Pith Number

pith:LJ6JEZDO

pith:2026:LJ6JEZDOU6F7TD4UKUSXX62LJA

not attested not anchored not stored refs pending

Calibration of a neural network ocean closure for improved mean state and variability

Alistair Adcroft, Laure Zanna, Pavel Perezhogin

Calibrating a neural network parameterization of mesoscale eddies with ensemble inversion reduces errors in coarse ocean model mean state and variability by a factor of two.

arxiv:2604.06398 v2 · 2026-04-07 · physics.ao-ph · cs.LG · physics.comp-ph

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\usepackage{pith}
\pithnumber{LJ6JEZDOU6F7TD4UKUSXX62LJA}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

The calibrated parameterization reduces errors in the time-averaged fluid interfaces and their variability by approximately a factor of two compared to the unparameterized model or the offline-trained parameterization.

C2weakest assumption

That the neural network form can faithfully represent the net effect of mesoscale eddies once its parameters are calibrated, and that the chosen target statistics from idealized models remain informative when transferred to global configurations.

C3one line summary

Calibrating a neural network mesoscale eddy parameterization via Ensemble Kalman Inversion halves errors in mean state and variability for coarse ocean models.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:04:30.882839Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

5a7c92646ea78bf98f9455257bfb4b483dfc47d306996a62f4e89b7864224030

Aliases

arxiv: 2604.06398 · arxiv_version: 2604.06398v2 · doi: 10.48550/arxiv.2604.06398 · pith_short_12: LJ6JEZDOU6F7 · pith_short_16: LJ6JEZDOU6F7TD4U · pith_short_8: LJ6JEZDO

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/LJ6JEZDOU6F7TD4UKUSXX62LJA \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 5a7c92646ea78bf98f9455257bfb4b483dfc47d306996a62f4e89b7864224030

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "2e77b3c36d386097da71ad6f1729e3c7fe8e9ddd1fac6c476fdeea743d5e6b1b",
    "cross_cats_sorted": [
      "cs.LG",
      "physics.comp-ph"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "physics.ao-ph",
    "submitted_at": "2026-04-07T19:32:25Z",
    "title_canon_sha256": "8264a9d39757dc2e959cf7e49bdfd13c3dc2141ad5193e2b5a86a9a21ce7d594"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.06398",
    "kind": "arxiv",
    "version": 2
  }
}