{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:ITVQ2TFPHDDDR5MUTD55QWEC3T","short_pith_number":"pith:ITVQ2TFP","schema_version":"1.0","canonical_sha256":"44eb0d4caf38c638f59498fbd85882dcd8b4bbe2ba4528cdf05bfc1adfbf870b","source":{"kind":"arxiv","id":"1902.04458","version":2},"attestation_state":"computed","paper":{"title":"Uncovering temporal regularity in atmospheric dynamics through Hilbert phase analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.data-an"],"primary_cat":"physics.ao-ph","authors_text":"Cristina Masoller, Dario A. Zappal\\`a, Marcelo Barreiro","submitted_at":"2019-02-06T18:54:40Z","abstract_excerpt":"Uncovering meaningful regularities in complex oscillatory signals is a challenging problem with applications across a wide range of disciplines. Here we present a novel approach, based on the Hilbert transform (HT). We show that temporal periodicity can be uncovered by averaging the signal in a moving window of appropriated length, $\\tau$, before applying the HT. By analyzing the variation of the mean rotation period, $\\overline{T}$, of the Hilbert phase as a function of $\\tau$, we discover well-defined plateaus. In many geographical regions the plateau corresponds to the expected one-year sol"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1902.04458","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.ao-ph","submitted_at":"2019-02-06T18:54:40Z","cross_cats_sorted":["physics.data-an"],"title_canon_sha256":"3c2043e472f2a1d09261f4296daf9c8fca1ab3ec57aa4f13813f2db806fa95ec","abstract_canon_sha256":"b18f9cb6f172b03f3caef097922aae4c8023c2c9aa7f21b430abff403d48c859"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:45:30.052308Z","signature_b64":"D3TbNaDEe79fpGMCMxCYbqn533UQ/HQs6/nuLxBOXccEyX9+cfxUcK1pWphivevBHXnWEW2x8LxQ+cd9VJGpCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"44eb0d4caf38c638f59498fbd85882dcd8b4bbe2ba4528cdf05bfc1adfbf870b","last_reissued_at":"2026-05-17T23:45:30.051678Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:45:30.051678Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Uncovering temporal regularity in atmospheric dynamics through Hilbert phase analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.data-an"],"primary_cat":"physics.ao-ph","authors_text":"Cristina Masoller, Dario A. Zappal\\`a, Marcelo Barreiro","submitted_at":"2019-02-06T18:54:40Z","abstract_excerpt":"Uncovering meaningful regularities in complex oscillatory signals is a challenging problem with applications across a wide range of disciplines. Here we present a novel approach, based on the Hilbert transform (HT). We show that temporal periodicity can be uncovered by averaging the signal in a moving window of appropriated length, $\\tau$, before applying the HT. By analyzing the variation of the mean rotation period, $\\overline{T}$, of the Hilbert phase as a function of $\\tau$, we discover well-defined plateaus. In many geographical regions the plateau corresponds to the expected one-year sol"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.04458","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1902.04458","created_at":"2026-05-17T23:45:30.051756+00:00"},{"alias_kind":"arxiv_version","alias_value":"1902.04458v2","created_at":"2026-05-17T23:45:30.051756+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.04458","created_at":"2026-05-17T23:45:30.051756+00:00"},{"alias_kind":"pith_short_12","alias_value":"ITVQ2TFPHDDD","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_16","alias_value":"ITVQ2TFPHDDDR5MU","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_8","alias_value":"ITVQ2TFP","created_at":"2026-05-18T12:33:18.533446+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ITVQ2TFPHDDDR5MUTD55QWEC3T","json":"https://pith.science/pith/ITVQ2TFPHDDDR5MUTD55QWEC3T.json","graph_json":"https://pith.science/api/pith-number/ITVQ2TFPHDDDR5MUTD55QWEC3T/graph.json","events_json":"https://pith.science/api/pith-number/ITVQ2TFPHDDDR5MUTD55QWEC3T/events.json","paper":"https://pith.science/paper/ITVQ2TFP"},"agent_actions":{"view_html":"https://pith.science/pith/ITVQ2TFPHDDDR5MUTD55QWEC3T","download_json":"https://pith.science/pith/ITVQ2TFPHDDDR5MUTD55QWEC3T.json","view_paper":"https://pith.science/paper/ITVQ2TFP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1902.04458&json=true","fetch_graph":"https://pith.science/api/pith-number/ITVQ2TFPHDDDR5MUTD55QWEC3T/graph.json","fetch_events":"https://pith.science/api/pith-number/ITVQ2TFPHDDDR5MUTD55QWEC3T/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ITVQ2TFPHDDDR5MUTD55QWEC3T/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ITVQ2TFPHDDDR5MUTD55QWEC3T/action/storage_attestation","attest_author":"https://pith.science/pith/ITVQ2TFPHDDDR5MUTD55QWEC3T/action/author_attestation","sign_citation":"https://pith.science/pith/ITVQ2TFPHDDDR5MUTD55QWEC3T/action/citation_signature","submit_replication":"https://pith.science/pith/ITVQ2TFPHDDDR5MUTD55QWEC3T/action/replication_record"}},"created_at":"2026-05-17T23:45:30.051756+00:00","updated_at":"2026-05-17T23:45:30.051756+00:00"}