Obtaining Excel files of Lat-Lon-SLA L3 data as presented
#1
Hello,
I am a 77 year-old physical oceanographer interested by a dramatic low having been observed on the Polynesian Maupiti Island (16.4 °S-152.3 °W) exactly during the SWOT path of Dec. 30, 2023.
I fully rely on the SLA L3 data accuracy at the 250-m pixel level that, I believe, is demonstrated by permanent small scale structures such as the bean-shaped low in the west of the island displayed on the https://swot-calval.oceandatalab.com/ site. Unfortunately, these permanent small scale structures demonstrate that the considered geoid is not fine enough and I would like to perform averages of the SLA L3 data as they are computed and presented to try specifying them and inferring the oceanic signal (considered to be the small scale variable part and not considering the large scale part due to the tides and the atmospheric pressure) in a relatively small latitudinal interval (16.4 to 17.0 °S) where I expect eddies to have possibly occurred
Could it be possible to obtain Excel files of the SLA L3 pixels in the form Lat-Lon-SLA for a dozen descending paths, ideally without any error, in this latitudinal interval?
Since this would necessitate some extra work, I could specify the dates of these convenient paths and send a manuscript presenting the observations and what has already been done with SWOT data (those on Dec. 30, 2023 are the lowest ever observed) and nadir data (that indicate a 200 km eddy nearby) with the help of a colleague from LEGOS who has no more time to help me.
And we could exchange directly using our e-mails...
With my many and sincere thanks in advance.
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#2
Hi Claude,

Sorry for the late reply, there weren't many people available at ODL the last few weeks due to holidays and conferences.

I downloaded files with an even pass number (descending) from the SWOT L3 Unsmoothed (250m) product for Dec. 30, 2023 and extracted "ssha_filtered" values located in the [-17.0, -16.4] latitudinal band. The "ssha_filtered" variable is described as:
Height of the sea surface anomaly with all corrections applied and with calibration, data selection and noise reduction (using Unet model) applied

Saving these values in an Excel file was not convenient, so I stored them as CSV files (should be easy to import in Excel) named after the NetCDF file values are extracted from. As these files are quite big, they have been compressed in a zip archive available here: https://ftp.odl.bzh/odl/sherleda/maupiti...30_sla.zip

I repeated the same process for all descending passes nearby French Polynesia between Dec. 16, 2023 and Jan. 23, 2024 (thus covering two SWOT cycles: 008 and 009), the results are available in this zip archive: https://ftp.odl.bzh/odl/sherleda/maupiti...23_sla.zip

Please note that:
  • the pass over Maupiti on Dec. 30, 2023 (pass #444) is included in both zip archives
  • Longitude values are expressed in the [0, 360]° range (same as in the NetCDF files)

I hope I understood correctly what you wanted and that these files will be helpful.

Best regards,

Sylvain
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