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41554 blogs · [ { "id": "01a087cf-de2b-727c-a6c8-c1d239f19f15", "title": "Progress of AI-weather models over time", "url": "https://raspstephan.github.io/blog/ai-weather-progress/", "published_at": "2024-11-13T00:00:00+00:00" }, { "id": "01a087cf-de2b-727c-a6c8-c1d23a852172", "title": "“If you have a hammer…” - 5 question to ask before starting a machine learning project", "url": "https://raspstephan.github.io/blog/hammer-and-nail/", "published_at": "2021-03-24T00:00:00+00:00" }, { "id": "01a087cf-de2b-727c-a6c8-c1d23b48cd89", "title": "The key challenge for machine learning parameterizations of clouds", "url": "https://raspstephan.github.io/blog/optimization-dichotomy/", "published_at": "2020-08-13T00:00:00+00:00" }, { "id": "01a087cf-de2b-727c-a6c8-c1d23c13dfe5", "title": "WeatherBench: A benchmark dataset for data-driven weather forecasting", "url": "https://raspstephan.github.io/blog/weatherbench/", "published_at": "2020-02-16T00:00:00+00:00" }, { "id": "01a087cf-de2b-727c-a6c8-c1d23c684044", "title": "Sugar, Flower, Fish or Gravel - Now a Kaggle competition", "url": "https://raspstephan.github.io/blog/sugar-flower-fish-gravel-kaggle/", "published_at": "2019-08-14T00:00:00+00:00" }, { "id": "01a087cf-de2b-727c-a6c8-c1d23cc2bb00", "title": "Lorenz ‘96 is too easy! Machine learning research needs a more realistic toy model.", "url": "https://raspstephan.github.io/blog/lorenz-96-is-too-easy/", "published_at": "2019-07-10T00:00:00+00:00" }, { "id": "01a087cf-de2b-727c-a6c8-c1d23cf56360", "title": "Deep Learning (for Atmospheric Scientists): How to get started", "url": "https://raspstephan.github.io/blog/deep-learning-resources/", "published_at": "2019-02-05T00:00:00+00:00" }, { "id": "01a087cf-de2b-727c-a6c8-c1d23d71dba1", "title": "A simple hack to make figures reproducible", "url": "https://raspstephan.github.io/blog/reproducibility-hack/", "published_at": "2017-08-24T00:00:00+00:00" }, { "id": "01a087cf-de2b-727c-a6c8-c1d23de99a7a", "title": "Reproducibility, Part 2 - My experiences", "url": "https://raspstephan.github.io/blog/reproducibility-part2/", "published_at": "2017-07-15T09:00:00+00:00" }, { "id": "01a087cf-de2b-727c-a6c8-c1d23e492859", "title": "Reproducibility, Part 1 - What is it and how to start?", "url": "https://raspstephan.github.io/blog/reproducibility-part1/", "published_at": "2017-07-09T09:00:00+00:00" }, { "id": "01a0e707-4902-7159-9493-6cdef03fab8e", "title": null, "url": "https://raspstephan.github.io/blog/atlantic-clouds/", "published_at": "2017-05-12T16:25:57+00:00" }, { "id": "01a0e707-4903-71e8-be8d-751e79fe6210", "title": null, "url": "https://raspstephan.github.io/_posts/2017-05-12-atlantic-clouds/", "published_at": null }, { "id": "01a0e707-4903-71e8-be8d-751e7aed66ad", "title": null, "url": "https://raspstephan.github.io/_posts/2017-07-09-reproducibility-part1/", "published_at": null }, { "id": "01a0e707-4903-71e8-be8d-751e7af9e736", "title": null, "url": "https://raspstephan.github.io/_posts/2017-07-15-reproducibility-part2/", "published_at": null }, { "id": "01a0e707-4903-71e8-be8d-751e7b713eb2", "title": null, "url": "https://raspstephan.github.io/_posts/2017-08-24-reproducibility-hack/", "published_at": null }, { "id": "01a0e707-4903-71e8-be8d-751e7c150a7a", "title": null, "url": "https://raspstephan.github.io/_posts/2019-02-22-deep-learning-resources/", "published_at": null }, { "id": "01a0e707-4903-71e8-be8d-751e7c78b479", "title": null, "url": "https://raspstephan.github.io/_posts/2019-07-11-lorenz-96-is-too-easy/", "published_at": null }, { "id": "01a0e707-4903-71e8-be8d-751e7d2fb5e0", "title": null, "url": "https://raspstephan.github.io/_posts/2019-08-14-sugar-flower-fish-gravel-kaggle/", "published_at": null }, { "id": "01a0e707-4903-71e8-be8d-751e7e23222f", "title": null, "url": "https://raspstephan.github.io/_posts/2020-02-17-weatherbench/", "published_at": null }, { "id": "01a0e707-4903-71e8-be8d-751e7e31e582", "title": null, "url": "https://raspstephan.github.io/_posts/2020-08-14-optimization-dichotomy/", "published_at": null }, { "id": "01a0e707-4903-71e8-be8d-751e7f0777ed", "title": null, "url": "https://raspstephan.github.io/_posts/2021-03-24-hammer-and-nail/", "published_at": null }, { "id": "01a0e707-4903-71e8-be8d-751e7f978bf9", "title": null, "url": "https://raspstephan.github.io/_posts/2024-11-13-ai-weather-progress/", "published_at": null }, { "id": "01a0e707-4903-71e8-be8d-751e802442e7", "title": null, "url": "https://raspstephan.github.io/blog/", "published_at": null }, { "id": "01a0e707-4903-71e8-be8d-751e80ca8d8d", "title": null, "url": "https://raspstephan.github.io/publications/", "published_at": null }, { "id": "01a0e707-4903-71e8-be8d-751e8186b004", "title": null, "url": "https://raspstephan.github.io/", "published_at": null }, { "id": "01a0e707-4903-71e8-be8d-751e822262cc", "title": null, "url": "https://raspstephan.github.io/research/sugar-flower-fish-gravel/", "published_at": null }, { "id": "01a0e707-4903-71e8-be8d-751e8285a4e1", "title": null, "url": "https://raspstephan.github.io/blog/page2/", "published_at": null }, { "id": "01a0e707-4903-71e8-be8d-751e82ef2344", "title": null, "url": "https://raspstephan.github.io/blog/page3/", "published_at": null } ] posts
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2024
Progress of AI-weather models over time
original ↗
13 Nov 2024
2021
“If you have a hammer…” - 5 question to ask before starting a machine learning project
original ↗
24 Mar 2021
2020
The key challenge for machine learning parameterizations of clouds
original ↗
13 Aug 2020
WeatherBench: A benchmark dataset for data-driven weather forecasting
original ↗
16 Feb 2020
2019
Sugar, Flower, Fish or Gravel - Now a Kaggle competition
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14 Aug 2019
Lorenz ‘96 is too easy! Machine learning research needs a more realistic toy model.
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10 Jul 2019
Deep Learning (for Atmospheric Scientists): How to get started
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5 Feb 2019
2017
A simple hack to make figures reproducible
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24 Aug 2017
Reproducibility, Part 2 - My experiences
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15 Jul 2017
Reproducibility, Part 1 - What is it and how to start?
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9 Jul 2017
https://raspstephan.github.io/blog/atlantic-clouds/
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12 May 2017
Undated
https://raspstephan.github.io/_posts/2017-05-12-atlantic-clouds/
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https://raspstephan.github.io/_posts/2017-07-09-reproducibility-part1/
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https://raspstephan.github.io/_posts/2017-07-15-reproducibility-part2/
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https://raspstephan.github.io/_posts/2017-08-24-reproducibility-hack/
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https://raspstephan.github.io/_posts/2019-02-22-deep-learning-resources/
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https://raspstephan.github.io/_posts/2019-07-11-lorenz-96-is-too-easy/
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https://raspstephan.github.io/_posts/2019-08-14-sugar-flower-fish-gravel-kaggle/
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https://raspstephan.github.io/_posts/2020-02-17-weatherbench/
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https://raspstephan.github.io/_posts/2020-08-14-optimization-dichotomy/
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https://raspstephan.github.io/_posts/2021-03-24-hammer-and-nail/
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https://raspstephan.github.io/_posts/2024-11-13-ai-weather-progress/
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https://raspstephan.github.io/blog/
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https://raspstephan.github.io/publications/
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https://raspstephan.github.io/
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https://raspstephan.github.io/research/sugar-flower-fish-gravel/
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https://raspstephan.github.io/blog/page2/
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https://raspstephan.github.io/blog/page3/
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