Advancing Process Representation in Hydrological Models: Integrating New Concepts, Knowledge, and Data-Reference-Cited by-同舟云学术

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

Published:2021-11 Issue:11 Volume:57 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resources Research

Author:

Guse Björn¹^ORCID,Fatichi Simone²^ORCID,Gharari Shervan³^ORCID,Melsen Lieke A.⁴^ORCID

Affiliation:

1. GFZ German Research Centre for Geosciences Section Hydrology Potsdam Germany

2. Department of Civil and Environmental Engineering National University of Singapore Singapore Singapore

3. Centre for Hydrology University of Saskatchewan Canmore AB Canada

4. Hydrology and Quantitative Water Management Wageningen University Wageningen The Netherlands

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021WR030661

Reference31 articles.

1. Predicting Shallow Groundwater Tables for Sloping Highland Aquifers

2. Improving Hydrological Models With the Assimilation of Crowdsourced Data

3. Improved Prediction of Management‐Relevant Groundwater Discharge Characteristics Throughout River Networks

4. A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies

5. Improving the theoretical underpinnings of process-based hydrologic models

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Guidance on large scale hydrologic model calibration with isotope tracers;Journal of Hydrology;2023-06

2. Large scale hydrologic and tracer aided modelling: A review;Journal of Hydrology;2023-03

3. Large-sample assessment of varying spatial resolution on the streamflow estimates of the wflow_sbm hydrological model;Hydrology and Earth System Sciences;2022-08-29

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