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https://github.com/ECMWFCode4Earth/challenges_2020

ECMWF Summer of Weather Code 2020 challenges
https://github.com/ECMWFCode4Earth/challenges_2020

artifical-intelligence atmosphere climate copernicus ecmwf fire julia jupyter machine-learning meteorology python software-development

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ECMWF Summer of Weather Code 2020 challenges

Host: GitHub
URL: https://github.com/ECMWFCode4Earth/challenges_2020
Owner: ECMWFCode4Earth
Created: 2020-01-16T22:22:52.000Z (over 4 years ago)
Default Branch: master
Last Pushed: 2021-05-03T12:15:01.000Z (about 3 years ago)
Last Synced: 2024-02-05T00:55:54.135Z (5 months ago)
Topics: artifical-intelligence, atmosphere, climate, copernicus, ecmwf, fire, julia, jupyter, machine-learning, meteorology, python, software-development
Size: 3.69 MB
Stars: 51
Watchers: 13
Forks: 9
Open Issues: 0
Metadata Files:
- Readme: README.md

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awesome-earthobservation-code - challenges 2020 - ECMWF Summer of Weather Code 2020 challenges (EO code Competitions / GEDI)

README

        # 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)](www.ecmwf.int) and supported by [Copernicus](climate.copernicus.eu). 









## ESoWC 2020 Projects

Congratulations to the 11 teams that were part of ECMWF Summer of Weather Code 2020:

| Project title | Team | Mentors | Supported by |

| ---------- | --------------- | -------------- |---------------------|

| [Elefridge.jl](https://github.com/esowc/Elefridge.jl) | [Milan Kloewer](https://github.com/milankl) | [Miha Razinger](https://github.com/miha-at-ecmwf) 
 [Juan-Jose Dominguez](https://github.com/juanjodd) | [WEkEO](https://www.wekeo.eu/) powered by [CloudFerro](https://cloudferro.com/en/) |

| [Forecasting Wildfire Danger 
 with Deep Learning](https://github.com/esowc/wildfire-forecasting) | [Roshni Biswas](https://github.com/roshni-b) 
 [Anurag Saha Roy](https://github.com/lazyoracle) 
 [Tejasvi S Tomar](https://github.com/tejasvi) | [Claudia Vitolo](https://github.com/cvitolo) 
 [Tianran Zhiang](https://github.com/tianranZH) | [WEkEO](https://www.wekeo.eu/) powered by [CloudFerro](https://cloudferro.com/en/) |

| [ECMWF Conversational Virtual Assistant](https://github.com/esowc/ECMWF-Conversational-Virtual-Assistant) | [Frank Lieber](https://github.com/liefra) 
[Michael Kuhn](https://github.com/MKHallo) | [Anna Ghelli](https://github.com/annaghelli) 
 [Helen Setchell](https://github.com/kiden) 
 [Michela Gusti](https://github.com/MichyG) | [European Weather Cloud](https://www.europeanweather.cloud/) |

| [HPC Performance Profiling Tool](https://github.com/esowc/HPC-performance-profiling-tool) | [Tiberiu Lepadatu](https://github.com/tibi77) | [Olivier Marsden](https://github.com/marsdeno) 
 [Michael Lange](https://github.com/mlange05) 
 [Clara Brune](https://github.com/crbrune) | [European Weather Cloud](https://www.europeanweather.cloud/) |

| [Air Quality Observation Classification 1](https://github.com/esowc/air-quality-observation-classification) | [Gordan Rates](https://github.com/wegiangb) |[Miha Razinger](https://github.com/miha-at-ecmwf) 
 [Johannes Flemming](https://github.com/JohannesFlemming) | [European Weather Cloud](https://www.europeanweather.cloud/) |

| [Detect Anomaly in Air Quality Station (DAAQS)](https://github.com/esowc/DAAQS) |[Mohit Anand](https://github.com/melioristic)
 [Kumar Shridar](https://github.com/kumar-shridhar) |[Miha Razinger](https://github.com/miha-at-ecmwf) 
 [Johannes Flemming](https://github.com/JohannesFlemming) | [European Weather Cloud](https://www.europeanweather.cloud/) |

| Exploring of machine/deep learning 
techniques to detect and 
track tropical cyclines | [Ashwin Samudre](https://github.com/kiryteo) | [Linus Magnusson](https://github.com/linusmagnusson) 
 [Pedro Maciel](https://github.com/pmaciel) | [European Weather Cloud](https://www.europeanweather.cloud/) |

| Applying AI capabilities 
to address Operations challenges
 in ECMWF Products Team | [Adithya Niranjan](https://github.com/Adithya-MN) 
 [Aditya Ahuja](https://github.com/adiah80)| [Matthew Manoussakis](https://github.com/Matthew-Manoussakis) 
 [Peter Dueben](https://github.com/dueben) | [European Weather Cloud](https://www.europeanweather.cloud/) |

| Creating Jupyter-based 
OpenIFS training material | [Ayush Prasad](https://github.com/ayushprd) | [Olivier Marsden](https://github.com/marsdeno) 
 [Michael Lange](https://github.com/mlange05) 
 [Adrien Oyono](https://github.com/aoyono) | [European Weather Cloud](https://www.europeanweather.cloud/) |

| [UNSEEN-Open](https://github.com/esowc/UNSEEN-open) | [Timo Kelder](https://github.com/timokelder) | [Julia Wagemann](https://github.com/jwagemann) 
 Christel Prudhomme | |




Generous cloud computing ressources are provided by: 

|the Copernicus DIAS service [WEkEO](https://www.wekeo.eu/) 
 (*powered by [CloudFerro](https://cloudferro.com/en/)*)|[European Weather Cloud](https://www.europeanweather.cloud/)|

|----------------|:--------------------:|

|||




## ESoWC 2020 Timeline

### 1. Application period: 27 Jan - 22 Apr 2020

Browse through the [ESoWC 2020 challenges](https://github.com/esowc/challenges_2020/issues) 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. 
 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:


* [Applying AI capabilities to address operations challenges in ECMWF products team](https://www.youtube.com/watch?v=oUZx28shIWk)

* [HPC Performance Profiling Tool](https://www.youtube.com/watch?v=hInBkvAfuJ0)

* [Conversational Virtual Assistant for users of ECMWF online products and services](https://www.youtube.com/watch?v=2IfNrdZhxFI)

* [Compressing atmospheric data into its real information](https://www.youtube.com/watch?v=5A33r-fV_Vo)

* [DeepGEFF - Forecasting wildfire danger](https://www.youtube.com/watch?v=6mtFKOIED0s)

* [Air Quality Observation Classification](https://www.youtube.com/watch?v=y4hWq3VBVCA)

* [Detect Anomaly in Air Quality Stations (DAAQS)](https://www.youtube.com/watch?v=2rN-fdkCDyE)

* [Exploring deep learning techniques to detect and track tropical cyclones](https://www.youtube.com/watch?v=1Ie-_y7uGww)

* [UNSEEN-Open](https://www.youtube.com/watch?v=-4kcuzFqeuI)




## Important links

* [ESoWC Frequently Asked Questions](http://esowc.ecmwf.int/FAQ)

* [ESoWC Terms & Conditions](http://esowc.ecmwf.int/terms-and-conditions)

* Follow ESoWC on [Twitter](https://twitter.com/esowc_ecmwf), [LinkedIn](https://www.linkedin.com/showcase/ecmwf-summer-of-weather-code/) and [YouTube](https://www.youtube.com/channel/UCWLn6evyZ6tTktvUSTE1Xow)