Collection of figures to explore intra-regime weather variability of North Atlantic-European year-round weather regimes as Supplementary Dataset for Gerighausen et al. (2024) ...

This is a supplementary dataset accompanying the publication Gerighausen et al. (2024) submitted to Meteorological Applications. It contains a collection of browsable figures, complementing selected regimes, seasons, and countries in the paper. The figures are provided as a zipped archive. The ZIP-F...

Full description

Bibliographic Details
Main Authors: Gerighausen, Judith, Dorrington, Joshua, Osman, Marisol, Grams, Christian
Format: Still Image
Language:English
Published: Zenodo 2024
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.12923702
https://zenodo.org/doi/10.5281/zenodo.12923702
_version_ 1821649301311324160
author Gerighausen, Judith
Dorrington, Joshua
Osman, Marisol
Grams, Christian
author_facet Gerighausen, Judith
Dorrington, Joshua
Osman, Marisol
Grams, Christian
author_sort Gerighausen, Judith
collection DataCite
description This is a supplementary dataset accompanying the publication Gerighausen et al. (2024) submitted to Meteorological Applications. It contains a collection of browsable figures, complementing selected regimes, seasons, and countries in the paper. The figures are provided as a zipped archive. The ZIP-File (1.2 GB) contains 4 subfolders and 4 auxiliary files as described in readme.md in the main folder. Once downloaded and unpacked, the .html navigation panels can be used in any browser to navigate through the plots. Data and methods used to generate the figures are explained in Gerighausen et al. (2024). In brief the analysis is based on ERA5 reanalysis 1979-2021 at 1° grid spacing and 6h temporal resolution aggregated to daily data. Anomalies are computed with respect to a 31-day running mean climatology. The figures are explained in the table below and in the navigation panel. Gerighausen, J., J. Dorrington, M. Osman, and C. M. Grams, 2024: Quantifying intra-regime weather variability for energy applications, ...
format Still Image
genre North Atlantic
genre_facet North Atlantic
id ftdatacite:10.5281/zenodo.12923702
institution Open Polar
language English
op_collection_id ftdatacite
op_doi https://doi.org/10.5281/zenodo.1292370210.5281/zenodo.12923703
op_relation https://dx.doi.org/10.5281/zenodo.12923703
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
publishDate 2024
publisher Zenodo
record_format openpolar
spelling ftdatacite:10.5281/zenodo.12923702 2025-01-16T23:40:36+00:00 Collection of figures to explore intra-regime weather variability of North Atlantic-European year-round weather regimes as Supplementary Dataset for Gerighausen et al. (2024) ... Gerighausen, Judith Dorrington, Joshua Osman, Marisol Grams, Christian 2024 https://dx.doi.org/10.5281/zenodo.12923702 https://zenodo.org/doi/10.5281/zenodo.12923702 en eng Zenodo https://dx.doi.org/10.5281/zenodo.12923703 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Meteorology Atmospheric Dynamics Numerical weather prediction ERA5 Weather Regimes Renewable energy Energy Meteorology Subseasonal Prediction Atmospheric circulation Atmospheric sciences Image graphic ImageObject 2024 ftdatacite https://doi.org/10.5281/zenodo.1292370210.5281/zenodo.12923703 2024-11-04T08:56:17Z This is a supplementary dataset accompanying the publication Gerighausen et al. (2024) submitted to Meteorological Applications. It contains a collection of browsable figures, complementing selected regimes, seasons, and countries in the paper. The figures are provided as a zipped archive. The ZIP-File (1.2 GB) contains 4 subfolders and 4 auxiliary files as described in readme.md in the main folder. Once downloaded and unpacked, the .html navigation panels can be used in any browser to navigate through the plots. Data and methods used to generate the figures are explained in Gerighausen et al. (2024). In brief the analysis is based on ERA5 reanalysis 1979-2021 at 1° grid spacing and 6h temporal resolution aggregated to daily data. Anomalies are computed with respect to a 31-day running mean climatology. The figures are explained in the table below and in the navigation panel. Gerighausen, J., J. Dorrington, M. Osman, and C. M. Grams, 2024: Quantifying intra-regime weather variability for energy applications, ... Still Image North Atlantic DataCite
spellingShingle Meteorology
Atmospheric Dynamics
Numerical weather prediction
ERA5
Weather Regimes
Renewable energy
Energy Meteorology
Subseasonal Prediction
Atmospheric circulation
Atmospheric sciences
Gerighausen, Judith
Dorrington, Joshua
Osman, Marisol
Grams, Christian
Collection of figures to explore intra-regime weather variability of North Atlantic-European year-round weather regimes as Supplementary Dataset for Gerighausen et al. (2024) ...
title Collection of figures to explore intra-regime weather variability of North Atlantic-European year-round weather regimes as Supplementary Dataset for Gerighausen et al. (2024) ...
title_full Collection of figures to explore intra-regime weather variability of North Atlantic-European year-round weather regimes as Supplementary Dataset for Gerighausen et al. (2024) ...
title_fullStr Collection of figures to explore intra-regime weather variability of North Atlantic-European year-round weather regimes as Supplementary Dataset for Gerighausen et al. (2024) ...
title_full_unstemmed Collection of figures to explore intra-regime weather variability of North Atlantic-European year-round weather regimes as Supplementary Dataset for Gerighausen et al. (2024) ...
title_short Collection of figures to explore intra-regime weather variability of North Atlantic-European year-round weather regimes as Supplementary Dataset for Gerighausen et al. (2024) ...
title_sort collection of figures to explore intra-regime weather variability of north atlantic-european year-round weather regimes as supplementary dataset for gerighausen et al. (2024) ...
topic Meteorology
Atmospheric Dynamics
Numerical weather prediction
ERA5
Weather Regimes
Renewable energy
Energy Meteorology
Subseasonal Prediction
Atmospheric circulation
Atmospheric sciences
topic_facet Meteorology
Atmospheric Dynamics
Numerical weather prediction
ERA5
Weather Regimes
Renewable energy
Energy Meteorology
Subseasonal Prediction
Atmospheric circulation
Atmospheric sciences
url https://dx.doi.org/10.5281/zenodo.12923702
https://zenodo.org/doi/10.5281/zenodo.12923702