Point OceanVal at your model output. It matches simulation results against trusted observational datasets, computes the statistics, and builds a polished, shareable HTML report — all from your browser.
OceanVal turns model validation into a repeatable three-step pipeline, so you spend time interpreting results instead of wrangling files.
Point at a built-in recipe — WOA23, COBE2, OCC-CI, GLODAP, NSBC — or register your own gridded or in-situ data.
OceanVal scans your simulation directory, regrids where needed, and pairs model values with observed values, like-for-like — and can build an interim report as it goes, so you can read the results while the rest are matched.
Bias, RMSD, correlation, seasonality and spatial patterns are computed and written to a shareable HTML report — built from editable notebooks.
Built by ocean modellers, for ocean modellers — so the defaults are sensible and the escape hatches are there when you need them.
Install from conda-forge and validate a simulation the same day, not after weeks of scripting.
WOA23, COBE2, OCC-CI, GLODAP and NSBC datasets are ready to use — downloaded and processed for you.
Bias, RMSD, correlation, seasonality, spatial patterns and vertical profiles, computed on matched data.
A shareable HTML report with figures, tables and methods documented automatically, ready to send to collaborators.
NEMO, CMEMS, CMIP-style output, and any CF-compliant NetCDF.
Build side-by-side comparison reports for multiple runs
