Giter Club home page Giter Club logo

pyxpcm's Introduction

pyXpcm: Ocean Profile Classification Model

DOI-Software DOI-Paper
Documentation Status CI tests codecov PyPI
contributions welcome

pyXpcm is a python package to create and work with ocean Profile Classification Model that consumes and produces Xarray objects. Xarray objects are N-D labeled arrays and datasets in Python.

A ocean Profile Classification Model allows to automatically assemble ocean profiles in clusters according to their vertical structure similarities.
The geospatial properties of these clusters can be used to address a large variety of oceanographic problems: front detection, water mass identification, natural region contouring (gyres, eddies), reference profile selection for QC validation, etc... The vertical structure of these clusters furthermore provides a highly synthetic representation of large ocean areas that can be used for dimensionality reduction and coherent intercomparisons of ocean data (re)-analysis or simulations.

Why pyXpcm?

The Ocean dynamics and its 3-dimensional structure and variability is so complex that it is very difficult to develop objective and efficient diagnostics of horizontally and vertically coherent oceanic patterns. However, identifying such patterns is crucial to the understanding of interior mechanisms as, for instance, the integrand giving rise to Global Ocean Indicators (e.g. heat content and sea level rise). We believe that, by using state-of-the-art machine learning algorithms and by building on the increasing availability of ever-larger in situ and numerical model datasets, we can address this challenge in a way that was simply not possible a few years ago. Following this approach, Profile Classification Modelling focuses on the smart identification of vertically coherent patterns and their space/time distribution and occurrence.

Documentation

https://pyxpcm.readthedocs.io

Install

Latest release:

pip install pyxpcm

Development version:

pip install git+https://github.com/obidam/pyxpcm.git

Dev roadmap

This library has shown to be quiet robust over a couple of years now: it kept working without active dev and was used in numerous research papers as well to create new tools in big projects like Blue-Cloud and Euro-Argo RISE (see here for Argo floats QC and here for boundary currents monitoring).

Our plan is a new release in 2024 that will:

pyxpcm's People

Contributors

gmaze avatar ocefpaf avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.