xIndices: Version 1.2.1 ...

xIndices is a xarray based Python library for calculating climate variability indices and patterns. For now, from preprocessing the data to final calculation of indices and patterns, it allows user to directly calculate without diving into the steps for calculations. Installation: conda create -n x_...

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Bibliographic Details
Main Author: Dixit, Jivesh
Format: Software
Language:unknown
Published: Zenodo 2024
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.13932671
https://zenodo.org/doi/10.5281/zenodo.13932671
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author Dixit, Jivesh
author_facet Dixit, Jivesh
author_sort Dixit, Jivesh
collection DataCite
description xIndices is a xarray based Python library for calculating climate variability indices and patterns. For now, from preprocessing the data to final calculation of indices and patterns, it allows user to directly calculate without diving into the steps for calculations. Installation: conda create -n x_indices python=3.11 ###(OPTIONAL) conda activate x_indices ###(If creating the x_indices environment) conda install -c jiveshdixit -c conda-forge xindices ...
format Software
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
geographic Pacific
geographic_facet Pacific
id ftdatacite:10.5281/zenodo.13932671
institution Open Polar
language unknown
op_collection_id ftdatacite
op_doi https://doi.org/10.5281/zenodo.1393267110.5281/zenodo.13932672
op_relation https://dx.doi.org/10.5281/zenodo.13932672
op_rights MIT License
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
https://opensource.org/licenses/MIT
mit
publishDate 2024
publisher Zenodo
record_format openpolar
spelling ftdatacite:10.5281/zenodo.13932671 2025-01-16T23:36:09+00:00 xIndices: Version 1.2.1 ... Dixit, Jivesh 2024 https://dx.doi.org/10.5281/zenodo.13932671 https://zenodo.org/doi/10.5281/zenodo.13932671 unknown Zenodo https://dx.doi.org/10.5281/zenodo.13932672 MIT License Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 https://opensource.org/licenses/MIT mit Climate Variability Pacific Decadal Oscillation Atlantic Multidecadal Oscillation North Atlantic Oscillation Dimensionality Reduction El Nino Southern Oscillation PDO AMO NAO ENSO SST Warming Trend SST warming pattern SoftwareSourceCode Software article 2024 ftdatacite https://doi.org/10.5281/zenodo.1393267110.5281/zenodo.13932672 2024-11-04T09:26:02Z xIndices is a xarray based Python library for calculating climate variability indices and patterns. For now, from preprocessing the data to final calculation of indices and patterns, it allows user to directly calculate without diving into the steps for calculations. Installation: conda create -n x_indices python=3.11 ###(OPTIONAL) conda activate x_indices ###(If creating the x_indices environment) conda install -c jiveshdixit -c conda-forge xindices ... Software North Atlantic North Atlantic oscillation DataCite Pacific
spellingShingle Climate Variability
Pacific Decadal Oscillation
Atlantic Multidecadal Oscillation
North Atlantic Oscillation
Dimensionality Reduction
El Nino Southern Oscillation
PDO
AMO
NAO
ENSO
SST Warming Trend
SST warming pattern
Dixit, Jivesh
xIndices: Version 1.2.1 ...
title xIndices: Version 1.2.1 ...
title_full xIndices: Version 1.2.1 ...
title_fullStr xIndices: Version 1.2.1 ...
title_full_unstemmed xIndices: Version 1.2.1 ...
title_short xIndices: Version 1.2.1 ...
title_sort xindices: version 1.2.1 ...
topic Climate Variability
Pacific Decadal Oscillation
Atlantic Multidecadal Oscillation
North Atlantic Oscillation
Dimensionality Reduction
El Nino Southern Oscillation
PDO
AMO
NAO
ENSO
SST Warming Trend
SST warming pattern
topic_facet Climate Variability
Pacific Decadal Oscillation
Atlantic Multidecadal Oscillation
North Atlantic Oscillation
Dimensionality Reduction
El Nino Southern Oscillation
PDO
AMO
NAO
ENSO
SST Warming Trend
SST warming pattern
url https://dx.doi.org/10.5281/zenodo.13932671
https://zenodo.org/doi/10.5281/zenodo.13932671