Sea Turtles for Ocean Research and Monitoring: Overview and Initial Results of the STORM Project in the Southwest Indian Ocean

被引:11
作者
Bousquet, Olivier [1 ]
Dalleau, Mayeul [2 ,3 ]
Bocquet, Marion [1 ]
Gaspar, Philippe [4 ]
Bielli, Soline [1 ]
Ciccione, Stephane [3 ]
Remy, Elisabeth [4 ]
Vidard, Arthur [5 ]
机构
[1] LACy, UMR 8105, Lab Atmosphere & Cyclones, St Denis, France
[2] Ctr Etud & Decouverte Tortues Marines CEDTM, St Leu, France
[3] Observ Tortues Marines, Kelonia, St Leu, France
[4] MERCATOR Ocean Int MOI, Toulouse, France
[5] Univ Grenoble Alpes, Grenoble INP, INRIA, CNRS, Grenoble, France
关键词
biologging; ocean modeling; satellite observation; AniBOS; SCTR; sea turtles; tropical Indian Ocean; SURFACE TEMPERATURE; LOGGERHEAD TURTLES; CARETTA-CARETTA; SATELLITE TRACKING; VARIABILITY; SENSITIVITY; SYSTEM;
D O I
10.3389/fmars.2020.594080
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Surface and sub-surface ocean temperature observations collected by sea turtles (ST) during the first phase (Jan 2019-April 2020) of the Sea Turtle for Ocean Research and Monitoring (STORM) project are compared against in-situ and satellite temperature measurements, and later relied upon to assess the performance of the Glo12 operational ocean model over the west tropical Indian Ocean. The evaluation of temperature profiles collected by STs against collocated ARGO drifter measurements show good agreement at all sample depths (0-250 m). Comparisons against various operational satellite sea surface temperature (SST) products indicate a slight overestimation of ST-borne temperature observations of-0.1 degrees +/-degrees 0.6 degrees that is nevertheless consistent with expected uncertainties on satellite-derived SST data. Comparisons of ST-borne surface and subsurface temperature observations against Glo12 temperature forecasts demonstrate the good performance of the model surface and subsurface ( 50 m) temperature predictions in the West tropical Indian Ocean, with mean bias (resp. RMS) in the range of 0.2 degrees (resp. 0.5-1.5 degrees). At deeper depths ( 50 m), the model is, however, shown to significantly underestimate ocean temperatures as already noticed from global evaluation scores performed operationally at the basin scale. The distribution of model errors also shows significant spatial and temporal variability in the first 50 m of the ocean, which will be further investigated in the next phases of the STORM project.
引用
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页数:19
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