Thursday July 18, 2019
Home Lead Story Researchers D...

Researchers Develop an Algorithm to Predict Storms, Cyclones

This research is an early attempt to show feasibility of AI-based interpretation of weather-related visual information

0
//
Hurricane
In this image provided by NOAA, Tropical Storm Gordon approaches the United States. VOA

Using Artificial Intelligence (AI), researchers have developed an algorithm to detect cloud formations that lead to storms, hurricanes and cyclones.

The study, published in the journal IEEE Transactions on Geoscience and Remote Sensing, shows a model that can help forecasters recognise potential severe storms more quickly and accurately.

The researchers created a framework based on Machine Learning (ML) — a kind of AI — that detects rotational movements in clouds from satellite images that might have otherwise gone unnoticed.

“The very best forecasting incorporates as much data as possible, there’s so much to take in as the atmosphere is infinitely complex. By using the models and the data we have, we’re taking a snapshot of the most complete look of the atmosphere,” said Steve Wistar, Senior Forensic Meteorologist at AccuWeather in the US.

For the study, researchers analysed more than 50,000 US weather satellite images and identified and labelled the shape and motion of ‘comma-shaped’ clouds.

These cloud patterns are strongly associated with cyclone formations which can lead to severe weather events including hail, thunderstorms, high winds and blizzards, they said.

cyclone kenneth, torrential rain
An aerial shot shows widespread destruction caused by Cyclone Kenneth when it struck Ibo island north of Pemba city in Mozambique, May, 1, 2019 (Representational image). VOA

Then, using computer vision and ML techniques, the researchers taught computers to automatically recognize and detect ‘comma-shaped’ clouds in satellite images.

The computers could then assist experts by pointing out in real time where, in an ocean of data, could they focus their attention in order to detect the onset of severe weather.

“Because the ‘comma-shaped’ cloud is a visual indicator of severe weather events, our scheme can help meteorologists to forecast such events,” said study lead author Rachel Zheng from Penn State University in the US.

The researchers found that their method can effectively detect ‘comma-shaped’ clouds with 99 per cent accuracy, at an average of 40 seconds per prediction.

Also Read- Apple my Role Model on Unlocking Users’ Data: Huawei Founder

It was also able to predict 64 per cent of severe weather events, outperforming other existing severe weather detection methods.

This research is an early attempt to show feasibility of AI-based interpretation of weather-related visual information. (IANS)

Next Story

Researchers: Friends in High Places may Get You Recognised but Harm Your Chance at Glory

These findings should invite some healthy cynicism among those who still have unconditional faith in the universalistic principles

0
Researchers, Friends, Harm
Being friends with an award juror can increase a person's chance of being nominated but decrease their chances of being selected as the victor. Pixabay

Researchers have found that friends in high places may get you recognised but ultimately harm your chance at glory.

Being friends with an award juror can increase a person’s chance of being nominated but decrease their chances of being selected as the victor, according to the study published in the Academy of Management Journal.

“These findings should invite some healthy cynicism among those who still have unconditional faith in the universalistic principles that are supposed to inspire meritocratic institutions, but should also come as hopeful news to those who have long lost that faith,” said Simone Ferriani, Professor at the University of Bologna.

For the study, researchers combined statistical analysis of eight years of decision-making data from the most prestigious Norwegian advertising industry competition with industry member interviews and sought to understand how relationships between jurors and entrants affect competition results.

Researchers, Friends, Harm
Researchers have found that friends in high places may get you recognised but ultimately harm your chance at glory. Pixabay

Three relationship dynamics were used to understand how jurors’ decisions are influenced direct ties — the extent to which jury members tend to favour candidates with whom they have worked in the past. Reciprocity — the extent to which jury members tend to favour candidates from whom they have themselves been favoured in the past.

Cliquishness — the extent to which jury members tend to favour candidates who are part of the same network clique as the jury members.

The researchers found that while all three dynamics can improve a candidate’s chance of receiving an honourable mention, only reciprocity boosts their chances of being the victor.

“Having a direct tie to, or being a part of the same clique as an award juror can help candidates be shortlisted or nominated but then actually prevent them winning,” he said.

Also Read- Chinese Scientists Develop Combined Tumor-Killing Therapy

“This, we believe, is because people in charge of granting prestigious honours may be driven by self-serving relational interests, as much as the genuine desire to signal their moral integrity and deflect potential inauthentic concerns away,” he added. (IANS)

<