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matilda_online

Cloud-based Workflow for Modeling Water Resources in Glacierized Catchments (MATILDA)

https://github.com/phiscu/matilda_online

Science Score: 67.0%

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    Links to: zenodo.org
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Repository

Cloud-based Workflow for Modeling Water Resources in Glacierized Catchments (MATILDA)

Basic Info
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Created about 3 years ago · Last pushed 7 months ago
Metadata Files
Readme License Citation

README.md

MATILDA-Online: Workflow for Modeling Water Resources in Glacierized Catchments

Binder DOI Documentation Status

Welcome to MATILDA-Online, the online companion to the MATILDA glacio-hydrological modeling framework. This repository hosts the extended MATILDA workflow in form of a Jupyter Book. Designed for researchers, practitioners, and students, this workflow guides users from data acquisition to the analysis of climate change impacts on glacierized catchments.

📚 Explore the Jupyter Book on the MATILDA-Online Website.

Installation

You can run most of the workflow in an online environment hosted in mybinder.org. However, calibrating the model is computationally intensive and will be slow to run on a single CPU. For a comprehensive calibration, we recommend downloading the notebooks and running them on a local machine with multi-core processing capabilities.

To run the MATILDA-Online workflow locally, follow these steps:

  1. Clone this repository to your local machine and navigate to its root folder: git clone https://github.com/phiscu/matilda_online.git cd matilda_online
  2. Create and activate a Python environment using the provided environment.yml file. We recommend the use of conda: conda env create -f environment.yml -n matilda_online conda activate matilda_online
  3. Install Jupyter Notebook or Jupyter Lab if not already installed: conda -c conda-forge install jupyterlab
  4. Launch the Jupyter Notebook interface: jupyter lab ---

Workflow Overview

The MATILDA-Online workflow is organized into a series of interactive Jupyter notebooks. These cover all key steps of modeling water resources in glacierized catchments, including catchment delineation, data acquisition, model calibration, and scenario analysis. Below is a detailed flowchart of the workflow:

Workflow Flowchart

Core Routines

The core routines of MATILDA, including the temperature-index melt model and HBV hydrological model, are maintained in the MATILDA repository. The MATILDA-Online workflow integrates these routines into a streamlined educational framework.

Authors

License

This project is licensed under the MIT License. See the LICENSE file for details.

Owner

  • Name: Phillip Schuster
  • Login: phiscu
  • Kind: user
  • Location: Berlin
  • Company: Humboldt-Universität zu Berlin

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it using the following metadata."
title: "MATILDA-Online: Cloud-based Workflow for Modeling wATer resources In gLacierizeD cAtchments"
version: "1.0.0"
doi: "10.5281/zenodo.15712744"
date-released: "2025-06-21"
authors:
  - family-names: "Schuster"
    given-names: "Phillip"
    orcid: "0000-0002-0794-6689"
    affiliation: "Humboldt-Universität zu Berlin, Geography Department"
  - family-names: "Georgi"
    given-names: "Alexander"
    orcid: "0009-0000-9465-6761"
    affiliation: "Humboldt-Universität zu Berlin, Geography Department"
  - family-names: "Janzen"
    given-names: "Mia"
    orcid: "0009-0006-8500-5004"
    affiliation: "Humboldt-Universität zu Berlin, Geography Department"
keywords:
  - glacier modeling
  - hydrology
  - water resources
  - temperature-index melt model
  - HBV model
  - parameter optimization
  - Google Earth Engine
license: "MIT"
repository-code: "https://github.com/phiscu/matilda_online"
url: "https://matilda-online.github.io/jbook/"
abstract: >
  MATILDA-Online is the online companion to the MATILDA glacio-hydrological modeling framework. This repository hosts the extended MATILDA workflow in form of a Jupyter Book. Designed for researchers, practitioners, and students, this workflow guides users from data acquisition to the analysis of climate change impacts on glacierized catchments.

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Last Year
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