[A-OS20] Global ocean observing systems, obtained results and system optimization: toward OceanObs19

[AOS20-P06] Impacts of temperature measurements from sea turtles on seasonal prediction around the Arafura Sea

*Takeshi Doi¹, Andrea Storto², Takuya Fukuoka³, Hiroyuki Suganuma⁴, Katsufumi Sato³ (1.JAMSTEC, 2.CMRE, 3.The University of Tokyo, 4.ELNA)

Keywords:Seasonal prediction, Biologging, Arafura Sea

In this work, we add the assimilation of temperature measurements from sea turtles, which covered from surface to maximum depth of about 120m around the Arafura Sea during June-August 2017, into an operational seasonal prediction system. The impact of these new observations is explored by conducting so-called Ocean Observing System Experiments. We find that the prediction of sea surface temperature is significantly improved at 3-4 months lead-time. The results show that the addition of temperature measurements from sea turtles into the existing Global Ocean Observing System (including satellite, mooring buoys, ships, and profiling floats) may open a new door to improve regional seasonal prediction through better representation of the initial state of the upper ocean.