Pith Number

pith:2KWNIJ2C

pith:2026:2KWNIJ2CNH7Z72FNGDVVF4ES5K

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Demographics of Mesoscale Eddies in an Eddy-Permitting Ocean Model and Reanalysis

Benjamin Lombardi, Ian Grooms, William Kleiber

Eddy-permitting ocean models and reanalysis data miss nearly 30 percent of the mesoscale eddies detected in satellite altimetry and produce eddies that live longer, grow larger, and remain weaker.

arxiv:2604.22524 v1 · 2026-04-24 · physics.ao-ph

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4 Citations open

5 Replications open

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Claims

C1strongest claim

When compared to eddies observed in satellite altimetry data, eddies in reanalysis data and ocean model output are missing almost 30% of the number of eddy trajectories. In addition to missing eddy trajectories, the characteristics of eddies in reanalysis data and ocean model output differ from eddies observed in satellite altimetry data. At a high level, eddies in reanalysis data and ocean model output tend to live longer, are larger, and are weaker than eddies in observed altimetry data.

C2weakest assumption

That the eddy detection and tracking algorithm applied consistently to altimetry, reanalysis, and model output produces directly comparable results without systematic biases arising from differences in data noise, resolution effects, or how the underlying fields are generated.

C3one line summary

Ocean models and reanalyses at 1/4° resolution capture fewer, longer-lasting, larger, and weaker mesoscale eddies than satellite observations.

References

5 extracted · 5 resolved · 0 Pith anchors

[1] doi:https://doi.org/10.1038/s41586-022-05162-6. C. Pegliasco, A. Delepoulle, E. Mason, R. Morrow, Y. Faug´ ere, and G. Dibarboure. Meta3.1exp: a new global mesoscale eddy trajectory atlas derived from 2022 · doi:10.1038/s41586-022-05162-6

[2] 30 Reindert J Haarsma, Malcolm J Roberts, Pier Luigi Vidale, Catherine A Senior, Alessio Bellucci, Qing Bao, Ping Chang, Susanna Corti, Neven S Fuˇ ckar, Virginie Guemas, et al 2008 · doi:10.1016/j.pocean.2008.10.013

[3] Issued by CLS under ser- vice contract 2022/C3S2 312b MOi/SC1 2022 · doi:10.5194/os-

[4] Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing 1995 · doi:10.1111/j.2517-6161.1995.tb02031.x

[5] 32 Elizabeth Yankovsky, Scott Bachman, K Shafer Smith, and Laure Zanna 2023 · doi:10.1016/j.ocemod.2023.102265

Receipt and verification

First computed	2026-05-20T00:03:12.504511Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d2acd4274269ff9fe8ad30eb52f092eab38a99bf5d3b1e21c80d21e39d7624fd

Aliases

arxiv: 2604.22524 · arxiv_version: 2604.22524v1 · doi: 10.48550/arxiv.2604.22524 · pith_short_12: 2KWNIJ2CNH7Z · pith_short_16: 2KWNIJ2CNH7Z72FN · pith_short_8: 2KWNIJ2C

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/2KWNIJ2CNH7Z72FNGDVVF4ES5K \
  | 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: d2acd4274269ff9fe8ad30eb52f092eab38a99bf5d3b1e21c80d21e39d7624fd

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "47ff77be0258a8ffaff304ab2daaf11dcc5c13134413f5c0c5f07b9a6f57f218",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "physics.ao-ph",
    "submitted_at": "2026-04-24T13:08:20Z",
    "title_canon_sha256": "47fe544412fdf5b1a740031984d358df1d5316ed5e3c3a90a4c5af319c89b87e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.22524",
    "kind": "arxiv",
    "version": 1
  }
}