Dipl. Math. Sebastian Müller


Dipl. Math. Sebastian Müller

Model keeper

Hydro-Scientific Software Development (HSD)
Department Computational Hydrosystems (CHS)
Helmholtz Centre for Environmental Research – UFZ
Permoserstr. 15, 04318 Leipzig - Germany


Sebastian Müller

The GeoStat-Framework

The GeoStat-Framework The GeoStat-Framework - Create your geostatistical model in Python!

Research Interests

I am developing software tools for hydro-scientific applications. I founded the GeoStat-Framework and act as a model-keeper for mHM.

Former projects

Determining statistical parameters of aquifer heterogeneity from pumping test data

Scientific Career

since 10/2019

Model keeper at the Department CHS at the UFZ


Research stay at the KTH university in Stockholm. In co-operation with Vladimir Cvetkovic.

since 10/2016

PhD-Student at the Department CHS at the UFZ and scholarship holder of the German Federal Environmental Foundation link

10/2015 - 09/2016

Research Assistant in the Department CHS at the Helmholtz Centre for Environmental Research - UFZ

04/2014 - 09/2015

Student Assistant in the Department CHS at the Helmholtz Centre for Environmental Research - UFZ

10/2011 - 03/2016

Tutor at the Faculty of Mathematics at the University of Leipzig

10/2009 - 09/2015

Studies of Mathematics and Informatics at the University of Leipzig


KTH Stockholm
Institute: Resources, Energy and Infrastructure
Address: Teknikringen 10B, 11428 Stockholm
Partner: Vladimir Cvetkovic, Liangchao Zou

Project: Effective description and analysis of stochastic discrete fracture networks (DFN) and pumping tests in fractal media.


Müller, S., Schüler, L., Zech, A., Heße, F. (2022)
GSTools v1.3: a toolbox for geostatistical modelling in Python.
Geoscientific Model Development, 15, 3161–3182

Schweppe, R., Thober, S., Müller, S., Kelbling, M., Kumar, R., Attinger, S., Samaniego, L. (2022)
MPR 1.0: a stand-alone multiscale parameter regionalization tool for improved parameter estimation of land surface models
Geoscientific Model Development, 15, 859–882

Marx, A., Boeing, F., Rakovec, O., Müller, S., Can, Ö., Malla, C., Peichl, M., Samaniego, L. (2021)
Auswirkungen des Klimawandels auf Wasserbedarf und -dargebot
Wasserwirtschaft 111(11):14-19

Müller, S., Heße, F., Attinger, S., Zech, A. (2021)
The extended generalized radial flow model and effective conductivity for truncated power law variograms.
Advances in Water Resources 156:104027

Müller, S., Leven, C., Dietrich, P., Attinger, S., Zech, A. (2021)
How to Find Aquifer Statistics Utilizing Pumping Tests? Two Field Studies Using welltestpy.
Groundwater, 60: 137-144

Müller, S., Zech, A., Heße, F. (2020)
ogs5py: A Python-API for the OpenGeoSys 5 Scientific Modeling Package.
Groundwater, 59: 117-122

Müller, S. (2019)
pentapy: A Python toolbox for pentadiagonal linear systems.
Journal of Open Source Software, 4(42), 1759

Zech, A., Müller, S., Mai, J., Heße, F., & Attinger, S. (2016)
Extending theis’ solution: Using transient pumping tests to estimate parameters of aquifer heterogeneity.
Water Resources Research 52, 6156–617

Müller, S. (2015)
Eine erweiterte Theis-Lösung: Berechnung und Implementierung einer Lösung der transienten Grundwassergleichung unter Berücksichtigung von Heterogenität im Coarse-Graining Modell.
Diplomarbeit, Universität Leipzig.

Software Publications

Müller, S., Schüler, L.: GeoStat-Framework/GSTools
Zenodo, 2018-now. https://doi.org/10.5281/zenodo.1313628

Müller, S.: GeoStat-Framework/ogs5py
Zenodo, 2018-now. https://doi.org/10.5281/zenodo.2546767

Müller, S.: GeoStat-Framework/AnaFlow
Zenodo, 2018-now. https://doi.org/10.5281/zenodo.1135723

Müller, S., Herrmann, J.: GeoStat-Framework/welltestpy
Zenodo, 2018-now. https://doi.org/10.5281/zenodo.1229051

Müller, S.: GeoStat-Framework/pentapy
Zenodo, 2019-now. https://doi.org/10.5281/zenodo.2587158

