Research shows that cyclones follow a precise mathematical formula. Explore this statement.
What are track curvatures and mathematical interpretation of its parameters?
Answers
Answer:
Delivering accurate cyclone forecasts in time is of key importance when it comes to saving
human lives and reducing economic loss. Difficulties arise because the geographical and
climatological characteristics of the various cyclone formation basins are not similar, which
entails that a single forecasting technique cannot yield reliable performance in all ocean basins.
For this reason, global forecasting techniques need to be applied together with basin-specific
techniques to increase the forecast accuracy. As cyclone track is governed by a range of factors
variations in weather conditions, wind pressure, sea surface temperature, air temperature, ocean
currents, and the earth’ rotational force―the coriolis force, it is a formidable task to combine
these parameters and produce reliable and accurate forecasts. In recent years, the availability of
suitable data has increased and more advanced forecasting techniques have been developed, in
addition to old techniques having been modified. In particular, artificial neural network based
techniques are now being considered at meteorological offices. This new technique uses freely
available satellite images as input, can be run on standard PCs, and can produce forecasts with
good accuracy. For these reasons, artificial neural network based techniques seem especially
suited for developing countries which have limited capacity to forecast cyclones and where
human casualties are the highest.
Step-by-step explanation: