Improving Sea Level Anomaly Precision from Satellite Altimetry Using Parameters Correction in the Red Sea

An improved FSM method is used in geophysical and environmental corrections to enhance the final product of the along track Jason-2 SLA data and extend it near the Red Sea borders. In this study the ionospheric correction range, wet tropospheric correction range, sea state bias correction range and dry tropospheric correction range are enhanced and improved using FSM01, which helped to retrieve three more tracks (106, 170 and 234), earlier neglected by the distribution centers, and extend the tracks towards the coast. The FSM01 SLA is compared with Jason-2 SLA and AVISO SLA for the available 5 tracks, in which the FSM01 SLA show a good agreement and higher correlation with the Jason-2 SLA compared with that of AVISO, in addition to that it fills the gaps in the times series of all tracks. The new retrieved tracks also compared with those retrieved by AVISO, both data show similar variability, with FSM01 SLA show no gaps in the time series. The FSM01 SLA also extended towards the coast and show high correlation with the coastal tide measurements.

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Improving Sea Level Anomaly Precision from Satellite Altimetry Using Parameter Correction in the Red Sea

Remote Sensing ◽

10.3390/rs12050764 ◽

2020 ◽

Vol 12 (5) ◽

pp. 764

Author(s):

Ahmed M. Taqi ◽

Abdullah M. Al-Subhi ◽

Mohammed A. Alsaafani ◽

Cheriyeri P. Abdulla

Keyword(s):

Sea Level ◽

Red Sea ◽

Distribution Centers ◽

Sea Level Anomaly ◽

Times Series ◽

Sea State Bias ◽

Data Points ◽

The Times ◽

Environmental Corrections ◽

Along Track

An improved Fourier series model (FSM01) method is used in geophysical and environmental corrections to enhance the final product of the along-track Jason-2 sea level anomaly (SLA) data and extend it near the Red Sea borders. In this study, the ionospheric correction range, wet tropospheric correction range, sea state bias correction range, and dry tropospheric correction range are enhanced and improved using FSM01, which helped to retrieve three more tracks (106, 170, and 234) earlier neglected by the distribution centers and extend the tracks toward the coast. The FSM01 SLA is compared with Jason-2 SLA and Archiving Validation and Interpretation of Satellite Oceanographic (AVISO) SLA for the available five tracks, in which the FSM01 SLA shows a good agreement and higher correlation with the Jason-2 SLA compared with that of AVISO, in addition to filling the gaps in the times series of all tracks. The newly retrieved tracks are also compared with those retrieved by AVISO, and both data points show similar variability, with FSM01 SLA showing no gaps in the time series. The FSM01 SLA was also extended toward the coast and showed high correlation with the coastal tide measurements.

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Harmony's ocean elevation measurements: potential and performance

10.5194/egusphere-egu2020-19069 ◽

2020 ◽

Author(s):

Andreas Theodosiou ◽

Paco Lopez Dekker ◽

Marcel Kleinherenbrink ◽

Gert Mulder

Keyword(s):

Sea Surface ◽

Surface Elevation ◽

Sea State ◽

Temporal Decorrelation ◽

First Results ◽

Sea State Bias ◽

Sea Surface Heights ◽

And Performance ◽

Cross Track ◽

Along Track

<p>Harmony, an Earth Explorer 10 candidate mission, consists of two receive-only Synthetic Aperture Radar (SAR) satellites using Sentinel-1D as the illuminator. The mission will switch between close formation phases and StereoSAR phases, dedicated to relative surface elevation and relative surface motion respectively. Interferometric observations of the ocean have, in the past, been hindered by the quick temporal decorrelation of the sea surface; a result of the along-track baseline that often comes with the cross-track baseline necessary for interferometry. Specialised SAR systems aiming to observe the oceans need to account for the decorrelation of the surface. SWOT overcomes the issue by fixing the two SAR antennas to physically eliminate their along-track separation. Due to the squinted, bistatic nature of the formation, Harmony can act as an altimeter, observing relative sea-surface heights (SSH) over unprecedented wide swaths. Hence, the mission promises to have highly coherent observations of the sea surface, leading to accurate surface elevation measurements. The wide swath will enable the recovery of mesoscale features of the ocean surface in a single pass. We will present the first results of the performance analysis of the mission's observations of elevation over the oceans. The effect of errors, namely the residual Doppler, baseline errors and sea-state bias, on the observations will also be discussed.</p>

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Weakly nonlinear theory and sea state bias estimations

Journal of Geophysical Research Atmospheres ◽

10.1029/1998jc900128 ◽

1999 ◽

Vol 104 (C4) ◽

pp. 7641-7647 ◽

Cited By ~ 29

Author(s):

Tanos Elfouhaily ◽

Donald Thompson ◽

Douglas Vandemark ◽

Bertrand Chapron

Keyword(s):

Nonlinear Theory ◽

Sea State ◽

Weakly Nonlinear ◽

Weakly Nonlinear Theory ◽

Sea State Bias

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Assessment of Geological Hazards Along Alagaba Highway-Red Sea State, Sudan

Recent Advances in Geo-Environmental Engineering, Geomechanics and Geotechnics, and Geohazards - Advances in Science, Technology & Innovation ◽

10.1007/978-3-030-01665-4_87 ◽

2018 ◽

pp. 377-380

Author(s):

Esamaldeen Ali ◽

El-Khider Rahamt Allah

Keyword(s):

Red Sea ◽

Geological Hazards ◽

Sea State

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Analysis of the Factors Affecting the Competitiveness of ASEAN-5 Countries

Asian Journal of Social Science Studies ◽

10.20849/ajsss.v6i1.884 ◽

2021 ◽

Vol 6 (1) ◽

pp. 1

Author(s):

Tarwo Kusnarno ◽

Eddy Suratman

Keyword(s):

Exchange Rates ◽

Labor Productivity ◽

Series Data ◽

Analysis Model ◽

Factors Affecting ◽

Times Series ◽

Insignificant Effect ◽

Net Exports ◽

The Times ◽

Net Export

This study analyzes the factors that affect the competitiveness of ASEAN-5 countries in terms of Labor Productivity, Net Exports, Investment, Inflation and Exchange Rates in two periods, namely the ASEAN internal crisis and the global crisis using the times series data from 1997-2017, then analyzed with the regression analysis model. The results showed that the labor productivity of the 1997-2008 period had a positive and significant effect on the competitiveness of ASEAN-5, as well as the period of 2008-2019, labor productivity had a positive and significant effect on the competitiveness of ASEAN-5. The net export period of 1997-2008 had a negative and not significant effect on the competitiveness of ASEAN-5, as well as the period of 2008-2017, the net export had a negative and not significant effect on the competitiveness of ASEAN-5. The investment period of 1997-2008 has a negative and not significant effect on the competitiveness of ASEAN-5, while the period 2008-2017 has a positive and not significant effect on the competitiveness of ASEAN-5. Inflation in the 1997-2017 period had a negative and insignificant effect on the competitiveness of ASEAN-5, as well as the 2008-2017 inflation period had a negative and not significant effect on the competitiveness of ASEAN-5. Exchange rates for the period 1997-2008 have a negative and insignificant influence on the competitiveness of ASEAN-5, as well as the 2008-2017 period, which has a negative and insignificant effect on the competitiveness of ASEAN-5.

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