{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:ELV5LEYQS35XSJXZODOB2K5Z7L","short_pith_number":"pith:ELV5LEYQ","schema_version":"1.0","canonical_sha256":"22ebd5931096fb7926f970dc1d2bb9fafa44cabf9cc3ab1f466f5fd505ba19a5","source":{"kind":"arxiv","id":"1805.01596","version":2},"attestation_state":"computed","paper":{"title":"Reduced-order modeling of fully turbulent buoyancy-driven flows using the Green's function method","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["nlin.CD","physics.ao-ph"],"primary_cat":"physics.flu-dyn","authors_text":"M. A. Khodkar, Pedram Hassanzadeh, Piyush Grover, Saleh Nabi","submitted_at":"2018-05-04T03:25:01Z","abstract_excerpt":"A One-Dimensional (1D) Reduced-Order Model (ROM) has been developed for a 3D Rayleigh-B\\'enard convection system in the turbulent regime with Rayleigh number $\\mathrm{Ra}=10^6$. The state vector of the 1D ROM is horizontally averaged temperature. Using the Green's Function (GRF) method, which involves applying many localized, weak forcings to the system one at a time and calculating the responses using long-time averaged Direct Numerical Simulations (DNS), the system's Linear Response Function (LRF) has been computed. Another matrix, called the Eddy Flux Matrix (EFM), that relates changes in t"},"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":"1805.01596","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2018-05-04T03:25:01Z","cross_cats_sorted":["nlin.CD","physics.ao-ph"],"title_canon_sha256":"e7cbadaef2431ef2f4446d416015f1f1a65da4816f6401a7b674f4e66f126a5d","abstract_canon_sha256":"8b42c9809338190af7462fb4049b0f31e3834d02f8c147e9e0f35028f04bcecf"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:56:20.814576Z","signature_b64":"PfH9wh1Dyuxnd4O7zHKV1gB10hrIGG24HC9l2ovi5+jGL2BxaezIwDz07yf4p1U4TAgySeAGFID52fYDDpYtBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"22ebd5931096fb7926f970dc1d2bb9fafa44cabf9cc3ab1f466f5fd505ba19a5","last_reissued_at":"2026-05-17T23:56:20.813942Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:56:20.813942Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Reduced-order modeling of fully turbulent buoyancy-driven flows using the Green's function method","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["nlin.CD","physics.ao-ph"],"primary_cat":"physics.flu-dyn","authors_text":"M. A. Khodkar, Pedram Hassanzadeh, Piyush Grover, Saleh Nabi","submitted_at":"2018-05-04T03:25:01Z","abstract_excerpt":"A One-Dimensional (1D) Reduced-Order Model (ROM) has been developed for a 3D Rayleigh-B\\'enard convection system in the turbulent regime with Rayleigh number $\\mathrm{Ra}=10^6$. The state vector of the 1D ROM is horizontally averaged temperature. Using the Green's Function (GRF) method, which involves applying many localized, weak forcings to the system one at a time and calculating the responses using long-time averaged Direct Numerical Simulations (DNS), the system's Linear Response Function (LRF) has been computed. Another matrix, called the Eddy Flux Matrix (EFM), that relates changes in t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.01596","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":"1805.01596","created_at":"2026-05-17T23:56:20.814042+00:00"},{"alias_kind":"arxiv_version","alias_value":"1805.01596v2","created_at":"2026-05-17T23:56:20.814042+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.01596","created_at":"2026-05-17T23:56:20.814042+00:00"},{"alias_kind":"pith_short_12","alias_value":"ELV5LEYQS35X","created_at":"2026-05-18T12:32:22.470017+00:00"},{"alias_kind":"pith_short_16","alias_value":"ELV5LEYQS35XSJXZ","created_at":"2026-05-18T12:32:22.470017+00:00"},{"alias_kind":"pith_short_8","alias_value":"ELV5LEYQ","created_at":"2026-05-18T12:32:22.470017+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/ELV5LEYQS35XSJXZODOB2K5Z7L","json":"https://pith.science/pith/ELV5LEYQS35XSJXZODOB2K5Z7L.json","graph_json":"https://pith.science/api/pith-number/ELV5LEYQS35XSJXZODOB2K5Z7L/graph.json","events_json":"https://pith.science/api/pith-number/ELV5LEYQS35XSJXZODOB2K5Z7L/events.json","paper":"https://pith.science/paper/ELV5LEYQ"},"agent_actions":{"view_html":"https://pith.science/pith/ELV5LEYQS35XSJXZODOB2K5Z7L","download_json":"https://pith.science/pith/ELV5LEYQS35XSJXZODOB2K5Z7L.json","view_paper":"https://pith.science/paper/ELV5LEYQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1805.01596&json=true","fetch_graph":"https://pith.science/api/pith-number/ELV5LEYQS35XSJXZODOB2K5Z7L/graph.json","fetch_events":"https://pith.science/api/pith-number/ELV5LEYQS35XSJXZODOB2K5Z7L/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ELV5LEYQS35XSJXZODOB2K5Z7L/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ELV5LEYQS35XSJXZODOB2K5Z7L/action/storage_attestation","attest_author":"https://pith.science/pith/ELV5LEYQS35XSJXZODOB2K5Z7L/action/author_attestation","sign_citation":"https://pith.science/pith/ELV5LEYQS35XSJXZODOB2K5Z7L/action/citation_signature","submit_replication":"https://pith.science/pith/ELV5LEYQS35XSJXZODOB2K5Z7L/action/replication_record"}},"created_at":"2026-05-17T23:56:20.814042+00:00","updated_at":"2026-05-17T23:56:20.814042+00:00"}