Using Neural Networks to Predict Hurricane Storm Surge and to Assess the Sensitivity of Surge to Storm Characteristics-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Using Neural Networks to Predict Hurricane Storm Surge and to Assess the Sensitivity of Surge to Storm Characteristics

Published:2022-12-23 Issue:24 Volume:127 Page:
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:JGR Atmospheres

Author:

Lockwood Joseph W.¹^ORCID,Lin Ning²^ORCID,Oppenheimer Michael¹³⁴^ORCID,Lai Ching‐Yao¹⁵

Affiliation:

1. Department of Geoscience Princeton University Princeton NJ USA

2. Civil and Environmental Engineering Princeton University Princeton NJ USA

3. Princeton School of Public and International Affairs Princeton University Princeton NJ USA

4. High Meadows Environmental Institute Princeton NJ USA

5. Atmospheric and Oceanic Sciences Program Princeton University Princeton NJ USA

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022JD037617

Reference49 articles.

1. Visualizing the effects of predictor variables in black box supervised learning models

2. Spatial Variation in Sensitivity of Hurricane Surge Characteristics to Hurricane Parameters

3. Global modeling of tropical cyclone storm surges using high-resolution forecasts

4. Estimation of global coastal sea level extremes using neural networks

5. Reduced global warming from CMIP6 projections when weighting models by performance and independence

Cited by 13 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. Surge-NF: Neural Fields inspired peak storm surge surrogate modeling with multi-task learning and positional encoding;Coastal Engineering;2024-10

2. Forecasting storm tides during strong typhoons using artificial intelligence and a physical model;Frontiers in Marine Science;2024-07-18

3. Underestimation of extremes in sea level surge reconstruction;Scientific Reports;2024-06-27

4. Improving Coastal Storm Surge Monitoring Through Joint Modeling Based on Permanent and Temporary Tide Gauges;Geophysical Research Letters;2024-06-11

5. A novel hybrid machine learning model for rapid assessment of wave and storm surge responses over an extended coastal region;Coastal Engineering;2024-06

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