Climate & weather

ECMWF IFS Analysis N320 - Beyond Weather Icechunk Zarr

The ECMWF Integrated Forecasting System (IFS) operational analysis, every 6 hours from 2011 to 2026, on the native N320 reduced Gaussian grid (542,080 points, about 31 km). It contains a selection of variables: 6 upper-air variables on 18 pressure levels, 22 surface variables, and the land-sea mask and orography of each IFS cycle. This is the input set of data-driven weather models such as ECMWF's AIFS, for training, fine-tuning and verification. Stored as versioned Icechunk Zarr, chunked by timestep for fast random access.

Listed for discovery. Access is provided by the original publisher under its terms.

Data coverage

The ECMWF Integrated Forecasting System (IFS) operational analysis, every 6 hours from 2011 to 2026, on the native N320 reduced Gaussian grid (542,080 points, about 31 km). It contains a selection of variables: 6 upper-air variables on 18 pressure levels, 22 surface variables, and the land-sea mask and orography of each IFS cycle. This is the input set of data-driven weather models such as ECMWF's AIFS, for training, fine-tuning and verification. Stored as versioned Icechunk Zarr, chunked by timestep for fast random access.

Access & permitted use

Review the publisher’s documentation for availability, eligibility and permitted uses, including commercial analysis, model training and redistribution.

Creative Commons Attribution 4.0 International (CC BY 4.0), following the ECMWF terms of use. Copyright © 2011-2026 European Centre for Medium-Range Weather Forecasts (ECMWF). Source: www.ecmwf.int. ECMWF does not accept any liability whatsoever for any error or omission in the data, their availability, or for any loss or damage arising from their use. Modified by Beyond Weather: selection of variables and levels, interpolation to the N320 grid by ECMWF MARS, conversion from GRIB to Icechunk Zarr, renaming of variables, and lossy bit rounding. Beyond Weather provides its modifications and hosting as-is, without warranty, to the fullest extent permitted by law. This modified dataset is not endorsed by, sponsored by or affiliated with ECMWF.

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