Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Validating Salinity From SMAP With Saildrones and Research Vessel Data During EUREC4A-OA/ATOMIC

Version 1 : Received: 21 August 2021 / Approved: 24 August 2021 / Online: 24 August 2021 (08:43:27 CEST)

How to cite: Hall, K.; Daley, A.; Whitehall, S.; Sandiford, S.; Gentemann, C.L. Validating Salinity From SMAP With Saildrones and Research Vessel Data During EUREC4A-OA/ATOMIC. Preprints 2021, 2021080461 (doi: 10.20944/preprints202108.0461.v1). Hall, K.; Daley, A.; Whitehall, S.; Sandiford, S.; Gentemann, C.L. Validating Salinity From SMAP With Saildrones and Research Vessel Data During EUREC4A-OA/ATOMIC. Preprints 2021, 2021080461 (doi: 10.20944/preprints202108.0461.v1).

Abstract

The 2020 Elucidating the role of clouds-circulation coupling in climate - Ocean-Atmosphere (EUREC4A-OA) and Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign (ATOMIC) campaigns sought to improve the knowledge of the interaction between clouds, convection and circulation and their function in our changing climate. The campaign consisted of numerous research technologies, some of which are relatively novel to the scientific community. In this study we used a saildrone uncrewed surface vehicle to validate satellite and modelled sea surface salinity (SSS) products in the Western Tropical Atlantic. These products include the Soil Moisture Active Passive (SMAP) Jet Propulsion Laboratory (JPL), SMAP Remote Sensing Systems (RSS), and Hybrid Coordinate Ocean Model (HYCOM). In addition to the validation, we investigated a fresh tongue south east of Barbados. The saildrones accurately depicted the salinity conditions and all satellite and modelled products performed well in areas that lacked small-scale salinity variability. However, SMAP RSS 70 km outperformed its counterparts in areas with small submesoscale irregularities while RSS 40 km was better at identifying small irregularities in salinity such as a fresh tongue. These results will allow researchers to make informed decisions regarding the most ideal product for their application and aid in the improvement of mesoscale and submesoscale SSS products, which can lead to the refinement of numerical weather prediction (NWP) and climate models.

Keywords

Saildrone; Soil Moisture Active Passive (SMAP); Hybrid Coordinate Ocean Model (HYCOM); EUREC4A; ATOMIC; physical oceanography; remote sensing; air-sea interactions

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