UACE2023: ADVENT OF DEEP ARGO DATA & AN ATTEMPT AT ANALYZING THE DEEPER SOUND SPEED PROFILES FOR EXTRAPOLATION CORRECTIONS



    • Session: 01. Memorial Session for Jean-Pierre Hermand
      Organiser(s): Chapman Ross
    • Lecture: ADVENT OF DEEP ARGO DATA & AN ATTEMPT AT ANALYZING THE DEEPER SOUND SPEED PROFILES FOR EXTRAPOLATION CORRECTIONS
      Paper ID: 1007
      Author(s): Iqbal Kashif, Zhang Minghui , Piao Shengchun , He Ge
      Presenter: Piao Shengchun
      Presentation type: oral
      Abstract: Both R. Davis & D. Webb were able to develop Argo float technology during early 1990s. A profiling array comprising of 3300 such floats was proposed to cover the oceans globally in 1998 by the Argo’s Science Team. The first Argo profiling float came into existence in the year 1999. By the year 2007, Argo had achieved its target of 3000 active floats covering the desired global ocean. The conventional depth for obtaining Argo data has been 0 - 2000 meters. As a giant leap forward, by the middle of 2014, a workshop named, “Deep Argo Implementation Workshop”, was held in Hobart. In this conference, Johnson et al. proposed an array of 1228 floats providing coverage of 5° × 5° × 15-day cycles. Deployment of pilot arrays for covering particular regions has already been executed. Deep Ninja and Deep Arvor from Japan and France simultaneously cover depths of 0 - 4000, while Apex & Solo of Unites States are developed to cover 0 - 6000 meters. This study is focused on obtaining in-situ data from a couple of deep Argo buoys and then, compares their salinity, temperature, and sound speed's in-situ values with the extrapolated ones. Prior to availability of deep Argo, the data in depth was usually extrapolated for various parameter calculations. The literature presents numerous methods and examples for extrapolation of vertical profiles for salinity, temperature, and sound speed profiles. The measured temperature and salinity parameters with the pressure were converted to sound speed profile. The extrapolation was carried out using MATLAB’s polyfit and polyval functions. The comparative analysis among in-situ data and the extrapolated one illustrates deviation in deeper vertical profiles especially after 2500 meters. The analysis results are presented in the form of graphs and marked accordingly for both in-situ and extrapolated curves. In addition, the study focuses on varying factors responsible for the typical anomalies especially in deeper oceans. The anomalies suggest that for deeper depth calculations, the real measured values present more accurate results instead of mere extrapolations.
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    • Corresponding author: Mr Iqbal Kashif
      Affiliation: Harbin Engineering University, Harbin, China
      Country: China
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