WHY CAN'T A COMPUTER FORECAST WEATHER?
Once during a hike, a computer technician friend of mine made a remark something like this:
"With the kinds of computers we have today, they should be able to do a lot better job of weather forecasting than they're doing. You should be able to create a program, feed in the data, and it should tell what the weather is going to do."
Sounds simple enough. I wrote a computer weather forecasting program on my 3,500-byte Commodore Vic 20 for a junior high project in the early 1980s. Enter the wind speed, temperature, humidity and barometer and it spit out a forecast. It was only 56 percent accurate over the course of a month. I just didn't have enough data.
And on a large scale, that's the biggest problem meteorologists have today: They don't have enough data.
Even if you had the perfect weather forecasting program, to be able to accurately forecast weather you would need data for every cubic millimeter of the atmosphere. In reality, weather stations are often 30 or more miles apart or non-existent over the ocean and in remote areas. Satellites and modern radar have allowed us to fill in some of the gaps, but still, when an approaching storm system crosses over an area of sparse human observers and instrumentation hardware, the computer models go crazy trying to forecast something they can't see very clearly.
Forecasters utilize many computer models. A highly trained meteorologist might scan the Global Forecast System, ETA, Canadian, UKMET, European, Navy NOGAPS and Air Force MM5 models in the course of a difficult forecast, each with its own strengths, weaknesses and biases. Some tend to be too cold, others too warm. Some drive systems too far to the south, some lift them too far to the north. One model may show the storm of the century raging up the East Coast in five days, while another may show nothing but high pressure and sunny skies. This last scenario has happened more than once in just the past three weeks.
Each of these models in turn provides multiple "ensembles," or possible solutions to a forecast that vary depending on slight changes. While the main model run may not be showing a certain feature, sometimes the ensembles pick up on something that others are not showing, and this turns out to be closer to correct. And sometimes what the ensembles show is nothing more than a silicon-induced hallucination.
Under ideal circumstances, the models begin converging toward one forecast, moving closer and closer to one another as a given storm system approaches. Rarely do they completely intersect, requiring forecasters to make judgment calls up to the very onset of a storm.
Sometimes, the models wildly diverge from one another at the last minute, leaving forecasters in a quandary. The 1993 superstorm that dumped 18 inches in Roanoke and buried places from Birmingham to Boston was accurately picked up by many forecast models days in advance. The 1996 snowstorm that set Roanoke's 24-hour snowfall record of 22 inches was still not being seen as anything more than a run-of-the-mill snowfall by the National Weather Service's lead model less than a day before it hit.
Computers are no substitute for forecasters' training, experience and instincts. While I may rib the National Weather Service from time to time, I can tell you that the local National Weather Service office in Blacksburg has an excellent handle on the local quirks that throw an added monkey wrench in the forecast: upslope and downslope winds in the mountains, elevation differences, cold air damming in the valleys.
I've learned a lot from their discussions and forecasts over three years about local features that were not a factor in forecasting across the mostly flat plains of eastern Arkansas where I grew up. There, the forecasters had an excellent handle on the dynamics of tornado development, but they frequently fumbled on winter weather situations. It's all about experience and location.
So while there's no doubt that computer models are getting better, they're still no match for eyeballs, neurons and gut instincts. We haven't got the weather figured out, nor shall we in my lifetime. It's too complicated for a computer.