Articles | Volume 28, issue 1
Nonlin. Processes Geophys., 28, 153–166, 2021
https://doi.org/10.5194/npg-28-153-2021
Nonlin. Processes Geophys., 28, 153–166, 2021
https://doi.org/10.5194/npg-28-153-2021
Research article
03 Mar 2021
Research article | 03 Mar 2021

An early warning sign of critical transition in the Antarctic ice sheet – a data-driven tool for a spatiotemporal tipping point

Abd AlRahman AlMomani and Erik Bollt

Related authors

Predicting sea surface temperatures with coupled reservoir computers
Benjamin Walleshauser and Erik Bollt
Nonlin. Processes Geophys., 29, 255–264, https://doi.org/10.5194/npg-29-255-2022,https://doi.org/10.5194/npg-29-255-2022, 2022
Short summary

Related subject area

Subject: Predictability, probabilistic forecasts, data assimilation, inverse problems | Topic: Climate, atmosphere, ocean, hydrology, cryosphere, biosphere | Techniques: Theory
A stochastic covariance shrinkage approach to particle rejuvenation in the ensemble transform particle filter
Andrey A. Popov, Amit N. Subrahmanya, and Adrian Sandu
Nonlin. Processes Geophys., 29, 241–253, https://doi.org/10.5194/npg-29-241-2022,https://doi.org/10.5194/npg-29-241-2022, 2022
Short summary
Ensemble Riemannian data assimilation: towards large-scale dynamical systems
Sagar K. Tamang, Ardeshir Ebtehaj, Peter Jan van Leeuwen, Gilad Lerman, and Efi Foufoula-Georgiou
Nonlin. Processes Geophys., 29, 77–92, https://doi.org/10.5194/npg-29-77-2022,https://doi.org/10.5194/npg-29-77-2022, 2022
Short summary
Inferring the instability of a dynamical system from the skill of data assimilation exercises
Yumeng Chen, Alberto Carrassi, and Valerio Lucarini
Nonlin. Processes Geophys., 28, 633–649, https://doi.org/10.5194/npg-28-633-2021,https://doi.org/10.5194/npg-28-633-2021, 2021
Short summary
Multivariate localization functions for strongly coupled data assimilation in the bivariate Lorenz 96 system
Zofia Stanley, Ian Grooms, and William Kleiber
Nonlin. Processes Geophys., 28, 565–583, https://doi.org/10.5194/npg-28-565-2021,https://doi.org/10.5194/npg-28-565-2021, 2021
Short summary
Improving the potential accuracy and usability of EURO-CORDEX estimates of future rainfall climate using frequentist model averaging
Stephen Jewson, Giuliana Barbato, Paola Mercogliano, Jaroslav Mysiak, and Maximiliano Sassi
Nonlin. Processes Geophys., 28, 329–346, https://doi.org/10.5194/npg-28-329-2021,https://doi.org/10.5194/npg-28-329-2021, 2021
Short summary

Cited articles

Agency, E. S.: ESR: Larsen C Crack Interferogram. Contains modified Copernicus Sentinel data (2017), processed by A. Hogg/CPOM/Priestly Centre, available at: https://www.esa.int/ESA_Multimedia/Images/2017/04/Larsen-C_crack_interferogram, (last access: 28 April 2020), 2017. a
AlMomani, A. and Bollt, E.: Go With the Flow, on Jupiter and Snow. Coherence from Model-Free Video Data Without Trajectories, J. Nonlinear Sci., 30, 2375–2404, https://doi.org/10.1007/s00332-018-9470-1, 2018. a, b, c
Al Momani, A. A. R. R.: Coherence from Video Data Without Trajectories: A Thesis, PhD thesis, Clarkson University, USA, 2017. a
Bassan, M.: Advanced interferometers and the search for gravitational waves, Astrophys. Space Sc. L., 404, 275–290, 2014. a
Bollt, E. and Santitissadeekorn, N.: Applied and Computational Measurable Dynamics, Society for Industrial and Applied Mathematics, ISBN 978-1-611972-63-4, https://doi.org/10.1137/1.9781611972641, 2013. a
Download
Short summary
This paper introduces a tool for data-driven discovery of early warning signs of critical transitions in ice shelves from remote sensing data. Our directed spectral clustering method considers an asymmetric affinity matrix along with the associated directed graph Laplacian. We applied our approach to reprocessing the ice velocity data and remote sensing satellite images of the Larsen C ice shelf.