This release belongs to the Nature Partner Journal - Climate & Atmospheric Sciences - 2022 publication: "The role of the Pacific Decadal Oscillation and ocean-atmosphere interactions in driving US temperature variability" The relevant python files are in the folder publications/Vijverberg_Coumou_2022_NPJ
This contains the data, presented in a publication entitled "The role of atmospheric drivers in a su...
climate and the oceans / Geoffrey K. Vallis. p. cm. — (Princeton primers in climate) includes biblio...
Python notebooks containing all the analysis code used in the publication in ACP, "An update on glob...
Jupyter notebook python scripts for the publication Huguenin et al. Drivers and distribution of glob...
This is the Python code written to make the figures (and supplemental figures) of the paper by Silvy...
pyClimateSciTool is a python package including several useful functions for climate science and clim...
This release belongs to the AMS-MWR-2020 publication: "Sub-seasonal statistical forecasts of eastern...
This is the Python-Code that was used to obtain the results that are presented in the paper "Large-s...
This is the first release of the code at manuscript acceptance: Wenegrat, J.O., E. Bonanno, U. Rack,...
Datasets for the paper: Hu, S., Xie, S.-P., and Kang, S. M. (2021) Global warming pattern formation...
Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the ...
A change in the relationship between tropical central Pacific SST variability and the extratropical ...
This code was used for the following publications: Blaker, A. T., J. J.-M. Hirschi, M. J. Bell and ...
Supporting data for our work on Nature Climate Change. You will find: - Integrated desired fireds ...
This repository provides the Python scripts to produce the figures of the study carried out in the f...
This contains the data, presented in a publication entitled "The role of atmospheric drivers in a su...
climate and the oceans / Geoffrey K. Vallis. p. cm. — (Princeton primers in climate) includes biblio...
Python notebooks containing all the analysis code used in the publication in ACP, "An update on glob...
Jupyter notebook python scripts for the publication Huguenin et al. Drivers and distribution of glob...
This is the Python code written to make the figures (and supplemental figures) of the paper by Silvy...
pyClimateSciTool is a python package including several useful functions for climate science and clim...
This release belongs to the AMS-MWR-2020 publication: "Sub-seasonal statistical forecasts of eastern...
This is the Python-Code that was used to obtain the results that are presented in the paper "Large-s...
This is the first release of the code at manuscript acceptance: Wenegrat, J.O., E. Bonanno, U. Rack,...
Datasets for the paper: Hu, S., Xie, S.-P., and Kang, S. M. (2021) Global warming pattern formation...
Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the ...
A change in the relationship between tropical central Pacific SST variability and the extratropical ...
This code was used for the following publications: Blaker, A. T., J. J.-M. Hirschi, M. J. Bell and ...
Supporting data for our work on Nature Climate Change. You will find: - Integrated desired fireds ...
This repository provides the Python scripts to produce the figures of the study carried out in the f...
This contains the data, presented in a publication entitled "The role of atmospheric drivers in a su...
climate and the oceans / Geoffrey K. Vallis. p. cm. — (Princeton primers in climate) includes biblio...
Python notebooks containing all the analysis code used in the publication in ACP, "An update on glob...
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