract, doi:10.1002/2013WR014800.

RMHK11

K. Rehfeld, N. Marwan, J. Heitzig, and J. Kurths. Comparison of correlation analysis techniques for irregularly sampled time series. Nonlin. Processes Geophys., 18(3):389–404, June 2011. URL: https://www.nonlin-processes-geophys.net/18/389/2011/, doi:10.5194/npg-18-389-2011.

VdL58

DA Kraijenhoff Van de Leur. A study of non-steady groundwater flow with special reference to a reservoir coefficient. De Ingenieur, 70(19):B87–B94, 1958.

VM10

E. J. M. Veling and K. Maas. Hantush Well Function revisited. Journal of Hydrology, 393(3):381–388, November 2010. URL: http://www.sciencedirect.com/science/article/pii/S0022169410005500, doi:10.1016/j.jhydrol.2010.08.033.

vAB05

J. R. von Asmuth and M. F. P. Bierkens. Modeling irregularly spaced residual series as a continuous stochastic process. Water Resources Research, 41(12):W12404, December 2005. URL: http://onlinelibrary.wiley.com/doi/10.1029/2004WR003726/abstract, doi:10.1029/2004WR003726.

vABM02

J. R. von Asmuth, M. F. P. Bierkens, and K. Maas. Transfer function-noise modeling in continuous time using predefined impulse response functions. Water Resources Research, 38(12):23–1–23–12, 2002. URL: https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2001WR001136, doi:10.1029/2001WR001136.

vAOB12

J. R. von Asmuth, T. N. Olsthoorn, and M. F. P. Bierkens. Groundwater System Identification through Time Series Analysis. March 2012. URL: http://resolver.tudelft.nl/uuid:b6ccd472-9b9d-4810-aa19-3a0b046017e0.