https://comet-toolkit.github.io/comet_website/tag/workshops/WorkshopsHugo Blox Builder (https://hugoblox.com)en-usSun, 01 Mar 2026 00:00:00 +0000https://comet-toolkit.github.io/comet_website/media/logo_hu8565871317096902300.pnghttps://comet-toolkit.github.io/comet_website/tag/workshops/https://comet-toolkit.github.io/comet_website/latest-news/26-03-12-spring-2026-workshops/Sun, 01 Mar 2026 00:00:00 +0000https://comet-toolkit.github.io/comet_website/latest-news/26-03-12-spring-2026-workshops/<p>CoMet has a booked and busy Spring 2026 - with five workshops planned across the season.</p> <p>These sessions are delivered with our partners across academic and professional programmes, more information about each organisation/event is linked below.</p> <p>For any events where public registration is available, we will post the details closer to the date!</p> <hr> <h2 id="1-imperial-college-london">1. Imperial College London</h2> <p>🗓 <strong>When:</strong> Thursday 19th March</p> <p>📍 <strong>Where:</strong> Imperial College London (London, UK)</p> <p> <figure > <div class="flex justify-center "> <div class="w-100" ><img src="assets/media/imperial.png" alt="imperial" loading="lazy" data-zoomable /></div> </div></figure> </p> <hr> <h2 id="2-pangeos">2. Pangeos</h2> <p>🗓 <strong>When:</strong> Monday 23rd March</p> <p>📍 <strong>Where:</strong> Online</p> <p>🔗 <strong>More information:</strong> <a href="https://pangeos.eu/" target="_blank" rel="noopener">https://pangeos.eu/</a></p> <p> <figure > <div class="flex justify-center "> <div class="w-100" ><img src="assets/media/pangeos.png" alt="pangeos" loading="lazy" data-zoomable /></div> </div></figure> </p> <hr> <h2 id="3-wavelength-conference-2026">3. Wavelength Conference 2026</h2> <p>🗓 <strong>When:</strong> Thursday 9th April</p> <p>📍 <strong>Where:</strong> National Physical Laboratory (Teddington, UK)</p> <p>🔗 <strong>More information:</strong> <a href="https://rspsoc.org.uk/" target="_blank" rel="noopener">https://rspsoc.org.uk/</a></p> <p> <figure > <div class="flex justify-center "> <div class="w-100" ><img src="assets/media/wavelength.png" alt="wavelength" loading="lazy" data-zoomable /></div> </div></figure> </p> <hr> <h2 id="4-aria">4. ARIA</h2> <p>🗓 <strong>When:</strong> Wednesday 15th April</p> <p>📍 <strong>Where:</strong> National Physical Laboratory (Teddington, UK)</p> <p>🔗 <strong>More information:</strong> <a href="https://aria.org.uk/" target="_blank" rel="noopener">https://aria.org.uk/</a></p> <p> <figure > <div class="flex justify-center "> <div class="w-100" ><img src="assets/media/aria.jpeg" alt="aria" loading="lazy" data-zoomable /></div> </div></figure> </p> <hr> <h2 id="5-met4eo">5. Met4EO</h2> <p>🗓 <strong>When:</strong> 20th-22nd May</p> <p>📍 <strong>Where:</strong> National Physical Laboratory (Teddington, UK)</p> <p>🔗 <strong>More information:</strong> <a href="https://www.qa4eo.org/met4eo/" target="_blank" rel="noopener">https://www.qa4eo.org/met4eo/</a></p> <p> <figure > <div class="flex justify-center "> <div class="w-100" ><img src="assets/media/met4eo.png" alt="met4eo" loading="lazy" data-zoomable /></div> </div></figure> </p> <hr> <h3 id="-in-these-tutorial-we-will">🗸 In these tutorial, we will:</h3> <ul> <li>Introduce the key concepts behind metrological uncertainty propagation</li> <li>Walk through the core components of the toolkit: <ul> <li><strong>punpy</strong> – for robust uncertainty propagation with support for error-correlation structures</li> <li><strong>obsarray</strong> – for managing and storing uncertainty metadata in a self-describing, traceable format</li> </ul> </li> <li>Work through a sensor calibration example using Google Colab-based Jupyter notebooks</li> </ul> <p>We’ll also provide support to get you started using CoMet with your own example use-case if time permits — so feel free to bring a Python example from your work involving measurement uncertainty.</p> <p>Whether you&rsquo;re working in satellite Cal/Val, EO data processing, or any other measurement-driven field, this session will help you implement rigorous, traceable uncertainty handling in your processing chains.</p> <h3 id="-no-installation-is-required-beforehand--all-examples-will-run-in-google-colab">🗸 No installation is required beforehand – all examples will run in Google Colab!</h3>