Abstract
Abstract This study demonstrates that absolute (geocentric) and relative sea level trends, sea level acceleration, low frequency sea level variations and linear trends in vertical crustal movements experienced at a tide gauge station can be estimated simultaneously using conflated satellite altimetry and tide gauge measurements without the aid of GPS measurements. The formulation is the first of its kind in sea level studies and its effectiveness is exemplified using tide gauge, and satellite altimetry measurements carried out in the vicinity of a tide gauge station.
Highlights
This study demonstrates that absolute and relative sea level trends, sea level acceleration, low frequency sea level variations and linear trends in vertical crustal movements experienced at a tide gauge station can be estimated simultaneously using con ated satellite altimetry and tide gauge measurements without the aid of GPS measurements
The formulation is the rst of its kind in sea level studies and its e ectiveness is exempli ed using tide gauge, and satellite altimetry measurements carried out in the vicinity of a tide gauge station
This study, di ers from the previous ones in terms of both mathematical and statistical models, which enable simultaneous estimation of absolute and relative sea level trends and acceleration, low frequency sea level variations and VCM experienced at a TG station using con ated SA and TG measurements without the aid of geological information or GPS measurements
Summary
On a regular 0.75 × 0.75 longitude/latitude grid for the period from Jan 1979 to Oct 2018. With this a priori understanding about the underlying sea level variations, the kinematic and statistical model for both SA and TG time series reads as, ht =ht + ν (t − t ) + a (t − t ). Another reason is the omission of the correlation between the estimates in single model solutions, which may in ate the error of the estimated VCM rate. SA measurements and TG measurements with long records under a single model—the con uence model
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