33 years of globally calibrated wave height and wind speed data based on altimeter observations

Ribal, Agustinus; Young, Ian R.

doi:10.1038/s41597-019-0083-9

Cited by 165 publications

(217 citation statements)

References 37 publications

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“…2 Taylor diagram for annual mean of Hs (a) and H s 99 (b) of all global ocean region relative to the Satellite data over the period 1991-2017. The metrics shown are the spatial correlation (SC), normalized standard deviation (NSD) (given by σ sim /σ obs derived from a specific simulation and the satellite dataset 40 ) and the centred-root-mean-square (CRMSD) difference. The SC is shown by the azimuthal angle, the normalized standard deviation is shown by the radial distance from the origin (i.e., satellite data) and the CRMSD is shown by the distance from the origin (the yellow lines).…”

Section: Technical Validationmentioning

confidence: 99%

A global ensemble of ocean wave climate projections from CMIP5-driven models

et al. 2020

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This dataset, produced through the Coordinated Ocean Wave Climate Project (COWCLIP) phase 2, represents the first coordinated multivariate ensemble of 21 st Century global wind-wave climate projections available (henceforth COWCLIP2.0). COWCLIP2.0 comprises general and extreme statistics of significant wave height (H S), mean wave period (T m), and mean wave direction (θ m) computed over time-slices 1979-2004 and 2081-2100, at different frequency resolutions (monthly, seasonally and annually). The full ensemble comprising 155 global wave climate simulations is obtained from ten CMIP5-based state-of-the-art wave climate studies and provides data derived from alternative windwave downscaling methods, and different climate-model forcing and future emissions scenarios. The data has been produced, and processed, under a specific framework for consistency and quality, and follows CMIP5 Data Reference Syntax, Directory structures, and Metadata requirements. Technical comparison of model skill against 26 years of global satellite measurements of significant wave height has been undertaken at global and regional scales. This new dataset provides support for future broad scale coastal hazard and vulnerability assessments and climate adaptation studies in many offshore and coastal engineering applications.

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Section: Technical Validationmentioning

confidence: 99%

A global ensemble of ocean wave climate projections from CMIP5-driven models

et al. 2020

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“…It was assumed that the impact of oceanic and atmospheric parameters induces a "systematic error" which is similar for all altimeters using the same frequency band, and thus the data from Ka-band SARAL are not used here. All the altimeter U10 data used in this study were retrieved from Ku-band RCS as reported in [3], and the information of SWH and RCS of other frequencies (C-band and S-band) were not taken into consideration. The data with bad quality flags or U10 > 25 m/s or SWH > 10 m/s were discarded.…”

Section: Multiplatform Altimeter Datasetmentioning

confidence: 99%

“…Among these remote sensors, scatterometers have the widest swath and the best overall accuracy (with a typical error of ~1 m/s) [2], making them an irreplaceable data source of U10. Meanwhile, radar altimeters, with a typical error of wind speed of 1.5 m/s (e.g., [3,4]), have a better accuracy in high wind speeds [1] and can provide global coverage of U10 and significant wave height (SWH) data simultaneously, making them also a unique tool for studies in wind-waves (e.g., [5][6][7]). Since 1985, more than ten satellite altimeters have been launched, which provide sufficiently long data records for studies of wind and wave climate [5].…”

Section: Introductionmentioning

confidence: 99%

Improving Altimeter Wind Speed Retrievals Using Ocean Wave Parameters

Jiang¹,

Zheng²,

Mu³

2020

Preprint

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Spaceborne altimeters are an important data source for obtaining global sea surface wind speeds (U10). Although many altimeter U10 algorithms have been proposed and they perform well, there is still room for improvement. In this study, the data from ten altimeters were collocated with buoys to investigate the error of the altimeter U10 retrievals. The U10 residuals were found to be significantly dependent on many oceanic and atmospheric parameters. Because these oceanic and atmospheric parameters are inter-correlated, an asymptotic strategy was used to isolate the impact of different parameters and establish a neural-network-based correction model of altimeter U10. The results indicated that significant wave heights and mean wave periods are effective in correcting U10 retrievals, probably due to the tilting modulation of long-waves on the sea surface. After the wave correction, the root-mean-square error of the retrieved U10 was reduced from 1.42 m/s to 1.24 m/s and the impacts of thermodynamic parameters, such as sea surface (air) temperate, became negligible. The U10 residuals after correction showed that the atmospheric instability can lead to errors on extrapolated buoy U10. The buoy measurements with large air-sea temperature differences need to be excluded in the Cal/Val of remotely sensed U10.

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“…For wave data there are also three options (altimeters, synthetic aperture radar and CFOSat). A number of studies have already looked at global climatology of wind speed and wave height, including the Southern Ocean (Zieger et al, 2009;Vinoth and Young, 2011;Young et al, 2011Young et al, , 2017Takbash et al, 2018;Young and Donelan, 2018;Ribal and Young, 2019;Young and Ribal, 2019). These studies, however, are limited to wind speed and significant wave height and suffer from very limited possibilities for Southern Ocean Calibrations.…”

Section: Measurements In the Southern Oceanmentioning

confidence: 99%

Waves and Swells in High Wind and Extreme Fetches, Measurements in the Southern Ocean

et al. 2019

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The generation and evolution of ocean waves by wind is one of the most complex phenomena in geophysics, and is of great practical significance. Predictive capabilities of respective wave models, however, are impaired by lack of field in situ observations, particularly in extreme Metocean conditions. The paper outlines and highlights important gaps in understanding the Metocean processes and suggests a major observational program in the Southern Ocean. This large, but poorly investigated part of the World Ocean is home to extreme weather around the year. The observational network would include distributed system of buoys (drifting and stationary) and autonomous surface vehicles (ASV), intended for measurements of waves and air-sea fluxes in the Southern Ocean. It would help to resolve the issues of limiting fetches, extreme Extra-Tropical cyclones, swell propagation and attenuation, wave-current interactions, and address the topics of wave-induced dispersal of floating objects, wave-ice interactions in the Marginal Ice Zone, Metocean climatology and its connection with the global climate.

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33 years of globally calibrated wave height and wind speed data based on altimeter observations

Abstract: This dataset consists of 33 years (1985 to 2018), of global significant wave height and wind speed obtained from 13 altimeters, namely: GEOSAT , ERS-1 , TOPEX , ERS-2 , GFO , JASON-1 , ENVISAT , JASON-2 , CRYOSAT-2 , HY-2A , SARAL , JASON-3 … Show more

Cited by 165 publications

References 37 publications

A global ensemble of ocean wave climate projections from CMIP5-driven models

A global ensemble of ocean wave climate projections from CMIP5-driven models

Improving Altimeter Wind Speed Retrievals Using Ocean Wave Parameters

Waves and Swells in High Wind and Extreme Fetches, Measurements in the Southern Ocean

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