News Release

New approach could help improve severe-storm forecasting

Peer-Reviewed Publication

Institute of Atmospheric Physics, Chinese Academy of Sciences

New Approach Could Help Improve Severe-Storm Forecasting

image: Accurate atmospheric temperature and moisture information with high temporal/spatial resolutions are two of the key parameters needed in numerical weather prediction (NWP) models to reliably predict high-impact weather events such as local severe storms. A high spectral resolution infrared sounder from geostationary orbit can provide an unprecedented source of near time-continuous, three-dimensional information on the dynamic and thermodynamic atmospheric fields--an important benefit for nowcasting and NWP-based forecasting. Li <em>et al</em>. (2018) demonstrate the added value of geostationary-based high spectral resolution infrared sounder measurements on local severe storm forecasts through a quick regional OSSE (Observing System Simulation Experiment). view more 

Credit: Dr. Jun LI

A geostationary hyperspectral infrared sounder can provide significant support to meteorologists to improve local severe-storm forecasting, according to Dr. Jun Li, Distinguished Scientist at the Space Science and Engineering Center of the University of Wisconsin-Madison, and one of the authors of a recently published study.

"Accurate atmospheric temperature and humidity information with high temporal and spatial resolution is a key parameter for predicting local severe storms with numerical weather prediction models," says Dr. LI. "A high spectral resolution infrared sounder at geostationary orbit can provide near time-continuous, three-dimensional atmospheric thermodynamic information. This unprecedented information on the vertical structure of the atmosphere is important for nowcasting and forecasting high-impact weather events."

Dr. LI and his team--a group of researchers from the Cooperative Institute for Meteorological Satellite Studies (CIMSS) of the University of Wisconsin-Madison, the Center for Satellite Applications and Research (STAR) of the National Environmental Satellite, Data, and Information Service, and the Atlantic Oceanographic and Meteorological Laboratory (AOML) of the Office of Oceanic and Atmospheric Research--have had their findings published in Advances in Atmospheric Sciences. The Geosynchronous Interferometric Infrared Sounder (GIIRS) onboard the Chinese Fengyun-4A satellite, launched in December 2016, became the first hyperspectral IR sounder in geostationary orbit. GIIRS data have been successfully applied to the China Meteorological Administration's operational global four-dimensional variational data assimilation and forecast system, and provided improved track and precipitation forecasts for Typhoons Maria and Ampil. The European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) will in 2022 be launching the Meteosat Third Generation (MTG) series, which will also house a hyperspectral infrared sounder, according to Dr. LI.

In order to study and demonstrate the impact of a geostationary hyperspectral IR sounder on the forecasting of local severe storms, the team has developed a quick regional observation system simulation experiment (r-OSSE) framework and system, including the generation of a high-resolution natural run, observation simulation and validation, and data assimilation for impact studies on local severe-storm forecasting.

"A geostationary hyperspectral IR sounder can reduce the overall analysis and forecast errors with the current assimilation configuration, and further improvements may be achieved with more frequent assimilation and smaller thinning distance," Dr. LI believes. "How to effectively use the high temporal resolution information of the geostationary hyperspectral IR sounder in a data assimilation system becomes key to improving the forecasting of local severe storms and tropical cyclones, which needs to be studied further."

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