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/earth2studio-deterministic-forecast

@55d907b
by NVIDIA Corporationnvidia/skills3.5k stars
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Build deterministic forecast scripts with Earth2Studio (model, data source, IO, inference). Do NOT use for ensemble, diagnostics, data-only fetch, or install.

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Use this Skill: https://skilld.dev/gh/nvidia/skills/earth2studio-deterministic-forecast

This session only. Nothing lands on disk.

referencestroubleshooting.md

≈386 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Troubleshooting Guide

Common Errors

Error Cause Solution
KeyError on variable Lexicon missing variable Check compat; pick different source
OutOfMemoryError VRAM exceeded Use smaller model or free cache
FileNotFoundError package Weights not cached Call load_default_package() first
TimeoutError data fetch API slow/unreachable Retry or use cached source
ValueError: nsteps Horizon < model step Increase horizon or finer model

Model-Data Source Compatibility

Common pairings:

  • Global models (AIFS, Pangu, GraphCast, SFNO, etc.) → GFS, ARCO, CDS, WB2ERA5, IFS
  • Regional models (StormCast, HRRR-based) → HRRR
  • Historical/research runs → ARCO, CDS, WB2ERA5, NCAR_ERA5

IO Backend Selection

Backend Best for
ZarrBackend Large outputs, chunked storage, recommended default
AsyncZarrBackend Same as Zarr but async writes for performance
NetCDF4Backend Compatibility with legacy tools
XarrayBackend In-memory, small runs, interactive exploration
KVBackend Key-value dict, debugging

Limitations

  • Only deterministic (single-member) forecasts; use ensemble workflow for probabilistic runs
  • Cannot train or fine-tune models — inference only
  • Model weights require first-time download (several GB depending on model)
  • Regional models (e.g. StormCast) require matching regional data sources
  • GPU required; CPU-only inference is not supported for most models

Source: SKILL.md on GitHub

Third-party checks

1 warning3mo3 checks · Risk MEDIUM
  • Gen Agent Trust Hub3mo

    The Earth-2 deterministic forecast skill is functional for creating weather prediction scripts. However, a setup script in the evaluation environment modifies a system configuration file (/etc/environment), which could be exploited for path injection. Users should ensure the environment variables are securely managed.

  • Socket3mo

    No alerts

  • Snyk3mo

    Risk: LOW · No issues

Provenance

Signed by skilld at 55d907b. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 4 months ago

Capability

version
0.16.0
Other metadata
metadata
{
  "author": "NVIDIA Earth-2 Team",
  "tags": [
    "earth2studio",
    "earth2",
    "python",
    "inference",
    "forecast",
    "deterministic"
  ]
}

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