Murphy, B., Müller, S., Yurchak, R.: GeoStat-Framework/PyKrige
Zenodo, 2019-now. https://doi.org/10.5281/zenodo.3738604

mHM Developers: mhm-ufz/basinex
Zenodo, 2022-now. https://doi.org/10.5281/zenodo.6025795

mHM Developers: The Soil Moisture Index program - SMI
Zenodo, 2022-now. https://doi.org/10.5281/zenodo.6023024

mHM Developers: mesoscale Hydrologic Model - mHM
Zenodo, 2019-now. https://doi.org/10.5281/zenodo.1069202

Mälicke, M., Hugennet, R., Schneider, H. D., Müller, S., Möller, E., Van de Wauw, J.: mmaelicke/scikit-gstat: A scipy flavoured geostatistical variogram analysis toolbox
Zenodo, 2021-now. https://doi.org/10.5281/zenodo.1345584

Murray S., Müller S., Poulin F. J., Zaslavsky D., Bazán, J., Niemeyer, K.: steven-murray/hankel
Zenodo, 2018-now. http://dx.doi.org/10.5281/zenodo.1336791

Müller, S.: MuellerSeb/mlabtex: Mighty Mug
Zenodo, 2019-now. https://doi.org/10.5281/zenodo.3380567

Conference Contributions

Müller, S., Schüler, L., Zech, A., and Heße, F.: The GeoStat-Framework: Create your geostatistical model in Python!, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8167, https://doi.org/10.5194/egusphere-egu22-8167, 2022.

Boeing, F., Rakovec, O., Kumar, R., Samaniego, L., Schrön, M., Hildebrandt, A., Rebmann, C., Thober, S., Müller, S., Zacharias, S., Bogena, H., Schneider, K., Kiese, R., and Marx, A.: High resolution soil drought simulations evaluated at an unprecedented broad-range of soil moisture networks in Germany, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11356, https://doi.org/10.5194/egusphere-egu22-11356, 2022.

Thober, S., Samaniego, L., Müller, S., Shrestha, P., Kelbling, M., Rakovec, O., Boeing, F., Marx, A., Kumar, R., and Attinger, S.: Hyperresolution Global Operational Hydrological Modelling and Forecasting: enhancing reproducability, skill and workflows setup , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3529, https://doi.org/10.5194/egusphere-egu22-3529, 2022.

Rakovec, O., Kaluza, M., Kumar, R., Schweppe, R., Shrestha, P., Thober, S., Müller, S., Attinger, S., and Samaniego, L.: Advancements in the mesoscale Hydrologic Model at the global scale, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-15869, https://doi.org/10.5194/egusphere-egu21-15869, 2021.

Müller, S., Zech, A., Leven, C., Dietrich, P., and Attinger, S.: Where to find aquifer statistics utilizing pumping tests? Two field studies using welltestpy., AGU Fall Meeting 2020, Online, 1–17 December 2020, H195-0021, https://agu.confex.com/agu/fm20/meetingapp.cgi/Paper/692507, 2020.

Müller, S., Schüler, L., Zech, A., Attinger, S., and Heße, F.: GSTools: The Python toolbox for your geo-statistical project!, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10104, https://doi.org/10.5194/egusphere-egu2020-10104, 2020.

Najafi, H., Thober, S., Boeing, F., Rakovec, O., Kelbling, M., Müller, S., Marx, A., and Samaniego, L.: A Real-time Ensemble Hydrological Forecasting System over Germany at Sub-seasonal to Seasonal Time Range, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9773, https://doi.org/10.5194/egusphere-egu2020-9773, 2020.

Heße, F., Isachsen, L., Müller, S., and Sabine, A.: Bayesian Analysis of the Data Worth of Pumping Tests Using Informative Prior Distributions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8510, https://doi.org/10.5194/egusphere-egu2020-8510, 2020.

Müller, S., Schüler, L., Zech, A., Attinger, S., and Heße, F.: GeoStat Framework: Create your geo-statistical model with Python!, EGU General Assembly 2019, Vienna, 7–12 April 2019, EGU2019-10159, 2019.

Müller, S., Schüler, L., Heße, F., Zech, A., and Attinger, S.: Python Framework for geostatistical simulation: Subsurface Applications, CMWR 2018, Saint-Malo, 3–7 June 2018, CMWR2018-262, 2018.

Müller, S., Zech, A., Heße, F., and Attinger, S.: Extending Theis’ solution to incorporate heterogeneity into pumping test analysis, EGU General Assembly 2017, Vienna, 23–28 April 2017, EGU2019-10159, 2017.