CoAuthors

Robert Leben (University of Colorado, USA)

We present a recently created sea level reconstruction dataset using a new technique relying on cyclostationary empirical orthogonal functions (CSEOFs). Our focus in creating this dataset is on how other ocean observations such as sea surface temperature can be leveraged to create an improved reconstructed sea level data set spanning the time period from 1900 to present. Here, we demonstrate the use of this reconstructed data set for climate monitoring, creating indices computed solely from sea level measurements for monitoring signals such as the eastern Pacific (EP) El Niño–Southern Oscillation (ENSO), central Pacific (CP) ENSO, and Pacific Decadal Oscillation (PDO). The primary goal of this presentation is to advertise the upcoming release and public availability of the global multivariate sea level reconstruction from 1900 to present that will be hosted by NASA JPL/PO.DAAC.