A research team led by Associate Professor Norihiko Sugimoto of Keio University introduced a method to assimilate observation data into an atmospheric general circulation model that simulates the flow of the atmosphere of Venus with a computer, and is the world's first data assimilation system for the general circulation of Venus. Was successfully developed.

 Venus, also known as the Earth's twin star, is considered to be the planet most similar in size and average density to the Earth in our solar system.However, the entire Venus is covered with a thick cloud layer, and it is said that understanding of the motion inside the atmosphere is delayed compared to Earth and Mars.

 This research group introduced a method called "ensemble data assimilation", which is an assimilation method of observation data used in the atmosphere of the earth and Mars, into the Venus atmospheric general circulation model AFES-Venus, and is the world's first to assimilate the Venus atmosphere. Developed a data assimilation system.To verify this effectiveness, an assimilation experiment using simulated observation data obtained by numerical simulation and observation data of the past Venus explorer "Venus Express" was performed using the supercomputer "Earth Simulator" of the Ocean Development Research Organization. It was carried out.
As a result, it is said that the planetary-scale atmospheric waves included in the observation data were correctly reproduced in the atmospheric general circulation model, even though the observation data was limited in space and time. I was able to show its usefulness.

 Currently, high-resolution and high-frequency observation data are being obtained by the Venus probe "Akatsuki".In the future, by applying this data assimilation system to the observation data of "Akatsuki", it is expected that the mystery of Venus will be elucidated in an innovative manner.

Paper information:[Scientific Reports] Development of an ensemble Kalman filter data assimilation system for the Venusian atmosphere

Keio University
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