Browser API demo

sciwrid-toolkit/api — functional demo

Calls scan, extract, extractOutput from sciwrid-api.js directly. Open the browser console to see every result logged.

1. Pick a file

GRIB2 (.grb2 / .grib2), NetCDF3 (.nc3), NetCDF4 / HDF5 (.nc), or Zarr v2 (zipped store, .zip / .zarr)

2. Scan — list variables [0..20]

await scan(file)

(no scan yet)

3. Extract a variable

await extract(file, { variable, lat, lon })

Variable: Lat: Lon:

Start date: End date:

ISO-8601 or YYYY-MM-DD (date-only covers the whole day). Both → range; one → nearest. Blank → all timesteps. Overrides time index.

(no extract yet)

4. Extract grid (bbox) — parallel worker pool

await extractGrid(file, { variable, bbox, width, height, workers, signal, onProgress })
Spawns up to N workers (default 5); each handles a row band. Result is rendered as a heatmap.

Variable: Time idx: or Date: Workers:

minLon: minLat: maxLon: maxLat: W: H:

(no grid yet)

5. Trim — same-format file trimming

await trim(file, { variables, t1, t2, bbox })
Byte-cut for GRIB2 / NetCDF3 / Zarr where possible. h5wasm writer for NetCDF4. Bbox trim is supported for Zarr / NetCDF4 / TIFF. Stored and DEFLATE-compressed Zarr zip entries are supported.

t1: t2: bbox minLon: minLat: maxLon: maxLat:

(no trim yet)