ensvsa-grl

Python scripts for producing figures in the manuscript submitted to GRL.

https://github.com/s-nakashita/ensvsa-grl

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
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  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (3.7%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Python scripts for producing figures in the manuscript submitted to GRL.

Basic Info
  • Host: GitHub
  • Owner: s-nakashita
  • Language: Python
  • Default Branch: main
  • Size: 31.3 KB
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  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Created about 1 year ago · Last pushed 11 months ago
Metadata Files
Readme Citation

README.md

ensvsa-grl

This repository provides Python scripts for producing figures and a table in a manuscript entitled "Applicability of ensemble singular vectors to a mesoscale convective system over the East China Sea," submitted to Geophysical Research Letters.

  • Figure 1: comp_en.py
  • Figure 2: comp_tevol_nl.py
  • Figure 3: comp_en_nl.py
  • Figure 4, S3: panel_prtbspectra_nl.py
  • Figure S1: comp_prtb.py
  • Figure S2: comp_lineairity.py
  • Table S1: comp_wgt.py, create_table.r
  • processing input arguments: plotargs.py

Execute plot.sh to produce all figures. The model output data for producing the manuscript figures is attached to the release Version 1.1, and can also be obtained from Zenodo.

Owner

  • Login: s-nakashita
  • Kind: user

PhD student of atmospheric division, graduate school of science, Kyoto university

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Nakashita"
  given-names: "Saori"
  orcid: "https://orcid.org/0009-0002-8522-1250"
  affiliation: "Kyoto University"
title: "ensvsa-grl"
version: 1.1.0
doi: 10.5281/zenodo.15300264
date-released: 2025-04-29
url: "https://github.com/s-nakashita/ensvsa-grl"

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