Implementation of a high-resolution atmosphere-ocean coupled model with an ensemble Kalman filter

Masaru KUNII; Kosuke ITO

Presentation information

International Session (Oral)

Symbol A (Atmospheric and Hydrospheric Sciences) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS02] Ultra-high precision mesoscale weather prediction by high performance computing

Tue. May 26, 2015 2:15 PM - 4:00 PM 201B (2F)

Convener:*Kazuo Saito(Forecast Research Department, Meteorological Research Institute), Hiromu Seko(Meteorological Research Institute), Tadashi Tsuyuki(Meteorological Research Institute, Japan Meteorological Agency), Fujio Kimura(Japan Agency for Marine-Earth Science and Technology), Chair:Kazuo Saito(Forecast Research Department, Meteorological Research Institute), Hiromu Seko(Meteorological Research Institute)

3:30 PM - 3:45 PM

[AAS02-07] Implementation of a high-resolution atmosphere-ocean coupled model with an ensemble Kalman filter

*Masaru KUNII¹, Kosuke ITO² (1.Meteorological Research Institute, 2.University of the Ryukyus)

For the application of an ensemble Kalman filtering (EnKF) to limited-area models for regional numerical weather prediction, treating uncertainties of boundary conditions has been one of the major issues. Although there are some previous studies focusing on effectiveness of lateral boundary uncertainties, few studies investigated in detail the impact of perturbing the lower boundary conditions with an EnKF. In this study, a high-resolution atmosphere-ocean coupled model is implemented with the EnKF, so that the sensitivity of SST perturbations on an EnKF data assimilation cycles is evaluated.