Model Atlas of the Earth (M@TE)

M@TE is a purpose-built digital platform for geoscience that provides access to computational models of Earth's processes, from the Geosphere to the Hydrosphere, like Zenodo for geoscience but bigger and better.

Funded by

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Featured Models

What is M@TE?

M@TE is a digital platform that provides access to a wide range of computational models and their outputs, focused on Earth's evolution from the Geosphere to the Hydrosphere.

M@te encapsulates the entire model development process—from setup to output and analysis—enabling discovery, data preservation, reproducibility and reuse, offering flexibility for users with varying levels of expertise.

Purpose-built to meet the specific needs of the geoscience community, M@TE is a lasting, sustainable, and scalable resource that supports and leverages research infrastructure. It offers flexible tools for managing, sharing, and preserving numerical models, with built-in DOI creation to ensure persistent, citable access to results. Similar in spirit to Zenodo, but bigger and better for geoscientific modeling.

Why M@TE?

The field of numerical modeling of Earth's systems is rapidly expanding, enabling new insights into the coevolution of the solid Earth and surface processes. These models often require specialized high-performance computing resources, can take days to weeks to run, and generate large volumes of heterogeneous output data. Without proper curation and community standards, it is difficult to access, interpret, and build upon published work.

M@TE addresses these needs by providing:

  • Integrated management of the full model life cycle: code, documentation, output data, publications, figures, animations and metadata
  • Purpose-built infrastructure for storing, preserving, and sharing computational models
  • A central hub connecting educators, model developers, and geoscientists
  • Support for reproducibility and reuse
  • Built-in DOI creation for persistent, citable results
  • Scalable and sustainable research infrastructure
  • Flexibility for users with different levels of expertise
  • Capabilities beyond general-purpose repositories (e.g., Zenodo, Figshare)