More Sensors Mean Better Forecasts

It's a simple premise - if their models are equivalent, the service taking the most readings will usually deliver the most accurate forecasts.

Many projects over the years have shown that massive quantities of cheap sensors can produce a better aggregate result (better information) than a few very high quality sensors.

I wonder if home weather stations connected to the Internet could be useful, perhaps for tornado if not hurricane prediction.

Sensors Mounted On Commercial Airliners Networked For Most Accurate Weather Forecasts Ever | Popular Science:
"Since 2004, AirDat has honed an entirely different method for gathering more-accurate daily atmospheric data and delivers it to airlines, energy companies with mid-ocean drilling rigs and wind-turbine platforms and, on occasion, to NOAA. The key to AirDat’s success is its wallet-size, airplane-mounted Tropospheric Airborne Meteorological Data Reporting (Tamdar) sensors. The sensors, which test the same variables as weather balloons, provide data from the ground up to 25,000 feet, the key atmospheric segment for short-range forecasting because it’s where most severe weather forms. AirDat now collects info from 160 sensor-equipped planes making daily flights out of 225 airports from Alaska to Florida, and it is in the process of adding another 320. The fleet produces some 6,000 “soundings”—reports created from millions of Tamdar measurements—per day. AirDat scientists run these high-resolution data packages through computer weather models to make up-to-the minute forecasts."

On another tangent, this can also work with audio drivers (lots of "cheap" speakers can produce better sound than a few very good speakers) . . .