@prefix this: . @prefix sub: . @prefix np: . @prefix rdf: . @prefix prov: . @prefix npx: . @prefix dc: . @prefix xsd: . sub:Head { this: a np:Nanopublication; np:hasAssertion sub:assertion; np:hasProvenance sub:provenance; np:hasPublicationInfo sub:pubinfo . } sub:assertion { sub:wgs84-vs-sphere-sst-study a , ; "WGS84 vs sphere HEALPix geometry for FOSCAT SST gap-filling at operational resolution"; , , , , ; "This study extends the chain #3 fiesta-scattering-sst workflow (Zenodo 10.5281/zenodo.19686691), which used standard perfect-sphere HEALPix at nside=32, to higher operational resolution (nside=128) with paired sphere-vs-WGS84 comparison. The FOSCAT method, the Copernicus Marine data sources, and the FOSCAT hyperparameters (NORIENT, KERNELSZ, optimiser, iterations) are identical to chain #3; the new variables are (a) the resolution (nside=128 vs nside=32), and (b) the explicit two-arm geometry comparison enabled by the healpix-resample package's ellipsoid parameter. As with chain #3, FOSCAT was used via the annefou/FOSCAT@v0.1.0-cpu fork for CPU execution; that CPU patch has since been merged upstream and is included in foscat>=2026.4.1 on PyPI."; ; "The pipeline uses Copernicus Marine L3S PMW SST (cmems_obs-sst_glo_phy_l3s_pmw_P1D-m, with cloud gaps) and L4 SST analysis (cmems_obs-sst_glo_phy-temp_nrt_P1D-m, gap-free reference) for 2026-04-01, both at 0.25° native resolution. The L3S product is regridded onto the L4 grid via nearest-neighbour interpolation. The two products are then independently resampled to HEALPix nside=128 (level=7) under each geometry: standard perfect-sphere (the healpy default) and WGS84 oblate ellipsoid. WGS84 resampling is performed via healpix_resample.GroupByResampler(level=7, reduce='mean', ellipsoid='WGS84'); sphere resampling uses the same package with ellipsoid='sphere' to ensure the implementation difference between the two runs is exactly the geometry argument. Cloud-gap pixels are identified as ocean cells (defined by the L4 mask) without L3S observations. A spherical-harmonic baseline (lmax=60) on the L4 product provides an initial guess for the gaps. FOSCAT scattering synthesis (scat_cov.funct(NORIENT=4, KERNELSZ=3), 300 L-BFGS iterations, CPU) is then run separately under each geometry, using L4's scattering coefficients as the statistical reference and a cloud-only mask for gradient updates. Each geometry's gap-filled output is compared against L4 in cloudy pixels via RMSE in millikelvin."; "This study tests the research question posed by the parent PCC nanopublication: whether using WGS84 ellipsoid geometry instead of the perfect-sphere assumption when binning lat/lon SST observations to HEALPix cells improves the accuracy of FOSCAT scattering-transform gap-filling at operational resolution. We compare the two geometries on a single day of Copernicus Marine SST data (2026-04-01) at HEALPix nside=128, using the L4 gap-free analysis as ground truth in cloudy pixels."; . } sub:provenance { sub:assertion prov:wasAttributedTo . } sub:pubinfo { "Anne Fouilloux" . this: dc:created "2026-04-26T18:52:46.842Z"^^xsd:dateTime; dc:creator ; dc:license ; npx:introduces sub:wgs84-vs-sphere-sst-study; npx:wasCreatedAt ; "NP created using Declaring a replication study design according to FORRT"; . sub:sig npx:hasAlgorithm "RSA"; npx:hasPublicKey "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"; npx:hasSignature "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"; npx:hasSignatureTarget this:; npx:signedBy . }