Principal Component Analysis on Temporal-spatial Variations of Sea Level Anomalies from T/P Satellite Altimeter Data over the Northwest Pacific

2001 ◽  
pp. 165-170 ◽  
Author(s):  
Haiying Wang
Keyword(s):  
Principal Component Analysis ◽  
Sea Level ◽  
Principal Component ◽  
Component Analysis ◽  
Spatial Variations ◽  
Altimeter Data ◽  
Northwest Pacific ◽  
Satellite Altimeter ◽  
Sea Level Anomalies ◽  
Satellite Altimeter Data

scholarly journals On the Use of Satellite Altimeter Data in Argo Quality Control

2009 ◽  
Vol 26 (2) ◽  
pp. 395-402 ◽  
Author(s):  
Stephanie Guinehut ◽  
Christine Coatanoan ◽  
Anne-Lise Dhomps ◽  
Pierre-Yves Le Traon ◽  
Gilles Larnicol
Keyword(s):  
Time Series ◽  
Quality Control ◽  
Real Time ◽  
Altimeter Data ◽  
Satellite Altimeter ◽  
Sea Level Anomalies ◽  
The Impact ◽  
Satellite Altimeter Data ◽  
Made In

Abstract Satellite altimeter measurements are used to check the quality of the Argo profiling floats time series. The method compares collocated sea level anomalies from altimeter measurements and dynamic height anomalies calculated from Argo temperature and salinity profiles for each Argo float time series. Different kinds of anomalies (sensor drift, bias, spikes, etc.) have been identified on some real-time but also delayed-mode Argo floats. About 4% of the floats should probably not be used until they are carefully checked and reprocessed by the principal investigators (PIs). The method appears to be very complementary to the existing quality control checks performed in real time or delayed mode. It could also be used to quantify the impact of the adjustments made in delayed mode on the pressure, temperature, and salinity fields.

scholarly journals Non-tidal aliasing in seasonal sea-level variability and annual Rossby waves as observed by satellite altimetry

1997 ◽  
Vol 15 (11) ◽  
pp. 1478-1488 ◽  
Author(s):  
G. Chen ◽  
R. Ezraty
Keyword(s):  
Numerical Simulations ◽  
Systematic Error ◽  
Sea Level ◽  
Satellite Altimetry ◽  
Rossby Waves ◽  
Altimeter Data ◽  
Ocean Tides ◽  
Satellite Altimeter ◽  
Sea Level Variability ◽  
Satellite Altimeter Data

Abstract. It is becoming well known that aliasing associated with ocean tides could be a major source of systematic error in altimeter sea-level measurements, due to asynoptic sampling and imperfect tide modelling. However, it has been shown that signals of non-tidal origin may also contribute significantly to the observed aliasing. In this paper, numerical simulations are performed to demonstrate the full aliasing potential associated with altimeter observations of seasonal sea-level variability and annual Rossby waves. Our results indicate that ignorance of non-tidal aliasing may lead to the possibility of underestimating the total aliasing and misinterpreting or overlooking existing geophysical phenomena. Therefore, it is argued that an entire aliasing picture should be kept in mind when satellite altimeter data are analysed.

Complex principal component analysis of sea-level pressure over the eastern USA

2007 ◽  
Vol 11 (1) ◽  
pp. 27-54 ◽  
Author(s):  
Jerry M. Davis ◽  
Frank L. Estis ◽  
Peter Bloomfield ◽  
John F. Monahan
Keyword(s):  
Principal Component Analysis ◽  
Sea Level ◽  
Principal Component ◽  
Component Analysis ◽  
Sea Level Pressure ◽  
Level Pressure ◽  
Eastern Usa
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