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Sea surface temperature in coastal ocean with different data: application for the TRISHNA mission

Authors: Dadou, Isabelle; Kaouah, M.; Irvine, M.; Coudert, B.; Rivalland, V.; Vuillemin, R.; Zudaire, L.; +1 Authors

Sea surface temperature in coastal ocean with different data: application for the TRISHNA mission

Abstract

Presented at the GHRSST XXIII international science team meeting, 27 June-1 July 2022, online and in-person (Barcelona). #GHRSST23 Short abstract Sea surface temperature (SST) at the ocean-atmosphere interface represents a key variable for understanding, monitoring and predicting heat, momentum and gas fluxes as well as ocean dynamics over a wide range of spatio-temporal scales. In coastal areas, the intense exchanges between the ocean/atmosphere/continent generate a very high variability of the surface temperature both in time and space, which makes the data of the future TRISHNA mission suitable for many applications. We are interested in the study of sub-mesoscale structures (100 m -1 km) in the coastal environment, having an impact on productivity and ocean-atmosphere fluxes. We study thermal infrared (TIR) signals for the determination of SST in the coastal environment using different data and methods that are complementary in terms of their spatio-temporal resolution and coverage in order to prepare the TRISHNA mission : airborne measurements, satellite measurements and in situ measurements. SAFIRE airborne flights equipped with infrared cameras took place in the Gulf of Lion off Banyuls/Mer in the Mediterranean Sea in September 2019. We then compared the SST deduced from airborne data, LANDSAT images and in situ data. The results show a good agreement between the 3 types of data (temperature difference <1°C) demonstrating: 1) the good quality of the airborne TIR data 2) the usefulness of the larger scale spatialized information of the LANDSAT TIR data and 3) the importance of the in situ data. The situation in September 2019 in the coastal environment off Banyuls/Mer presents an upwelling regime forced by a major wind event (Mistral and Tramontane) at the scale of the Gulf of Lion, a process well monitored by the 3 types of SST data, especially their spatio-temporal complementarity. These results illustrate an example of a very high spatial resolution SST application for the future TRISHNA mission.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green