scholarly journals Review of Geostrophic Currents in the northern Nordic Seas from a Combination of Multi-Mission Satellite Altimetry and Ocean Modeling

2019 ◽  
Author(s):  
Anonymous
Keyword(s):  
Satellite Altimetry ◽  
Ocean Modeling ◽  
Nordic Seas ◽  
Geostrophic Currents ◽  
Mission Satellite

scholarly journals Dynamic ocean topography of the northern Nordic seas: a comparison between satellite altimetry and ocean modeling

2019 ◽  
Vol 13 (2) ◽  
pp. 611-626 ◽  
Author(s):  
Felix L. Müller ◽  
Claudia Wekerle ◽  
Denise Dettmering ◽  
Marcello Passaro ◽  
Wolfgang Bosch ◽  
...  
Keyword(s):  
Sea Ice ◽  
Satellite Altimetry ◽  
Ocean Model ◽  
Irregular Sampling ◽  
Ocean Modeling ◽  
Nordic Seas ◽  
Comparison Results ◽  
Ocean Topography ◽  
Annual Signal ◽  
Good Agreement

Abstract. The dynamic ocean topography (DOT) of the polar seas can be described by satellite altimetry sea surface height observations combined with geoid information as well as by ocean models. The altimetry observations are characterized by an irregular sampling and seasonal sea ice coverage complicating reliable DOT estimations. Models display various spatiotemporal resolutions but are limited to their computational and mathematical context and introduced forcing models. In the present paper, ALES+ retracked altimetry ranges and derived along-track DOT heights of ESA's Envisat and water heights of the Finite Element Sea Ice-Ocean Model (FESOM) are compared to investigate similarities and discrepancies. The goal of the present paper is to identify to what extent pattern and variability of the northern Nordic seas derived from measurements and model agree with each other, respectively. The study period covers the years 2003–2009. An assessment analysis regarding seasonal DOT variabilities shows good agreement and confirms the dominant impact of the annual signal in both datasets. A comparison based on estimated regional annual signal components shows 2–3 times stronger amplitudes of the observations but good agreement of the phase. Reducing both datasets by constant offsets and the annual signal reveals small regional residuals and highly correlated DOT time series (Pearson linear correlation coefficient of at least 0.67). The highest correlations can be found in areas that are ice-free and affected by ocean currents. However, differences are visible in sea-ice-covered shelf regions. Furthermore, remaining constant artificial elevations in the observational data can be attributed to an insufficient representation of the used geoid. In general, the comparison results in good agreement between simulated and altimetry-based descriptions of the DOT in the northern Nordic seas.

Testing the use of single- and multi-mission satellite altimetry for the calibration of hydraulic models

2021 ◽  
pp. 103887
Author(s):  
Alessio Domeneghetti ◽  
Giada Molari ◽  
Mohammad J. Tourian ◽  
Angelica Tarpanelli ◽  
Sajedeh Behnia ◽  
...  
Keyword(s):  
Satellite Altimetry ◽  
Hydraulic Models ◽  
Mission Satellite

Potential of Multi-mission Satellite Altimetry Observations and Hydrodynamic Model to Establish Virtual Gauging Network in Sparsely Gauged Basin

2021 ◽  
Author(s):  
Pankaj R Dhote ◽  
Joshal Bansal ◽  
Vaibhav Garg ◽  
Praveen Thakur ◽  
Ankit Agarwal
Keyword(s):  
Hydrodynamic Model ◽  
Satellite Altimetry ◽  
Mission Satellite

scholarly journals Estimating bathymetry from multi-mission satellite altimetry data using Gravity-Geologic Method over Malaysian Seas

2021 ◽  
Vol 32 (5.2) ◽  
Author(s):  
Astina Tugi ◽  
Ami Hassan Md Din ◽  
Nornajihah Mohammad Yazid ◽  
Abdullah Hisam Omar ◽  
Amalina Izzati Abdul Hamid ◽  
...  
Keyword(s):  
Satellite Altimetry ◽  
Altimetry Data ◽  
Mission Satellite ◽  
Satellite Altimetry Data

Sea level trend over Malaysian seas from multi-mission satellite altimetry and vertical land motion corrected tidal data

2019 ◽  
Vol 63 (11) ◽  
pp. 3452-3472 ◽  
Author(s):  
Ami Hassan Md Din ◽  
Nur Adilla Zulkifli ◽  
Mohammad Hanif Hamden ◽  
Wan Anom Wan Aris
Keyword(s):  
Sea Level ◽  
Satellite Altimetry ◽  
Vertical Land Motion ◽  
Mission Satellite ◽  
Tidal Data ◽  
Sea Level Trend
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