Calibrating CryoSat-2 and Sentinel-3A Sea Surface Heights Along the German Coast

2019 ◽  
pp. 15-22 ◽  
Author(s):  
Luciana Fenoglio ◽  
Salvatore Dinardo ◽  
Christopher Buchhaupt ◽  
Bernd Uebbing ◽  
Remko Scharroo ◽  
...  
Keyword(s):  
Sea Surface ◽  
German Coast ◽  
Sea Surface Heights

Sea Surface Heights and Marine Gravity Determined from SARAL/AltiKa Ka-band Altimeter Over South China Sea

2021 ◽  
Author(s):  
Chengcheng Zhu ◽  
Xin Liu ◽  
Jinyun Guo ◽  
Shengwen Yu ◽  
Yupeng Niu ◽  
...  
Keyword(s):  
South China Sea ◽  
South China ◽  
Sea Surface ◽  
Ka Band ◽  
China Sea ◽  
Marine Gravity ◽  
Sea Surface Heights

Airborne measurement of absolute sea-surface heights

1993 ◽  
Vol 20 (9) ◽  
pp. 875-878 ◽  
Author(s):  
John M. Brozena ◽  
Mary F. Peters ◽  
Rene Forsberg
Keyword(s):  
Sea Surface ◽  
Airborne Measurement ◽  
Sea Surface Heights

scholarly journals Recovering Marine Gravity Over the Gulf of Guinea From Multi-Satellite Sea Surface Heights

2021 ◽  
Vol 9 ◽  
Author(s):  
Richard Fiifi Annan ◽  
Xiaoyun Wan
Keyword(s):  
Gravity Field ◽  
Gravity Anomalies ◽  
Sea Surface ◽  
Shallow Waters ◽  
Gulf Of Guinea ◽  
Gravity Field Model ◽  
The North ◽  
Marine Gravity ◽  
Sea Surface Heights ◽  
East Component

A regional gravity field product, comprising vertical deflections and gravity anomalies, of the Gulf of Guinea (15°W to 5°E, 4°S to 4°N) has been developed from sea surface heights (SSH) of five altimetry missions. Though the remove-restore technique was adopted, the deflections of the vertical were computed directly from the SSH without the influence of a global geopotential model. The north-component of vertical deflections was more accurate than the east-component by almost three times. Analysis of results showed each satellite can contribute almost equally in resolving the north-component. This is attributable to the nearly northern inclinations of the various satellites. However, Cryosat-2, Jason-1/GM, and SARAL/AltiKa contributed the most in resolving the east-component. We attribute this to the superior spatial resolution of Cryosat-2, the lower inclination of Jason-1/GM, and the high range accuracy of the Ka-band of SARAL/AltiKa. Weights of 0.687 and 0.313 were, respectively, assigned to the north and east components in order to minimize their non-uniform accuracy effect on the resultant gravity anomaly model. Histogram of computed gravity anomalies compared well with those from renowned models: DTU13, SIOv28, and EGM2008. It averagely deviates from the reference models by −0.33 mGal. Further assessment was done by comparing it with a quadratically adjusted shipborne free-air gravity anomalies. After some data cleaning, observations in shallow waters, as well as some ship tracks were still unreliable. By excluding the observations in shallow waters, the derived gravity field model compares well in ocean depths deeper than 2,000 m.

Determining sea surface heights using small footprint airborne laser scanning

2013 ◽  
Author(s):  
A. Gruno ◽  
A. Liibusk ◽  
A. Ellmann ◽  
T. Oja ◽  
A. Vain ◽  
...  
Keyword(s):  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Sea Surface ◽  
Airborne Laser ◽  
Sea Surface Heights ◽  
Small Footprint

Comparison of Sea Surface Heights Derived from Satellite Altimetry and from Ocean Bottom Pressure Gauges: The SW Pacific MOTEVAS Project

2004 ◽  
Vol 27 (3-4) ◽  
pp. 597-613 ◽  
Author(s):  
S. CALMANT ◽  
K. CHENG ◽  
G. JAN ◽  
C. KUO ◽  
C. SHUM ◽  
...  
Keyword(s):  
Satellite Altimetry ◽  
Sea Surface ◽  
Ocean Bottom ◽  
Bottom Pressure ◽  
Ocean Bottom Pressure ◽  
Sw Pacific ◽  
Sea Surface Heights

Comparison of sea surface heights observed by TOPEX altimeter with sea level data at Chichijima

1996 ◽  
Vol 52 (3) ◽  
pp. 259-273 ◽  
Author(s):  
Naoto Ebuchi ◽  
Kimio Hanawa
Keyword(s):  
Sea Level ◽  
Sea Surface ◽  
Level Data ◽  
Sea Surface Heights
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