{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:YFCRW7O4MLI72DQCS6K3RB4HZ7","short_pith_number":"pith:YFCRW7O4","schema_version":"1.0","canonical_sha256":"c1451b7ddc62d1fd0e029795b88787cfdb218f6d457745f10bf363081162ce8d","source":{"kind":"arxiv","id":"1901.08476","version":1},"attestation_state":"computed","paper":{"title":"A validated high-resolution hydro power time-series model for energy systems analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.soc-ph","authors_text":"Gorm Bruun Andresen, Hailiang Liu, Martin Greiner, Tom Brown","submitted_at":"2019-01-14T11:15:40Z","abstract_excerpt":"We expand the renewable technology model palette and present a validated high resolution hydro power time series model for energy systems analysis. Among the popular renewables, hydroelectricity shows unique storage-like flexibility, which is particularly important given the high variability of wind and solar power. Often limited by data availability or computational performance, a high resolution, globally applicable and validated hydro power time series model has not been available. For a demonstration, we focus on 41 Chinese reservoir-based hydro stations as a demo, determine their upstream"},"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":"1901.08476","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2019-01-14T11:15:40Z","cross_cats_sorted":[],"title_canon_sha256":"aab7af503cabc088ea5c9ab3919052eb5f1e2c9d1955d72bef9319c27bc9cd89","abstract_canon_sha256":"719106c9c43d2a3626172d33c797b87c9860e472a8303a911f3216e949be0871"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:16.903507Z","signature_b64":"7HTSxBzd+3CYeblMGU0b21uJMdBiRAD7HZ4bNLemTaQKDd/ab6Tx+sPpd1RRgwrr28kFgEj5q0byC/LvzcgyDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c1451b7ddc62d1fd0e029795b88787cfdb218f6d457745f10bf363081162ce8d","last_reissued_at":"2026-05-17T23:43:16.902782Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:16.902782Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A validated high-resolution hydro power time-series model for energy systems analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.soc-ph","authors_text":"Gorm Bruun Andresen, Hailiang Liu, Martin Greiner, Tom Brown","submitted_at":"2019-01-14T11:15:40Z","abstract_excerpt":"We expand the renewable technology model palette and present a validated high resolution hydro power time series model for energy systems analysis. Among the popular renewables, hydroelectricity shows unique storage-like flexibility, which is particularly important given the high variability of wind and solar power. Often limited by data availability or computational performance, a high resolution, globally applicable and validated hydro power time series model has not been available. For a demonstration, we focus on 41 Chinese reservoir-based hydro stations as a demo, determine their upstream"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.08476","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":"1901.08476","created_at":"2026-05-17T23:43:16.902888+00:00"},{"alias_kind":"arxiv_version","alias_value":"1901.08476v1","created_at":"2026-05-17T23:43:16.902888+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.08476","created_at":"2026-05-17T23:43:16.902888+00:00"},{"alias_kind":"pith_short_12","alias_value":"YFCRW7O4MLI7","created_at":"2026-05-18T12:33:33.725879+00:00"},{"alias_kind":"pith_short_16","alias_value":"YFCRW7O4MLI72DQC","created_at":"2026-05-18T12:33:33.725879+00:00"},{"alias_kind":"pith_short_8","alias_value":"YFCRW7O4","created_at":"2026-05-18T12:33:33.725879+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/YFCRW7O4MLI72DQCS6K3RB4HZ7","json":"https://pith.science/pith/YFCRW7O4MLI72DQCS6K3RB4HZ7.json","graph_json":"https://pith.science/api/pith-number/YFCRW7O4MLI72DQCS6K3RB4HZ7/graph.json","events_json":"https://pith.science/api/pith-number/YFCRW7O4MLI72DQCS6K3RB4HZ7/events.json","paper":"https://pith.science/paper/YFCRW7O4"},"agent_actions":{"view_html":"https://pith.science/pith/YFCRW7O4MLI72DQCS6K3RB4HZ7","download_json":"https://pith.science/pith/YFCRW7O4MLI72DQCS6K3RB4HZ7.json","view_paper":"https://pith.science/paper/YFCRW7O4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1901.08476&json=true","fetch_graph":"https://pith.science/api/pith-number/YFCRW7O4MLI72DQCS6K3RB4HZ7/graph.json","fetch_events":"https://pith.science/api/pith-number/YFCRW7O4MLI72DQCS6K3RB4HZ7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YFCRW7O4MLI72DQCS6K3RB4HZ7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YFCRW7O4MLI72DQCS6K3RB4HZ7/action/storage_attestation","attest_author":"https://pith.science/pith/YFCRW7O4MLI72DQCS6K3RB4HZ7/action/author_attestation","sign_citation":"https://pith.science/pith/YFCRW7O4MLI72DQCS6K3RB4HZ7/action/citation_signature","submit_replication":"https://pith.science/pith/YFCRW7O4MLI72DQCS6K3RB4HZ7/action/replication_record"}},"created_at":"2026-05-17T23:43:16.902888+00:00","updated_at":"2026-05-17T23:43:16.902888+00:00"}