scholarly journals Comparative analysis of significant wave height between a new Southern Ocean buoy and satellite altimeter

2021 ◽  
pp. 100044
Author(s):  
Jianjun Kang ◽  
Runyu Mao ◽  
Yiting Chang ◽  
Hongli Fu
Keyword(s):  
Comparative Analysis ◽  
Southern Ocean ◽  
Wave Height ◽  
Significant Wave Height ◽  
Satellite Altimeter ◽  
Significant Wave

scholarly journals ASSESSMENT OF SEASONAL VARIABILITY FOR WIND SPEED AND SIGNIFICANT WAVE HEIGHT USING SATELLITE ALTIMETER OVER MALAYSIAN SEAS

2018 ◽  
Vol XLII-4/W9 ◽  
pp. 153-158
Author(s):  
M. N. Uti ◽  
A. H. M. Din ◽  
A. H. Omar
Keyword(s):  
Wind Speed ◽  
Root Mean Square Error ◽  
Mean Square Error ◽  
Wave Height ◽  
Seasonal Variability ◽  
Significant Wave Height ◽  
Northeast Monsoon ◽  
Mean Square ◽  
Satellite Altimeter ◽  
Significant Wave

<p><strong>Abstract.</strong> Malaysia is located in the equatorial region and experienced climate hot, humid and rainy throughout the year. These have brought four monsoon seasons to Malaysia which can be categorised as Northeast monsoon, Southwest monsoon, First-inter monsoon and Second-inter monsoon. Although Malaysia is surrounded by large scale marine resources, the lack of understanding in seasonal variability has affected the spatial and temporal analysis. Thus, this study will highlight the assessment of seasonal variability of wind speed and significant wave height over the Malaysian seas. For more than two decades satellite altimeter data were used to generate a prolonged trend of regional ocean wind speed and significant wave height in order to study the monsoons in Malaysia. A set of wind speed and significant wave height data are compared with the in-situ measurement to validate the accuracy of the wind speed and significant wave height observation using the satellite altimeter. Two selected buoys were using as benchmarks and assessed using the statistical analysis by conducting a root mean square error and a correlation calculation. Seasonal variations assessment is conducted with significance to analyse the monsoon effect towards the wind speed and significant wave height condition. As a result, both ocean parameters present a good value of root mean square error and positive correlation which were 0.7976 (wind speed) and 0.92 (significant wave height), which proves the measurement from satellite altimeter is reliable to use. In addition, the seasonal variation assessment illustrates during the Northeast monsoon, each part of the Malaysian seas experienced with great wind speed and significant wave height.</p>

scholarly journals The Wave Climate of the Southern Ocean

2020 ◽  
Vol 50 (5) ◽  
pp. 1417-1433
Author(s):  
Ian R. Young ◽  
Emmanuel Fontaine ◽  
Qingxiang Liu ◽  
Alexander V. Babanin
Keyword(s):  
Wind Speed ◽  
Southern Ocean ◽  
Wave Height ◽  
Significant Wave Height ◽  
Wave Model ◽  
Wave Climate ◽  
Altimeter Data ◽  
Local Wind ◽  
Significant Wave ◽  
Individual Wave

AbstractThe wave climate of the Southern Ocean is investigated using a combined dataset from 33 years of altimeter data, in situ buoy measurements at five locations, and numerical wave model hindcasts. The analysis defines the seasonal variation in wind speed and significant wave height, as well as wind speed and significant wave height for a 1-in-100-year return period. The buoy data include an individual wave with a trough to crest height of 26.4 m and suggest that waves in excess of 30 m would occur in the region. The extremely long fetches, persistent westerly winds, and procession of low pressure systems that traverse the region generate wave spectra that are unique. These spectra are unimodal but with peak frequencies that propagate much faster than the local wind. This situation results in a unique energy balance in which waves at the spectra peak grow as a result of nonlinear transfer without any input from the local wind.

Validation of Significant Wave Height from Satellite Altimeter in the Seas around Korea and Error Characteristics

2013 ◽  
Vol 29 (6) ◽  
pp. 631-644 ◽  
Author(s):  
Kyung-Ae Park ◽  
Hye-Jin Woo ◽  
Eun-Young Lee ◽  
Sungwook Hong ◽  
Kum-Lan Kim
Keyword(s):  
Wave Height ◽  
Significant Wave Height ◽  
Satellite Altimeter ◽  
Significant Wave ◽  
Error Characteristics

scholarly journals SATELLITE ALTIMETER DATA FILTERING AND SMOOTHING IN THE COURSE OF GROUND-BASED RETRACKING

2019 ◽  
pp. 13-21
Author(s):  
D. S. Borovitsky ◽  
A. E. Zhesterev ◽  
V. P. Ipatov ◽  
R. M. Mamchur
Keyword(s):  
Wave Height ◽  
Significant Wave Height ◽  
Space Vehicle ◽  
Altimeter Data ◽  
Data Filtering ◽  
Radar Altimeter ◽  
Satellite Altimeter ◽  
Significant Wave ◽  
Ground Segment ◽  
Delay Lock Loop

Introduction. Satellite radar altimeter is an essential part of the Earth remote sensing space missions. Satellite altimeter on-board delay-lock loop, by a widely shared concept, is operationally just a tool of a reliable retaining of received echo-signal within the tracking window, while “fine” altimetric parameter (orbit height, significant wave height, scattering cross section per unit of a probed surface, etc.) measuring is committed to the ground-based retracking of data. In particular, in the course of retracking altimeter data are being filtered and/or smoothed.Objective. The paper subject is study of retracking algorithms of altimeter data transmitted from the space vehicle to the ground segment.Methods and materials. It is known that data filtering already presents on-board the space vehicle and is implemented in delay-lock loop based on the α–β-filter. However, at the stage of ground-based retracking it seems more appropriate to use the Kalman filter, which possesses a number of theoretical optimal features and is efficient as for utilization of the available computational resource.Results and conclusions. In the paper implementation of filtering and smoothing via Kalman algorithm is described. On the ground of computer simulation data it is stated that Kalman filtering and smoothing make estimate accuracy two and more times higher depending on significant wave height.

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