{"id":209,"date":"2021-12-27T13:44:49","date_gmt":"2021-12-27T13:44:49","guid":{"rendered":"https:\/\/dsrc.haifa.ac.il\/?p=209"},"modified":"2023-09-24T06:11:39","modified_gmt":"2023-09-24T06:11:39","slug":"data-science-brings-new-meaning-to-favourable-winds-in-antiquity","status":"publish","type":"post","link":"https:\/\/dsrc.haifa.ac.il\/?p=209","title":{"rendered":"Data Science Brings New Meaning to Favourable Winds in Antiquity &#8211; David. Gal"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"209\" class=\"elementor elementor-209\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-ba3f5fb elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ba3f5fb\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-fd8b3f2\" data-id=\"fd8b3f2\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bfc1b43 elementor-invisible elementor-widget elementor-widget-heading\" data-id=\"bfc1b43\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeInUp&quot;,&quot;_animation_mobile&quot;:&quot;fadeInUp&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Data Science Brings New Meaning to Favourable Winds in Antiquity\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-f0f4b8e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f0f4b8e\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8e8eb93\" data-id=\"8e8eb93\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1389bea elementor-invisible elementor-widget elementor-widget-heading\" data-id=\"1389bea\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeInUp&quot;,&quot;_animation_mobile&quot;:&quot;fadeInUp&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">David Gal - Department of Maritime Civilizations <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d423c5b elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"d423c5b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-6cae6608 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6cae6608\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2600f99\" data-id=\"2600f99\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-inner-section elementor-element elementor-element-6412c24 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6412c24\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-30a42bf\" data-id=\"30a42bf\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-24be24e elementor-widget elementor-widget-text-editor\" data-id=\"24be24e\" data-element_type=\"widget\" data-e-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\t\t<p><strong>\u00a0Machine Learning<br \/>Deep learning<br \/>Neural Networks<br \/><\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-a89d617\" data-id=\"a89d617\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ac60444 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"ac60444\" data-element_type=\"widget\" data-e-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\t\t<p><strong>Marine Science<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-b23cd76\" data-id=\"b23cd76\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7630bad elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"7630bad\" data-element_type=\"widget\" data-e-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\t\t<p><strong>Database Collection Grant 2021<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-251fb039 elementor-hidden-tablet elementor-hidden-mobile elementor-widget elementor-widget-text-editor\" data-id=\"251fb039\" data-element_type=\"widget\" data-e-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\t\t\n<p class=\"wp-block-paragraph\"><img fetchpriority=\"high\" decoding=\"async\" class=\" alignleft size-full wp-image-208\" style=\"margin-right: 10px; float: left;\" src=\"https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog35.png\" alt=\"blog35\" width=\"307\" height=\"226\" srcset=\"https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog35.png 896w, https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog35-300x221.png 300w, https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog35-768x567.png 768w\" sizes=\"(max-width: 307px) 100vw, 307px\" \/><\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>Mapping of potential sailing mobility in Antiquity has eluded researchers who have attempted to derive sailing abilities of ancient ships from averaged climatic wind data. A PhD study underway at the Department of Maritime Civilization has taken a different approach using Data Science methods.<\/p>\n<p>The underlying premise is that (a) the variabilities typical to Mediterranean winds are the key drivers of sailing mobility especially when a sailing passage lies contrary to prevailing winds; (b) these variabilities can be resolved in a large modern meteorological data set at high spatiotemporal resolution but are lost in averaged climatic data sets; and (c) palaeoclimatological examination has shown that the wind patterns in the Mediterranean have not changed in the last 3000 years and more.<\/p>\n<p>Sailing passages are reconstructed throughout the data set using regatta weather-routing software. This reduces the meteorological data, which is in the order of billions\u00a0 of records, to millions of sailing records. These are further reduced by statistical methods to obtain metrics of potential sailing mobility. Simulation is the primary DC methodology employed in this study. An additional planned application will be to use\u00a0 ML to examine whether the ancient mariners were able to predict the successful outcome of a sailing passage based on human observable weather parameters at the place and time of departure.<\/p>\n<p>We thank the DSRC for their seed funding which provided the research with the ability to build a meteorological reanalysis database at the very high resolutions needed to examine coastal breeze cycles.<\/p>\n<p><img decoding=\"async\" class=\" size-full wp-image-207\" src=\"https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog36.jpg\" alt=\"blog36\" width=\"602\" height=\"402\" srcset=\"https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog36.jpg 1435w, https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog36-300x200.jpg 300w, https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog36-1024x683.jpg 1024w, https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog36-768x512.jpg 768w\" sizes=\"(max-width: 602px) 100vw, 602px\" \/><\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-f2de048 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f2de048\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e6f90e4\" data-id=\"e6f90e4\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a63220c elementor-widget elementor-widget-spacer\" data-id=\"a63220c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\n<p class=\"wp-block-paragraph\"><img fetchpriority=\"high\" decoding=\"async\" class=\" alignleft size-full wp-image-208\" style=\"margin-right: 10px; float: left;\" src=\"https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog35.png\" alt=\"blog35\" width=\"307\" height=\"226\" srcset=\"https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog35.png 896w, https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog35-300x221.png 300w, https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog35-768x567.png 768w\" sizes=\"(max-width: 307px) 100vw, 307px\" \/><\/p>\n<p>Mapping of potential sailing mobility in Antiquity has eluded researchers who have attempted to derive sailing abilities of ancient ships from averaged climatic wind data. A PhD study underway at the Department of Maritime Civilization has taken a different approach using Data Science methods.