Comparison of gridded multi-mission and along-track mono-mission satellite altimetry wave heights with in situ near-shore buoy data

Shanas, P. R.; Kumar, V. Sanil; Hithin, N. K.

doi:10.1016/j.oceaneng.2014.03.014

Cited by 29 publications

(17 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is happened because of several reasons, previous study explained if the grid point is located away from the coastal buoy, the land influence will affect the grid averaging. Indeed, the closer the satellite tracks to the buoy, the smaller the estimate of the bias between altimeter and the buoy (Shanas et al, 2014). Buoy that located at Sarawak sea is far more away from the land compare to the buoy located at Sabah sea as shown in Figure 7 From the result of the satellite track presented in Figure. 7(a) and (b), has conclude the wind speed correlation and RMSE value for point located at Sarawak Sea should be better compared to the result from point at Sabah Sea.…”

Section: Data Verificationmentioning

confidence: 92%

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.

View full text Add to dashboard Cite

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.

show abstract

Section: Data Verificationmentioning

confidence: 92%

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.

View full text Add to dashboard Cite

show abstract

“…Data from the Cryosat, Jason-2, and Altika Saral missions are available for the relevant period and region of interest and are presented in Figure 7b. Only the altimeter data in the offshore areas (further than 50 km from the coast) were taken into account, as comparisons with coastal buoy measurements indicated biases and errors in the altimeter measurements (Shanas et al, 2014), especially because of the large antenna footprint. The three altimeters' bands cover an area localized around the TC (more than 100 km from the TC center; Figure 7b), which allows an evaluation of the deep water external region of the TC.…”

Section: Figures 5bmentioning

confidence: 99%

A New Coupled Ocean‐Waves‐Atmosphere Model Designed for Tropical Storm Studies: Example of Tropical Cyclone Bejisa (2013–2014) in the South‐West Indian Ocean

Pianezze

Barthe

Bielli

et al. 2018

J Adv Model Earth Syst

View full text Add to dashboard Cite

Ocean‐Waves‐Atmosphere (OWA) exchanges are not well represented in current Numerical Weather Prediction (NWP) systems, which can lead to large uncertainties in tropical cyclone track and intensity forecasts. In order to explore and better understand the impact of OWA interactions on tropical cyclone modeling, a fully coupled OWA system based on the atmospheric model Meso‐NH, the oceanic model CROCO, and the wave model WW3 and called MSWC was designed and applied to the case of tropical cyclone Bejisa (2013–2014). The fully coupled OWA simulation shows good agreement with the literature and available observations. In particular, simulated significant wave height is within 30 cm of measurements made with buoys and altimeters. Short‐term (< 2 days) sensitivity experiments used to highlight the effect of oceanic waves coupling show limited impact on the track, the intensity evolution, and the turbulent surface fluxes of the tropical cyclone. However, it is also shown that using a fully coupled OWA system is essential to obtain consistent sea salt emissions. Spatial and temporal coherence of the sea state with the 10 m wind speed are necessary to produce sea salt aerosol emissions in the right place (in the eyewall of the tropical cyclone) and with the right size distribution, which is critical for cloud microphysics.

show abstract

“…The height scale of the coastal topography has a significant impact on the coastal measurement perturbation. Indeed, cComparisons with coastal buoy measurements indicate dramatic biases and errors in the altimeter measurements, relative to the coastal ones (Shanas et al 2014), and this is mainly because in such comparisons, in order to be free from land contamination, altimeter data are necessarily limited to offshore areas (at least 50 km), where sea state conditions can be very different from the coastal ones. With SARAL one can expect improvements in wave height measurement at low sea state because of better height resolution, and in coastal areas because smaller footprint and better tracking.…”

mentioning

confidence: 99%

Assessment of SARAL/AltiKa Wave Height Measurements Relative to Buoy, Jason-2, and Cryosat-2 Data

2015

View full text Add to dashboard Cite

SARAL/AltiKa GDR-T are analyzed to assess the quality of the significant wave height (SWH) measurements. SARAL along-track SWH plots reveal cases of erroneous data, more or less isolated, not detected by the quality flags. The anomalies are often correlated with strong attenuation of the Kaband backscatter coefficient, sensitive to clouds and rain. A quality test based on the 1Hz standard deviation is proposed to detect such anomalies. From buoy comparison, it is shown that SARAL SWH is more accurate than Jason-2, particularly at low SWH, and globally does not require any correction. Results are better with open ocean than with coastal buoys. The scatter and the number of outliers are much larger for coastal buoys. SARAL is then compared with Jason-2 and Cryosat-2. The altimeter data are extracted from the global altimeter SWH Ifremer data base, including specific corrections to calibrate the various altimeters. The comparison confirms the high quality of SARAL SWH. The 1Hz standard deviation is much less than for Jason-2 and Cryosat-2, particularly at low SWH. Furthermore, results show that the corrections applied to Jason-2 and to Cryosat-2, in the data base, are efficient, improving the global agreement between the three altimeters.

show abstract

Comparison of gridded multi-mission and along-track mono-mission satellite altimetry wave heights with in situ near-shore buoy data

Cited by 29 publications

References 30 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

A New Coupled Ocean‐Waves‐Atmosphere Model Designed for Tropical Storm Studies: Example of Tropical Cyclone Bejisa (2013–2014) in the South‐West Indian Ocean

Assessment of SARAL/AltiKa Wave Height Measurements Relative to Buoy, Jason-2, and Cryosat-2 Data

Contact Info

Product

Resources

About