UNIVERSITY OF UTAH NEWS ADVISORY
A method to improve forecasts of when and where hurricanes will make landfall — and how strong they will be at the time — has been devised by Zhaoxia Pu, an assistant professor of meteorology at the University of Utah.
A web feature outlining Pu’s research was released today, April 24, 2006, by the National Aeronautics and Space Administration. A copy is below. The original along with downloadable images, may be found at the following web address: http://www.nasa.gov/vision/earth/lookingatearth/hurricane_landfall.html
Pu was scheduled to present her findings Monday April 24 at the American Meteorological Society’s Conference on Hurricanes and Tropical Meteorology in Monterey, Calif.
During the meeting, which runs through the end of this week, news media representatives may reach Pu by calling and-or leaving messages on her cell phone (801) 673-6698. After Pu returns to Salt Lake City, she may be reached at her office, (801) 585-3864. Her email address is email@example.com
Lee Siegel, science news specialist
University of Utah Public Relations
NASA DATA COMBINED TO IMPROVE HURRICANE LANDFALL FORECASTS
Data gathered from last year’s NASA hurricane research mission and a NASA satellite have improved tropical storm landfall and storm strength forecasts in computer models.
Ocean surface wind data gathered from NASA’s QuikSCAT satellite were combined with data from aircraft sensors dropped into tropical storms and fed into a new generation weather research and forecasting (WRF) computer model used to predict weather. The researchers in this study also used data from the National Oceanic and Atmospheric Administration’s (NOAA) GOES-11 satellite rapid-scan cloud track wind data. When the data were added, the resulting prediction showed improved track and intensity forecast of tropical storms.
“Our results indicate the quite positive impact of those data on forecasts of two landfall storms in last season: tropical storms Cindy and Gert.” said Zhaoxia Pu, scientist at the University of Utah, Salt Lake City, and lead researcher on the study. She reported the results on April 24 at the American Meteorological Society”s Conference on Hurricanes and Tropical Meteorology in Monterey, Calif. The detailed results of this study have been submitted to the Monthly Weather Review for publication.
“By incorporating the aircraft sensor and QuiKSCAT data, the new generation WRF computer model was able to reproduce structure of the rainfalls that caused the flooding during the landfall of two storms,” Pu said.
In July 2005, the Tropical Cloud Systems and Processes (TCSP) mission investigated two hurricanes and several tropical storms. The mission was based at the Juan Santamaria Airfield in San Jose, Costa Rica, and flew 13 NASA ER-2 science flights, including missions to Hurricanes Dennis and Emily. NASA, NOAA, and the Costa Rican Centro Nacional de Alta Tecnologia were participants in the mission.
The P-3 aircraft from the NOAA Hurricane Research Division flew 20 coordinated missions with the NASA research aircraft to investigate developing tropical disturbances. Sensors dropped from airplanes, called dropsondes, gathered data on temperature, winds, pressure and humidity inside the storms.
The team also employed small, unmanned aerial vehicles, a series of balloon-borne weather probes and several low-earth, polar-orbiting and geostationary NASA and NOAA satellites.
The results from this study imply that satellite data are a valuable source for improving tropical cyclone forecasts. In addition, the 2005 field experiment provided valuable data and opportunities for better understanding tropical cyclones.
The new generation WRF computer model is widely used for forecasting and research. It has been used by many local government agencies, research institutes and commercial industries for real-time forecasts.
Pu said that NASA data’s enhancement of WRF hurricane computer model forecasts will encourage the forecast community to incorporate it in all future hurricane forecasts.
For more information about the Tropical Cloud Systems and Processes mission, please visit on the Web:
For field reports from the mission, please visit on the Web: