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Hello,
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<div>I am a graduate student at Caltech working on ocean temperature estimation and I have been happily using ECCO data as a reference for many calculations in my research.</div>
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<div>A few days ago, I downloaded the monthly interpolated climatology from the ECCO Drive (e.g. <a href="https://ecco.jpl.nasa.gov/drive/files/Version4/Release4/interp_monthly/THETA">https://ecco.jpl.nasa.gov/drive/files/Version4/Release4/interp_monthly/THETA</a>).</div>
<div>Compared to previous times I’ve downloaded ECCO datasets (e.g. V4r4) it appears that the provided netcdf files effectively use the value 0.0 as _FillValue, which is confusing all the time THETA can be both positive and negative.</div>
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<div>Using <a href="https://ecco.jpl.nasa.gov/drive/files/Version4/Release4/interp_monthly/THETA/1992/THETA_1992_01.nc">https://ecco.jpl.nasa.gov/drive/files/Version4/Release4/interp_monthly/THETA/1992/THETA_1992_01.nc</a> as an example, I found that for lat=
- 66.25 (1-based index 589), lon=114.25 (index 48), the resulting profile is negative near the surface, then positive for a bit, then exactly zero for the remainder of the array (I tried loading the dataset in both Python and Julia). Presumably I reached the
sea floor once values are exactly 0.0. I think these should be NaN or Missing (or a really large value) instead. This was done correctly when I’ve downloaded ECCO data in the past.</div>
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<div>I’m further confused since, interrogating the global attributes of the dataset, it says it follows CF-1.6 conventions, but the only attribute referring to what should happen with missing data as far as I can tell is a global attribute «no_data» which has
value «NaNf». </div>
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<div>Am I doing something wrong? Or did something change in how «missing data» is specified in the most recent release of ECCO? Should I direct my questions elsewhere? </div>
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<div>I appreciate any help.</div>
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<div>Best,</div>
<div>Haakon</div>
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<div>--<br>
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Haakon Ludvig Langeland Ervik [haw-kon]<br>
PhD Student, Environmental Science and Engineering<br>
California Institute of Technology<br>
www.hlle.no | haakon@caltech.edu</div>
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