Dr. Sebastian Müller
Kontakt
Dr. Sebastian Müller
Model keeper
Department Hydrosystemmodellierung (CHS)
Helmholtz-Zentrum
für Umweltforschung - UFZ
Permoserstr. 15, 04318 Leipzig
Das GeoStat-Framework
Das GeoStat-Framework - Dein geostatistisches Model in Python!
Forschungsschwerpunkte
Ich entwickle verschiedene Hydrowissenschaftliche Software. Ich habe das GeoStat-Framework gegründet und bin Model-Keeper des hydrologischen Models mHM.
Vergangene Projekte
Bestimmung von statistischen Parametern heterogener Aquifere aus PumptestdatenAkademischer Werdegang
seit 10/2019
Model keeper im Department CHS am UFZ
09/2018
Forschungsaufenthalt an der KTH in Stockholm. In Kooperation mit Vladimir Cvetkovic.
seit 10/2016
Doktorand im Department CHS am UFZ und Stipendiat bei der Deutschen Bundestiftung Umwelt link
10/2015 - 09/2016
Wissenschaftliche Hilfskraft im Department CHS am Helmholtz-Zentrum für Umweltforschung - UFZ
04/2014 - 09/2015
10/2011 - 03/2016
Tutor an der mathematischen Fakultät der Universität Leipzig im Fachbereich Analysis
10/2009 - 09/2015
Studium der Mathematik mit Nebenfach Informatik an der Universität Leipzig
Kooperationen
KTH Stockholm
Institut: Resources, Energy and Infrastructure
Adresse: Teknikringen 10B, 11428 Stockholm
Partner: Vladimir Cvetkovic, Liangchao Zou
Projekt: Effektive Beschreibung und Analyse stochastischer Kluftnetzwerke und Pumpversuche in fraktalen Medien.
Publikationen
Müller, S., Lange, M., Fischer, T., König, S., Kelbling, M., Leal Rojas, J. J., Thober, S. (2025)
FINAM is not a model (v1.0): a new Python-based model coupling framework.
Geoscientific Model Development, 18, 4483–4498
https://doi.org/10.5194/gmd-18-4483-2025
Heße, F., Müller, S., Attinger, S. (2024)
Data-driven estimates for the geostatistical characterization of subsurface hydraulic properties.
Hydrology and Earth System Sciences, 28, 357–374
https://doi.org/10.5194/hess-28-357-2024
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 Publikationen
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
Konferenzbeiträge
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.