{"id":624,"date":"2024-01-18T16:39:28","date_gmt":"2024-01-18T15:39:28","guid":{"rendered":"https:\/\/wp.unil.ch\/hydmet\/?page_id=624"},"modified":"2024-02-02T13:43:45","modified_gmt":"2024-02-02T12:43:45","slug":"the-tenax-model","status":"publish","type":"page","link":"https:\/\/wp.unil.ch\/hydmet\/climate-rainfall-models\/the-tenax-model\/","title":{"rendered":"The TENAX model"},"content":{"rendered":"\n<p>The TEmperature-dependent Non-Asymptotic statistical model for eXtreme return levels (TENAX) is a parsimonious non-stationary and non-asymptotic theoretical framework that incorporates temperature as a covariate to estimate changes in precipitation return levels (IDF curves).<\/p>\n\n\n<div class=\"wp-block-image is-resized\">\n<figure class=\"aligncenter size-large\"><img alt=\"\" loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1014\" src=\"https:\/\/wp.unil.ch\/hydmet\/files\/2024\/01\/Fvalid-1024x1014.jpg\" alt=\"\" class=\"wp-image-625\" style=\"width:437px;height:auto\" title=\"\" srcset=\"https:\/\/wp.unil.ch\/hydmet\/files\/2024\/01\/Fvalid-1024x1014.jpg 1024w, https:\/\/wp.unil.ch\/hydmet\/files\/2024\/01\/Fvalid-300x297.jpg 300w, https:\/\/wp.unil.ch\/hydmet\/files\/2024\/01\/Fvalid-150x150.jpg 150w, https:\/\/wp.unil.ch\/hydmet\/files\/2024\/01\/Fvalid-768x760.jpg 768w, https:\/\/wp.unil.ch\/hydmet\/files\/2024\/01\/Fvalid.jpg 1212w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">An example of the TENAX application from Switzerland.<\/figcaption><\/figure>\n<\/div>\n\n\n<h4 class=\"wp-block-heading\">References<\/h4>\n\n\n\n<p>Marra, F., Koukoula, M., Canale, A., and Peleg, N., (2024) Predicting extreme sub-hourly precipitation intensification based on temperature shifts,<strong> <\/strong><em>Hydrology and Earth System Sciences<\/em>, 28, 375\u2013389.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Code<\/h4>\n\n\n\n<p>Marra, F., &amp; Peleg, N. (2023). TEmperature-dependent Non-Asymptotic statistical model for eXtreme return levels (TENAX) (version 1.1). Zenodo. <a href=\"https:\/\/doi.org\/10.5281\/zenodo.8345905\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.5281\/zenodo.8345905<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The TEmperature-dependent Non-Asymptotic statistical model for eXtreme return levels (TENAX) is a parsimonious non-stationary and non-asymptotic theoretical framework that incorporates temperature as a covariate to estimate changes in precipitation return &hellip; <\/p>\n","protected":false},"author":1002277,"featured_media":0,"parent":199,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_seopress_robots_primary_cat":"","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","footnotes":""},"class_list":["post-624","page","type-page","status-publish"],"_links":{"self":[{"href":"https:\/\/wp.unil.ch\/hydmet\/wp-json\/wp\/v2\/pages\/624","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.unil.ch\/hydmet\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.unil.ch\/hydmet\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/hydmet\/wp-json\/wp\/v2\/users\/1002277"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/hydmet\/wp-json\/wp\/v2\/comments?post=624"}],"version-history":[{"count":3,"href":"https:\/\/wp.unil.ch\/hydmet\/wp-json\/wp\/v2\/pages\/624\/revisions"}],"predecessor-version":[{"id":651,"href":"https:\/\/wp.unil.ch\/hydmet\/wp-json\/wp\/v2\/pages\/624\/revisions\/651"}],"up":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/hydmet\/wp-json\/wp\/v2\/pages\/199"}],"wp:attachment":[{"href":"https:\/\/wp.unil.ch\/hydmet\/wp-json\/wp\/v2\/media?parent=624"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}