Achieving high-quality probabilistic predictions from hydrological models calibrated with a wide range of objective functions-Reference-Cited by-同舟云学术

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Achieving high-quality probabilistic predictions from hydrological models calibrated with a wide range of objective functions

Published:2021-12 Issue: Volume:603 Page:126578
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Hunter Jason,Thyer Mark,McInerney David,Kavetski Dmitri

Funder

Bureau of Meteorology, Australian Government

University of Adelaide

Australian Government Department of Education Skills and Employment

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference89 articles.

1. A likelihood framework for deterministic hydrological models and the importance of non-stationary autocorrelation;Ammann;Hydrol. Earth Syst. Sci.,2019

2. The skill of ensemble prediction systems;Atger;Monthly Weather Rev.,1999

3. Effective modeling for Integrated Water Resource Management: A guide to contextual practices by phases and steps and future opportunities;Badham;Environ. Model. Softw.,2019

4. Australian Rainfall and Runoff: A guide to flood estimation;Ball,2016

5. A Markov chain Monte Carlo scheme for parameter estimation and inference in conceptual rainfall-runoff modeling;Bates;Water Resour. Res.,2001

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