This is the Python-Code that was used to obtain the results that are presented in the paper "Large-scale sea ice – surface temperature variability linked to Atlantic Meridional Overturning Circulation" (currently in review at PlosOne). Statistical methods for the description of coupled sea surface temperature - sea ice large-scale interactions are presented, and they are applied to observations, reanalysis, and earth system model data
Supporting data for our work on Nature Climate Change. You will find: - Integrated desired fireds ...
This collection of Python scripts serves to 1) bring GCM and reanalysis data to a common grid (inter...
Jupyter notebook python scripts for the publication Huguenin et al. Drivers and distribution of glob...
This is the Python-Code that was used to obtain the results that are presented in the paper "Large-s...
This is the Python code written to make the figures (and supplemental figures) of the paper by Silvy...
Python codes for reproducing the figures of the study on 'Subpolar North Atlantic mean state affect...
Code, data and documentation for the statistical generator workflow described in Statistical Generat...
This is the Python code written to make the figures of the paper by Silvy et al. entitled "A modelin...
Accompanying code to the paper "Sea-ice impacts inter-annual variability of phytoplankton bloom char...
This code was used to generate the figures in Bell, M. J., A. J. G. Nurser and D. Storkey (2023) I...
This code was used to analyse and plot data for the paper "Weakening and warming of the European Slo...
Code used to generate results described in "Investigating sources of variability in closing the terr...
These are the shared data and code for the journal of the "Tropical mountain ice core 18O: A Goldilo...
Due to its involvement in numerous feedbacks, sea ice plays a crucial role not only for polar climat...
fenics_ice is a Python code intended for Bayesian quantification of uncertainty of large-scale param...
Supporting data for our work on Nature Climate Change. You will find: - Integrated desired fireds ...
This collection of Python scripts serves to 1) bring GCM and reanalysis data to a common grid (inter...
Jupyter notebook python scripts for the publication Huguenin et al. Drivers and distribution of glob...
This is the Python-Code that was used to obtain the results that are presented in the paper "Large-s...
This is the Python code written to make the figures (and supplemental figures) of the paper by Silvy...
Python codes for reproducing the figures of the study on 'Subpolar North Atlantic mean state affect...
Code, data and documentation for the statistical generator workflow described in Statistical Generat...
This is the Python code written to make the figures of the paper by Silvy et al. entitled "A modelin...
Accompanying code to the paper "Sea-ice impacts inter-annual variability of phytoplankton bloom char...
This code was used to generate the figures in Bell, M. J., A. J. G. Nurser and D. Storkey (2023) I...
This code was used to analyse and plot data for the paper "Weakening and warming of the European Slo...
Code used to generate results described in "Investigating sources of variability in closing the terr...
These are the shared data and code for the journal of the "Tropical mountain ice core 18O: A Goldilo...
Due to its involvement in numerous feedbacks, sea ice plays a crucial role not only for polar climat...
fenics_ice is a Python code intended for Bayesian quantification of uncertainty of large-scale param...
Supporting data for our work on Nature Climate Change. You will find: - Integrated desired fireds ...
This collection of Python scripts serves to 1) bring GCM and reanalysis data to a common grid (inter...
Jupyter notebook python scripts for the publication Huguenin et al. Drivers and distribution of glob...