{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:32MSYZNNEGH2DAOIXKSCXT7JWW","short_pith_number":"pith:32MSYZNN","schema_version":"1.0","canonical_sha256":"de992c65ad218fa181c8baa42bcfe9b5837d49aef8029ceede1f33ec08ba29d6","source":{"kind":"arxiv","id":"1802.04429","version":1},"attestation_state":"computed","paper":{"title":"Accuracy of the Muskingum-Cunge method for constant-parameter diffusion-wave channel routing with lateral inflow","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"physics.flu-dyn","authors_text":"Fritz R. Fiedler, Joan Q. Wu, Li Wang, Sergey Lapin, William J. Elliot","submitted_at":"2018-02-13T01:59:59Z","abstract_excerpt":"Channel routing is important in flood forecasting and watershed modeling. The general constant-parameter Muskingum-Cunge (CPMC) method is second-order accurate and easy to implement. With specific discretizations such that the temporal and spatial intervals maintain a unique relationship, the CPMC method can be third-order accurate. In this paper, we derive the average lateral inflow term in the second- and third-order accuracy CPMC method, and demonstrate that For spatially and temporally variable lateral inflow, the effect of lateral inflow on simulated discharge varies with spatial and temp"},"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":"1802.04429","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2018-02-13T01:59:59Z","cross_cats_sorted":["physics.comp-ph"],"title_canon_sha256":"e8297ef635de5235a75d9487737b66a6060825cd4bb218ee9e9a22cfa17aed53","abstract_canon_sha256":"cb64b8f512785a45f5f791e9fb2c1032f1d301de77bc2d600fd10cbbdf75d604"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:23:44.216815Z","signature_b64":"5Z6Ux1GOVPNrmCGM87xdYsIj8MR9PuY2fLk2seP0VEwHVMMBgdzfeD1kIhJeCmLhgsR+rXl7Tl4F+oIll4FlDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"de992c65ad218fa181c8baa42bcfe9b5837d49aef8029ceede1f33ec08ba29d6","last_reissued_at":"2026-05-18T00:23:44.216379Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:23:44.216379Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Accuracy of the Muskingum-Cunge method for constant-parameter diffusion-wave channel routing with lateral inflow","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"physics.flu-dyn","authors_text":"Fritz R. Fiedler, Joan Q. Wu, Li Wang, Sergey Lapin, William J. Elliot","submitted_at":"2018-02-13T01:59:59Z","abstract_excerpt":"Channel routing is important in flood forecasting and watershed modeling. The general constant-parameter Muskingum-Cunge (CPMC) method is second-order accurate and easy to implement. With specific discretizations such that the temporal and spatial intervals maintain a unique relationship, the CPMC method can be third-order accurate. In this paper, we derive the average lateral inflow term in the second- and third-order accuracy CPMC method, and demonstrate that For spatially and temporally variable lateral inflow, the effect of lateral inflow on simulated discharge varies with spatial and temp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.04429","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":"1802.04429","created_at":"2026-05-18T00:23:44.216448+00:00"},{"alias_kind":"arxiv_version","alias_value":"1802.04429v1","created_at":"2026-05-18T00:23:44.216448+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.04429","created_at":"2026-05-18T00:23:44.216448+00:00"},{"alias_kind":"pith_short_12","alias_value":"32MSYZNNEGH2","created_at":"2026-05-18T12:32:02.567920+00:00"},{"alias_kind":"pith_short_16","alias_value":"32MSYZNNEGH2DAOI","created_at":"2026-05-18T12:32:02.567920+00:00"},{"alias_kind":"pith_short_8","alias_value":"32MSYZNN","created_at":"2026-05-18T12:32:02.567920+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/32MSYZNNEGH2DAOIXKSCXT7JWW","json":"https://pith.science/pith/32MSYZNNEGH2DAOIXKSCXT7JWW.json","graph_json":"https://pith.science/api/pith-number/32MSYZNNEGH2DAOIXKSCXT7JWW/graph.json","events_json":"https://pith.science/api/pith-number/32MSYZNNEGH2DAOIXKSCXT7JWW/events.json","paper":"https://pith.science/paper/32MSYZNN"},"agent_actions":{"view_html":"https://pith.science/pith/32MSYZNNEGH2DAOIXKSCXT7JWW","download_json":"https://pith.science/pith/32MSYZNNEGH2DAOIXKSCXT7JWW.json","view_paper":"https://pith.science/paper/32MSYZNN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1802.04429&json=true","fetch_graph":"https://pith.science/api/pith-number/32MSYZNNEGH2DAOIXKSCXT7JWW/graph.json","fetch_events":"https://pith.science/api/pith-number/32MSYZNNEGH2DAOIXKSCXT7JWW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/32MSYZNNEGH2DAOIXKSCXT7JWW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/32MSYZNNEGH2DAOIXKSCXT7JWW/action/storage_attestation","attest_author":"https://pith.science/pith/32MSYZNNEGH2DAOIXKSCXT7JWW/action/author_attestation","sign_citation":"https://pith.science/pith/32MSYZNNEGH2DAOIXKSCXT7JWW/action/citation_signature","submit_replication":"https://pith.science/pith/32MSYZNNEGH2DAOIXKSCXT7JWW/action/replication_record"}},"created_at":"2026-05-18T00:23:44.216448+00:00","updated_at":"2026-05-18T00:23:44.216448+00:00"}