The consequences of COVID-19 continue: with fewer commercial airline flights, weather models have less data.
During their time in the skies, commercial airplanes regularly log a variety of meteorological data, including air temperature, relative humidity, air pressure and wind direction — data that is used to populate weather prediction models…
With less spring meteorological data to work with, forecasting models have produced less accurate predictions, researchers said. Long-term term forecasts suffered the most from a lack of meteorological data, according to the latest analysis…
Forecast accuracy suffered the most across the United States, southeast China and Australia, as well as more remote regions like the Sahara Desert, Greenland and Antarctica.
Though Western Europe experienced an 80 to 90 percent drop in flight traffic during the height of the pandemic, weather forecasts in the region remained relatively accurate. Chen suspects the region’s densely-packed network of ground-based weather stations helped forecasters continue to populate models with sufficient amounts of meteorological data.
Models, whether for pandemics or weather, need good input. Better data up front helps researchers adjust models to fit past patterns and predict future outcomes. Absent of data, it can be hard to fit models, especially in complex systems like weather.
As noted above, there are other ways to obtain weather data. Airplanes offered a convenient way to collect data: thousands of regular flights could lead to a lot of data. In contrast, constructing ground stations would require more resources in the short-term.
Yet, any data collector needs to remain flexible. One source of data can disappear, leading to a new approach. Or, a new opportunity might arise and switching methods makes sense. Or, those studying and predicting weather could develop multiple good sources of data that could options or redundancy amid black swan events.
Few may recognize all of this is happening. Weather forecasts will continue. Behind the scenes, we might even get better weather models in the long run as researchers and meteorologists adjust.