Comparison of two stochastic techniques for reliable urban runoff prediction by modeling systematic errors-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Comparison of two stochastic techniques for reliable urban runoff prediction by modeling systematic errors

Published:2015-07 Issue:7 Volume:51 Page:5004-5022
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Del Giudice Dario¹²,Löwe Roland³,Madsen Henrik³,Mikkelsen Peter Steen⁴,Rieckermann Jörg¹

Affiliation:

1. Eawag, Swiss Federal Institute of Aquatic Science and TechnologyDübendorf Switzerland

2. Institute of Environmental Engineering, ETH Zurich, Swiss Federal Institute of TechnologyZurich Switzerland

3. Department of Applied Mathematics and Computer ScienceTechnical University of DenmarkLyngby Denmark

4. Department of Environmental EngineeringTechnical University of DenmarkLyngby Denmark

Funder

Swiss National Science Foundation

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2014WR016678

Reference81 articles.

1. Continuous-Discrete Path Integral Filtering

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

3. A Framework for Validation of Computer Models

4. Grey box modeling of first flush and incoming wastewater at a wastewater treatment plant

5. Systematic identification of DO‐BOD model structure;Beck M. B.;J. Environ. Eng. Div. Am. Soc. Civ. Eng.,1976

Cited by 19 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. EVCA Classifier: A MCMC-Based Classifier for Analyzing High-Dimensional Big Data;Information;2023-08-09

2. Bayesian parameter inference in hydrological modelling using a Hamiltonian Monte Carlo approach with a stochastic rain model;Hydrology and Earth System Sciences;2023-08-09

3. Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control;Artificial Intelligence;2022-10

4. Flexible iterative ensemble smoother for calibration of perfect and imperfect models;Computational Geosciences;2020-12-10

5. Improving Evapotranspiration Model Performance by Treating Energy Imbalance and Interaction;Water Resources Research;2020-09

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