DAILY: Last 3-week SSH and FSLE fields around the Hawaiian Archipelago¶
Figure 1: Last 3-week sea surface height (SSH; colors; cm) and backward-in-time finite-size Lyapunov exponent (FSLE; only values larger than 0.1 1/day are plotted) around the Hawaiian Archipelago. Computed from AVISO near-real time data. The red dot indicates station ALOHA.
Figure 2: Last 3-week sea surface height (SSH; colors; cm) and backward-in-time finite-size Lyapunov exponent (FSLE; only values larger than 0.1 1/day are plotted) around station ALOHA. Computed from AVISO near-real time data. The red dot indicates station ALOHA. The FSLE have been computed with a higher grid resolution than in Fig 1. explaining why there are more details in this figure than in Fig. 1. The blue dots show parcel displacements due to the geostrophic flow.
Figure 3: Most recent sea surface height (SSH; colors; cm) and backward-in-time finite-size Lyapunov exponent (FSLE; only values larger than 0.1 1/day are plotted) around the Hawaiian Archipelago. Computed from AVISO near-real time data. The red dot indicates station ALOHA. The blue dots show parcel displacements due to the geostrophic flow.
Figure 4: Last 3-week sea surface height (SSH; ci=20:5:100 cm) and backward-in-time finite-size Lyapunov exponent (FSLE; only values larger than 0.1 1/day are plotted) around the Hawaiian Archipelago. Computed from AVISO near-real time data. The red dot indicates station ALOHA.
Figure 5: Last 3-week sea surface height (SSH; ci=20:5:100 cm) and backward-in-time finite-size Lyapunov exponent (FSLE; colors; 1/day) around station ALOHA. Computed from AVISO near-real time data. The red dot indicates station ALOHA. The white dots show parcel displacements due to the geostrophic flow.
Figure 6: Most recent sea surface height (SSH; ci=20:5:100 cm) and backward-in-time finite-size Lyapunov exponent (FSLE; colors; 1/day) around station ALOHA. Computed from AVISO near-real time data. The red dot indicates station ALOHA. The white dots show parcel displacements due to the geostrophic flow.
Figure 7: Last 3-week 8-day composite ocean color (colors; ci every 0.01 mg chl/m3) and backward-in-time finite-size Lyapunov exponent (FSLE; only values larger than 0.1 1/day are plotted) around the Hawaiian Archipelago. Computed from AVISO near-real time data. The red dot indicates station ALOHA.
Figure 8: Most recent SSH and trajectories for the next 10 days assuming the field is frozen in time.
Figure 9: Most recent 8-day ocean color composite and trajectories for the next 10 days assuming the field is frozen in time.
To redo all these figures, go to RESEARCH/PROJECTS/MARINE_BIOLOGY/SUBMESOSCALE_PROCESSES/FSLE/analysis/SSH_AVISO on the main disk and on moli, open matlab and run successively oceancolor_last3weeks_around_Hawaii.m, unstable_manifold_last2weeks_RT_SSH.m and unstable_manifold_last3weeks_RT_SSH_around_ALOHA.m, then run the python routine auto_unstable_manifold_last2weeks_RT_SSH.py. For Figs. 8 and 9, run the matlab script trajectories_frozen_field.m.