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04.27.11: Coherence between snapshots of SST, SSH and FSLE for the Hawaii region

As for the Gulf Stream region, I study here the coherence between SST, SST gradient, SSH and FSLE fields for one snapshot around the Hawaiian Islands. At this point, it is difficult to tell if there is a real coherence; the best coherence might be seen in the comparison of the SST gradient and FSLE fields. But more analysis, such as the calculation of statistically-significant correlation between these two fields, is needed.

../../../../../../_images/SST_SSH_Jan15_2010_HI.png

Figure 1: SST (colors; deg. C) and SSH (contours; cm) on Jan. 15, 2010. The SST is from the MUR SST product. SSH is from AVISO SSH anomaly of type UPD with MDOT for the mean SSH, interpolated in time for that day.

../../../../../../_images/SST_FSLE_Jan15_2010_HI.png

Figure 2: SST (colors; deg. C) and high FSLE (ci = 0.05:0.05:1.0 1/day) on Jan. 15, 2010. The SST is from the same product as in Fig. 1 and the FSLE have been computed using the same SSH product as in Fig. 1.

../../../../../../_images/SSTgrad_FSLE_Jan15_2010_HI.png

Figure 3: SST gradient (colors; 1e-4 deg. C/m) and high FSLE (ci = 0.1:0.05:1.0 1/day) on Jan. 15, 2010. The SST is from the same product as in Fig. 1 and the FSLE have been computed using the same SSH product as in Fig. 1. The SST gradient is computed after smoothing the SST field with a 0.2°running mean.


The SSH and FSLE were computed using manifold_SSH_AVISO.m in RESEARCH/PROJECTS/MARINE_BIOLOGY/SUBMESOSCALE_PROCESSES/FSLE/analysis/SSH_AVISO on the central disk. The SST gradient is computed with gradSST_FSLE.py in RESEARCH/PROJECTS/MARINE_BIOLOGY/SUBMESOSCALE_PROCESSES/MUR_SST/analysis again on the central disk.