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Swift Earth Science (by Swift Software Group)

Empowering Discovery and Innovation for a Sustainable Planet

Swift Earth Science

Empowering Discovery and Innovation for a Sustainable Planet

Welcome to Swift Earth Science, a collaborative platform dedicated to advancing the understanding and application of earth sciences. Our mission is to harness the power of open-source technology to drive innovation in the study of our planet's systems, addressing critical challenges such as climate change, natural resource management, and environmental sustainability.

Our Vision:

  • To be a leading hub for earth science researchers, developers, educators, and enthusiasts to share knowledge, resources, and tools.
  • To foster interdisciplinary collaborations that bridge the gap between scientific research and technology, facilitating accessible, data-driven solutions to global environmental issues.
  • To empower communities worldwide with the knowledge and tools necessary for sustainable development and conservation efforts.

What We Do:

  • Research and Development: We host and contribute to a wide range of projects focused on climate modeling, geospatial analysis, environmental monitoring, and more.
  • Education and Outreach: Our organization provides tutorials, workshops, and resources for learners at all levels.
  • Community Engagement: Swift Earth Science is a community-driven initiative. We encourage contributions from everyone interested in making a difference, whether through code, documentation, educational content, or community management.

Join Us:

We invite scientists, developers, educators, and anyone passionate about earth science to join our community. Whether you're looking to contribute to cutting-edge projects, learn new skills, or simply connect with like-minded individuals, Swift Earth Science offers a welcoming space for collaboration and innovation.

Together, we can create a more sustainable future through the power of open science and community.


© 2024 Swift Software Group

Swift Software Group - Where Ideas Meet Execution.

Pinned

  1. cris-xco-ml cris-xco-ml Public

    Fast Carbon Monoxide Column (XCO) Estimation from Cross-track Infrared Sounder (CrIS) Observations Using Machine Learning

    Jupyter Notebook 1

  2. tropess-notes tropess-notes Public

    A practical guide to using TROPESS data products. Delivered as Jupyter Notebooks in Python

    Jupyter Notebook 1 2

  3. tropess-notes-python tropess-notes-python Public template

    Python code for the TROPESS Notes book

    Jupyter Notebook 1 1

  4. tropess-plots tropess-plots Public

    Plotting data from TROPESS Level 2 products

    Python 1 1

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