date: 2024-04-24T14:01:02Z pdf:PDFVersion: 1.4 pdf:docinfo:title: Global, spatially explicit modelling of zenith wet delay with XGBoost xmp:CreatorTool: Springer access_permission:can_print_degraded: true subject: Journal of Geodesy, https://doi.org/10.1007/s00190-024-01829-2 pdfa:PDFVersion: A-2b xmpMM:History:Action: converted dc:format: application/pdf; version=1.4 pdf:docinfo:custom:robots: noindex pdf:docinfo:creator_tool: Springer access_permission:fill_in_form: true xmpMM:History:When: 2024-04-24T19:30:12Z pdf:encrypted: false dc:title: Global, spatially explicit modelling of zenith wet delay with XGBoost modified: 2024-04-24T14:01:02Z cp:subject: Journal of Geodesy, https://doi.org/10.1007/s00190-024-01829-2 xmpMM:History:SoftwareAgent: pdfToolbox pdf:docinfo:custom:CrossMarkDomains[1]: springer.com robots: noindex pdf:docinfo:subject: Journal of Geodesy, https://doi.org/10.1007/s00190-024-01829-2 xmpMM:History:InstanceID: uuid:a36487cd-c6a3-415e-af32-eb7568e0d795 pdf:docinfo:creator: Laura Crocetti meta:author: Matthias Schartner meta:creation-date: 2024-04-05T12:44:52Z pdf:docinfo:custom:CrossmarkMajorVersionDate: 2010-04-23 created: Fri Apr 05 14:44:52 CEST 2024 access_permission:extract_for_accessibility: true Creation-Date: 2024-04-05T12:44:52Z pdfaid:part: 2 pdf:docinfo:custom:CrossMarkDomains[2]: springerlink.com pdf:docinfo:custom:doi: 10.1007/s00190-024-01829-2 pdf:docinfo:custom:CrossmarkDomainExclusive: true Author: Matthias Schartner producer: Acrobat Distiller 10.1.8 (Windows) CrossmarkDomainExclusive: true pdf:docinfo:producer: Acrobat Distiller 10.1.8 (Windows) doi: 10.1007/s00190-024-01829-2 dc:description: Journal of Geodesy, https://doi.org/10.1007/s00190-024-01829-2 Keywords: Zenith wet delay (ZWD); Global predictions; XGBoost; Machine learning (ML); GNSS access_permission:modify_annotations: true dc:creator: Matthias Schartner description: Journal of Geodesy, https://doi.org/10.1007/s00190-024-01829-2 dcterms:created: 2024-04-05T12:44:52Z Last-Modified: 2024-04-24T14:01:02Z dcterms:modified: 2024-04-24T14:01:02Z title: Global, spatially explicit modelling of zenith wet delay with XGBoost xmpMM:DocumentID: uuid:eecd4dad-d2af-42aa-a41d-5c99295c5694 Last-Save-Date: 2024-04-24T14:01:02Z CrossMarkDomains[1]: springer.com pdf:docinfo:keywords: Zenith wet delay (ZWD); Global predictions; XGBoost; Machine learning (ML); GNSS pdf:docinfo:modified: 2024-04-24T14:01:02Z meta:save-date: 2024-04-24T14:01:02Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Matthias Schartner pdfaid:conformance: B dc:subject: Zenith wet delay (ZWD); Global predictions; XGBoost; Machine learning (ML); GNSS access_permission:assemble_document: true xmpTPg:NPages: 19 access_permission:extract_content: true access_permission:can_print: true CrossMarkDomains[2]: springerlink.com meta:keyword: Zenith wet delay (ZWD); Global predictions; XGBoost; Machine learning (ML); GNSS access_permission:can_modify: true pdf:docinfo:created: 2024-04-05T12:44:52Z CrossmarkMajorVersionDate: 2010-04-23