Reanalysis and sensitivity experiments using a multi-scale data assimilation system during a field campaign in the California current system

A multi-scale data assimilation (DA) system for a high resolution oceanic model has been developed in support of the Surface Water and Ocean Topography (SWOT) satellite mission. Using this system, a set of forecast experiments was performed for the SWOT pre-launch field campaign that took place in the California Current System from September through December, 2019: 1) EXP_NODA, a free run without DA; 2) EXP_Routine, a DA run with the assimilation of observations that are routinely available from a variety of observing networks; and 3) EXP_Cal, a DA run with the assimilation of observations that are routinely available and observations from the field campaign.为支撑水面与海洋地形（Surface Water and Ocean Topography, SWOT）卫星任务，研发了一套面向高分辨率海洋模式的多尺度数据同化（data assimilation, DA）系统。依托该系统，针对2019年9月至12月在加利福尼亚海流系统开展的SWOT卫星发射前野外作业，完成了一组预报试验，具体包括：1）EXP_NODA：无数据同化的自由运行试验；2）EXP_Routine：采用多类观测网络常规可用观测开展数据同化的试验；3）EXP_Cal：同时同化多类观测网络常规可用观测与本次野外作业观测数据的同化试验。