<\/p>\n<p>The underlying premise is that (a) the variabilities typical to Mediterranean winds are the key drivers of sailing mobility especially when a sailing passage lies contrary to prevailing winds; (b) these variabilities can be resolved in a large modern meteorological data set at high spatiotemporal resolution but are lost in averaged climatic data sets; and (c) palaeoclimatological examination has shown that the wind patterns in the Mediterranean have not changed in the last 3000 years and more.<\/p>\n<p>Sailing passages are reconstructed throughout the data set using regatta weather-routing software. This reduces the meteorological data, which is in the order of billions\u00a0 of records, to millions of sailing records. These are further reduced by statistical methods to obtain metrics of potential sailing mobility. Simulation is the primary DC methodology employed in this study. An additional planned application will be to use\u00a0 ML to examine whether the ancient mariners were able to predict the successful outcome of a sailing passage based on human observable weather parameters at the place and time of departure.<\/p>\n<p>We thank the DSRC for their seed funding which provided the research with the ability to build a meteorological reanalysis database at the very high resolutions needed to examine coastal breeze cycles.<\/p>\n<p><img decoding=\"async\" class=\" size-full wp-image-207\" src=\"https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog36.jpg\" alt=\"blog36\" width=\"602\" height=\"402\" srcset=\"https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog36.jpg 1435w, https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog36-300x200.jpg 300w, https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog36-1024x683.jpg 1024w, https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog36-768x512.jpg 768w\" sizes=\"(max-width: 602px) 100vw, 602px\" \/><\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8e7c520 elementor-hidden-desktop elementor-widget elementor-widget-text-editor\" data-id=\"8e7c520\" data-element_type=\"widget\" data-e-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\t\t<!-- wp:paragraph -->\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\" alignleft size-full wp-image-208\" style=\"margin-right: 10px; float: left;\" src=\"https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog35.png\" alt=\"blog35\" width=\"307\" height=\"226\" srcset=\"https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog35.png 896w, https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog35-300x221.png 300w, https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog35-768x567.png 768w\" sizes=\"(max-width: 307px) 100vw, 307px\" \/><\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>Mapping of potential sailing mobility in Antiquity has eluded researchers who have attempted to derive sailing abilities of ancient ships from averaged climatic wind data. A PhD study underway at the Department of Maritime Civilization has taken a different approach using Data Science methods.<\/p>\n<p>The underlying premise is that (a) the variabilities typical to Mediterranean winds are the key drivers of sailing mobility especially when a sailing passage lies contrary to prevailing winds; (b) these variabilities can be resolved in a large modern meteorological data set at high spatiotemporal resolution but are lost in averaged climatic data sets; and (c) palaeoclimatological examination has shown that the wind patterns in the Mediterranean have not changed in the last 3000 years and more.<\/p>\n<p>Sailing passages are reconstructed throughout the data set using regatta weather-routing software. This reduces the meteorological data, which is in the order of billions\u00a0 of records, to millions of sailing records. These are further reduced by statistical methods to obtain metrics of potential sailing mobility. Simulation is the primary DC methodology employed in this study. An additional planned application will be to use\u00a0 ML to examine whether the ancient mariners were able to predict the successful outcome of a sailing passage based on human observable weather parameters at the place and time of departure.<\/p>\n<p>We thank the DSRC for their seed funding which provided the research with the ability to build a meteorological reanalysis database at the very high resolutions needed to examine coastal breeze cycles.<\/p>\n<p><img decoding=\"async\" class=\" size-full wp-image-207\" src=\"https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog36.jpg\" alt=\"blog36\" width=\"602\" height=\"402\" srcset=\"https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog36.jpg 1435w, https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog36-300x200.jpg 300w, https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog36-1024x683.jpg 1024w, https:\/\/dsrc.haifa.ac.il\/wp-content\/uploads\/2021\/12\/blog36-768x512.jpg 768w\" sizes=\"(max-width: 602px) 100vw, 602px\" \/><\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-f2de048 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f2de048\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e6f90e4\" data-id=\"e6f90e4\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a63220c elementor-widget elementor-widget-spacer\" data-id=\"a63220c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>David Gal<\/p>\n","protected":false},"author":2,"featured_media":207,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"_acf_changed":false,"_eb_attr":"","footnotes":""},"categories":[86,82,63,64,72,110,66,23],"tags":[56,34,58],"class_list":["post-209","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-86","category-database-collection","category-deep-learning","category-machine-learning","category-marine-science","category-maritime-civilizations","category-neural-networks","category-research-blog","tag-deep-learning","tag-machine-learning","tag-neural-networks","entry","has-media"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - aioseo.com -->\n\t<meta name=\"description\" content=\"David Gal\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"David. 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