Japan Geoscience Union Meeting 2018

Presentation information

[JJ] Evening Poster

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

[A-CG44] Promotion of Application and Utilization of Aircrafts for Earth sciences

Tue. May 22, 2018 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall7, Makuhari Messe)

convener:Nobuhiro Takahashi(Institute for Space-Earth Environmental Research, Nagoya University), Makoto Koike(Department of Earth and Planetary Science, Graduate School of Science, The University of Tokyo), Toshinobu Machida(国立環境研究所, 共同), Taro Shinoda(Institute for Space-Earth Environmental Research, Nagoya University)

[ACG44-P06] On the impact of aircraft data on global numerical weather prediction

*Toshiyuki ISHIBASHI1 (1.MRI/JMA)

The numerical weather prediction (NWP) targeting the global atmosphere provides basic information on day-to-day weather forecasts and disaster prevention information, and it is also the basic technology for climate analysis and prediction. Since the prediction precision largely depends on the accuracy of the initial state, the data assimilation method such as the 4-dimensional variational method is used to generate it, and several million observation data are assimilated per day. Among such enormous data, aircraft observation data (temperature, wind, (relative humidity)) is one of the main observations. In order to improve the accuracy of the initial state, it is important to evaluate the influence of individual observation data on forecast accuracy. In this presentation, we evaluate the contribution of each observation dataset to forecast precision using the adjoint-based observation impact estimation method, which uses adjoint codes of the NWP model and the data assimilation system. We would like to think about future tasks such as bias correction method with aircraft observation data.