Matteo Nurisso

Open source

Scientific software

Tools I develop to access, evaluate and understand the output of high-resolution climate models — written in Python, used in the operational workflow of the Destination Earth Climate Digital Twin, and open to everyone.

GitHub stars across these projects
66
Commits, last 12 months
744
Pull requests opened, last 12 months
187
Issues opened, last 12 months
79

Public activity of @mnurisso on GitHub, fetched live.

Flagship project

AQUA

The Application for QUality Assessment — a model evaluation framework for the Climate Change Adaptation Digital Twin.

AQUA is a model evaluation framework designed for running diagnostics on high-resolution climate models, specifically for Climate DT climate simulations being part of Destination Earth activity. The package provides a flexible and efficient Python 3 framework to process and analyze large volumes of climate data. With its modular design, AQUA offers seamless integration of core functions and a wide range of diagnostic tools that can be run in parallel.

I am one of the main developers of AQUA, and I am responsible for the implementation of the core framework and the development of new diagnostics.

  • Efficient handling of large datasets from high-resolution climate models
  • Support for various data formats, such as NetCDF, GRIB, Zarr or FDB
  • Robust and fast regridding functionality based on CDO
  • Averaging and aggregation tools for temporal and spatial analyses
  • Modular design for easy integration of new diagnostics

Documentation GitHub PyPI conda-forge

Paper (GMD) Zenodo DOI DestinE news

AQUA role in the ClimateDT workflow. Image from the DestinE-ECMWF website.

Install

mamba install -c conda-forge aqua-core

AQUA requires Python 3.12 or newer. A container-based deployment is also available — see the documentation. New to AQUA? Try the ecosystem with the ClimateDT community resources.

Companion package

AQUA diagnostics

The scientific tools that run on top of the AQUA core to monitor and evaluate climate simulations.

AQUA-diagnostics contains the full set of diagnostic tools developed for the Destination Earth Climate Change Adaptation Digital Twin (ClimateDT). It is designed to be used together with the AQUA core framework, which provides data access and preprocessing functionalities.

The package includes the scientific tools configured as diagnostics to run for online monitoring of climate simulations. Diagnostics can be executed standalone via the Python API, or through the aqua analysis wrapper provided by AQUA core. I am a main contributor of AQUA-diagnostics.

Documentation GitHub PyPI Zenodo DOI

Global map of precipitation in a high-resolution climate simulation, with a strong tropical rain band shown in teal over brown dry regions.
Global precipitation field from a high-resolution climate simulation.

How the pieces fit

The AQUA ecosystem

Model output is described by catalogs, read and processed by the core framework, and analysed by a set of diagnostics.

  1. 1

    Climate models

    ICON, IFS-NEMO and IFS-FESOM simulations of the ClimateDT.

    DocsClimate DT user guide

  2. 2

    Catalog

    Describes where and how the ClimateDT data live, so AQUA can find and read them.

    GitHubClimate-DT-catalog

  3. 3

    AQUA core

    Data access, regridding, averaging and aggregation on large datasets.

    GitHubAQUAPyPIaqua-corecondaaqua-corePaperGMDZenodoDOIContaineravailable

  4. 4

    AQUA diagnostics

    State-of-the-art diagnostics on low-resolution data and frontier diagnostics on high-resolution data.

    GitHubAQUA-diagnosticsPyPIaqua-diagnosticsZenodoDOIContaineravailable

Destination Earth

ClimateDT evaluation charts

The AQUA plots of the Climate DT simulations are published on the ClimateDT evaluation charts, part of the Destination Earth platform. Browse how the ICON, IFS-FESOM and IFS-NEMO simulations compare with observations and with each other.

Access requires authentication with a DestinE Platform (DESP) account.

Open the evaluation charts

Three globes showing the same kind of simulation from the ICON, IFS-FESOM and IFS-NEMO models: white clouds, coloured precipitation and swirling ocean temperature and currents.
Climate DT simulations with ICON, IFS-FESOM and IFS-NEMO. Visualization by Andreas Müller (ECMWF), from the Destination Earth website.

Repositories

Projects I work on

Commit counts, stars and versions below are fetched live from GitHub and PyPI.

AQUA

Main developer

The model evaluation framework at the heart of the ecosystem: core engine for data access, regridding and aggregation, part of the operational ClimateDT workflow.

    Repository Docs PyPI package

    Climate-DT-catalog

    Main contributor

    AQUA catalog for Climate DT: describes the ClimateDT simulations so that AQUA can find and read them.

      Repository

      programming_notes

      Author

      A repository with useful notes about coding in C++, python and notes on utilities like git, conda, cluster usage etc.

        Repository

        PLUTO extensions

        Legacy

        Ph.D. and Master work on the PLUTO MHD code: a current sheet detection algorithm with post-reconnection particle energy distributions, and a module for anisotropic cosmic-ray diffusion.

        • C / C++
        • Computational astrophysics

        PLUTO code Paper I Paper II

        Tools of the trade

        Stack

        Languages

        • Python
        • C
        • C++
        • Shell
        • YAML
        • Markdown
        • Jupyter

        Data & formats

        • NetCDF
        • GRIB
        • Zarr
        • FDB
        • CDO

        Workflow

        • git
        • conda / mamba
        • Containers
        • HPC clusters
        • Parallel programming

        Models & codes

        • EC-Earth 4
        • IFS-NEMO
        • IFS-FESOM
        • ICON
        • PLUTO

        Want to get involved? AQUA welcomes new contributors — see the Guidelines for Contributors, or get in touch.

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