Sea Surface Wind Speed Retrieval Based on Empirical Orthogonal Function Analysis Using 2019–2020 CYGNSS Data

Wu, Jianming; Chen, Yanling; Guo, Peng; Wang, Xiaoya; Hu, Xiaogong; Wu, Mengjie; Li, Fenghui; Fu, Naifeng; Hao, Yanzhen

doi:10.1109/tgrs.2022.3169832

Cited by 6 publications

(3 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because of the non-linear relationship between the observables and wind speed, and the difference in sea state, the GMF can also be trained for low and high wind speeds separately . Some statistical methods have been proposed for the training and show good results (Clarizia & Ruf, 2020;Guo et al, 2021;Wu et al, 2022). Some optimization methods can used to additionally enhance the retrieval accuracy.…”

Section: Retrieval Algorithmmentioning

confidence: 99%

Remote sensing and its applications using GNSS reflected signals: advances and prospects

Jin,

Camps,

Jia

et al. 2024

Satell Navig

View full text Add to dashboard Cite

The Global Navigation Satellite Systems (GNSS), including the US’s GPS, China’s BDS, the European Union’s Galileo, and Russia’s GLONASS, offer real-time, all-weather, any-time, anywhere and high precision observations by transmitting L band signals continuously, which have been widely used for positioning, navigation and timing. With the development of GNSS technology, it has been found that GNSS-reflected signals can be used to detect Earth’s surface characteristics together with other signals of opportunity. In this paper, the current status and latest advances are presented on Global Navigation Satellite System-Reflectometry (GNSS-R) in theory, methods, techniques and observations. New developments and progresses in GNSS-R instruments, theoretical modeling, and signal processing, ground and space-/air-borne experiments, parameters retrieval (e.g. wind speed, sea surface height, soil moisture, ice thickness), sea surface altimetry and applications in the atmosphere, oceans, land, vegetation, and cryosphere are given and reviewed in details. Meanwhile, the challenges in the GNSS-R development of each field are also given. Finally, the future applications and prospects of GNSS-R are discussed, including multi-GNSS reflectometry, new GNSS-R receivers, GNSS-R missions, and emerging applications, such as mesoscale ocean eddies, ocean phytoplankton blooms, microplastics detection, target recognition, river flow, desert studies, natural hazards and landslides monitoring.

show abstract

Section: Retrieval Algorithmmentioning

confidence: 99%

Remote sensing and its applications using GNSS reflected signals: advances and prospects

Jin,

Camps,

Jia

et al. 2024

Satell Navig

View full text Add to dashboard Cite

show abstract

“…REOF decomposition is an effective method to analyze the regional structure of climate variable field [17]. REOF decomposition is achieved by varimax rotation, based on the calculation results of empirical orthogonal function (EOF) analysis.…”

Section: Zoning Number Determination Based On Reof Decomposition and ...mentioning

confidence: 99%

“…The updating of particle position is shown in Equations ( 16) and (17). The definition of relevant operators in the process of location updating is referred to [23].…”

Section: Particle Position Updating Of Dpso Algorithmmentioning

confidence: 99%

Layout Method of Met Mast Based on Macro Zoning and Micro Quantitative Siting in a Wind Farm

Chen

Qian

et al. 2022

Processes

View full text Add to dashboard Cite

In order to promote the wind monitoring accuracy and provide a quantitative planning method for met mast layout in practical projects, this paper proposes a two-stage layout method for met mast based on discrete particle swarm optimization (DPSO) zoning and micro quantitative siting. Firstly, according to the wind turbines layout, rotational empirical orthogonal function and hierarchical clustering methods are used to preliminarily determine zoning number. Considering the geographical proximity of wind turbines and the correlation of wind speed, an optimal macro zoning model of wind farm based on improved DPSO is established. Then, combined with the grid screening method and optimal layout evaluation index, a micro quantitative siting method of met mast is proposed. Finally, the rationality and efficiency of macro zoning method based on improved DPSO, as well as the objectivity and standardization of micro quantitative siting, are verified by an actual wind farm.

show abstract

Improving GNSS-R Sea Surface Wind Speed Retrieval from FY-3E Satellite Using Multi-task Learning and Physical Information

Zhou,

Duan,

Ren

2023

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Sea Surface Wind Speed Retrieval Based on Empirical Orthogonal Function Analysis Using 2019–2020 CYGNSS Data

Cited by 6 publications

References 35 publications

Remote sensing and its applications using GNSS reflected signals: advances and prospects

Remote sensing and its applications using GNSS reflected signals: advances and prospects

Layout Method of Met Mast Based on Macro Zoning and Micro Quantitative Siting in a Wind Farm

Improving GNSS-R Sea Surface Wind Speed Retrieval from FY-3E Satellite Using Multi-task Learning and Physical Information

Contact Info

Product

Resources

About