Probes increases the accuracy of the weather forecast.

March 30, 2010

With El Nino and La Nina, forecasting weather becomes half easier. It’s  going to be hot or very wet. How hot it is going to be or the volume of water pour is a different forecasting in itself. Not so long ago, weather forecast were published only on  the daily newspaper and on prime time television news. Nowadays there is the internet and a full-access of information that comes from the bureau (www.pagasa.dost.gov.ph) and organizations with the same interest. With the high profile case of climate changes, the P.I. is not spared (remembering Ondoy), which brings me to ask how are data gathered for analysis. If i read the daily forecast, it normally provides a temperature range for the whole day, i.e. 25 to 35 deg-C.

Practically that’s taking the probability of 25-35 applied to say 7am to 9pm of the day. Now weather may be the least of your concern from going to the office  ’till you head back home and looking for an umbrella because its raining like crazy. But the same weather can make or break your day. 25-35 will surely provide a good accuracy rate (right) but it is not as precise as we need it to be. Consider bringing umbrella or raincoat and not be able to use it is another way of looking at it.  Probe.

And lots of probes everywhere. I can remember making barometer and anemometer while in primary school as a science project, ever wondered where the gadgets ended up. Fast forward to the present and more technical schools after, we can install this project in every corner of the streets hidden on a lamp post or street signs. Powered by the sun or the harnessed wind and connected to a public wifi – the collected data by these probes can be uploaded to the bureau or a shared database. With different forecasting methods the public data can be very useful!

How about preparing the day with a very useful weather forecast. And there’s no other way to be prepared from a disaster than having a reliable historical data to analyze. Instead of simply watching video clips of the past.

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