date: 2020-08-26T11:17:40Z pdf:PDFVersion: 1.4 pdf:docinfo:title: Potential for Early Forecast of Moroccan Wheat Yields Based on Climatic Drivers xmp:CreatorTool: Arbortext Advanced Print Publisher 9.1.440/W Unicode access_permission:can_print_degraded: true subject: Geophysical Research Letters 2020.47:e2020GL087516 dc:format: application/pdf; version=1.4 pdf:docinfo:creator_tool: Arbortext Advanced Print Publisher 9.1.440/W Unicode access_permission:fill_in_form: true pdf:encrypted: false dc:title: Potential for Early Forecast of Moroccan Wheat Yields Based on Climatic Drivers WPS-PROCLEVEL: 3 modified: 2020-08-26T11:17:40Z cp:subject: Geophysical Research Letters 2020.47:e2020GL087516 pdf:docinfo:custom:WPS-ARTICLEDOI: 10.1029/2020GL087516 pdf:docinfo:subject: Geophysical Research Letters 2020.47:e2020GL087516 pdf:docinfo:creator: J. Lehmann, M. Kretschmer, B. Schauberger, F. Wechsung meta:author: J. Lehmann, M. Kretschmer, B. Schauberger, F. Wechsung meta:creation-date: 2020-06-13T05:31:54Z created: Sat Jun 13 07:31:54 CEST 2020 pdf:docinfo:custom:Words: 4145 access_permission:extract_for_accessibility: true Creation-Date: 2020-06-13T05:31:54Z Author: J. Lehmann, M. Kretschmer, B. Schauberger, F. Wechsung producer: Acrobat Distiller 10.0.0 (Windows); modified using iText 4.2.0 by 1T3XT pdf:docinfo:producer: Acrobat Distiller 10.0.0 (Windows); modified using iText 4.2.0 by 1T3XT pdf:docinfo:custom:Figures: 4 Keywords: 10.1029/2020GL087516 and causal discovery algorithms; teleconnections; seasonal forecast; machine learning; wheat forecast; climate precursors access_permission:modify_annotations: true WPS-ARTICLEDOI: 10.1029/2020GL087516 dc:creator: J. Lehmann, M. Kretschmer, B. Schauberger, F. Wechsung dcterms:created: 2020-06-13T05:31:54Z Last-Modified: 2020-08-26T11:17:40Z dcterms:modified: 2020-08-26T11:17:40Z title: Potential for Early Forecast of Moroccan Wheat Yields Based on Climatic Drivers Last-Save-Date: 2020-08-26T11:17:40Z pdf:docinfo:keywords: 10.1029/2020GL087516 and causal discovery algorithms; teleconnections; seasonal forecast; machine learning; wheat forecast; climate precursors pdf:docinfo:modified: 2020-08-26T11:17:40Z meta:save-date: 2020-08-26T11:17:40Z Tables: 0 Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: J. Lehmann, M. Kretschmer, B. Schauberger, F. Wechsung dc:subject: 10.1029/2020GL087516 and causal discovery algorithms; teleconnections; seasonal forecast; machine learning; wheat forecast; climate precursors pdf:docinfo:custom:WPS-JOURNALDOI: 10.1002/(ISSN)1944-8007 access_permission:assemble_document: true xmpTPg:NPages: 10 access_permission:extract_content: true Figures: 4 access_permission:can_print: true pdf:docinfo:custom:Tables: 0 WPS-JOURNALDOI: 10.1002/(ISSN)1944-8007 pdf:docinfo:custom:WPS-PROCLEVEL: 3 Words: 4145 meta:keyword: 10.1029/2020GL087516 and causal discovery algorithms; teleconnections; seasonal forecast; machine learning; wheat forecast; climate precursors access_permission:can_modify: true pdf:docinfo:created: 2020-06-13T05:31:54Z