Dipl. Math. Sebastian Müller

Contact

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.mueller@ufz.de

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

09/2018

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


Co-operations

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.


Publications

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
https://doi.org/10.5194/gmd-15-3161-2022

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
https://doi.org/10.5194/gmd-15-859-2022

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
https://doi.org/10.1007/s35147-021-0905-5

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
https://doi.org/10.1016/j.advwatres.2021.104027

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
https://doi.org/10.1111/gwat.13121

Müller, S., Zech, A., Heße, F. (2020)
ogs5py: A Python-API for the OpenGeoSys 5 Scientific Modeling Package.
Groundwater, 59: 117-122
https://doi.org/10.1111/gwat.13017

Müller, S. (2019)
pentapy: A Python toolbox for pentadiagonal linear systems.
Journal of Open Source Software, 4(42), 1759
https://doi.org/10.21105/joss.01759

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
https://doi.org/10.1002/2015WR018509

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.
https://doi.org/10.13140/RG.2.2.34074.24002


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.