Weather Forecasts Are Less Accurate Due To Covid-19: Study

A study out this week by Dr. Ying Chen, a senior research associate at Lancaster University's Environment Centre, highlights this problem. The study found that the "accuracy of surface meteorology forecast in March-May 2020 decreases remarkably" as flight density drops due to Covid-19.

As the US heads into peak hurricane season, a reduction in commercial airline flights due to Covid-19 has significantly impacted our ability to accurately forecast the weather.

A study out this week by Dr. Ying Chen, a senior research associate at Lancaster University’s Environment Centre, highlights this problem.

The study found that the “accuracy of surface meteorology forecast in March-May 2020 decreases remarkably” as flight density drops due to Covid-19.

The research examined weather forecasts from March 2020 and compared them to actual observed weather in the same time frame.

“It is the temperature forecast where accuracy went down,” says Chen.

Patterns of hot and cold air are critical in hurricane formation and prediction. If temperatures cannot be tracked accurately, it could be more challenging to identify hotspots early on.

The forecasts that meteorologists create for hurricanes rely in part on computer models. These models are only as good as the data that is put into them.

This data comes from a variety of tools, including aircraft, cruise ships, satellites, buoys, weather balloons, ground stations, and radar. The Covid-19 outbreak has significantly reduced the amount of data we get from two of those tools — aircraft and cruises.

More importantly, meteorologists find themselves at a greater disadvantage, especially over water, where these observation tools are already limited.

Over land, they can just launch extra weather balloons or add additional ground stations to help make up the loss of flight data.

But they can’t do that over water. Buoys are unevenly distributed and are notorious for data errors. These floating devices alone can’t provide a complete and accurate picture of a particular region of the ocean.

Meteorologists need the combination of all available tools to accurately understand the state of the atmosphere across the globe at a given point in time.

This is especially critical in a year forecast to have a very active hurricane season. The data that feeds into hurricane forecast models has already been significantly reduced. On average, aircraft observations provide about 13% of the data that goes into the European model.

According to the European Centre for Medium-Range Weather Forecasts (ECMWF), if all flight data was gone, the accuracy of forecast models would decrease by up to 15%.

One way to make up for some of that data loss is having other observation tools gather additional data.

“When the National Weather Service is anticipating high impact weather events, such as a possible tornado outbreak or a potential landfalling hurricane, (it) will usually conduct ‘special’ weather balloon launches to take additional weather measurements in the upper levels of the atmosphere,” explains Kyle Theim, a meteorologist with the NWS in Atlanta.

“The accuracy and precision of our weather models are paramount, and these additional observations can then help weather models and forecasters predict how extreme weather events will unfold.”

Another way to bridge that gap is hurricane hunter reconnaissance missions. These surveillance missions will be vital in the collection of crucial information on the atmosphere this year.

Several months ago, a research publication by the Scripps Institution of Oceanography at UC-San Diego, showed the added importance of these flights in collecting data over the water.

“We find that the reconnaissance soundings have significant beneficial impact.”

Data collected by hurricane hunter reconnaissance flights is especially effective and can help make up the loss caused by the drop in commercial flights and cruises.

This is especially important for tropical systems where temperature and wind observations are fundamental in getting a more accurate forecast.

The study found that the differences vary by location. Remote areas like Greenland and Siberia saw the greatest issues with lower flight numbers.

“This is because assimilation of aircraft observations provides a much larger improvement in forecasts over regions where very limited conventional observations are available,” says the study.

It is already difficult to forecast for these remote regions, so the loss of flight data has a greater impact.

“Degradation of the weather forecast is more substantially in the Northern Hemisphere than the Southern Hemisphere,” says Chen.

The Northern Hemisphere has more population and significantly more flights than the Southern Hemisphere

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