2022 - Research.com Earth Science in Switzerland Leader Award
His primary areas of investigation include Hydrology, Hydrology, Surface runoff, Climatology and Drainage basin. His study in Hydrology is interdisciplinary in nature, drawing from both Soil science and Riparian zone. His Hydrology research integrates issues from Land use, land-use change and forestry, Streamflow, Water resources, Spatial ecology and Spatial distribution.
His Surface runoff research incorporates elements of Calibration and Monte Carlo method. The concepts of his Climatology study are interwoven with issues in Climate change, Climate model and Downscaling. His Climate model study deals with Bias correction intersecting with Large deviations theory.
Jan Seibert mainly focuses on Hydrology, Surface runoff, Hydrology, Streamflow and Drainage basin. The Hydrology study combines topics in areas such as Snow, Soil water and Riparian zone. His research in Surface runoff intersects with topics in Atmospheric sciences and Spatial variability.
His Hydrology study combines topics from a wide range of disciplines, such as Flow and Hydrological modelling. The various areas that Jan Seibert examines in his Streamflow study include Climatology, Calibration, Climate change, Precipitation and Hydrograph. His Climatology study incorporates themes from Downscaling, Climate model and Bias correction.
His scientific interests lie mostly in Streamflow, Hydrology, Hydrology, Surface runoff and Precipitation. His work deals with themes such as Calibration, Citizen science, Meteorology, Water resources and Synthetic data, which intersect with Streamflow. In his study, Isotope analysis and Rainwater harvesting is inextricably linked to Isotopic composition, which falls within the broad field of Hydrology.
Jan Seibert interconnects Glacier and Water level in the investigation of issues within Hydrology. His study looks at the relationship between Surface runoff and fields such as Snow, as well as how they intersect with chemical problems. Jan Seibert has included themes like Runoff model, Climatology, Climate model, Atmospheric sciences and Arid in his Precipitation study.
Jan Seibert spends much of his time researching Hydrology, Streamflow, Surface runoff, Precipitation and Flood myth. His Hydrology research is multidisciplinary, relying on both Digital media and Public consultation. His work carried out in the field of Streamflow brings together such families of science as Calibration, Citizen science and Data science.
His Surface runoff research includes themes of Physical geography, Atmospheric sciences, Hydrology and Spatial variability. His studies deal with areas such as Drainage basin, Climate model and Hydrological modelling as well as Precipitation. His Climate model research incorporates themes from Climatology, Mesoscale meteorology and Catchment hydrology.
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Bias correction of regional climate model simulations for hydrological climate-change impact studies: Review and evaluation of different methods
Claudia Teutschbein;Jan Seibert;Jan Seibert;Jan Seibert.
Journal of Hydrology (2012)
On the calculation of the topographic wetness index: evaluation of different methods based on field observations
Rasmus Sörensen;Ursula Zinko;Jan Seibert.
Hydrology and Earth System Sciences (2005)
The role of topography on catchment-scale water residence time
K.J. McGuire;K.J. McGuire;Jeffery J. McDonnell;M. Weiler;C. Kendall.
Water Resources Research (2005)
On the dialog between experimentalist and modeler in catchment hydrology: Use of soft data for multicriteria model calibration
Jan Seibert;Jeffrey J. McDonnell.
Water Resources Research (2002)
Regionalisation of parameters for a conceptual rainfall-runoff model.
Agricultural and Forest Meteorology (1999)
Teaching hydrological modeling with a user-friendly catchment-runoff-model software package
Jan Seibert;Jan Seibert;Jan Seibert;Marc J P Vis.
Hydrology and Earth System Sciences (2012)
A new triangular multiple flow direction algorithm for computing upslope areas from gridded digital elevation models
Jan Seibert;Brian L. McGlynn.
Water Resources Research (2007)
Prediction uncertainty of conceptual rainfall-runoff models caused by problems in identifying model parameters and structure
Stefan Uhlenbrook;Jan Seibert;Christian Leibundgut;Allan Rodhe.
Hydrological Sciences Journal-journal Des Sciences Hydrologiques (1999)
Multi-criteria calibration of a conceptual runoff model using a genetic algorithm
Hydrology and Earth System Sciences (2000)
Resolving the Double Paradox of rapidly mobilized old water with highly variable responses in runoff chemistry
Kevin Bishop;Jan Seibert;Stephan Jürgen Köhler;Hjalmar Laudon.
Hydrological Processes (2004)
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