JpGU-AGU Joint Meeting 2017

Presentation information

[EE] Oral

M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI28] [EE] Data assimilation: A fundamental approach in geosciences

Mon. May 22, 2017 10:45 AM - 12:15 PM 301B (International Conference Hall 3F)

convener:Shin'ya Nakano(The Institute of Statistical Mathematics), Yosuke Fujii(Meteorological Research Institute, Japan Meteorological Agency), SHINICHI MIYAZAKI(Graduate School of Science, Kyoto University), Takemasa Miyoshi(RIKEN Advanced Institute for Computational Science), Chairperson:Shin'ya Nakano(The Institute of Statistical Mathematics)

11:30 AM - 11:45 AM

[MGI28-10] Potential of assimilating river discharge observations into the atmosphere by strongly coupled data assimilation: Hydrometeorology as an inversion problem

*Yohei Sawada1, Toshiyuki Nakaegawa2, Takemasa Miyoshi1 (1.RIKEN Advanced Institute for Computational Science, 2.Meteorological Research Institute, Japan Meteorological Agency)

Keywords:Coupled Data Assimilation, Floods

We examine the potential of assimilating river discharge observations into the atmosphere by strongly coupled data assimilation. The Japan Meteorological Agency Non-Hydrostatic atmospheric Model (JMA-NHM) is first coupled with the simple rainfall-runoff model. Next, the Local Ensemble Transform Kalman Filter (LETKF) is used for this coupled model to assimilate the observations of the rainfall-runoff model variables into the JMA-NHM model variables. This system enables to do hydrometeorology backward, i.e., to inversely estimate atmospheric conditions from the information of a flood on land surfaces. We will present our recent progress of an Observing System Simulation Experiment (OSSE) to evaluate how the assimilation of river discharge observations improves the skill of forecasting severe rainfalls and floods.