{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:74KTPCBZJCY2SCFIOKCBLWLQZR","short_pith_number":"pith:74KTPCBZ","schema_version":"1.0","canonical_sha256":"ff1537883948b1a908a8728415d970cc5868c230d478dbdc6233fc8c25c00c1c","source":{"kind":"arxiv","id":"1901.00435","version":1},"attestation_state":"computed","paper":{"title":"Effect of the land surface thermal patchiness on the Atmospheric Boundary Layer through a quantification of the dispersive fluxes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.flu-dyn"],"primary_cat":"physics.ao-ph","authors_text":"Eric Pardyjak, Fabien Margairaz, Marc Calaf","submitted_at":"2019-01-02T16:10:45Z","abstract_excerpt":"While advances in computation are enabling finer grid resolutions in numerical weather prediction models, representing land-atmosphere exchange processes as a lower boundary condition remains a challenge. This partially results of the fact that land-surface heterogeneity exists at all spatial scales and its variability does not `average' out with decreasing scales. The work here presented uses large-eddy simulations and the concept of dispersive fluxes to quantify the effect of surface thermal heterogeneity with scales $\\sim$ 1/10th the height of the atmospheric boundary layer and characterize"},"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":"1901.00435","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.ao-ph","submitted_at":"2019-01-02T16:10:45Z","cross_cats_sorted":["physics.flu-dyn"],"title_canon_sha256":"ff75e8daa24c765c7c5caa5ec754a5c338bd0a868770811febed1492fa7f7943","abstract_canon_sha256":"3a392967e673bb86214ad68aaf785ae715ec24576be8a516140ad8c434094ac0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:57:03.882984Z","signature_b64":"rz2m9xo/rQWpxV793LIqNVvY3Z2o8a3d3B+s8hLZ/s9voLW+1JLiPKH9pWbK0cNLESgvBhtlplRltUkXMDcADQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ff1537883948b1a908a8728415d970cc5868c230d478dbdc6233fc8c25c00c1c","last_reissued_at":"2026-05-17T23:57:03.882309Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:57:03.882309Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Effect of the land surface thermal patchiness on the Atmospheric Boundary Layer through a quantification of the dispersive fluxes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.flu-dyn"],"primary_cat":"physics.ao-ph","authors_text":"Eric Pardyjak, Fabien Margairaz, Marc Calaf","submitted_at":"2019-01-02T16:10:45Z","abstract_excerpt":"While advances in computation are enabling finer grid resolutions in numerical weather prediction models, representing land-atmosphere exchange processes as a lower boundary condition remains a challenge. This partially results of the fact that land-surface heterogeneity exists at all spatial scales and its variability does not `average' out with decreasing scales. The work here presented uses large-eddy simulations and the concept of dispersive fluxes to quantify the effect of surface thermal heterogeneity with scales $\\sim$ 1/10th the height of the atmospheric boundary layer and characterize"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.00435","kind":"arxiv","version":1},"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":"1901.00435","created_at":"2026-05-17T23:57:03.882420+00:00"},{"alias_kind":"arxiv_version","alias_value":"1901.00435v1","created_at":"2026-05-17T23:57:03.882420+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.00435","created_at":"2026-05-17T23:57:03.882420+00:00"},{"alias_kind":"pith_short_12","alias_value":"74KTPCBZJCY2","created_at":"2026-05-18T12:33:12.712433+00:00"},{"alias_kind":"pith_short_16","alias_value":"74KTPCBZJCY2SCFI","created_at":"2026-05-18T12:33:12.712433+00:00"},{"alias_kind":"pith_short_8","alias_value":"74KTPCBZ","created_at":"2026-05-18T12:33:12.712433+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/74KTPCBZJCY2SCFIOKCBLWLQZR","json":"https://pith.science/pith/74KTPCBZJCY2SCFIOKCBLWLQZR.json","graph_json":"https://pith.science/api/pith-number/74KTPCBZJCY2SCFIOKCBLWLQZR/graph.json","events_json":"https://pith.science/api/pith-number/74KTPCBZJCY2SCFIOKCBLWLQZR/events.json","paper":"https://pith.science/paper/74KTPCBZ"},"agent_actions":{"view_html":"https://pith.science/pith/74KTPCBZJCY2SCFIOKCBLWLQZR","download_json":"https://pith.science/pith/74KTPCBZJCY2SCFIOKCBLWLQZR.json","view_paper":"https://pith.science/paper/74KTPCBZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1901.00435&json=true","fetch_graph":"https://pith.science/api/pith-number/74KTPCBZJCY2SCFIOKCBLWLQZR/graph.json","fetch_events":"https://pith.science/api/pith-number/74KTPCBZJCY2SCFIOKCBLWLQZR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/74KTPCBZJCY2SCFIOKCBLWLQZR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/74KTPCBZJCY2SCFIOKCBLWLQZR/action/storage_attestation","attest_author":"https://pith.science/pith/74KTPCBZJCY2SCFIOKCBLWLQZR/action/author_attestation","sign_citation":"https://pith.science/pith/74KTPCBZJCY2SCFIOKCBLWLQZR/action/citation_signature","submit_replication":"https://pith.science/pith/74KTPCBZJCY2SCFIOKCBLWLQZR/action/replication_record"}},"created_at":"2026-05-17T23:57:03.882420+00:00","updated_at":"2026-05-17T23:57:03.882420+00:00"}