5 ms·

Disclaimer: not a meteorologist. > But what kind of data do I need to run my own weather forecast on my computer? I believe it's a combination of plain old me

Disclaimer: not a meteorologist. > But what kind of data do I need to run my own weather forecast on my computer? I believe it's a combination of plain old measurements (wind direction + speed, temperature, humidity, etc etc), RADAR, and a lot of historic precedence. I don't know how much of that is open-sourced, but I think it'd be easier to hook onto the api of your national weather broadcasting websites and ask them what your weather will be for the next 12 hours.

omrjml 8y ago
It may be possible, with a lot of work, to get the model up and running, but to get any type of accuracy out of the model, realtime data assimilation of observations is key and that is possibly even more complex. So I'll agree with the comment that it may be easier to just hook into a national weather service API. Of course, if you just want to learn about getting these models up and running then it's worth trying. (I work at a national met service developing these models.)
deleted 8y ago
[deleted]
segfaultbuserr 8y ago
ofc it won't be reliable at all, especially compared to the national weather service. I meant doing it for educational purposes, for fun, not for profit, so I'm here to ask about the types of data needed and the availability of these data, etc, for running such forecast (not meant to use this specific model, I think it would be impressive to replicate how numerical weather forecasting was done in the 1970s on today's computer with real data).
angry_octet 8y ago
Most of the data comes from satellite observation. The US does have a very high density of RADAR as well. Sounding balloons and fixed weather stations are the traditional inputs. There is no explicit historical data, though arguably it is present in the use of particular schemes (weather speak for: we tweaked these magic numbers in the model so it gave good forecasts). You can easily run WRF with the NOAA GFS as initial conditions, it would easily run on an iPhone computationally, but practically it will work on your desktop Linux box. http://www2.mmm.ucar.edu/wrf/users/supports/tutorial.html http://www2.mmm.ucar.edu/wrf/users/supports/tutorial.html They have a containerized version too, which will save much fiddling with compilers and libraries. https://github.com/NCAR/container-wrf/ https://github.com/NCAR/container-wrf/

omrjml 8y ago

It may be possible, with a lot of work, to get the model up and running, but to get any type of accuracy out of the model, realtime data assimilation of observations is key and that is possibly even more complex. So I'll agree with the comment that it may be easier to just hook into a national weather service API. Of course, if you just want to learn about getting these models up and running then it's worth trying. (I work at a national met service developing these models.)

deleted 8y ago

[deleted]

segfaultbuserr 8y ago

ofc it won't be reliable at all, especially compared to the national weather service. I meant doing it for educational purposes, for fun, not for profit, so I'm here to ask about the types of data needed and the availability of these data, etc, for running such forecast (not meant to use this specific model, I think it would be impressive to replicate how numerical weather forecasting was done in the 1970s on today's computer with real data).

angry_octet 8y ago

Most of the data comes from satellite observation. The US does have a very high density of RADAR as well. Sounding balloons and fixed weather stations are the traditional inputs. There is no explicit historical data, though arguably it is present in the use of particular schemes (weather speak for: we tweaked these magic numbers in the model so it gave good forecasts). You can easily run WRF with the NOAA GFS as initial conditions, it would easily run on an iPhone computationally, but practically it will work on your desktop Linux box. http://www2.mmm.ucar.edu/wrf/users/supports/tutorial.html http://www2.mmm.ucar.edu/wrf/users/supports/tutorial.html They have a containerized version too, which will save much fiddling with compilers and libraries. https://github.com/NCAR/container-wrf/ https://github.com/NCAR/container-wrf/