Dual State‐Parameter Assimilation of SAR‐Derived Wet Surface Ratio for Improving Fluvial Flood Reanalysis
Author:
Affiliation:
1. CECI CERFACS/CNRS UMR 5318 Toulouse France
2. Collecte Localisation Satellites (CLS) Ramonville Saint‐Agne France
3. Centre National d’Etudes Spatiales (CNES) Toulouse France
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022WR033155
Reference61 articles.
1. Multivariate remotely sensed and in-situ data assimilation for enhancing community WRF-Hydro model forecasting
2. The Quest for Model Uncertainty Quantification: A Hybrid Ensemble and Variational Data Assimilation Framework
3. Enhancing hydrologic data assimilation by evolutionary Particle Filter and Markov Chain Monte Carlo
4. Integrating VGI and 2D hydraulic models into a data assimilation framework for real time flood forecasting and mapping
5. Data Assimilation
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. Adjoint-based sensitivity analysis and assimilation of multi-source data for the inference of spatio-temporal parameters in a 2D urban flood hydraulic model;Journal of Hydrology;2024-11
2. Improving Subsurface Soil Moisture Estimation Using a 2‐Dimensional Data Assimilation Framework Incorporated With a Dual State‐Parameter Scheme;Water Resources Research;2024-08
3. The SCO-Flooddam Digital Twin Project: A Pre-Operational Demonstrator for Flood Detection, Mapping, Prediction and Risk Impact Assessment;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
4. Assimilation of SWOT Altimetry And Sentinel-1 Flood Extent Observations for Flood Reanalysis - A Proof-Of-Concept;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
5. Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations;IEEE Transactions on Geoscience and Remote Sensing;2024
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