{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:QWAMWLTBT3GTERSNCJORYNUWUC","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"adc8c88d1e9df4f4927b509e66ee49dd4aaa108e2ef23aa6e5509201ef173c35","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.ao-ph","submitted_at":"2018-06-28T15:30:48Z","title_canon_sha256":"319497464fd943a148927a3e049bf869dcf863cd49245d1abb7af0e8b364bd9f"},"schema_version":"1.0","source":{"id":"1806.11037","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.11037","created_at":"2026-05-17T23:59:38Z"},{"alias_kind":"arxiv_version","alias_value":"1806.11037v2","created_at":"2026-05-17T23:59:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.11037","created_at":"2026-05-17T23:59:38Z"},{"alias_kind":"pith_short_12","alias_value":"QWAMWLTBT3GT","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"QWAMWLTBT3GTERSN","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"QWAMWLTB","created_at":"2026-05-18T12:32:46Z"}],"graph_snapshots":[{"event_id":"sha256:aa77980c83974d7747065177412b74feda162f77dd091561cfa64e1d434d8ace","target":"graph","created_at":"2026-05-17T23:59:38Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"The parameterization of moist convection contributes to uncertainty in climate modeling and numerical weather prediction. Machine learning (ML) can be used to learn new parameterizations directly from high-resolution model output, but it remains poorly understood how such parameterizations behave when fully coupled in a general circulation model (GCM) and whether they are useful for simulations of climate change or extreme events. Here, we focus on these issues using idealized tests in which an ML-based parameterization is trained on output from a conventional parameterization and its performa","authors_text":"John G. Dwyer, Paul A. O'Gorman","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.ao-ph","submitted_at":"2018-06-28T15:30:48Z","title":"Using machine learning to parameterize moist convection: potential for modeling of climate, climate change and extreme events"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.11037","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:2d4e1644097393e2b546119217624625aa1f992e435c47393eb3faf382667b4e","target":"record","created_at":"2026-05-17T23:59:38Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"adc8c88d1e9df4f4927b509e66ee49dd4aaa108e2ef23aa6e5509201ef173c35","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.ao-ph","submitted_at":"2018-06-28T15:30:48Z","title_canon_sha256":"319497464fd943a148927a3e049bf869dcf863cd49245d1abb7af0e8b364bd9f"},"schema_version":"1.0","source":{"id":"1806.11037","kind":"arxiv","version":2}},"canonical_sha256":"8580cb2e619ecd32464d125d1c3696a09bb06ac13a6055bbba429b2fabd5d77a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8580cb2e619ecd32464d125d1c3696a09bb06ac13a6055bbba429b2fabd5d77a","first_computed_at":"2026-05-17T23:59:38.614346Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:59:38.614346Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pKShfdi81LCe+mqpWVb0BxlpwXEyFIIhTNKW0s72UKXZ8Pq3l6RLGeTwK1sq84Q9kngcvhXCJCMoZIy7DiLCCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:59:38.615160Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.11037","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2d4e1644097393e2b546119217624625aa1f992e435c47393eb3faf382667b4e","sha256:aa77980c83974d7747065177412b74feda162f77dd091561cfa64e1d434d8ace"],"state_sha256":"91d4e83e160e078bf8533e0ff8c4d8a14fa4d3619b36fec04a2d52b69254b419"}