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Matthias Pfannerstill

Observed names: M Pfannerstill, M. Pfannerstill, Pfannerstill, Matthias
ORCID: 0000-0003-1839-8515
Observed ORCID: 0000-0003-1839-8515
OpenAlex ID: A5091765929
Smart low flow signature metrics for an improved overall performance evaluation of hydrological models
2014 · Matthias Pfannerstill, Björn Guse, et al. · Journal of Hydrology · 226
A multi‐storage groundwater concept for the SWAT model to emphasize nonlinear groundwater dynamics in lowland catchments
2013 · Matthias Pfannerstill, Björn Guse, et al. · Hydrological Processes · 104
How to Constrain Multi‐Objective Calibrations of the SWAT Model Using Water Balance Components
2017 · Matthias Pfannerstill, Katrin Bieger, et al. · JAWRA Journal of the American Water Resources Association · 63
Process verification of a hydrological model using a temporal parameter sensitivity analysis
2015 · M. Pfannerstill, B. Guse, et al. · Hydrology and earth system sciences · 63
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Dynamic Modelling of Land Use Change Impacts on Nitrate Loads in Rivers
2015 · Björn Guse, Matthias Pfannerstill, et al. · Environmental Processes · 63
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On characterizing the temporal dominance patterns of model parameters and processes
2015 · Björn Guse, Matthias Pfannerstill, et al. · Hydrological Processes · 59
A joined multi-metric calibration of river discharge and nitrate loads with different performance measures
2016 · Marcelo B. Haas, Björn Guse, et al. · Journal of Hydrology · 54
Lentic small water bodies: Variability of pesticide transport and transformation patterns
2017 · Uta Ulrich, Georg Hörmann, et al. · The Science of The Total Environment · 53
How weather conditions and physico-chemical properties control the leaching of flufenacet, diflufenican, and pendimethalin in a tile-drained landscape
2019 · Sandra Willkommen, Matthias Pfannerstill, et al. · Agriculture Ecosystems & Environment · 50
Demasking the integrated information of discharge: Advancing sensitivity analysis to consider different hydrological components and their rates of change
2016 · Björn Guse, Matthias Pfannerstill, et al. · Water Resources Research · 46
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Identifying the connective strength between model parameters and performance criteria
2017 · Björn Guse, Matthias Pfannerstill, et al. · Hydrology and earth system sciences · 43
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Field insights into leaching and transformation of pesticides and fluorescent tracers in agricultural soil
2020 · Sandra Willkommen, Jens Lange, et al. · The Science of The Total Environment · 40
Assessing parameter identifiability for multiple performance criteria to constrain model parameters
2020 · Björn Guse, Jens Kiesel, et al. · Hydrological Sciences Journal · 37
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Improving hydrological model optimization for riverine species
2017 · Jens Kiesel, Björn Guse, et al. · Ecological Indicators · 35
Omnipresent distribution of herbicides and their transformation products in all water body types of an agricultural landscape in the North German Lowland
2021 · Uta Ulrich, Matthias Pfannerstill, et al. · Environmental Science and Pollution Research · 34
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Analysing spatio-temporal process and parameter dynamics in models to characterise contrasting catchments
2019 · Björn Guse, Matthias Pfannerstill, et al. · Journal of Hydrology · 29
Detection of dominant nitrate processes in ecohydrological modeling with temporal parameter sensitivity analysis
2015 · Marcelo B. Haas, Björn Guse, et al. · Ecological Modelling · 27
Reactive ditches: A simple approach to implement denitrifying wood chip bioreactors to reduce nitrate exports into aquatic ecosystems?
2016 · Matthias Pfannerstill, Insa Kühling, et al. · Environmental Earth Sciences · 23
Hydrological tracers, the herbicide metazachlor and its transformation products in a retention pond during transient flow conditions
2019 · Uta Ulrich, Jens Lange, et al. · Environmental Science and Pollution Research · 11
Improving Information Extraction From Simulated Discharge Using Sensitivity‐Weighted Performance Criteria
2020 · B. Guse, M. Pfannerstill, et al. · Water Resources Research · 9
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Gain and retain - On the efficiency of modified agricultural drainage ponds for pesticide retention
2022 · Sandra Willkommen, Jens Lange, et al. · The Science of The Total Environment · 8
PondR: a process-oriented model to simulate the hydrology of drainage ponds
2017 · Sandra Willkommen, Matthias Pfannerstill, et al. · Journal of Hydroinformatics · 7
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Modelling of hydrological processes in snowmelt-governed permafrost-free catchments of the Western Siberian lowlands
2018 · Jens Kiesel, Matthias Pfannerstill, et al. · International Journal of Hydrology Science and Technology · 1
Modelling of hydrological processes in snowmelt-governed permafrost-free catchments of the Western Siberian Lowlands
2017 · Nicola Fohrer, Tatyana Veshkurseva, et al. · International Journal of Hydrology Science and Technology · 1
A guideline for hydrologically consistent models
2015 · Matthias Pfannerstill · Multimedialen Archiv und Publikationsserver der Christian-Albrechts-Universität zu Kiel (Christian-Albrechts-Universität zu Kiel) · 1
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Works count: 61
Citation count: 1,094
H-index: 18
I10-index: 19
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