Jan Seibert

Jan Seibert

Universität Zürich

H-index: 80

Europe-Switzerland

About Jan Seibert

Jan Seibert, With an exceptional h-index of 80 and a recent h-index of 56 (since 2020), a distinguished researcher at Universität Zürich, specializes in the field of Catchment Hydrology, Hydrological Modelling, Hydrology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Evaluation of different precipitation and potential evapotranspiration time series for hydrological modeling in Australian catchments

What is more important for model calibration: information on the discharge dynamics or information on the discharge volume?

What is the monthly share of mountain water in lowland water abstractions?

Predicting annual base flow index and its trends using a large sample of dataset across the globe

A few hundred catchments later–lessons learned from modeling large catchment samples

EStreams: Building an integrated dataset of streamflow, hydro-climatic variables and landscape attributes for catchments in Europe

EStreams: An Integrated Dataset and Catalogue of Streamflow, Hydro-Climatic Variables and Landscape Descriptors for Europe

How well can people observe the flow state of temporary streams?

Jan Seibert Information

University

Position

___

Citations(all)

25345

Citations(since 2020)

11851

Cited By

18495

hIndex(all)

80

hIndex(since 2020)

56

i10Index(all)

221

i10Index(since 2020)

187

Email

University Profile Page

Google Scholar

Jan Seibert Skills & Research Interests

Catchment Hydrology

Hydrological Modelling

Hydrology

Top articles of Jan Seibert

Evaluation of different precipitation and potential evapotranspiration time series for hydrological modeling in Australian catchments

2024/3/7

Jan Seibert
Jan Seibert

H-Index: 50

What is more important for model calibration: information on the discharge dynamics or information on the discharge volume?

2024/3/7

Jan Seibert
Jan Seibert

H-Index: 50

What is the monthly share of mountain water in lowland water abstractions?

2024/3/7

Jan Seibert
Jan Seibert

H-Index: 50

Daniel Viviroli
Daniel Viviroli

H-Index: 22

Predicting annual base flow index and its trends using a large sample of dataset across the globe

2024/3/7

A few hundred catchments later–lessons learned from modeling large catchment samples

2024/3/7

Jan Seibert
Jan Seibert

H-Index: 50

EStreams: Building an integrated dataset of streamflow, hydro-climatic variables and landscape attributes for catchments in Europe

2024/3/7

Jan Seibert
Jan Seibert

H-Index: 50

Markus Hrachowitz
Markus Hrachowitz

H-Index: 35

EStreams: An Integrated Dataset and Catalogue of Streamflow, Hydro-Climatic Variables and Landscape Descriptors for Europe

2024/3/2

Jan Seibert
Jan Seibert

H-Index: 50

Markus Hrachowitz
Markus Hrachowitz

H-Index: 35

How well can people observe the flow state of temporary streams?

Frontiers in Environmental Science

2024/2/21

Jan Seibert
Jan Seibert

H-Index: 50

Are temporary stream observations useful for calibrating a lumped hydrological model?

Journal of Hydrology

2024/2/3

Jan Seibert
Jan Seibert

H-Index: 50

Getting your money's worth: Testing the value of data for hydrological model calibration

Hydrological Processes

2024/2

Jan Seibert
Jan Seibert

H-Index: 50

BioRT-HBV 1.0: a Biogeochemical Reactive Transport Model at the Watershed Scale

Authorea Preprints

2024/1/18

Jan Seibert
Jan Seibert

H-Index: 50

Li Li
Li Li

H-Index: 15

Ambient temperature and kidney function in primary care patients

Journal of Nephrology

2024/1

Jan Seibert
Jan Seibert

H-Index: 50

Assessment of the value of remotely sensed surface water extent data for the calibration of a lumped hydrological model

Water Resources Research

2023/11

Jan Seibert
Jan Seibert

H-Index: 50

Temporal and spatial variation in shallow groundwater gradients in a boreal headwater catchment

Journal of Hydrology

2023/11/1

Jan Seibert
Jan Seibert

H-Index: 50

Kevin Bishop
Kevin Bishop

H-Index: 46

Automatic water-level class estimation from repeated crowd-based photos of streams

Hydrological Sciences Journal

2023/10/3

Local‐and network‐scale influence of peatlands on boreal catchment response to rainfall events

Hydrological Processes

2023/10

When good signatures go bad: Applying hydrologic signatures in large sample studies

Hydrological Processes

2023/9

Citizen science approaches for water quality measurements

2023/7/9

Jan Seibert
Jan Seibert

H-Index: 50

Water observations by the public-experiences from the CrowdWater project

EGU General Assembly Conference Abstracts

2023/5

Jan Seibert
Jan Seibert

H-Index: 50

How consistent are citizens in their observation of temporary streams?

EGU General Assembly Conference Abstracts

2023/5

Jan Seibert
Jan Seibert

H-Index: 50

See List of Professors in Jan Seibert University(Universität Zürich)

Co-Authors

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