HNHacker News
TopNewBestAskShowJobs

Luka78

56 karma · joined July 19, 2022

submissionscomments
Luka78··on Show HN: Weather forecast API? More accurate with multiple models and ML
API docs: https://www.meteosource.com/documentation

I would love to hear your thoughts – what do you look for in a weather API?

Luka78··on Show HN: Meteosource Weather API: current, forecast and historical data using ML
Thank you for your comments! We will improve some of the points mentioned.
Luka78··on Show HN: Meteosource Weather API: current, forecast and historical data using ML
Meteosource learns from historical data and forecasts from many different models (including those from NOAA), compares the data from different places and meteorological situations, and based on this machine learning creates a single output that minimises individual models' biases and local inaccuracies. This is where it should add value.
Luka78··on Show HN: Meteosource Weather API: current, forecast and historical data using ML
Thank you for your suggestion - is it mainly the FAQ answer which you find a bit puzzling or anything else we should improve on the website?

Regarding forecasts.cloud - this website will focus on our applied modelling (renewable generation etc.) and will serve as an offer of models for specialised industries, not weather API. It is not fully operational yet (the English version will be launched later this year) - I am impressed you have been able to find it :)

Luka78··on Show HN: Meteosource Weather API: current, forecast and historical data using ML
It is originally a European-based company founded in 2007 and started as a website, mobile app, and data provider serving mainly corporate clients. Meteosource as a service (low-cost weather API) started at the end of 2020 and this is just a new service operated by the same company, not rebranded company or anything else... I don't think there is anything sketchy in this.
Luka78··on Show HN: Meteosource Weather API: current, forecast and historical data using ML
The machine learning model combines more weather models as mentioned and this feeds proprietary local models that compute the weather exactly for your location. If you request a specific GPS, the chance of rain will be computed for the exact point based on the orography and nearby grid points.
Luka78··on Show HN: Meteosource Weather API: current, forecast and historical data using ML
Well, most available weather APIs just download data from NOAA and "repackage" them to JSON format and do not add much value.
Luka78··on Show HN: Meteosource Weather API: current, forecast and historical data using ML
Thank you for your comment! We are going to extend the historical weather to 20 years soon. At the moment it is possible to prepare a customised dataset based on your needs - please get in touch at support(at)meteosource.com and we will be happy to help with your specific case.
Luka78··on Show HN: Briefsky – a free Dark Sky clone for multiple weather APIs
I would suggest trying https://www.meteosource.com where you can get all data including 10 day forecast with a text description. There is a free plan for developers with 7 days forecast and a reasonably priced Flexi plan with full data.