Scripts to reproduce the results of "A Unified Framework for Trend Uncertainty Assessment in Climate Data Records: Demonstration on Global Mean Sea Level"

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Authors: Kévin Gobron
Cited by: 0

Abstract

This is a Jupyter Notebook used to produce the results presented in the Global Mean Sea Level application section of the manuscript entitled "A Unified Framework for Trend Uncertainty Assessment in Climate Data Records: Demonstration on Global Mean Sea Level" by Kevin Gobron, Roland Hohensinn, Xavier Loizeau, Claire E. Bulgin, Christopher J. Merchant, Emma R. Woolliams, Maurice G. Cox, Wouter Dorigo, Thomas Howard, Mary Langsdale, Adam C. Povey, Michaël Ablain, Janusz Bogusz, Alexander Gruber, Anna Klos, and Jonathan Mittaz published by Surveys in Geophysics in January 2026 (https://doi.org/10.1007/s10712-025-09922-7). This Jupyter Notebook uses the "Error variance-covariance matrix of global mean sea level estimated from satellite altimetry (TOPEX, Jason 1, Jason 2, Jason 3)" dataset published at https://doi.org/10.17882/58344

Fields of Study & Subjects

Geophysics and Gravity Measurements Oceanographic and Atmospheric Processes Climate variability and models

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 January 2026
Document type
Book