Validation of SARAL/AltiKa significant wave height and wind speed observations over the North Indian Ocean

Kumar, U. Mahesh; Swain, Debadatta; Sasamal, S. K.; Nelli, Narendra; Ramanjappa, T.

doi:10.1016/j.jastp.2015.11.003

Cited by 22 publications

(12 citation statements)

References 36 publications

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“…In-situ measurements such as buoy have become a source of continuous measurements of oceanographic information at permanent points. Generally, in-situ measurements always become a bench-mark for the affirmation of the measurements from the satellite altimeter (Kumar et al, 2015). With the improvising of satellite altimeters, the respective blunder for the satellite altimeter has been downsized if compared with the ground-truth buoy, thus the linear-regression method is used for inter-comparison purposes (Durrant et al, 1987).…”

Section: Resultsmentioning

confidence: 99%

“…The altimeter measurement of spatial-temporal is using 9 days of moving-window, with resolution of 0.25˚x 0.25˚. Next, the collocated data sets are considered relative and further analysis is approached using statistical analysis by applying the correlation between both measurements and the root mean square error (rmse) calculation (Kumar et al, 2015). This procedure is applied the statistical regression to attain the probable relationship between the ground-truth buoy and the satellite altimeter measurements.…”

Section: Methodsmentioning

confidence: 99%

“…Other than that, these ground-truth buoy measurements are always been used as a benchmark to verify the ocean wind speed observations from the satellite altimeter. Thus, the wind speed data from the satellite altimeter and buoy are compared to perform data validation and to provide a good continuity contemplate of wind speed data observation (Kumar et al, 2015). Satellite altimeter is an alternative way in providing a precise and stable data with a good coverage of both spatial and temporal.…”

Section: Research Approachmentioning

confidence: 99%

“…Altimeter wind speed is measured from the energy of the reflected signal from the ocean surface roughness (Kumar et al, 2015). The comparison of monthly averages between collocated wind speed from the satellite altimeter and buoys are shown by using the graphical and statistical assessment.…”

Section: Data Verificationmentioning

confidence: 99%

See 3 more Smart Citations

Reliability of Wind Speed Data From Satellite Altimeter to Support Wind Turbine Energy

Uti

Din

Omar

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Satellite altimeter has proven itself to be one of the important tool to provide good quality information in oceanographic study. Nowadays, most countries in the world have begun in implementation the wind energy as one of their renewable energy for electric power generation. Many wind speed studies conducted in Malaysia using conventional method and scientific technique such as anemometer and volunteer observing ships (VOS) in order to obtain the wind speed data to support the development of renewable energy. However, there are some limitations regarding to this conventional method such as less coverage for both spatial and temporal and less continuity in data sharing by VOS members. Thus, the aim of this research is to determine the reliability of wind speed data by using multi-mission satellite altimeter to support wind energy potential in Malaysia seas. Therefore, the wind speed data are derived from nine types of satellite altimeter starting from year 1993 until 2016. Then, to validate the reliability of wind speed data from satellite altimeter, a comparison of wind speed data form ground-truth buoy that located at Sabah and Sarawak is conducted. The validation is carried out in terms of the correlation, the root mean square error (RMSE) calculation and satellite track analysis. As a result, both techniques showing a good correlation with value positive 0.7976 and 0.6148 for point located at Sabah and Sarawak Sea, respectively. It can be concluded that a step towards the reliability of wind speed data by using multi-mission satellite altimeter can be achieved to support renewable energy.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Research Approachmentioning

confidence: 99%

Section: Data Verificationmentioning

confidence: 99%

See 2 more Smart Citations

Reliability of Wind Speed Data From Satellite Altimeter to Support Wind Turbine Energy

Uti

Din

Omar

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Multiple studies have focused on cross-validation of the satellite altimetry data with the buoy data. The high quality of the altimeter data has been demonstrated both globally (Queffeulou 2004;Queffeulou et al 2010;Queffeulou & Croizé-Fillon 2012) and for smaller basins, e.g., for the Chukchi Sea (Francis et al 2011), Indian Ocean (Shaeb et al 2015;Kumar et al 2015), Mediterranean Sea (Cavaleri & Sclavo 2006;Galanis et al 2012) and Arabian Sea (Hithin et al 2015).…”

Section: Introductionmentioning

confidence: 98%

Validation of the multi-mission altimeter wave height data for the Baltic Sea region

Kudryavtseva¹,

Soomere²

2016

Estonian J. Earth Sci.

