Experimental wave forecast to support R/V Mirai Arctic Ocean expedition in 2022

This is a experimental TodaiWW3-ArCS wave forecast data set to support R/V Mirai Arctic Ocean expedition. The model is forced with the ECMWF forecast 10m wind field while the lateral boundary is imposed from Environment and Climate Change Canada (ECCC) sea ice concentration and thickness fields. The model is experimental and has not been tuned. The primary purpose of proviing the wave forecast is to support onboard decision making processes relating to wave measurement activities. The R/V Mirai forecast domain has 8 km resolution and covers the expedition scheduled track. This domain is nested within the pan-Arctic Ocean domain with 16 km resolution. The simulation is automated on the Google Cloud Computing platform, which was configured by T. Terui of ADS NIPR.本数据集为支持R/V Mirai北极科考航行的实验性TodaiWW3-ArCS海浪预报数据集。该模型的强迫场采用欧洲中期天气预报中心（ECMWF）预报的10米风场，侧边界条件则取自加拿大环境与气候变化部（Environment and Climate Change Canada, ECCC）的海冰浓度与厚度场。本模型为实验性版本，尚未经过参数调优。本海浪预报数据集的核心用途，是为科考船开展海浪测量相关的船载决策流程提供支撑。 R/V Mirai的预报区域分辨率为8千米，覆盖科考计划的航行航线。该预报区域嵌套于分辨率为16千米的泛北极海洋预报域中。 本模拟任务在谷歌云计算（Google Cloud Computing）平台上自动化运行，该平台由日本国立极地研究所（NIPR）大气与海洋科学部（ADS）的T. Terui完成配置。