{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:SXISPJDXGDW4BUDUFYNNIK4YOG","short_pith_number":"pith:SXISPJDX","schema_version":"1.0","canonical_sha256":"95d127a47730edc0d0742e1ad42b9871a628ca37596cf58638101d4c3daa658b","source":{"kind":"arxiv","id":"2004.06628","version":1},"attestation_state":"computed","paper":{"title":"Network-based Approach and Climate Change Benefits for Forecasting the Amount of Indian Monsoon Rainfall","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.stat-mech","physics.geo-ph"],"primary_cat":"physics.ao-ph","authors_text":"Elena Surovyatkina, Hans Joachim Schellnhuber, Jingfang Fan, Josef Ludescher, Jun Meng, J\\\"urgen Kurths, Xiaosong Chen, Zhaoyuan Li","submitted_at":"2020-04-14T16:21:02Z","abstract_excerpt":"The Indian summer monsoon rainfall (ISMR) has a decisive influence on India's agricultural output and economy. Extreme deviations from the normal seasonal amount of rainfall can cause severe droughts or floods, affecting Indian food production and security. Despite the development of sophisticated statistical and dynamical climate models, a long-term and reliable prediction of the ISMR has remained a challenging problem. Towards achieving this goal, here we construct a series of dynamical and physical climate networks based on the global near surface air temperature field. We uncover that some"},"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":"2004.06628","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.ao-ph","submitted_at":"2020-04-14T16:21:02Z","cross_cats_sorted":["cond-mat.stat-mech","physics.geo-ph"],"title_canon_sha256":"541d23c6bf3cb68fd81284a86f4a7a981515429b778c93d980b52140a482d386","abstract_canon_sha256":"8e57bca8fbe5fcd46ac0c6fb0b456f1cbf7682cae902cde59b33254f67a8c5a4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:54:54.084374Z","signature_b64":"Qek9KDlD+JtnaAsRcGq4skYOfa1THmUVoVluRsYKRAS1prZ/FRppf7ZKVlq3zfggFvxHW7Et6wW5gXZNy+UXAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"95d127a47730edc0d0742e1ad42b9871a628ca37596cf58638101d4c3daa658b","last_reissued_at":"2026-07-05T00:54:54.083968Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:54:54.083968Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Network-based Approach and Climate Change Benefits for Forecasting the Amount of Indian Monsoon Rainfall","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.stat-mech","physics.geo-ph"],"primary_cat":"physics.ao-ph","authors_text":"Elena Surovyatkina, Hans Joachim Schellnhuber, Jingfang Fan, Josef Ludescher, Jun Meng, J\\\"urgen Kurths, Xiaosong Chen, Zhaoyuan Li","submitted_at":"2020-04-14T16:21:02Z","abstract_excerpt":"The Indian summer monsoon rainfall (ISMR) has a decisive influence on India's agricultural output and economy. Extreme deviations from the normal seasonal amount of rainfall can cause severe droughts or floods, affecting Indian food production and security. Despite the development of sophisticated statistical and dynamical climate models, a long-term and reliable prediction of the ISMR has remained a challenging problem. Towards achieving this goal, here we construct a series of dynamical and physical climate networks based on the global near surface air temperature field. We uncover that some"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.06628","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2004.06628/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2004.06628","created_at":"2026-07-05T00:54:54.084025+00:00"},{"alias_kind":"arxiv_version","alias_value":"2004.06628v1","created_at":"2026-07-05T00:54:54.084025+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.06628","created_at":"2026-07-05T00:54:54.084025+00:00"},{"alias_kind":"pith_short_12","alias_value":"SXISPJDXGDW4","created_at":"2026-07-05T00:54:54.084025+00:00"},{"alias_kind":"pith_short_16","alias_value":"SXISPJDXGDW4BUDU","created_at":"2026-07-05T00:54:54.084025+00:00"},{"alias_kind":"pith_short_8","alias_value":"SXISPJDX","created_at":"2026-07-05T00:54:54.084025+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/SXISPJDXGDW4BUDUFYNNIK4YOG","json":"https://pith.science/pith/SXISPJDXGDW4BUDUFYNNIK4YOG.json","graph_json":"https://pith.science/api/pith-number/SXISPJDXGDW4BUDUFYNNIK4YOG/graph.json","events_json":"https://pith.science/api/pith-number/SXISPJDXGDW4BUDUFYNNIK4YOG/events.json","paper":"https://pith.science/paper/SXISPJDX"},"agent_actions":{"view_html":"https://pith.science/pith/SXISPJDXGDW4BUDUFYNNIK4YOG","download_json":"https://pith.science/pith/SXISPJDXGDW4BUDUFYNNIK4YOG.json","view_paper":"https://pith.science/paper/SXISPJDX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2004.06628&json=true","fetch_graph":"https://pith.science/api/pith-number/SXISPJDXGDW4BUDUFYNNIK4YOG/graph.json","fetch_events":"https://pith.science/api/pith-number/SXISPJDXGDW4BUDUFYNNIK4YOG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SXISPJDXGDW4BUDUFYNNIK4YOG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SXISPJDXGDW4BUDUFYNNIK4YOG/action/storage_attestation","attest_author":"https://pith.science/pith/SXISPJDXGDW4BUDUFYNNIK4YOG/action/author_attestation","sign_citation":"https://pith.science/pith/SXISPJDXGDW4BUDUFYNNIK4YOG/action/citation_signature","submit_replication":"https://pith.science/pith/SXISPJDXGDW4BUDUFYNNIK4YOG/action/replication_record"}},"created_at":"2026-07-05T00:54:54.084025+00:00","updated_at":"2026-07-05T00:54:54.084025+00:00"}