Analisa Sea Level Rise Dari Data Satelit Altimetri Topex/Poseidon, Jason-1 Dan Jason-2 Di Perairan Laut Pulau Jawa Periode 2000 – 2010

It has been conducted a research about sea level rise (SLR) in surrounding Jawa island by using satellite altimetry data Topex/Poseidon, Jason-1 dan Jason-2 for period 2000 – 2010. Satellite altimetry is satellite which specially design for measuring dynamics of sea water. Those satellite lauched firstly in 1992 incorporation between National Aeronautics and Space Administration (NASA) dan European Space Agency (ESA). There are six locations for measuring SLR i.e. Jakarta, Semarang, Surabaya, Pangandaran, Jogjakarta dan Prigi. We chose locations based on alongtrack of satellite and near the big cities in Jawa island with dimension area around 0.5ox0.5o degrees. We found SLR rate for Jakarta (2.5 ± 0.24 mm/yr), Semarang (2.16 ± 0.20 mm/yr), Surabaya (2.72 ± 0.19 mm/yr), Pangandaran (0.71 ± 0.33 mm/yr), Jogjakarta (0.91 ± 0.38 mm/yr) and Prigi (1.3 ± 0.38 mm/yr). The average SLR rate for North coast is (2.46 ± 0.21 mm/yr) and for South coast (0.97 ± 0.36 mm/yr). This results are well correlated with data from tide gauge stations.

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Estimating Relative and Absolute Sea Level Rise at Ny-Ålesundwith satellite altimetry and in-situ observations

10.5194/egusphere-egu21-2836 ◽

2021 ◽

Author(s):

Stefano Vignudelli ◽

Francesco De Biasio

Keyword(s):

Climate Change ◽

Sea Level Rise ◽

Sea Level ◽

Satellite Altimetry ◽

Adriatic Sea ◽

Tide Gauge ◽

European Space Agency ◽

Data Sets ◽

Space Agency ◽

Along Track

Consistent and long-term satellite-based data-sets to study climate-scale variations of sea level globally and in the coastal zone are available nowadays. Two altimetry data-sets were recently produced: the first one is generated by the European Space Agency&#8217;s (ESA) Sea Level Climate Change Initiative (SL_CCI) over a grid of 0.25 x 0.25 degrees, merging and homogenizing the various available satellite altimetry missions. The second one is a climate-oriented altimeter sea level product that started in the framework of the European Copernicus Climate Change Service (C3S), and is now released as daily-means over a grid of 0.25 x 0.25 degrees, covering the global ocean since 1993 to present. Both reach in the Arctic the latitude of 81.5 N degrees. Therefore, these new altimetry products cover the coastal area surrounding Ny-&#197;lesund (Svalbard Islands, Norway), where a tide gauge station is active since 1976. Near the Svalbard coasts also the along track surface elevations of the CryoSat-2 mission are made available through the European Space Agency&#8217;s Grid Processing on Demand (G-POD) for Earth Observation Applications facility.In this study, we compare sea level measurements from the Ny-&#197;lesund tide gauge with the climate-oriented altimeter sea level gridded products (SL_CCI and C3S) and with the along track data from the only CryoSat-2 mission. This study has three objectives: 1) to assess the performances of the gridded data moving from offshore to near coasts; 2) to explore how the synergy with along track high resolution CryoSat-2 data might help to detail the sea ice impact on the observation of relative and absolute sea level rise around Svalbard; 3) to verify if the differences between satellite altimetry and tide gauges can be used as a proxy of vertical ground movement in the study area by adopting the approaches elaborated in Vignudelli et al. [2018] and De Biasio et al. [2020] that can be validated with ground vertical displacements estimated using Global Positioning System (GPS) data from the stations close to Ny-&#197;lesund.&#160;REFERENCESVignudelli, S., De Biasio, F., Scozzari, A. Zecchetto, S., and Papa, A. (2019): Sea Level Trends and Variability in the Adriatic Sea and Around Venice, Proceedings of the International Review Workshop on Satellite Altimetry Cal/Val Activities and Applications, 23-26 April 2018, Chania, Crete, Greece. DOI:10.1007/1345_2018_51De Biasio, F.; Baldin, G.; Vignudelli, S. Revisiting Vertical Land Motion and Sea Level Trends in the Northeastern Adriatic Sea Using Satellite Altimetry and Tide Gauge Data. J. Mar. Sci. Eng. 2020, 8, 949. DOI:10.3390/jmse8110949

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More confounders at global and decadal scales in detecting recent sea level accelerations

Journal of Geodetic Science ◽

10.1515/jogs-2015-0020 ◽

2015 ◽

Vol 5 (1) ◽

Author(s):

