Lifecycles of tropical cyclones predicted in global computer model
The model, called the Nonhydrostatic ICosahedral Atmospheric Model (NICAM), was developed for the supercomputer Earth Simulator at JAMSTEC. Given the atmospheric conditions that were present 1-2 weeks before the observed cyclones formed, the model successfully reproduced the birth of two real tropical cyclones that formed in the Indian Ocean in December 2006 and January 2007.
The model captured the timing and location of the formation of the observed cyclones as well as their paths and overall evolution. “We attribute the successful simulation to the realistic representation of both the large-scale circulation and the embedded convective vortices and their merging,” says Hironori Fudeyasu, lead author of the study and IPRC postdoctoral fellow.
Atmospheric computer models with sufficient detail to represent clouds have greatly added to an understanding of local and regional climate, but huge computational needs in the past have allowed these models to be run only for small areas.
“The high temporal and spatial resolution datasets provided by NICAM in this and future simulations will allow detailed studies of tropical cyclone genesis and evolution, as well as other weather and climate-related phenomena,” says co-author Yuqing Wang, UH meteorology professor and IPRC research team leader. He believes the results will usher in a new era in weather and climate prediction.
Media Contact
All latest news from the category: Earth Sciences
Earth Sciences (also referred to as Geosciences), which deals with basic issues surrounding our planet, plays a vital role in the area of energy and raw materials supply.
Earth Sciences comprises subjects such as geology, geography, geological informatics, paleontology, mineralogy, petrography, crystallography, geophysics, geodesy, glaciology, cartography, photogrammetry, meteorology and seismology, early-warning systems, earthquake research and polar research.
Newest articles
Humans vs Machines—Who’s Better at Recognizing Speech?
Are humans or machines better at recognizing speech? A new study shows that in noisy conditions, current automatic speech recognition (ASR) systems achieve remarkable accuracy and sometimes even surpass human…
Not Lost in Translation: AI Increases Sign Language Recognition Accuracy
Additional data can help differentiate subtle gestures, hand positions, facial expressions The Complexity of Sign Languages Sign languages have been developed by nations around the world to fit the local…
Breaking the Ice: Glacier Melting Alters Arctic Fjord Ecosystems
The regions of the Arctic are particularly vulnerable to climate change. However, there is a lack of comprehensive scientific information about the environmental changes there. Researchers from the Helmholtz Center…