The Azimuth Project
Azimuth Code Project

The Azimuth Code Project is an online open source project that will provide source code for the analysis, simulation and educational software used at the Azimuth project. Our current repositories are hosted by google and available under the LGPL free software licence.

We are concentrating on software that is relevant to the Earth sciences and the study of climate. We have created some online models and we are current at work on an El Niño project. We have a list of other Azimuth code challenges here.

If you would like to participate, we need you! Leave a comment on this thread at the Azimuth Forum.

Contents

Online Models

The Azimuth coding project has produced a number of online models using Javascript, plus the JSXGraph library, which provides high-level support for interactive graphs, plotting and data visualization.

Allan Erskine and Glyn Adgie helped to create an interactive online model of stochastic resonance which you can find here:

Stochastic resonance example.

This model was explained in the blog post Increasing the signal-to-noise ratio with more noise.

Allan Erskine has also created some models of bistability. The first was for a static climate system:

The second was for a dynamical system:

Michael Knap combined the latter model with the work on stochastic resonance to get a stochastic resonance model more explicitly connected to climate physics, which is here:

Taylor Baldwin simplified Michael Knap’s model to make one that will be better suited to a general audience once we add a good simple explanation:

El Niño project

We are also writing software to study the ENSO cycle and methods for predicting El Niños, and publishing our results on the Azimuth Blog:

Some of the software for this is available here:

Philosophy

Many papers in climate science present results that cannot be reproduced. The authors present a pretty diagram, but don’t explain which software they used to make it, don’t make this software available, and don’t really explain their procedures. This is a problem, because scientific results need to be reproducible. Any software that is used in published results deserves to be versioned and published alongside the results.

All of this is true for large climate models such as General Circulation Models as well—but the problem becomes much more serious, because these models have long outgrown the extent where a single developer was able to understand all the code. This is a kind of phase transition in software development: it necessitates a different toolset and a different approach to software development.

See also:

Azimuth Code Project charter (draft statement). Some ideas for a broader perspective on the Azimuth Code Project and its relationships to open source and open science. Feel free to chime in.

Computational Infrastructure

Azimuth srver

Some experiments have been carried out on a prototype server.

Investigations have started into Cloud computing where all services are provided online through a browser and all software installation and maintenance tasks and software development frameworks are handled by the cloud provider.

Code repository

We have a committment to open-source code, and we are building up a repository of code. See Azimuth code repository for the table of contents, with links.

References

See also:

Computational science, Azimuth Library.

Modelling tools, Azimuth Library (so far contains only few links).

Visualization tools, Azimuth Library.

Software engineering in climate science, Azimuth Library.

Functional reactive programming, Azimuth Library.

Semantic web applications and environment, Azimuth Library

Here are some other sites:

nanohub.org, simulations in nano sciences.

aflowlib.org, ab-initio calculations.

Serendipity blog. By Steve Easterbrook, a computer scientist in pursuit of what he calls climate informatics.

• Paul N. Edwards, A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming. Presents a history of the development and an assessment of the current status of the climate science infrastructure.