NetCDF to CSV Converter
Inspect the dataset, choose one variable and slices, review the estimated mapping, then download complete CSV data and its metadata sidecar.
Dataset summary
Groups, dimensions and variables
Honest multidimensional mapping
Long layout produces one row per selected array cell. The last selected dimension changes fastest. Wide layout is offered only for two-dimensional variables and uses the second dimension as columns.
Scientific semantics retained
Masks, scale and offset, coordinate values, units and CF calendar details are respected. Metadata that CSV cannot hold is written to the JSON sidecar.
No silent reduction
The converter streams bounded chunks and never downsamples. If the complete output cannot fit the workspace, it stops clearly before writing an incomplete result.