H. Bâki Iz

Keyword(s):

Sea Level ◽

Satellite Altimetry ◽

Tide Gauge ◽

Almost Periodic ◽

Altimetry Data ◽

Tide Gauge Data ◽

Gauge Data ◽

Close Range ◽

Globally Distributed ◽

Satellite Altimetry Data

AbstractThe residuals of 27 globally distributed long tide gauge recordswere scrutinized after removing the globally compounding effect of the periodic lunar node tides and almost periodic solar radiation’s sub and superharmonics from the tide gauge data. The spectral analysis of the residuals revealed additional unmodeled periodicities at decadal scales, 19 of which are within the close range of 12–14 years, at 27 tide gauge stations. The amplitudes of the periodicitieswere subsequently estimated for the spectrally detected periods and they were found to be statistically significant (p «0.05) for 18 out of 27 globally distributed tide gauge stations. It was shown that the estimated amplitudes at different localities may have biased the outcome of all the previous studies based on tide gauge or satellite altimetry data that did not account for these periodicities, within the range −0.5 – 0.5 mm/yr., acting as another confounder in detecting 21st century sea level rise.

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Comparing satellite altimetry and tide gauges observations in the Mediterranean Sea within the framework of singular spectrum analysis

MAUSAM ◽

10.54302/mausam.v71i2.18 ◽

2021 ◽

Vol 71 (2) ◽

pp. 187-198

Author(s):

HADDAD MAHDI ◽

TAIBI HEBIB ◽

MOKRANE MOUSTAFA ◽

HAMMOUMI HOUSSEYN

Keyword(s):

Sea Level ◽

Spectrum Analysis ◽

Satellite Altimetry ◽

Tide Gauge ◽

Singular Spectrum Analysis ◽

Altimetry Data ◽

Tide Gauges ◽

The Mediterranean ◽

Satellite Altimetry Data

By considering time series from satellite altimetry and tide gauges that extend back to 1993, Singular Spectrum Analysis (SSA) is applied to investigate and compare the non linear trends of the sea level along the Mediterranean coasts. The major issue of this comparison is to show if the satellite altimetry data could be representative of the local sea level as observed by tide gauges. The results indicate that the local trends estimated from an in-situ tide gauge and satellite altimetry data show nearly identical positive rates over the period from 1993 to 2017. The differences between the estimated rates of sea level change from in-situ tide gauge and satellite measurements vary, in absolute value, from 0.18 to 4.29 mm/year with an average of 1.55 mm/year. This result is sufficient to admit, if necessary, on the one hand, the complementarily of the two measurement techniques (satellite altimetry and tide gauges) and, on the other hand, the rise in sea level near the Mediterranean coastal areas.

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Sea Level Rise of Sumatera Waters based on Multi-Satellite Altimetry Data

Indonesian Journal of Geography ◽

10.22146/ijg.27328 ◽

2018 ◽

Vol 50 (2) ◽

pp. 162

Author(s):

Isna Uswatun Khasanah

Keyword(s):

Linear Regression ◽

Sea Level Rise ◽

Sea Level ◽

Coastal Area ◽

Satellite Altimetry ◽

Altimetry Data ◽

Global Test ◽

Mean Sea Level ◽

West Sumatra ◽

Satellite Altimetry Data

The information of sea level rise was needed in the Indonesia as archipelago country to management risk and development coastal area. This research study took in West Sumatra waters, because the majority people have lived in coastal area and some areas is located below 100 m above Mean Sea Level (MSL). The sea level data was taken from multi-satellite altimetry, they are Topex/Poseidon, Jason-1, and Jason-2. The period of data started from 1993 until 2015.Preliminary data processing of satellite altimetry was done by global test and post-processing of satellite altimetry data. The sea level rise analysis done by linear regression methods. Linear regression formula of sea level rise in West Sumatra Waters during the period was y = 1.586 + 0.0000113x. The change of sea level during period 1993 until 2015 was 3.394 cm with mean sea level rise value was 1.35 mm/year

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Observing Sea Level Changes Using Satellite Altimetry and In Situ Data

10.5194/egusphere-egu2020-5817 ◽

2020 ◽

Author(s):

Nikos Flokos ◽

Maria Tsakiri

Keyword(s):

