Tel Aviv, July 7 (ANI): Researchers from Tel Aviv University, Israel, have said that they can predict the intensity of the next big flood by using common cell phone towers across the United States.
Their model, which analyzes cell phone signals, adds a critical component to weather forecasting never before available.
"By monitoring the specific and fluctuating atmospheric moisture around cell phone towers throughout America, we can cheaply, effectively and reliably provide a more accurate 'critical moisture distribution' level for fine-tuning model predictions of big floods," said Professor Pinhas Alpert, a geophysicist and head of Tel Aviv University's Porter School for Environmental Education.
Cell phone towers emit radio waves that are diminished by moisture in the air, a factor that can be used to improve model warnings on flood levels.
In addition, the researchers measured the rainfall distributions and were able to accurately estimate the size of impending floods before they struck.
This was demonstrated in post-analysis of two case-studies of floods in the Judean Desert in Israel, where cell phone towers and flash floods are abundant.
Using real data measurements collected from the towers, the researchers demonstrated how microwave links in a cellular network correlated with surface station humidity measurements.
The data provided by cell phone towers is the missing link weather forecasters need to improve the accuracy of flood forecasting.
"Our method provides reliable measurement of moisture fields near the flood zone for the first time," said Professor Alpert. "This new tool can add to the bigger picture of understanding climate change patterns in general," he added.
"Accurate predictions of flooding were difficult before because there haven't been enough reliable measurements of moisture fields in remote locations," Professor Alpert further added.
Using the signals collected from cell phone towers as they communicate with base stations and our handsets, weather forecasters will now have a crucial missing piece of information for flood prediction that they never had before.
It will permit forecasters and residents alike to more accurately gauge the danger they face from an impending flood. (ANI)