Data

Tools

Indexes

Applications

Experiments

Open Source Science

ea34568e-d86e-4720-be2f-3f826f66a26c

Describing a pipeline to preprocess NOAA gridded rainfall reanalysis dataset

https://github.com/eds-book/ea34568e-d86e-4720-be2f-3f826f66a26c

Science Score: 67.0%

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
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (11.1%) to scientific vocabulary

Keywords

climate-dataset environmental-data-science general preprocessing
Last synced: 4 months ago · JSON representation ·

Repository

Describing a pipeline to preprocess NOAA gridded rainfall reanalysis dataset

Basic Info
  • Host: GitHub
  • Owner: eds-book
  • License: other
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 1.48 MB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 1
  • Open Issues: 0
  • Releases: 6
Topics
climate-dataset environmental-data-science general preprocessing
Created over 3 years ago · Last pushed 4 months ago
Metadata Files
Readme License Citation

README.md

Concatenating a gridded rainfall reanalysis dataset into a time series

Continuous integration badge Binder doi notebook review

thumbnail

How to run

Running on Binder

The notebook is designed to be launched from Binder.

Click the Launch Binder button at the top level of the repository

Running locally

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

  1. Check your conda install with conda --version. If you don't have conda, install it by following these instructions (see here)

  2. Clone the repository bash git clone https://github.com/eds-book-gallery/ea34568e-d86e-4720-be2f-3f826f66a26c.git

  3. Move into the cloned repository bash cd ea34568e-d86e-4720-be2f-3f826f66a26c

  4. Create and activate your environment from the .binder/environment.yml file bash conda env create -f .binder/environment.yml conda activate ea34568e-d86e-4720-be2f-3f826f66a26c

  5. 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

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 a pipeline to concatenating a gridded
  rainfall reanalysis dataset into a time series.
title: >-
  Concatenating a gridded rainfall reanalysis dataset into a time series
  (Jupyter Notebook) published in the Environmental Data Science book
authors:
  - family-names: Lam
    given-names: Timothy
    affiliation: University of Exeter
    orcid: 0000-0002-0148-935X
    email: tl493@exeter.ac.uk
  - family-names: Kretschmer
    given-names: Marlene
    affiliation: University of Reading
    orcid: 0000-0002-2756-9526
  - family-names: Adams
    given-names: Samantha
    affiliation: Met Office
    orcid: 0000-0003-3031-4855
  - family-names: Prudden
    given-names: Rachel
    affiliation: Met Office
    orcid: 0000-0001-9672-3489
  - family-names: Saggioro
    given-names: Elena
    affiliation: University of Reading
    orcid: 0000-0002-9543-6338
date-released: '2024-09-13'
contact:
  - family-names: Lam
    given-names: Timothy
    affiliation: University of Exeter
    orcid: 0000-0002-0148-935X
    email: tl493@exeter.ac.uk
identifiers:
  - description: Open review report for this notebook
    type: url
    value: https://github.com/eds-book/ea34568e-d86e-4720-be2f-3f826f66a26c/pull/1
keywords:
  - Atmosphere
  - Preprocessing
  - Standard
  - Python
license: MIT
license-url: https://opensource.org/license/MIT
repository: https://github.com/eds-book/ea34568e-d86e-4720-be2f-3f826f66a26c
type: software
version: v2025.6.0

GitHub Events

Total
  • Push event: 14
  • Fork event: 1
  • Create event: 1
Last Year
  • Push event: 14
  • Fork event: 1
  • Create event: 1

Dependencies

.lock/requirements.txt pypi
  • nc_time_axis *
.github/workflows/binder.yaml actions
  • actions/github-script v3 composite
.github/workflows/build.yaml actions
  • actions/checkout main composite
  • jupyterhub/repo2docker-action master composite
  • notiz-dev/github-action-json-property release composite
.github/workflows/preview.yaml actions
  • actions/checkout v2 composite
  • ad-m/github-push-action master composite
  • addnab/docker-run-action v3 composite
  • notiz-dev/github-action-json-property release composite
.github/workflows/render.yaml actions
  • actions/checkout v2 composite
  • ad-m/github-push-action master composite
  • addnab/docker-run-action v3 composite
  • notiz-dev/github-action-json-property release composite
.github/workflows/test.yaml actions
  • actions/checkout main composite
  • jupyterhub/repo2docker-action master composite
  • notiz-dev/github-action-json-property release composite
.binder/environment.yml pypi
  • nc_time_axis *