A Data Censoring Approach for Predictive Error Modeling of Flow in Ephemeral Rivers-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Data Censoring Approach for Predictive Error Modeling of Flow in Ephemeral Rivers

Published:2020-01 Issue:1 Volume:56 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Wang Quan J.¹,Bennett James C.²³,Robertson David E.²,Li Ming⁴

Affiliation:

1. Department of Infrastructure Engineering The University of Melbourne Parkville Victoria Australia

2. CSIRO Land and Water Clayton Victoria Australia

3. Institute for Marine and Antarctic Studies University of Tasmania Hobart Tasmania Australia

4. Floreat Western Australia Australia

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR026128

Reference34 articles.

1. A likelihood framework for deterministic hydrological models and the importance of non-stationary autocorrelation

2. A Markov Chain Monte Carlo Scheme for parameter estimation and inference in conceptual rainfall-runoff modeling

3. Calibrating hourly rainfall-runoff models with daily forcings for streamflow forecasting applications in meso-scale catchments

4. Reliable long-range ensemble streamflow forecasts: Combining calibrated climate forecasts with a conceptual runoff model and a staged error model

5. Assessment of an ensemble seasonal streamflow forecasting system for Australia

Cited by 17 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. Leveraging multi-variable observations to reduce and quantify the output uncertainty of a global hydrological model: evaluation of three ensemble-based approaches for the Mississippi River basin;Hydrology and Earth System Sciences;2024-05-30

2. Improving probabilistic streamflow predictions through a nonparametric residual error model;Environmental Modelling & Software;2024-04

3. Deep learning for monthly rainfall–runoff modelling: a large-sample comparison with conceptual models across Australia;Hydrology and Earth System Sciences;2024-03-13

4. A new approach of coupled long-range forecasts for streamflow and groundwater level;Journal of Hydrology;2024-03

5. Spatial-Mode-Based Calibration (SMoC) of Forecast Precipitation Fields with Spatially Correlated Structures: An Extended Evaluation and Comparison with Gridcell-by-Gridcell Postprocessing;Journal of Hydrometeorology;2023-09

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