Japan Geoscience Union Meeting 2018

Presentation information

[EE] Oral

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

[A-AS01] High performance computing for next generation weather, climate, and environmental sciences

Sun. May 20, 2018 3:30 PM - 5:00 PM 302 (3F International Conference Hall, Makuhari Messe)

convener:Hiromu Seko(Meteorological Research Institute), Chihiro Kodama(Japan Agency for Marine-Earth Science and Technology), Masayuki Takigawa(独立行政法人海洋研究開発機構, 共同), Takemasa Miyoshi(RIKEN Advanced Institute for Computational Science), Chairperson:Miyoshi Takemasa (RIKEN Advanced Institute for Computational Science), Kodama Chihiro(Japan Agency for Marine-Earth Science and Technology)

4:00 PM - 4:15 PM

[AAS01-09] Assimilation and evaluation of all-sky infrared radiances of Himawari-8

*Kozo OKAMOTO1,2, Yohei Sawada1,2, Masaru Kunii1, Tempei Hashino3, Takeshi Iriguchi1, Masayuki Nakagawa1 (1.Meteorological Research Institute, 2.RIKEN AICS, 3.Kyushu University)

Keywords:Data assimilation, Satellite observation, Himawari

We aim at effective assimilation of all-sky infrared radiances (ASRs) from Himawari-8 satellites in global and regional data assimilation systems. The ASR assimilation is expected to give us greater benefit of improving analysis and forecasts than the current clear-sky radiance (CSR) assimilation.

We have been developing ASR assimilation in a regional assimilation system by using a cloud resolving model of JMA-NHM and LETKF assimilation system. With a cloud-dependent QC procedure and observation error model, ASRs at humidity bands of Himawari-8 showed Gaussian distribution form. ASR assimilation made first-guess better fit to observations such as CloudSat than CSR assimilation.

With regard to the global data assimilation of ASRs, we started with comparing simulations and observations for ASR of Himawari-8. To better understand the discrepancy between model and simulations, we used a different radiative transfer model (Joint-Simulator) from the one employed for assimilation (RTTOV). The comparison revealed a problem with input for RTTOV and sensitivity of Joint-Simulator to the number of subgrid columns and response function.