{"id":10489,"date":"2025-12-10T15:57:36","date_gmt":"2025-12-10T14:57:36","guid":{"rendered":"https:\/\/www.hydrosciences.org\/?p=10489"},"modified":"2025-12-10T16:13:21","modified_gmt":"2025-12-10T15:13:21","slug":"hs-3-8-managing-and-processing-heterogeneous-and-imperfect-data-current-practices-and-challenges-in-hydrology-and-geosciences","status":"publish","type":"post","link":"https:\/\/www.hydrosciences.org\/?p=10489&lang=fr","title":{"rendered":"HS 3.8 Managing and Processing Heterogeneous and Imperfect Data: current practices and challenges in Hydrology and Geosciences\u00a0\u00bb"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"10489\" class=\"elementor elementor-10489\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7f340b4 e-flex e-con-boxed e-con e-parent\" data-id=\"7f340b4\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8d7f060 elementor-widget elementor-widget-text-editor\" data-id=\"8d7f060\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div>\u00a0<\/div><div>\u00a0<\/div><div>\u00a0<\/div><p>Dans le cadre de l&rsquo;assembl\u00e9e g\u00e9n\u00e9rale 2026 de l&rsquo;EGU, nous organisons une session sur le traitement et la gestion des donn\u00e9es multi-sources imparfaites en g\u00e9osciences. C&rsquo;est ouvert \u00e0 l&rsquo;ensemble des disciplines en g\u00e9osciences et nous acceptons aussi bien des contributions th\u00e9oriques que des applications\/\u00e9tudes de cas.<\/p><p><strong>La date limite pour l&rsquo;envoi des r\u00e9sum\u00e9s est le 15 janvier 2026.<\/strong><\/p><p><strong>La date limite pour la soumission d&rsquo;une bourse de voyage sp\u00e9cifique &lsquo;\u00e9tudiants\u00a0\u00bb est le 1er d\u00e9cembre 2026<\/strong>. D&rsquo;autres aides financi\u00e8res sont aussi disponibles et list\u00e9es sur le site web de la conf\u00e9rence.<\/p><p>Les frais d&rsquo;inscription sont supprim\u00e9s pour la participation virtuelle :<\/p><p>&#8211; des scientifiques ayant une affiliation permanente dans un pays \u00e0 revenu faible ou interm\u00e9diaire inf\u00e9rieur selon la d\u00e9finition de la Banque mondiale.<br \/>&#8211; des \u00e9tudiants de premier cycle et de master sur production d&rsquo;une preuve du statut d&rsquo;\u00e9tudiant.<\/p><p>Vous trouverez ci-dessous l&rsquo;appel \u00e0 contributions, accompagn\u00e9 d&rsquo;un lien pour soumettre le r\u00e9sum\u00e9. N&rsquo;h\u00e9sitez pas \u00e0 le partager avec vos coll\u00e8gues susceptibles d&rsquo;\u00eatre int\u00e9ress\u00e9s par cette probl\u00e9matique.<\/p><p>HS 3.8 Managing and Processing Heterogeneous and Imperfect Data: current practices and challenges in Hydrology and Geosciences<br \/>Co-organized by ESSI1\/GI2<br \/>Convener: Nanee Chahinian | Co-conveners: Franco Alberto Cardillo, Batoul Haydar, C\u00e9cile Gracianne, Franca Debole.<\/p><p>Data imperfection is a persistent and multi-faceted challenge in hydrology and more broadly in geosciences. Researchers and practitioners regularly work with datasets that are incomplete, imprecise, erroneous, heterogeneous, or redundant\u2014whether originating from in-situ measurements, remote sensing, modelling outputs, or participatory sources.<br \/>While traditional statistical methods have long been used to address these limitations, the growing complexity and diversity of hydrological and environmental data have created new demands\u2014and opportunities\u2014for innovation. Advances in artificial intelligence, data fusion, knowledge representation, and reasoning under uncertainty now allow for more robust integration and interpretation of heterogeneous information.<br \/>This session aims to gather contributions that explore how we can move from imperfect, fragmented data toward coherent and actionable hydrological and environmental knowledge. We welcome abstracts on:<\/p><p>\u2022 Applications and case studies in hydrology or other domains, addressing missing data imputation, model inversion, uncertainty propagation, or multi-source integration\u2014using time series, spatial data, imagery, videos, etc. The case studies may focus on hydrological and natural hazards (floods, droughts, earthquakes, landslides, marine submersion, etc..) or resources management (water supply, treatment, etc\u2026)<br \/>\u2022 Methodological developments in data fusion, completion, uncertainty quantification, and AI-based knowledge extraction from heterogeneous data.<br \/>\u2022 Cross-disciplinary approaches that connect geosciences, and specifically hydrological sciences, with AI, data mining, and knowledge systems, including citizen science, crowd-sourced data, or opportunistic sensing.<br \/>\u2022 Experimental contributions in hydrology and geosciences relying on AI, such as novel models and algorithms, explainable methods, and comparative studies on domain-specific datasets.<br \/>\u2022 Feedback from data integration initiatives into domain specific or cross disciplinary repositories.