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feat(wind): add ECMWF IFS as a second wind model
Add ECMWF IFS 10 m wind alongside NOAA GFS, selectable at runtime. The /api/wind proxy becomes a model dispatcher: `?model=gfs|ifs` (default gfs, unknown → 400), cached per model+cycle+grid. IFS reads the keyless ECMWF Open Data JSON Lines `.index` (note: `<stem>.index`, not `<grib2>.index`), byte-range fetches only the `10u`/`10v` messages, decodes them with the same ecCodes WASM path, and resamples with the existing grid code (ECMWF grids start at lo1=180; the resampler already wraps columns). The client layer gains a `model` parameter (setParams/getParams) with a generation guard so a model switch aborts and refetches exactly once. Registered as an enabled+options layer with a `model` enum. Validated end-to-end against the real 2026-09-14 06z IFS cycle on Node 25 (180x91 grid at 2°, 131,040-byte payload, plausible mean |u|/|v|), and GFS still passes the same check. Attribution: contains modified Copernicus/ECMWF IFS forecast data, licensed under CC BY 4.0. Verified: npm test (3412 pass, 0 fail), check:boundaries.
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@@ -87,3 +87,22 @@ export async function fetchRange({
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throw new Error('invalid range length');
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return buffer;
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}
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import { GFS_BUCKET, gfsObjectKey, selectLatestGfsCycle } from './catalog.js';
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import { decodeWindGribMessage } from './decode.js';
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import { resampleWindGrid } from './grid.js';
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/** Fetch and decode the latest GFS 10 m wind field. */
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export async function fetchGfsWind({ fetchImpl = fetch, now = () => Date.now(), targetDx = 1, decodeImpl = decodeWindGribMessage } = {}) {
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const cycle = selectLatestGfsCycle(now());
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const base = `https://${GFS_BUCKET}.s3.amazonaws.com/${gfsObjectKey(cycle)}`;
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const index = await fetchText({ url: `${base}.idx`, fetchImpl });
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const ranges = windMessageRanges(parseGfsIdx(index.toString()));
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const [uBuffer, vBuffer] = await Promise.all([
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fetchRange({ url: base, ...ranges.u, fetchImpl }),
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fetchRange({ url: base, ...ranges.v, fetchImpl }),
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]);
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const [u, v] = await Promise.all([decodeImpl(uBuffer), decodeImpl(vBuffer)]);
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const grid = resampleWindGrid({ u: u.values, v: v.values, ni: u.ni, nj: u.nj, lo1: u.lo1, la1: u.la1, di: u.di, dj: u.dj, dx: targetDx, dy: targetDx });
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return { cycle: { ...cycle, forecastHour: 0, runIso: `${cycle.date.slice(0, 4)}-${cycle.date.slice(4, 6)}-${cycle.date.slice(6)}T${String(cycle.hour).padStart(2, '0')}:00:00.000Z` }, level: '10 m above ground', units: 'm/s', grid };
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}
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