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We present a complete cross-validation of significant wave heights (SWH) extracted from altimetry data from all ten existing satellites with available in situ (buoy and echosounder) wave measurements for the Baltic Sea basin. The main purpose is to select an adequate altimetry data subset for a subsequent evaluation of the wave climate. The satellite measurements with the backscatter coefficients > 13.5 cdb, errors in the SWH normalized standard deviation > 0.5 m and snapshots with centroids closer than 0.2° to the land are not reliable. The ice flag usually denotes the ice concentration of > 50%. The presence of ice affects the SWH data starting from concentrations 10%, but substantial effects are only evident for concentrations > 30%. The altimetry data selected based on these criteria have very good correspondence with in situ data, except for GEOSAT Phase 1 data (1985)(1986)(1987)(1988)(1989) that could not be validated. The root-mean-square difference of altimetry and in situ data is in the range of 0.23-0.37, which is significant for the Baltic Sea, compared with an average wave height of ~ 1 m. The bias for CRYOSAT-2, ERS-2, JASON-1/2 and SARAL data is below 0.06 m. The ENVISAT, ERS-1, GEOSAT and TOPEX satellites revealed larger biases up to 0.23 m. The SWH time series from several satellite pairs (ENVISAT/JASON-1, SARAL/JASON-2, ERS-1/TOPEX) exhibit substantial mutual temporal drift and part of them evidently are not homogeneous in time. A new high-resolution SWH data set from the SARAL satellite reveals a very good correspondence with the in situ data and with the data stream from previous satellites.

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New wind-wave climate records in the Western Mediterranean Sea

2021

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This study presents a detailed analysis of changes in wind and wave climate in the Western Mediterranean Sea (WMed), based on 41 years of accurate wind and wave hindcasts. The purpose of this research is to assess the magnitude of recent changes in wave climate and to locate the coastal areas most affected by these changes. Starting from the Theil-Sen slope estimator and the Mann Kendall test, trends in mean and Max significant wave heights (SWH) and wind speed (WS) are analyzed simultaneously on seasonal and annual scales. Thus, the new wave records observed since 2010 have been located spatially and temporally using a simple spatial analysis method, while the increases in maximum wave heights over the last decade have been estimated and mapped. This work was motivated by evidence pointed out by several authors concerning the influence of global climate change on the local climate in the Mediterranean Sea and by the increase in the number and intensity of wave storm events over recent years. Several exceptional storms have recently been observed along the Mediterranean coasts, including storm Adrian in 2018 and storm Gloria in 2020, which resulted in enormous damage along the French and Spanish coasts. The results of the present study reflect a worrying situation in a large part of the WMed coasts. Most of the WMed basin experiences a significant increasing trend in the annual Max of SWH and WS with evident inter-seasonal variability that underlines the importance of multi-scale analysis to assess wind and wave trends. Since 2013, about half of the WMed coastline has experienced records in wave climate, not recorded at least since 1979, and several areas have experienced three successive records. Several WMed coasts are experiencing a worrying evolution of the wave climate, which requires a serious mobilization to prevent probable catastrophic wave storms and ensure sustainable and economic development.

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Validation of SARAL/AltiKa significant wave height and wind speed observations over the North Indian Ocean

Cited by 22 publications

References 36 publications

Reliability of Wind Speed Data From Satellite Altimeter to Support Wind Turbine Energy

Reliability of Wind Speed Data From Satellite Altimeter to Support Wind Turbine Energy

Validation of the multi-mission altimeter wave height data for the Baltic Sea region

New wind-wave climate records in the Western Mediterranean Sea

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