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meteo-jeff

HN member
Joined
Sun, Sep 12, 2021, 10:17 AM UTC
HN karma
547
Public activity
70 items

About meteo-jeff

Passionate about meteorology, data science and software development. Home at https://open-meteo.com/

Recent public activity

  1. comment
    Comment #38276337

    I would like to see an independent forecast comparison tool similar to Forecast Advisor, which evaluates numerical weather models. However, getting reliable ground truth data on a …

  2. comment
    Comment #38274527

    Traditional database systems struggle to handle gridded data efficiently. Using PG with time-based indices is memory and storage extensive. It works well for a limited number of lo…

  3. comment
    Comment #38270652

    Not yet, but I am working towards it: https://github.com/open-meteo/open-meteo/issues/206

  4. comment
    Comment #38270329

    Both APIs use weather models from NOAA GFS and HRRR, providing accurate forecasts in North America. HRRR updates every hour, capturing recent showers and storms in the upcoming hou…

  5. comment
    Comment #38269173

    Sorry, decades. KML files for storm tracks are still the best way to go. You could calculate storm tracks yourself for other weather models like DWD ICON, ECMWF IFS or MeteoFrance …

  6. comment
    Comment #38267254

    Extreme weather is predicted by numerical weather models. Correctly representing hurricanes has driven development on the NOAA GFS model for centuries. Open-Meteo focuses on provid…

  7. comment
    Comment #38266440

    In case someone is looking for historical weather data for ML training and prediction, I created an open-source weather API which continuously archives weather data. Using past and…

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  10. comment
    Comment #35389569

    I have heard the same regarding 5xx errors in the past couple of months. I am also working on open-source weather API https://open-meteo.com/ . It covers most of WeatherKit feature…

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    Comment #35344772

    You can try my API: https://open-meteo.com/en/docs/historical-weather-api

  13. comment
    Comment #34975164

    That’s exactly what I want to change with my open source weather api https://open-meteo.com It collects raw weather mode data and redistributes weather forecasts with simple APIs B…

  14. comment
    Comment #34336159

    Snowfall is already available in the historical weather API. Because the resolution is fairly limited for long term weather reanalysis data, snow analysis for single mountains slop…

  15. comment
    Comment #34332250

    Hi, creator of open-meteo.com here! I am using a more wide range of weather models to better cover Europe, Northern Africa and Asia. North America is covered as well with GFS+HRRR …

  16. comment
    Comment #34303255

    I am working on an open source weather api: https://open-meteo.com If you are looking for raw weather forecast data, it could be a good start

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  20. comment
    Comment #32002319

    Thanks for the info. Snowfall was recently added. I am afraid there could be a bug with that particular variable. Temperature, clouds, etc, seem fine EDIT: Issue identified and wil…

  21. comment
    Comment #32001534

    I have not. It looks promising as it seems to offer multi dimensional data storage and some compression aspects. I must also admit, that I like my simple approach of just keeping d…

  22. comment
    Comment #32001479

    `300 GB` to `10 GB` was bit over optimistic ;-) 300 GB already included 3 weeks of data. `100 GB` to `10 GB` is a more realistic number. Many weather variables like precipitation o…

  23. comment
    Comment #32001388

    Sure. What do you think about "&start_date=20220701" and "&end_date=20220714"? If end_date is not specified, it would return start_date with 7 days forecast

  24. comment
    Comment #31999298

    Yes, it is a combination of delta coding, zigzag, bitpacking and outliner detection. It only works well for integer compression. For text-based data, results are not use-full. SIMD…

  25. comment
    Comment #31999265

    Sure. I bundle a small rectangle of neighbouring locations like 5x5 (= 25 locations). The actual weather model may have a grid like 2878x1441 cells (4 million). Inside the 5x5 chun…