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Improving the Accuracy of Typhoon Forecasts with Radar Data Assimilation

Aug 03, 2020

Gales and rainstorms brought by landfalling typhoons cause extensive casualties and losses of property every year in many coastal areas of the western Pacific. As such, predicting the track and precipitation of typhoons has always been a top priority of weather forecasting.

The structural characteristics of the typhoon and the state of the surrounding environment will directly affect the development trend and track of the typhoon. Therefore, it is of great significance to update and correct the temperature, humidity, wind field, and other information relating to the typhoon and the surrounding area in a timely manner when forecasting typhoons.

Researchers led by ZHANG Lu and TIAN Xiangjun from the Institute of Atmospheric Physics (IAP) of the Chinese Academy of Sciences analyzed a typical typhoon, Typhoon Haikui (2012), and used the multigrid NLS-4DVar method without tangent linear and adjoint models to assimilate Doppler radar data.

The study was published in Advances in Atmospheric Sciences on July 27.

"We analyzed and discussed the predictions of typhoon structure, track, and precipitation," said TIAN, "and we found that after assimilating radar data the intensity of the typhoon was closer to the observations."

According to the study, after the adjustment and improvement of the typhoon structure, the accuracies of the 12-h track and accumulated precipitation forecasts were significantly improved. In addition, the introduction of the multigrid strategy in the assimilation method also improved the efficiency.

"Our study provides a new method for efficient assimilation of a large number of radar data," said TIAN. "We hope it will help improve the accuracy of small- and medium-scale weather forecasts in numerical weather forecasting."

This work was partially supported by the National Key Research and Development Program of China, the National Natural Science Foundation of China, and the Key Research Program of Frontier Sciences, Chinese Academy of Sciences.

Impacts of multigrid NLS-4DVar-based Doppler radar observation assimilation on numerical simulations of landfalling Typhoon Haikui (2012)

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