Learning-Based Temporal Estimation of In-Situ Wind Speed From Underwater Passive Acoustics
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Learning-Based Temporal Estimation of In-Situ Wind Speed From Underwater Passive Acoustics
Authors
Keywords
-
Journal
IEEE JOURNAL OF OCEANIC ENGINEERING
Volume 48, Issue 4, Pages 1215-1225
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2023-08-25
DOI
10.1109/joe.2023.3288970
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Learning Variational Data Assimilation Models and Solvers
- (2021) R. Fablet et al. Journal of Advances in Modeling Earth Systems
- Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model
- (2020) Julien Brajard et al. Journal of Computational Science
- Intercomparison of Data-Driven and Learning-Based Interpolations of Along-Track Nadir and Wide-Swath SWOT Altimetry Observations
- (2020) Maxime Beauchamp et al. Remote Sensing
- Machine Learning Methods to Approximate Rainfall and Wind From Acoustic Underwater Measurements (February 2020)
- (2020) William O. Taylor et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Machine learning for data-driven discovery in solid Earth geoscience
- (2019) Karianne J. Bergen et al. SCIENCE
- Sea surface wind retrieval in coastal areas by means of Sentinel-1 and numerical weather prediction model data
- (2019) Fabio Michele Rana et al. REMOTE SENSING OF ENVIRONMENT
- Machine Learning for the Geosciences: Challenges and Opportunities
- (2019) Anuj Karpatne et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- A labelled ocean SAR imagery dataset of ten geophysical phenomena from Sentinel‐1 wave mode
- (2019) Chen Wang et al. Geoscience Data Journal
- Validation of Sea Surface Wind From Sentinel-1A/B SAR Data in the Coastal Regions of the Korean Peninsula
- (2019) Jae-Cheol Jang et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Multimodal Machine Learning: A Survey and Taxonomy
- (2018) Tadas Baltrusaitis et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Wind Speed Estimation Using Acoustic Underwater Glider in a Near-Shore Marine Environment
- (2018) Dorian Cazau et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Measuring the Marine Soundscape of the Indian Ocean with Southern Elephant Seals Used as Acoustic Gliders of Opportunity
- (2017) Dorian Cazau et al. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
- A review of operational methods of variational and ensemble-variational data assimilation
- (2017) R. N. Bannister QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
- Monitoring Greek Seas Using Passive Underwater Acoustics
- (2015) Jeffrey A. Nystuen et al. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
- Regional Rainfall Measurements Using the Passive Aquatic Listener During the SPURS Field Campaign
- (2015) Jie Yang et al. OCEANOGRAPHY
- Underwater Acoustic Measurements to Estimate Wind and Rainfall in the Mediterranean Sea
- (2015) Sara Pensieri et al. Advances in Meteorology
- The ERA-Interim reanalysis: configuration and performance of the data assimilation system
- (2011) D. P. Dee et al. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
- A sound budget for the southeastern Bering Sea: Measuring wind, rainfall, shipping, and other sources of underwater sound
- (2010) Jeffrey A. Nystuen et al. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
- Comparison of C-Band Scatterometer CMOD5.N Equivalent Neutral Winds with ECMWF
- (2009) Hans Hersbach JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started