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Historical CTD dataset and associated processed dissipation rate using an improved Thorpe method in the Indonesian
Adi Purwandana1,2, Yannis Cuypers1, Pascale Bouruet-Aubertot1
1Laboratoire d'Océanographie et de Climatologie par Expérimentation et Approche Numérique (LOCEAN), Sorbonne Université, Paris, France.
Data in Brief
|May 7, 2020
Summary
This study presents datasets for estimating turbulent kinetic energy dissipation and vertical diffusivity in the Indonesian seas. These datasets, including conductivity, temperature, and depth (CTD) data, enable comparisons between direct, indirect, and model-based estimates.
Area of Science:
- Oceanography
- Fluid Dynamics
- Geophysics
Background:
- Turbulent kinetic energy dissipation and vertical diffusivity are crucial parameters for understanding ocean mixing.
- Accurate estimation of these parameters is essential for oceanographic modeling and climate studies.
- The Indonesian seas are a region of significant oceanic activity and complex mixing processes.
Purpose of the Study:
- To present and analyze datasets for estimating turbulent kinetic energy dissipation rates and vertical diffusivity in the Indonesian seas.
- To enable comparison between different methods of estimating these parameters: indirect CTD-based, direct microstructure measurements, and regional models.
- To provide a comprehensive dataset for future research on spatial structures of turbulent mixing.
Main Methods:
- Analysis of archived conductivity, temperature, and depth (CTD) datasets (1990-2016) using an improved Thorpe method.
- Inclusion of direct dissipation rate estimates from INDOMIX (2010) and TOMTOM (2015) research expeditions.
- Presentation of outputs from three regional internal tide models for comparison with empirical estimates.
Main Results:
- The study provides a valuable compilation of datasets for turbulent mixing in the Indonesian seas.
- It facilitates the comparison of indirect CTD-based Thorpe method estimates with direct microstructure measurements.
- Model outputs are made available for validation against observational data.
Conclusions:
- The presented datasets are crucial for advancing the understanding of turbulent mixing processes in the Indonesian seas.
- This work supports the validation and improvement of oceanographic models.
- The findings contribute to a better characterization of the spatial structure of turbulent mixing.
Keywords:
CTD datasetDissipation rateIndonesian seasThorpe scaleTurbulent mixingVertical mixingWatermass