Sea Level Rise ◽

Sea Level ◽

Coastal Zone ◽

Satellite Altimetry ◽

Tide Gauge ◽

Altimeter Data ◽

Atmospheric Effects ◽

Data Sets ◽

Altimetry Data

corresponding author: N.Flokos[email protected]ABSTRACTSea level change is one of the key indicators of climate change with numerous effects such as flooding, erosion of beaches, salt intrusion.&#160; The detailed global picture of sea level and the monitoring of its spatial-temporal changes is performed by Satellite Altimetry (SA). Nowadays, SA data compare well with measurements from the global tide gauge network, but the aim of 0.3 mm/year accuracy in the altimeter derived rate of global mean sea level rise is still not fully met.&#160;Whilst the precise determination of global and regional sea level rise from SA data is promising, there is however an observational gap in our knowledge regarding the coastal zone. While Tide Gauges (TG) are usually located at the coast, therefore providing coastal sea level measurements, altimeters have difficulties there. Filling this gap becomes important when considering that the impact of sea level rise can be devastating on the coast with effects on society and ecosystems. This makes it even more significant knowing that there are many stretches of the world&#8217;s coast that still do not possess in situ level measuring devices.&#160;&#160;This work aims to discuss the available data and methods that link the SA measurements of sea level rise with TG measurements. Whilst there is rich literature on relevant applications, it is important to have a clear and concise methodology on this.Tide gauge dataSeveral post processing steps need to be applied to the raw TG data to enrich the raw Sea Surface Heights (SSH) values and make them comparable with SA data. There are several geophysical corrections, such as pressure and wind effects, which can be applied to TG data in order to deduce&#160; Sea Level (SL) and be consistent with altimeter data. High frequency atmospheric effects on TG data are corrected using the Dynamic Atmospheric Correction (DAC) provided by AVISO. One other large uncertainty is the vertical stability of the TG benchmark over time. TG data must be corrected for the Vertical Land Motion (VLM) to enable the comparison of two sea level measurements (TG and SA) and their later integration within the surfaces of the absolute sea heights. The main VLM dataset can be obtained from SONEL database (SONEL 2016) which provides crustal velocities from the continuous GNSS measurements at sites collocated to the TG.Satellite altimetry dataWhilst Satellite Altimetry over the open ocean is a mature discipline, global altimetry data collected over the coastal ocean remain still largely unexploited. This is because of intrinsic difficulties in the corrections and issues of land contamination in the footprint that have so far resulted in systematic flagging and rejection of these data. In this work, the relevant methodology to overcome these problems and extend the capabilities of current and future altimeters to the coastal zone (coastal altimetry) will be discussed and a number of coastal altimetry data sets will be used (eg SARvatore, X-TRACK, RADS etc). Finally, a practical example using real data sets over the Aegean Sea will be presented.&#160;&#160;&#160;

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Analysis of Sea level Rise by Using Satellite Altimetry Data of West Sumatra Waters in 2009 – 2019

Journal of Physics Conference Series ◽

10.1088/1742-6596/1825/1/012010 ◽

2021 ◽

Vol 1825 (1) ◽

pp. 012010

Author(s):

Riza Vina Chrismiantari ◽

Sorja Koesuma ◽

Budi Legowo

Keyword(s):

Sea Level Rise ◽

Sea Level ◽

Satellite Altimetry ◽

Altimetry Data ◽

West Sumatra ◽

Satellite Altimetry Data

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VARIATION AND TREND OF SEA LEVEL DERIVED FROM ALTIMETRY SATELLITE AND TIDE GAUGE IN CILACAP AND BENOA COASTAL AREAS

International Journal of Remote Sensing and Earth Sciences (IJReSES) ◽

10.30536/j.ijreses.2016.v13.a2703 ◽

2017 ◽

Vol 13 (1) ◽

pp. 59

Author(s):

Amelius Andi Mansawan ◽

Jonson Lumban Gaol ◽

James P. Panjaitan

Keyword(s):

Sea Level Rise ◽

Sea Level ◽

Satellite Data ◽

Satellite Altimetry ◽

Tide Gauge ◽

Analysis Data ◽

Coastal Areas ◽

Sea Levels ◽

Level Data ◽

Satellite Altimetry Data

Observation of sea levels continuously is very important in order to adapt the disasters in the coastal areas. Conventionally observations of sea level using tide gauge, but the number of tide gauge installed along the coast of Indonesia is still limited. Altimetry satellite data is one solution; therefore it is necessary to assess the potential and accuracy of altimetry satellite data to complement the sea level data from tide gauges. The study was conducted in the coastal waters of Cilacap and Bali by analysis data Envisat satellite altimetry for period 2003 to 2010 and data compiled from a variety of satellite altimetry from 2006 to 2014. Data tidal was used as a comparison of altimetry satellite data. The altimetry satellite data in Cilacap and Benoa waters more than 90% could be used to assess the variation and the sea level rise during the period 2003-2010. The rate of sea level rise both the data of tidal and satellite altimetry data indicates the same rate was 3.5 mm/year in Cilacap. in Benoa are 4.7 mm/year and 5.60 mm/year respectively.

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