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ECMWF Summer of Weather Code 2020
ECMWF Summer of Weather Code is a collaborative programme where each summer several developer teams work on innovative weather- and climate-related open-source software. ESoWC is organised by the European Centre for Medium-Range Weather Forecasts (ECMWF) and supported by Copernicus.
<br><img src='./ESoWC-1024x512px-JUNE-v3.png' alt='ESoWC' align='center' width='100%'></img>
<br>ESoWC 2020 Projects
Congratulations to the 11 teams that were part of ECMWF Summer of Weather Code 2020:
Generous cloud computing ressources are provided by:
the Copernicus DIAS service WEkEO <br> (powered by CloudFerro) | European Weather Cloud |
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<span style=float:left><img src='./wekeo.jpeg' alt='WEkEO logo' align='left' width='120'><img src='./CloudFerro_logo_vertical.png' alt='cloudferro logo' width='200'></img> | <img src='./ewc_logo.png' alt='EWS logo' align='center' ></img> |
ESoWC 2020 Timeline
1. Application period: 27 Jan - 22 Apr 2020
Browse through the ESoWC 2020 challenges or develop your own project idea. Applications for ESoWC 2020 closed 22 April 2020.
2. Announcement of selected proposals: 1 May 2020
The final ESoWC 2020 project teams were announced on 1 May 2020.
3. Coding period: 4 May - 30 Sep 2020
The 5-month long coding period started 4 May 2020 and lasts until 30 September 2020. During this time, the selected teams team up with experienced mentors and experts in weather, climate, machine-learning and cloud-computing. <br> Follow the progress of the projects here on Github.
4. Final ESoWC day @ECMWF: 16 October 2020
The ESoWC day @ECMWF is the final day of the programme, where each team presented their project results. Watch the recordings:<br>
- Applying AI capabilities to address operations challenges in ECMWF products team
- HPC Performance Profiling Tool
- Conversational Virtual Assistant for users of ECMWF online products and services
- Compressing atmospheric data into its real information
- DeepGEFF - Forecasting wildfire danger
- Air Quality Observation Classification
- Detect Anomaly in Air Quality Stations (DAAQS)
- Exploring deep learning techniques to detect and track tropical cyclones
- UNSEEN-Open
Important links
- ESoWC Frequently Asked Questions
- ESoWC Terms & Conditions
- Follow ESoWC on Twitter, LinkedIn and YouTube