2025-07-16T02:39 PM
(This post was last modified: 2025-07-16T02:40 PM by Sylvain Herlédan.)
Hi Claude,
I repeated the procedure for pass 541 (the ascending one), the results are here:
I went further West and did the same for the next descending pass (472):
Finally, I regrouped the small scale anomaly plots for the three passes (444, 472 and 541). One row corresponds to a SWOT cycle and columns are ordered from West to East:
Cheers,
Sylvain
I repeated the procedure for pass 541 (the ascending one), the results are here:
- using a mean computed while excluding 2024-01-02: https://ftp.odl.bzh/odl/sherleda/maupiti...1_3cycles/
- using a mean computed while excluding 2023-12-12, 2024-01-02 and 2024-01-23: https://ftp.odl.bzh/odl/sherleda/maupiti...ycles_bis/
I went further West and did the same for the next descending pass (472):
- using a mean computed while excluding 2023-12-31: https://ftp.odl.bzh/odl/sherleda/maupiti...2_3cycles/
- using a mean computed while excluding 2023-12-10, 2023-12-31 and 2024-01-20: https://ftp.odl.bzh/odl/sherleda/maupiti...ycles_bis/
Finally, I regrouped the small scale anomaly plots for the three passes (444, 472 and 541). One row corresponds to a SWOT cycle and columns are ordered from West to East:
- with the [-0.1, +0.1]m range: https://ftp.odl.bzh/odl/sherleda/maupiti...4-472-541/
- with the [-0.15, -0.05]m range: https://ftp.odl.bzh/odl/sherleda/maupiti...41_narrow/
- with the [-0.15, -0.05]m range (alternative colormap): https://ftp.odl.bzh/odl/sherleda/maupiti..._narrow_m/
Cheers,
Sylvain