Model-based assessment of a Northwestern Tropical Pacific moored array to monitor intraseasonal variability. (June 2018)

• Record Type: Journal Article
• Authors: Liu, Danian; Zhu, Jiang; Shu, Yeqiang; Wang, Dongxiao; Wang, Weiqiang; Cai, Shuqun
• Is Part Of: Ocean modelling. Volume 126(2018)
• Page Start: 1
• Page End: 12
• Publication Date: 2018-06
• Subjects: Observing system simulation experiments -- Data assimilation -- ROMS -- Mooring array -- Ensemble optimal interpolation; Oceanography -- Periodicals; Océanographie -- Périodiques; Oceanography; Periodicals; 551.46
• DOI: 10.1016/j.ocemod.2018.04.001
• Languages: English
• ISSNs: 1463-5003

Abstract

Highlights: The NWTPO mooring array are assessed by assimilating ideal velocity profiles. The mooring array has a good intraseasonal monitoring capacity in the NWTPO area. Ensemble with only intraseasonal signals is more efficient in assimilating the moorings. Abstract: The Northwestern Tropical Pacific Ocean (NWTPO) moorings observing system, including 15 moorings, was established in 2013 to provide velocity profile data. Observing system simulation experiments (OSSEs) were carried out to assess the ability of the observation system to monitor intraseasonal variability in a pilot study, where ideal "mooring-observed" velocity was assimilated using Ensemble Optimal Interpolation (EnOI) based on the Regional Oceanic Modeling System (ROMS). Because errors between the control and "nature" runs have a mesoscale structure, a random ensemble derived from 20–90-day bandpass-filtered nine-year model outputs is proved to be more appropriate for the NWTPO mooring array assimilation than a random ensemble derived from a 30-day running mean. The simulation of the intraseasonal currents in the North Equatorial Current (NEC), North Equatorial Countercurrent (NECC), and Equatorial Undercurrent (EUC) areas can be improved by assimilating velocity profiles using a 20–90-day bandpass-filtered ensemble. The root mean square errors (RMSEs) of the intraseasonal zonal (U) and meridional velocity (V) above 500 m depth within the study area (between 0°N–18°N and 122°E–147°E) were reduced by 15.4% and 16.9%, respectively. Improvements in the downstream area of the NEC moorings transect were optimum where the RMSEs of the intraseasonal velocities above 500 m were reduced by more than 30%. Assimilating velocity profiles can have a positive impact on the simulation and forecast of thermohaline structure and sea level anomalies in the ocean.