Advanced technologies are contributing to weather predictions in the Omsk region, enabling more accurate and reliable forecasts.
Human oversight still plays a role in Omsk's weather forecasting
Weather forecasts in Omsk aren't entirely the product of robots and algorithms, contrary to some beliefs.
Take a peek behind the scenes with Natalia Krivoruchko, the head honcho at the Ob-Irtysh Hydrometeorological Center, who spilled the beans to "Vesti-Omsk" about the forecasting process.
Automated data recording systems at their weather stations gather and process data from ground-based weather stations, forming the basis for several days' worth of forecasts. But there are manual tasks that human meteorologists, known as UGMS employees, carry out, as Natalia explains:
- We've got automated data collection systems at our weather stations, pumping out a large volume of data, encryption included - done via special channels. In the past, a human hand used to encrypt this info manually using international codes, she says. But these days, the only manual input comes from data we don't have automated sensors for - cloud cover, soil and snow surface conditions, atmospheric phenomena like rain or snow.
So, while AI might have taken over much of the grunt work, it can't completely replace the human touch in creating weather forecasts.
In the past, manual data entry involved typing information into a computer or using specialized software. Today, the data is verified against other sources to ensure accuracy, before being integrated with auto-collected data for better forecasting results. Finally, the forecast is ready for public consumption via various channels.
So, the next time you're curious about why it's raining cats and dogs, remember that a human meteorologist's keen eye and careful manual input might have played a role in that prediction!
Artificial Intelligence might handle a significant portion of the weather forecasting process, but it doesn't account for factors like cloud cover, soil and snow surface conditions, or atmospheric phenomena such as rain or snow, which human meteorologists, known as UGMS employees, assess manually.
Although technology has streamlined various aspects of weather forecasting, human oversight is still actively involved in verifying data for accuracy before integrating it with automated data for improved forecasting results.
