S. Gharari

发表

Twenty-three unsolved problems in hydrology (UPH) – a community perspective

M. P. González-Dugo, Ronald R. P. van Nooijen, Pablo Borges de Amorim, 2019, Hydrological Sciences Journal.

Hydrology and Earth System Sciences Hydrological Landscape Classification: Investigating the Performance of Hand Based Landscape Classifications in a Central European Meso-scale Catchment

H. Savenije, F. Fenicia, M. Hrachowitz, 2022 .

A constraint-based search algorithm for parameter identification of environmental models

H. Gupta, H. Savenije, F. Fenicia, 2014 .

Assessment of rain-gauge networks using a probabilistic GIS based approach

B. Saghafian, S. Pande, K. Davary, 2014 .

On the role of model structure in hydrological modeling: Understanding models

S. Gharari, 2016 .

Testing the realism of a topography driven model (FLEX-Topo) in the nested catchments of the Upper Heihe, China

Hubert H. G. Savenije, Fabrizio Fenicia, Hongkai Gao, 2013 .

Moving beyond traditional model calibration or how to better identify realistic model parameters: Sub-period calibration

H. Savenije, F. Fenicia, M. Hrachowitz, 2012 .

Using expert knowledge to increase realism in environmental system models can dramatically reduce the need for calibration

S. Gharari, H. H. G. Savenije, F. Fenicia, 2013 .

Accounting for the influence of vegetation and landscape improves model transferability in a tropical savannah region

H. Savenije, F. Fenicia, M. Hrachowitz, 2016 .

Using expert knowledge to increase realism in environmental system models can dramatically reduce the need for calibration

Hubert H. G. Savenije, Fabrizio Fenicia, Hongkai Gao, 2013 .

Sustainability assessment of water management at river basin level: Concept, methodology and application.

K. Davary, M. Shafiei, S. Gharari, 2022, Journal of environmental management.

Evaluating a reservoir parametrization in the vector-based global routing model mizuRoute (v2.0.1) for Earth system model coupling

D. Lawrence, S. Swenson, M. Clark, 2022, Geoscientific Model Development.

Great Lakes Runoff Intercomparison Project Phase 3: Lake Erie (GRIP-E).

T. Hunter, Yongping Yuan, S. Attinger, 2021, Journal of hydrologic engineering.

Machine Learning for Streamflow Prediction: Current Status and Future Prospects

Jimmy Lin, Juliane Mai, Martin Gauch, 2019 .

Bottom-up or top-down? Introducing constraints might be a way forward

Hoshin Vijai Gupta, S. Gharari, Fabrizio Fenicia, 2014 .

Improving the Representation of Subsurface Water Movement in Land Models

Jefferson S. Wong, M. Clark, A. Pietroniro, 2019 .

Assessing Water Balance Closure Using Multiple Data Assimilation and Remote Sensing-Based Datasets for Canada

Jefferson S. Wong, J. Famiglietti, Xuebin Zhang, 2021, Journal of Hydrometeorology.

VISCOUS: A Variance-Based Sensitivity Analysis Using Copulas for Efficient Identification of Dominant Hydrological Processes

R. Sheikholeslami, M. Clark, S. Gharari, 2020 .

Community Workflows to Advance Reproducibility in Hydrologic Modeling: Separating Model‐Agnostic and Model‐Specific Configuration Steps in Applications of Large‐Domain Hydrologic Models

Andrew R. Bennett, R. Spiteri, D. Tarboton, 2021, Water Resources Research.

Urban morphology detection and it's linking with land surface temperature: A case study for Tehran Metropolis, Iran.

J. Verrelst, S. Gharari, M. Mirzaei, 2021, Sustainable cities and society.

Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data

Hubert H. G. Savenije, Martyn P. Clark, Patrick Matgen, 2021, Water Resources Research.

Flexible vector-based spatial configurations in land models

Alain Pietroniro, Martyn P. Clark, Naoki Mizukami, 2020, Hydrology and Earth System Sciences.

Process consistency in models: The importance of system signatures, expert knowledge, and process complexity

Hubert H. G. Savenije, Hubert H. G. Savenije, Jim Freer, 2014 .

Advancing Process Representation in Hydrological Models: Integrating New Concepts, Knowledge, and Data

Lieke A. Melsen, Shervan Gharari, Björn Guse, 2021, Water Resources Research.

VISCOUS: A Variance‐Based Sensitivity Analysis Using Copulas for Efficient Identification of Dominant Hydrological Processes

R. Sheikholeslami, M. Clark, S. Gharari, 2021, Water Resources Research.

Evaluating a reservoir parametrisation in the vector-based global routing model mizuRoute (v2.0.1) for Earth System Model coupling

D. Lawrence, S. Swenson, M. Clark, 2022 .

Martyn P. Clark, Richard M. Vogel, Paul H. Whitfield, 2021 .

Land classification based on hydrological landscape units

H. Savenije, F. Fenicia, M. Hrachowitz, 2011 .

The Impact of Meteorological Forcing Uncertainty on Hydrological Modeling: A Global Analysis of Cryosphere Basins

M. Clark, A. Wood, H. Beck, 2023, Water Resources Research.

A review and synthesis of hysteresis in hydrology and hydrological modeling: Memory, path-dependency, or missing physics?

S. Razavi, S. Gharari, 2018, Journal of Hydrology.

A Vector‐Based River Routing Model for Earth System Models: Parallelization and Global Applications

Dai Yamazaki, M. Clark, M. Pan, 2021, Journal of Advances in Modeling Earth Systems.

An approach to identify time consistent model parameters: sub-period calibration

Hubert H. G. Savenije, Fabrizio Fenicia, Markus Hrachowitz, 2013 .

Exploring the provenance of information across 1 Canadian hydrometric stations: Implications for 2 discharge estimation and uncertainty quantification

P. Whitfield, M. Clark, J. Freer, 2023 .

EASYMORE: A Python package to streamline the remapping of variables for Earth System models

S. Gharari, W. Knoben, Martyn P. Clark, 2023, SoftwareX.