{"id":"https://openalex.org/W7154478248","doi":"https://doi.org/10.48550/arxiv.2604.12306","title":"GCA Framework: A GCC Countries-Grounded Dataset and Agentic Pipeline for Climate Decision Support","display_name":"GCA Framework: A GCC Countries-Grounded Dataset and Agentic Pipeline for Climate Decision Support","publication_year":2026,"publication_date":"2026-04-14","ids":{"openalex":"https://openalex.org/W7154478248","doi":"https://doi.org/10.48550/arxiv.2604.12306"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.12306","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.12306","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.12306","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126471414","display_name":"Muhammad Umer Sheikh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sheikh, Muhammad Umer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066209865","display_name":"Khawar Shehzad","orcid":"https://orcid.org/0009-0007-1552-3161"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shehzad, Khawar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133680702","display_name":"Salman Khan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khan, Salman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133652096","display_name":"Fahad Shahbaz Khan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khan, Fahad Shahbaz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133725886","display_name":"Muhammad Nauman Khan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khan, Muhammad Haris","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.11630000174045563,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.11630000174045563,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.09549999982118607,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.05990000069141388,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.8471999764442444},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6654999852180481},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.5595999956130981},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5139999985694885},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.47110000252723694},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.45879998803138733},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.447299987077713},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4090999960899353}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.8471999764442444},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6654999852180481},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.5595999956130981},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5139999985694885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4921000003814697},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.47110000252723694},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4657999873161316},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.45879998803138733},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.447299987077713},{"id":"https://openalex.org/C107826830","wikidata":"https://www.wikidata.org/wiki/Q929380","display_name":"Environmental resource management","level":1,"score":0.4117000102996826},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4090999960899353},{"id":"https://openalex.org/C168754636","wikidata":"https://www.wikidata.org/wiki/Q620920","display_name":"Climate model","level":3,"score":0.40310001373291016},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.40119999647140503},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3240000009536743},{"id":"https://openalex.org/C41156917","wikidata":"https://www.wikidata.org/wiki/Q682831","display_name":"Downscaling","level":3,"score":0.32260000705718994},{"id":"https://openalex.org/C108170787","wikidata":"https://www.wikidata.org/wiki/Q3951828","display_name":"Agency (philosophy)","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2639000117778778},{"id":"https://openalex.org/C137176749","wikidata":"https://www.wikidata.org/wiki/Q4105337","display_name":"Psychological resilience","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2547999918460846},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C39820584","wikidata":"https://www.wikidata.org/wiki/Q125928","display_name":"Climate pattern","level":3,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.12306","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.12306","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.12306","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.12306","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.8616040349006653,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Climate":[0,62],"decision-making":[1],"in":[2,29,55,120,145],"the":[3,43,56,111,146],"GCC":[4,57,147],"states":[5,148],"increasingly":[6],"demands":[7],"systems":[8],"that":[9,101,128,151],"can":[10],"translate":[11],"heterogeneous":[12],"scientific":[13],"and":[14,33,38,59,79,83,88,95,122,125,132,139,149,154],"policy":[15],"evidence":[16],"into":[17],"actionable":[18],"guidance,":[19],"yet":[20],"general-purpose":[21,161],"large":[22],"language":[23],"models":[24],"(LLMs)":[25],"remain":[26],"weak":[27],"both":[28],"region-specific":[30],"climate":[31,69,143],"knowledge":[32],"grounded":[34,54,119],"interaction":[35],"with":[36,98,104],"geospatial":[37,126],"forecasting":[39],"tools.":[40],"We":[41],"present":[42],"GCA":[44,112],"framework,":[45],"which":[46],"unifies":[47],"(i)":[48],"GCA-DS,":[49],"a":[50,65,115],"curated":[51],"multimodal":[52],"dataset":[53],"states,":[58],"(ii)":[60],"Gulf":[61],"Agent":[63],"(GCA),":[64],"tool-augmented":[66],"agent":[67,113],"for":[68],"analysis.":[70],"GCA-DS":[71],"comprises":[72],"200k":[73],"question--answer":[74],"pairs":[75],"spanning":[76],"governmental":[77],"policies":[78],"adaptation":[80],"plans,":[81],"NGO":[82],"international":[84],"frameworks,":[85],"academic":[86],"literature,":[87],"event-driven":[89],"reporting":[90],"on":[91,108,142],"heatwaves,":[92],"dust":[93],"storms,":[94],"floods,":[96],"complemented":[97],"remote-sensing":[99],"inputs":[100],"couple":[102],"imagery":[103],"textual":[105],"evidence.":[106],"Building":[107],"this":[109],"foundation,":[110],"orchestrates":[114],"modular":[116],"tool":[117,155],"pipeline":[118],"real-time":[121],"historical":[123],"signals":[124],"processing":[127],"produces":[129],"derived":[130],"indices":[131],"interpretable":[133],"visualizations.":[134],"Finally,":[135],"we":[136],"benchmark":[137],"open":[138],"proprietary":[140],"LLMs":[141],"tasks":[144],"show":[150],"domain":[152],"fine-tuning":[153],"integration":[156],"substantially":[157],"improve":[158],"reliability":[159],"over":[160],"baselines.":[162]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-16T00:00:00"}
