Inference of Parameters for a Global Hydrological Model: Identifiability and Predictive Uncertainties of Climate‐Based Parameters-Reference-Cited by-同舟云学术

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Inference of Parameters for a Global Hydrological Model: Identifiability and Predictive Uncertainties of Climate‐Based Parameters

Published:2022-02 Issue:2 Volume:58 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resources Research

Author:

Yoshida T.¹^ORCID,Hanasaki N.²^ORCID,Nishina K.²^ORCID,Boulange J.²^ORCID,Okada M.²,Troch P. A.³^ORCID

Affiliation:

1. Institute for Rural Engineering National Agriculture and Food Research Organization Tsukuba Japan

2. National Institute for Environmental Studies Tsukuba Japan

3. University of Arizona Tucson AZ USA

Funder

Environmental Restoration and Conservation Agency

Ministry of Education, Culture, Sports, Science and Technology

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021WR030660

Reference106 articles.

1. A Ranking of Hydrological Signatures Based on Their Predictability in Space

2. The CAMELS data set: catchment attributes and meteorology for large-sample studies

3. Quantifying mountain block recharge by means of catchment-scale storage-discharge relationships

4. Opportunities for hydrologic research in the Congo Basin

5. Predictions in ungauged basins: an approach for regionalization of hydrological models considering the probability distribution of model parameters

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1. Regionalization in global hydrological models and its impact on runoff simulations: a case study using WaterGAP3 (v 1.0.0);Geoscientific Model Development;2024-09-12

2. Runoff Simulation in Data-Scarce Alpine Regions: Comparative Analysis Based on LSTM and Physically Based Models;Water;2024-07-31

3. Global hydrological models continue to overestimate river discharge;Environmental Research Letters;2024-06-11

4. Bayesian Framework for Uncertainty Quantification and Bias Correction of Projected Streamflow in Climate Change Impact Assessment;Water Resources Management;2024-05-10

5. Flood risk assessment for Indian sub-continental river basins;Hydrology and Earth System Sciences;2024-03-04

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