Moscow [Russia], January 10: According to Sergei Soldatenko of the Arctic and Antarctic Research Institute (AARI), applying artificial intelligence methods to past and present observations of the climate system, it is expected to create an application that will predict the climate in very advanced terms.
In their work, experts from AARI and the Institute of Nature Management of the National Academy of Sciences of Belarus will focus on modeling the climate in the two countries over a period of 20 years.
Soldatenko explained that predicting weather for months and 20 years ahead is a grey area, where there is a high degree of uncertainty due to many factors that are difficult to predict.
Classical methods do not allow forecasts to be properly accounted for, but digital, self-learning systems are believed to solve this problem.
The scientist stressed that scientific teams from the two countries intend to develop a self-learning earth system modelling system and apply it to ultra-long term weather forecasting and climate prediction.
Attempts to apply artificial intelligence technology to climate problems have a short history so far and are essentially innovative, the scientist said.
Soldatenko called the main task to create a completely new tool, which does not negate everything that has already been done by climatologists and mathematicians, but provides information about the future climate, which the current methods do not provide. He said that it is planned to use the results of developments in the institutions of Roshydromet.
In July 2022 Russian President Vladimir Putin and President of Belarus Alexander Lukashenko confirmed the willingness to further strengthen the partnership and alliance between the two countries. The leaders discussed bilateral cooperation in the course of their telephone conversation, as reported by Prensa Latina, a partner of TV BRICS.
Source: TV Brics
