icesee

A state-of-the-art data assimilation software package for coupling ice sheet models.

https://github.com/kyanjo/icesee

Science Score: 44.0%

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
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.2%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

A state-of-the-art data assimilation software package for coupling ice sheet models.

Basic Info
  • Host: GitHub
  • Owner: KYANJO
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 32 MB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 1
  • Releases: 0
Created over 1 year ago · Last pushed 10 months ago
Metadata Files
Readme Citation

README.md

ICESEE

ICESEE (Ice Sheet State and Parameter Estimator) is a data assimilation software framework designed for coupling with ice sheet models such as ISSM, Icepack, and idealized models like Lorenz-96. It provides a modular, extensible platform for applying ensemble-based data assimilation techniques in glaciological modeling and beyond.


What is ICESEE?

ICESEE simplifies the implementation of advanced data assimilation workflows—such as the Ensemble Kalman Filter (EnKF) and its variants—across a range of geophysical models. It is designed with:

  • A modular Python interface
  • Seamless integration with external model codes (MATLAB, Firedrake, ISSM, etc.)
  • Support for high-performance computing and containerized workflows
  • Scalability for future integration with cloud platforms like AWS and portals like GHUB

Getting Started

To get started with ICESEE:


Supported Models

  • icepack: PDE-based modeling with Firedrake
  • issm: Finite-element ice sheet modeling (via MATLAB interface)
  • lorenz96: Idealized nonlinear DA benchmarking
  • flowline_model: Simple ice flow simulation

Documentation

Explore the Wiki to find:

  • Configuration and setup tips
  • How to implement new models
  • How to extend or modify filters
  • Debugging common issues

Future Plans

  • Integration with AWS for scalable cloud computing.
  • Incorporation into the GHUB online ice sheet platform with enhanced features.

For questions or contributions, please open an issue or pull request on the GitHub repository or contact me at bkyanjo3@gatech.edu

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Kyanjo"
  given-names: "Brian"
  orcid: "https://orcid.org/0000-0002-0995-1051"
- family-names: "Robel"
  given-names: "Alexander"
  orcid: "https://orcid.org/0000-0003-4520-0105"
title: "ICESEE: A state-of-the-art data assimilation software package for coupling ice sheet models."
version: 1.0.0
#doi: 10.5281/zenodo.1234
date-released: 2025-03-18
url: "https://github.com/KYANJO/ICESEE"

GitHub Events

Total
  • Issues event: 1
  • Watch event: 1
  • Delete event: 1
  • Push event: 153
  • Gollum event: 27
  • Pull request event: 27
  • Create event: 2
Last Year
  • Issues event: 1
  • Watch event: 1
  • Delete event: 1
  • Push event: 153
  • Gollum event: 27
  • Pull request event: 27
  • Create event: 2

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 1
  • Total pull requests: 13
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 minute
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 12
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 13
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 minute
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 12
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • KYANJO (1)
Pull Request Authors
  • KYANJO (13)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 8 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
pypi.org: icesee

A state-of-the-art data assimilation software package for coupling ice sheet models.

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 8 Last month
Rankings
Dependent packages count: 9.5%
Average: 31.6%
Dependent repos count: 53.6%
Maintainers (1)
Last synced: 6 months ago