3286b92f-4fae-4cc6-a29e-e408bc844542

Learning the Underlying Physics of a Simulation Model of the Ocean's Temperature

https://github.com/eds-book/3286b92f-4fae-4cc6-a29e-e408bc844542

Science Score: 77.0%

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
Links to: zenodo.org
✓
Committers with academic emails
1 of 4 committers (25.0%) from academic institutions
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (10.8%) to scientific vocabulary

Keywords

environmental-data-science modelling oceanography reproducibility-challenge

Last synced: 6 months ago · JSON representation ·

Repository

Learning the Underlying Physics of a Simulation Model of the Ocean's Temperature

Basic Info

Host: GitHub
Owner: eds-book
License: other
Language: Jupyter Notebook
Default Branch: main
Homepage:
Size: 11.3 MB

Statistics

Stars: 1
Watchers: 3
Forks: 0
Open Issues: 2
Releases: 13

Topics

environmental-data-science modelling oceanography reproducibility-challenge

Created almost 3 years ago · Last pushed 6 months ago

Metadata Files

Readme License Citation

README.md

Learning the underlying physics of a simulation model of the ocean's temperature (CIRC23)

How to run

Running locally

You may also download the notebook from GitHub to run it locally: 1. Open your terminal

Check your conda install with conda --version. If you don't have conda, install it by following these instructions (see here)
Clone the repository bash git clone https://github.com/eds-book-gallery/3286b92f-4fae-4cc6-a29e-e408bc844542.git
Move into the cloned repository bash cd 3286b92f-4fae-4cc6-a29e-e408bc844542
Create and activate your environment from the .binder/environment.yml file bash conda env create -f .binder/environment.yml conda activate 3286b92f-4fae-4cc6-a29e-e408bc844542
Launch the jupyter interface of your preference, notebook, jupyter notebook or lab jupyter lab

Owner

Name: Environmental Data Science Book
Login: eds-book
Kind: organization
Email: environmental.ds.book@gmail.com

Website: https://edsbook.org
Twitter: eds_book
Repositories: 1
Profile: https://github.com/eds-book

Organisation repo of EDS book for governance, outreach and other community-led activities

Citation (CITATION.cff)

cff-version: 1.2.0
message: Please cite the following works when using this project.
abstract: >-
  Notebook developed to demonstrate the computational reproduction of the paper
  A Sensitivity Analysis of a Regression Model of Ocean Temperature, published
  in Environmental Data Science journal.
title: >-
  Learning the Underlying Physics of a Simulation Model of the Ocean's
  Temperature (Jupyter Notebook) published in the Environmental Data Science
  book
authors:
  - family-names: Malhotra
    given-names: Garima
    affiliation: University of Colorado Boulder
    orcid: 0000-0003-4179-628X
    email: garima.Malhotra@colorado.edu
  - family-names: Veizaga
    given-names: Daniela Pinto
    affiliation: University of California, Berkeley
    orcid: 0009-0005-8588-3774
  - family-names: Velasco
    given-names: Jorge Eduardo Peña
    affiliation: Claremont McKenna College
date-released: '2024-08-29'
contact:
  - family-names: Malhotra
    given-names: Garima
    affiliation: University of Colorado Boulder
    orcid: 0000-0003-4179-628X
    email: garima.Malhotra@colorado.edu
identifiers:
  - description: Open review report for this notebook
    type: url
    value: https://github.com/eds-book/notebooks-reviews/issues/10
keywords:
  - Oceans
  - Modelling
  - Special Issue
  - Python
license: MITs
license-url: https://opensource.org/license/MIT
repository: https://github.com/eds-book/3286b92f-4fae-4cc6-a29e-e408bc844542
references:
  - authors:
      - family-names: Furner
        given-names: Rachel
      - family-names: Haynes
        given-names: Peter
      - family-names: Munday
        given-names: Dave
      - family-names: Brooks
        given-names: Paige
      - family-names: Jones
        given-names: Daniel C.
      - family-names: Shuckburgh
        given-names: Emily
    doi: 10.1017/eds.2022.10
    type: article
    scope: >-
      Reproduced paper as part of the 2023 Climate Informatics Reproducibility
      Challenge.
    title: A Sensitivity Analysis of a Regression Model of Ocean Temperature
    journal: Environmental Data Science journal
    year: 2022
type: software
version: v2025.6.0

GitHub Events

Total

Push event: 13
Pull request event: 1
Create event: 1

Last Year

Push event: 13
Pull request event: 1
Create event: 1

Committers

Last synced: 7 months ago

All Time

Total Commits: 243
Total Committers: 4
Avg Commits per committer: 60.75
Development Distribution Score (DDS): 0.317

Past Year

Commits: 36
Committers: 1
Avg Commits per committer: 36.0
Development Distribution Score (DDS): 0.0

Top Committers

Name	Email	Commits
Alejandro ©	a**c@g**m	166
dapivei	d**a@g**m	46
Garima	g**m@u**u	24
jorge	j**4@h**m	7

Committer Domains (Top 20 + Academic)

umich.edu: 1

ecosyste.ms

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