LORA: a local ensemble transform Kalman filter-based ocean research analysis

Abstract We have produced an eddy-resolving local ensemble transform Kalman filter (LETKF)-based ocean research analysis (LORA) for the western North Pacific (WNP) and Maritime Continent (MC) regions (LORA-WNP LORA-MC, respectively). This paper describes system configuration validation comparisons with Japan Coastal Ocean Predictability Experiment 2M (JCOPE2M) reanalysis Archiving, Validation, Interpretation of Satellite Oceanographic Data (AVISO) observational datasets. The results show that surface horizontal velocity in LORA-WNP is closer to independent drifter buoy observations mid-latitude region, especially along Kuroshio Extension (KE), less close subtropical region than JCOPE2M, although AVISO closest over whole domain. sea temperatures (SSTs) correspond better assimilated satellite JCOPE2M most domain except coastal regions. using south KE indicate fit temperature may be limited upper 300 m depth, probably because prescribed vertical localization cutoff length 370 m. In MC LORA-MC buoys equatorial offshore AVISO. SSTs nearshore region. Therefore, sufficient accuracy geoscience applications as well fisheries, marine transport, environment consultants.