Advanced Dvorak Technique (ADT)

Dvorak was an American meteorologist best credited for developing the Dvorak technique in the early 1970s.
The technique has been upgraded multiple times since then, and after a recent software update this year, it has been named the Advanced Dvorak Technique (ADT)
The updated technique would improve the tropical storm forecasts by many folds as they would have access to sharper and detailed images than ever before.

The Dvorak technique was a cloud pattern recognition technique based on a concept model of the development and decay of the tropical cyclone.
From the satellite images obtained, the Dvorak technique helps forecasters to do a pattern recognition from the observed structure of the storm, locate its eye and estimate the intensity of the storm.
Through this statistical technique, scientists are able to measure the cyclone’s convective cloud pattern — curved bands, eye and central dense or cold region and shear.
It is the Dvorak technique which gives the best estimates of the cyclone intensity — a vital component while issuing weather warnings.
This version of the tool, experts claim, cannot help make any predictions, measure wind or pressure or any other meteorological parameters associated with the cyclone. But it is a guide to estimate the storm’s intensity and possible intensification — which is crucial for local administration in planning evacuation measures of coastal or other nearby residents.

Today, there continues to be an improved network of land-based meteorological observations, either in the form of taking manual observations, installing automatic weather stations or automatic rain gauges.
On the other hand, ocean observations still remain limited. There are many vast regions across the four oceans that have not been fully examined with meteorological instruments.
Ocean observations are mostly taken by deploying buoys or dedicated ships, but the number of observations from the seas is still not sufficient across the world.

The Dvorak technique has undergone several advancements since its inception.
Even in the present day, when forecasters have access to several state-of-the-art tools like model guidance, animations, artificial intelligence, machine learning and satellite technology, it is the advanced versions of the 50-year-old technique that continues to be widely used.

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