How reliable are regional sea level trends ?

Pierre Prandi (CLS, France)

CoAuthors

Benoit Meyssignac (CNES/LEGOS, France); Michael Ablain (CLS, France)

Event: 2017 Ocean Surface Topography Science Team Meeting

Session: Quantifying Errors and Uncertainties in Altimetry data

Presentation type: Type Oral

In this study we try to quantify realistic uncertainties on regional sea level trends derived from 20+ years of satellite altimetry data.

Different error sources affecting altimeter measurements are modeled to construct a complete error covariance matrix, which is then used as the input of an inverse method for local trend estimation. This results as a map of systematic uncertainties.

We also investigate our ability to detect climate change signals in regional sea level records from satellite altimetry. Outputs of climate models are used to provide a description of natural sea level variability, which is added to the system error covariance matrix. Results show that in the majority of the oceanic domain, observed sea level trends are related to climate change.


 

Oral presentation show times:

RoomStart DateEnd Date
Symphony II Wed, Oct 25 2017,14:20 Wed, Oct 25 2017,14:40
Pierre Prandi
CLS
France
pprandi@cls.fr