11:00 AM - 1:00 PM
[AAS05-P06] Verification of the use of Google Cloud Platform for calculating a real-time forecast model
Keywords:Cloud Computing, Sea Ice Forecast, Wave Forecast, Vessel Navigation
We delivered sea ice and wave forecast data to R/V Mirai for the Arctic Sea observation cruise MR20-05C (from 19 Sep. to 2 Nov. in 2020) and MR21-05C (31 Aug. to 21 Oct. in 2021). We forecasted every day and used VENUS as a data transfer platform. Sea ice forecast data was output from the sea ice model IcePOM. Wave forecast data was output from the wave model WAVEWATCH-III (WW3). We used ECMWF 10-day weather forecast data as input data for both models.
We used the Google Cloud Platform (GCP) for the calculation environment of this forecast model. We have selected GCP because of the flexibility of computing resources and the ease of constructing a calculation environment. Next, we built the computer environment that demanded the calculation of the forecast model on the GCP. We connected this environment to VENUS, and the data was delivered to R/V Mirai. In this presentation, we would like to introduce the technical results obtained in these construction processes. In particular, we would like to report on the results of comparing on-premises with GCP. This study was a case of using GCP to run the real-time forecast model in the scientific field, and it introduces the design, construction, and operation. For researchers considering cloud services, this case can expect to be beneficial.