accuracy between stations proximate to each other

Greetings, I’m desperate to find a common denominator to determine the most accurate, dependable weather station in my ‘neighborhood’. On the one hand, I would expect a ‘NWS’ station to be reliable and if it also happens to be a regional airport - all the better. . . . BUT NO!

I realize that Weather Watcher is operating as a server for weather data and cannot be responsible for content or its’ accuracy - but WTF?

I prepare weather scripts for dayparts for low power radio and internet radio networks. I’m dealing with:

Weather Bug (provider)
Weather Underground (provider)
National Weather Service (provider) & (stations)
Personal Weather Stations
Backyard Weather Stations

all of which are available to me within a 5 mile radius around our studios and affiliate locations. . .
and although they are reporting for the same proximate area… NONE OF THEM CAN AGREE ON WHAT THE HELL THE WEATHER IS GOING TO BE!!!

I’ve got an airport 5 miles away fed by NWS technology and Weather Underground data that reports that with sun shining this coming Saturday, we can expect a 71% chance of rain. This has been going on since I started having to pay for this service. What’s next? Getting the sunrise and sunset backwards?

I’m unaccustomed to dealing with this level of incompetence.

My question is: which service (weather bug, underground, national, personal) is recommended? I don’t have the time to compile data from multiple sources then interpret what whomever entered the data was thinking. In other words WHO is really generating the data? because it seems that as each station plagiarizes the one before it - the data becomes less trustworthy.

I just want to get to the originator of the data forecast for my area and not have to deal with and can ignore the minions of weather dis-information.

If I have to do all this work - then what the hell am I paying for???

A weather forecast is simply an educated guess as to what the weather will be like in the future. You’re going to see differences between different data sources. Even though, you’ll usually find they are fairly similar. You should use the data source that gives the best results for your area.