pith:DN36FPBU
Coarse-grained local available potential energy
Spatial filtering applied to local available potential energy produces separate evolution equations for large and small scales plus a cross-scale flux term.
arxiv:2605.15879 v1 · 2026-05-15 · physics.flu-dyn · physics.ao-ph
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\pithnumber{DN36FPBUR67RMP6YFRELNTEFMJ}
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Claims
Evolution equations for the APE at scales larger, and smaller, than the filtering scale are derived -- including the cross-scale APE flux term. These results can be paired with existing frameworks for coarse-grained kinetic energy, offering the potential for examining a complete energy cycle that accounts for conversions between both spatial scales and energy reservoirs.
The local definition of available potential energy remains meaningful and useful after spatial filtering is applied, and the resulting filtered quantities satisfy the same physical interpretations as the unfiltered local APE (abstract, paragraph 1 and the derivation statement).
A coarse-graining method is introduced to derive multi-scale evolution equations for local available potential energy, including cross-scale fluxes, with an example application to a Kelvin-Helmholtz instability simulation.
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| First computed | 2026-05-20T00:01:23.328567Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1b77e2bc348fbf163fd82c48b6cc856244b26bc53737c0650c43fdeea56d38b5
Aliases
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DN36FPBUR67RMP6YFRELNTEFMJ \
| 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: 1b77e2bc348fbf163fd82c48b6cc856244b26bc53737c0650c43fdeea56d38b5
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
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