Understanding the Impact of Observation Data Uncertainty on Probabilistic Streamflow Forecasts Using a Dynamic Hierarchical Model-Reference-Cited by-同舟云学术

Understanding the Impact of Observation Data Uncertainty on Probabilistic Streamflow Forecasts Using a Dynamic Hierarchical Model

Published:2020-04 Issue:4 Volume:56 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Das Bhowmik Rajarshi¹^ORCID,Ng Tze Ling²^ORCID,Wang Jui‐Pin³

Affiliation:

1. Department of Civil Engineering Indian Institute of Science Bangalore India

2. Department of Civil and Environmental Engineering The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong. now at CSIRO Land and Water Clayton VIC Australia

3. Department of Civil Engineering National Central University Taiwan, Republic of China

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR025463

Reference49 articles.

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3. A manifesto for the equifinality thesis

4. Measuring flow in non-ideal conditions for short-term projects: Uncertainties associated with the use of stage-discharge rating curves

5. Climate information based streamflow and rainfall forecasts for Huai River basin using hierarchical Bayesian modeling

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