TY - GEN
T1 - Flow maps and coherent sets for characterizing residence times and connectivity in lagoons and coral reefs: The case of the red sea
AU - Doshi, Manan
AU - Kulkarni, Chinmay S.
AU - Ali, Wael H.
AU - Gupta, Abhinav
AU - Lermusiaux, Pierre F.J.
AU - Zhan, Peng
AU - Hoteit, Ibrahim
AU - Knio, Omar
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2020/1/21
Y1 - 2020/1/21
N2 - To understand the dynamics and health of marine ecosystems such as lagoons and coral reefs as well as to understand the impact of human activities on these systems, it is imperative to predict the residence times of water masses and connectivity between ocean domains. In the present work, we consider the pristine lagoons and coral reefs of the Red Sea as an example of such sensitive ecosystems, with a large number of marine species, many of which are unique to the region. To study the residence times and connectivity patterns, we make use of recent advances in dynamic three-dimensional Lagrangian analyses using partial differential equations. Specifically, we extend and apply our novel efficient flow map composition scheme to predict the time needed for any particular water parcel to leave the domain of interest (i.e. a lagoon) as well as the time for any particular water parcel to enter that domain. These spatiotemporal residence time fields along with four-dimensional Lagrangian metrics such as finite time Lyapunov exponent (FTLE) fields provide a quantitative description of the Lagrangian pathways and connectivity patterns of lagoons in the Red Sea.
AB - To understand the dynamics and health of marine ecosystems such as lagoons and coral reefs as well as to understand the impact of human activities on these systems, it is imperative to predict the residence times of water masses and connectivity between ocean domains. In the present work, we consider the pristine lagoons and coral reefs of the Red Sea as an example of such sensitive ecosystems, with a large number of marine species, many of which are unique to the region. To study the residence times and connectivity patterns, we make use of recent advances in dynamic three-dimensional Lagrangian analyses using partial differential equations. Specifically, we extend and apply our novel efficient flow map composition scheme to predict the time needed for any particular water parcel to leave the domain of interest (i.e. a lagoon) as well as the time for any particular water parcel to enter that domain. These spatiotemporal residence time fields along with four-dimensional Lagrangian metrics such as finite time Lyapunov exponent (FTLE) fields provide a quantitative description of the Lagrangian pathways and connectivity patterns of lagoons in the Red Sea.
UR - http://hdl.handle.net/10754/661886
UR - https://ieeexplore.ieee.org/document/8962643/
UR - http://www.scopus.com/inward/record.url?scp=85079069610&partnerID=8YFLogxK
U2 - 10.23919/OCEANS40490.2019.8962643
DO - 10.23919/OCEANS40490.2019.8962643
M3 - Conference contribution
SN - 9780578576183
BT - OCEANS 2019 MTS/IEEE SEATTLE
PB - IEEE
ER -