Gales and rainstorms brought by landfalling typhoons cause extensive casualties and losses of property every year in many coastal areas of the western Pacific.
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.
ZHANG Lu, TIAN Xiangjun, and their team at the Institute of Atmospheric Physics, 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.
“We analyzed and discussed the predictions of typhoon structure, track, and precipitation,” says TIAN, “and we found that after assimilating radar data the intensity of the typhoon was closer to the observations.”
Read more at: Institute of Atmospheric Physics
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