Japan Geoscience Union Meeting 2022

Presentation information

[E] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-CG Complex & General

[A-CG36] Dynamics of Oceanic and Atmospheric Waves, Vortices, and Circulations

Wed. May 25, 2022 10:45 AM - 12:15 PM Exhibition Hall Special Setting (2) (Exhibition Hall 8, Makuhari Messe)

convener:Kunihiro Aoki(Japan Agency for Marine Earth Science and Technology), convener:Shane R Keating(University of New South Wales), Yukiharu Hisaki(University of the Ryukyus), convener:Norihiko Sugimoto(Keio University, Department of Physics), Chairperson:Shane R Keating(University of New South Wales), Norihiko Sugimoto(Keio University, Department of Physics)

11:45 AM - 12:00 PM

[ACG36-11] An introduction of seamless detection of cutoff lows and preexisting troughs

*Kasuga Satoru1, Meiji Honda2, Jinro Ukita2, Shozo Yamane3, Hiroaki Kawase4, Akira Yamazaki5 (1.Mie University, 2.Niigata University, 3.Doshisha University, 4.Meteorological Research Institute, 5.JAMSTEC)

Keywords:Cutoff lows

A new automated numerical scheme to detect cutoff lows and their preexisting troughs from meteorological global reanalysis data has been proposed (Kasuga et al. 2021). The proposed scheme quantifies the geometric features of depression from its horizontal height profile. The height slope of a line intersecting the depression bottom and the nearest tangential point (optimal slope) locally indicates not only the intensity but also scale and background height gradient of an isolated depression from a raw snapshot field of geopotential height on a pressure level. Thus, the proposed scheme is easy to handle, and the products are highly objective. In the process of the calculation, a local background height slope is automatically removed from a geopotential height field, so that the cutoff low and its preexisting trough are seamlessly detected as an identical depression. Using two-dimensional Gaussian as a depression in an simply idealized height field, we have confirmed that the above features of the proposed detection are mathematically proved and mathematical features are also observed in the reanalysis. Details of the detection and differences from the preceding schemes will be introduced on the session. A tracking scheme using the parameters obtained from the detection scheme have been also developed and will be introduced in the session A-GC33.