<\/p><p>We particularly encourage contributions that highlight novel practices or conceptual frameworks for dealing with imperfect and multi-source data in complex environmental systems.<\/p><p>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0<strong> Lien session<\/strong> : <a href=\"https:\/\/meetingorganizer.copernicus.org\/EGU26\/session\/57317\">ICI<\/a><\/p><p>\u00a0<\/p><p>\u00a0<\/p><p>\u00a0<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>\u00a0\u00a0\u00a0 Dans le cadre de l&rsquo;assembl\u00e9e g\u00e9n\u00e9rale 2026 de l&rsquo;EGU, nous organisons une session sur le traitement et la gestion des donn\u00e9es multi-sources imparfaites en g\u00e9osciences. C&rsquo;est ouvert \u00e0 l&rsquo;ensemble des disciplines en g\u00e9osciences et nous acceptons aussi bien des contributions th\u00e9oriques que des applications\/\u00e9tudes de cas. La date limite pour l&rsquo;envoi des r\u00e9sum\u00e9s est &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/www.hydrosciences.org\/?p=10489&#038;lang=fr\"> <span class=\"screen-reader-text\">HS 3.8 Managing and Processing Heterogeneous and Imperfect Data: current practices and challenges in Hydrology and Geosciences\u00a0\u00bb<\/span> Lire la suite \u00bb<\/a><\/p>\n","protected":false},"author":7,"featured_media":10506,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"","footnotes":""},"categories":[97,27,35,144,30,8],"tags":[],"class_list":["post-10489","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-actualite-scientifique-fr","category-toutes-les-actualites","category-alaune","category-publications-fr","category-annonces-de-seminaire-fr","category-uncategorized-fr"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>HS 3.8 Managing and Processing Heterogeneous and Imperfect Data: current practices and challenges in Hydrology and Geosciences&quot; - HydroSciences Montpellier<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.hydrosciences.org\/?p=10489&lang=fr\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"HS 3.8 Managing and Processing Heterogeneous and Imperfect Data: current practices and challenges in Hydrology and Geosciences&quot; - HydroSciences Montpellier\" \/>\n<meta property=\"og:description\" content=\"\u00a0\u00a0\u00a0 Dans le cadre de l&rsquo;assembl\u00e9e g\u00e9n\u00e9rale 2026 de l&rsquo;EGU, nous organisons une session sur le traitement et la gestion des donn\u00e9es multi-sources imparfaites en g\u00e9osciences. C&rsquo;est ouvert \u00e0 l&rsquo;ensemble des disciplines en g\u00e9osciences et nous acceptons aussi bien des contributions th\u00e9oriques que des applications\/\u00e9tudes de cas. La date limite pour l&rsquo;envoi des r\u00e9sum\u00e9s est &hellip; HS 3.8 Managing and Processing Heterogeneous and Imperfect Data: current practices and challenges in Hydrology and Geosciences\u00a0\u00bb Lire la suite \u00bb\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.hydrosciences.org\/?p=10489&amp;lang=fr\" \/>\n<meta property=\"og:site_name\" content=\"HydroSciences Montpellier\" \/>\n<meta property=\"article:published_time\" content=\"2025-12-10T14:57:36+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-12-10T15:13:21+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/www.hydrosciences.org\/wp-content\/uploads\/2025\/12\/pastille-EGU.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"500\" \/>\n\t<meta property=\"og:image:height\" content=\"500\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Catherine Marchand\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Catherine Marchand\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.hydrosciences.org\/?p=10489&lang=fr#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.hydrosciences.org\/?p=10489&lang=fr\"},\"author\":{\"name\":\"Catherine Marchand\",\"@id\":\"https:\/\/www.hydrosciences.org\/#\/schema\/person\/ed6ca84b79cdbece5a1bf0356c382a7e\"},\"headline\":\"HS 3.8 Managing and Processing Heterogeneous and Imperfect Data: current practices and challenges in Hydrology and Geosciences\u00a0\u00bb\",\"datePublished\":\"2025-12-10T14:57:36+00:00\",\"dateModified\":\"2025-12-10T15:13:21+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.hydrosciences.org\/?p=10489&lang=fr\"},\"wordCount\":519,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.hydrosciences.org\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.hydrosciences.org\/?p=10489&lang=fr#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.hydrosciences.org\/wp-content\/uploads\/2025\/12\/pastille-EGU.jpg\",\"articleSection\":[\"Actu scientifique\",\"Actualit\u00e9s\",\"ALaUne\",\"PUBLICATIONS\",\"S\u00e9minaires\",\"Uncategorized\"],\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.hydrosciences.org\/?p=10489&lang=fr#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.hydrosciences.org\/?p=10489&lang=fr\",\"url\":\"https:\/\/www.hydrosciences.org\/?p=10489&lang=fr\",\"name\":\"HS 3.8 Managing and Processing Heterogeneous and Imperfect Data: current practices and challenges in Hydrology and Geosciences\\\" - 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