Diagnosing stirring in the Arabian Sea from a long-term dataset

Nihar Paul; Jai Sukhatme; Manikandan Mathur; Debasis Sengupta

doi:https://doi.org/10.5194/egusphere-egu23-4964

[Back] [Session NP6.3]

EGU23-4964, updated on 22 Feb 2023

https://doi.org/10.5194/egusphere-egu23-4964

EGU General Assembly 2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Diagnosing stirring in the Arabian Sea from a long-term dataset

Nihar Paul^1,2, Jai Sukhatme^2,3, Manikandan Mathur¹, and Debasis Sengupta^2,3

Nihar Paul et al.

¹Department of Aerospace Engineering, Indian Institute of Technology, Madras, India (nihar.hitk@gmail.com)
²Centre for Atmospheric and Oceanic Sciences, Indian Institute of Science, Bengaluru, India
³Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru, India

How to cite: Paul, N., Sukhatme, J., Mathur, M., and Sengupta, D.: Diagnosing stirring in the Arabian Sea from a long-term dataset, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-4964, https://doi.org/10.5194/egusphere-egu23-4964, 2023.

This abstract has been withdrawn on 16 May 2023.