Comparison of Methods for Estimating Extreme Significant Wave Height Using Satellite Altimeter and Ieodo Ocean Research Station Data

2021 ◽  
Vol 42 (5) ◽  
pp. 524-535
Author(s):  
Hye-Jin Woo ◽  
◽  
Kyung-Ae Park ◽  
Do-Seung Byun ◽  
Kwang-Yeong Jeong ◽  
...  
Keyword(s):  
Wave Height ◽  
Significant Wave Height ◽  
Research Station ◽  
Comparison Of Methods ◽  
Satellite Altimeter ◽  
Significant Wave ◽  
Station Data

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>

Calibration of significant wave height from HY-2A satellite altimeter

2014 ◽  
Author(s):  
Jinsong Yang ◽  
Guangjun Xu ◽  
Yuan Xu ◽  
Xiaoyan Chen
Keyword(s):  
Wave Height ◽  
Significant Wave Height ◽  
Satellite Altimeter ◽  
Significant Wave

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.

scholarly journals Global wave height trends and variability from new multi-mission satellite altimeter products, reanalyses and wave buoys

2020 ◽  
Author(s):  
Christine Gommenginger ◽  
Ben Timmermans ◽  
Guillaume Dodet ◽  
Jean-Raymond Bidlot
Keyword(s):  
Climate Change ◽  
Wave Height ◽  
Significant Wave Height ◽  
Temporal Trends ◽  
European Space Agency ◽  
Wave Climate ◽  
Sea State ◽  
Satellite Altimeter ◽  
Ocean Surface Waves ◽  
Significant Wave

&lt;p&gt;Accurate knowledge and understanding of the sea state and its variability is crucial to numerous oceanic and coastal engineering applications, but also to climate change and related impacts including coastal inundation from extreme weather and ice-shelf break-up. The increasing duration of the satellite altimeter record for sea state motivates a range of global analyses, including the examination of changes in ocean climate. For ocean surface waves in particular, the recent development and release of new products providing observations of altimeter-derived significant wave height make long term analyses fairly straightforward.&lt;/p&gt;&lt;p&gt;In this study, significant wave height climatologies and trends over 1992-2017 are intercompared in four recent high-quality global datasets using a consistent methodology. In particular, we make use of products presented by Ribal et al. (2019), and the recently released product developed through the European Space Agency Climate Change Initiative (CCI) for Sea State (Dodet et al. 2020, ESSD, in review). Regional differences in mean climatology are identified and linked to low and high sea states, while temporal trends from the altimetry products, and two reanalysis and hindcast datasets, show general similarity in spatial variation and magnitude but with major differences in equatorial regions and the Indian Ocean. Discrepancies between altimetry products likely arise from differences in calibration and quality control. However, multidecadal observations at buoy stations also highlight issues with wave buoy data, raising questions about their unqualified use, and more fundamentally about uncertainty in all sea state products. We discuss these results in the context of both the current state of knowledge of the changing wave climate, and the on-going development of CCI Sea State altimetry products.&lt;/p&gt;

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