HUP‐BMA: An Integration of Hydrologic Uncertainty Processor and Bayesian Model Averaging for Streamflow Forecasting-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

HUP‐BMA: An Integration of Hydrologic Uncertainty Processor and Bayesian Model Averaging for Streamflow Forecasting

Published:2021-10 Issue:10 Volume:57 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Res

Author:

Darbandsari Pedram¹^ORCID,Coulibaly Paulin¹²³^ORCID

Affiliation:

1. Department of Civil Engineering McMaster University Hamilton ON Canada

2. School of Earth, Environment, and Society McMaster University Hamilton ON Canada

3. United Nations University Institute for Water, Environment, and Health Hamilton ON Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020WR029433

Reference96 articles.

1. An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction

2. Impact of imperfect rainfall knowledge on the efficiency and the parameters of watershed models

3. Towards the use of conceptual models for water resource assessment in Indian tropical watersheds under monsoon-driven climatic conditions

4. Choice between competitive pairs of frequency models for use in hydrology: a review and some new results

Cited by 9 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. Quantifying and reducing flood forecast uncertainty by the CHUP-BMA method;Hydrology and Earth System Sciences;2024-07-03

2. Nonlinear Segmental Runoff Ensemble Prediction Model Using BMA;Water Resources Management;2024-04-03

3. Combining physical-based model and machine learning to forecast chlorophyll-a concentration in freshwater lakes;Science of The Total Environment;2024-01

4. Improving Bayesian Model Averaging for Ensemble Flood Modeling Using Multiple Markov Chains Monte Carlo Sampling;Water Resources Research;2023-10

5. Integration of process forecast, real-time correction and probabilistic forecast of inflow floods in Houziyan Reservoir of Dadu River;Journal of Lake Sciences;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3