{"id":52039,"date":"2026-09-05T18:25:16","date_gmt":"2026-09-05T18:25:16","guid":{"rendered":"https:\/\/cp.snarskis.lt\/index.php\/2026\/09\/05\/pamirskite-iprastas-prognozes-google-pristate-di-modeli-kuris-ora-atnaujins-kas-valanda\/"},"modified":"2026-09-05T18:25:16","modified_gmt":"2026-09-05T18:25:16","slug":"pamirskite-iprastas-prognozes-google-pristate-di-modeli-kuris-ora-atnaujins-kas-valanda","status":"publish","type":"post","link":"https:\/\/cp.snarskis.lt\/index.php\/2026\/09\/05\/pamirskite-iprastas-prognozes-google-pristate-di-modeli-kuris-ora-atnaujins-kas-valanda\/","title":{"rendered":"Pamir\u0161kite \u012fprastas prognozes: \u201eGoogle\u201c pristat\u0117 DI model\u012f, kuris or\u0105 atnaujins kas valand\u0105"},"content":{"rendered":"

Prognoz\u0117 kas valand\u0105<\/h2>\n

\u201eGoogle\u201c pristat\u0117 nauj\u0105 or\u0173 prognozavimo model\u012f \u201eWeatherNext 3\u201c, paremt\u0105 dirbtiniu intelektu. Bendrov\u0117 teigia, kad sistema gali atnaujinti prognozes kas valand\u0105 ir pateikti detalesn\u012f vaizd\u0105 ma\u017eesniuose plotuose.<\/p>\n

Skirtingai nei dalis ankstesni\u0173 sprendim\u0173, kurie mokosi i\u0161 klasikini\u0173 skaitini\u0173 or\u0173 modeli\u0173 i\u0161vesties, \u201eWeatherNext 3\u201c labiau remiasi tiesiogin\u0117mis steb\u0117senomis. Tai svarbu tod\u0117l, kad tradiciniuose modeliuose dalis duomen\u0173 \u012f prognoz\u0119 gali patekti su keli\u0173 valand\u0173 v\u0117lavimu.<\/p>\n

I\u0161 kur gaunami duomenys<\/h2>\n

\u201eGoogle\u201c nurodo, kad modelis naudoja aktualius geostacionari\u0173 palydov\u0173 steb\u0117jimus ir meteorologini\u0173 sto\u010di\u0173 duomenis. Tokia kombinacija tur\u0117t\u0173 pad\u0117ti geriau fiksuoti vietinius skirtumus, kurie lemia, pavyzd\u017eiui, staigius temperat\u016bros ar v\u0117jo poky\u010dius.<\/p>\n

Bendrov\u0117 akcentuoja ir didesn\u0119 erdvin\u0119 skiriam\u0105j\u0105 geb\u0105: temperat\u016bra bei dr\u0117gm\u0117 prognozuojamos 5 kilometr\u0173 tinklelyje, o dalis atmosferos lauk\u0173 skai\u010diuojama stambesniu, 25 kilometr\u0173 masteliu. Teigiama, kad erdvinis tikslumas taip padid\u0117ja kelis kartus.<\/p>\n

Did\u017eiausia problema \u2013 krituliai<\/h2>\n

Net ir tobul\u0117jant modeliams, krituliai i\u0161lieka vienu sud\u0117tingiausi\u0173 u\u017edavini\u0173. Lietus ir sniegas priklauso nuo labai smulki\u0173 masteli\u0173 proces\u0173, tod\u0117l prognoz\u0117se da\u017enai \u201ei\u0161sitrina\u201c krituli\u0173 ribos arba netiksliai nustatoma stiprios li\u016bties ar perk\u016bnijos zona.<\/p>\n

\u201eGoogle\u201c skelbia, kad \u201eWeatherNext 3\u201c apmokytas naudojant NASA palydovinius krituli\u0173 duomenis ir \u012fmon\u0117s parengt\u0105 globali\u0105 krituli\u0173 analiz\u0119. Pasak bendrov\u0117s bandym\u0173, tai pagerino krituli\u0173 prognozavimo rezultatus, o prognozuojant bent vienai dienai \u012f priek\u012f tikslumas kai kuriais atvejais gali b\u016bti iki 50 proc. didesnis.<\/p>\n

Kur jis bus naudojamas<\/h2>\n

\u201eWeatherNext 3\u201c numatoma integruoti \u012f \u201eGoogle\u201c paie\u0161k\u0105, \u201eGemini\u201c, \u201eGoogle Maps\u201c ir \u201eGoogle Earth Engine\u201c. Tai rei\u0161kia, kad DI generuojamos prognoz\u0117s gali tapti viena i\u0161 informacijos bazi\u0173 tiek kasdieniams vartotojams, tiek duomen\u0173 analitikams ar verslams.<\/p>\n

Modelis taip pat orientuojamas \u012f energetikos poreikius: gali b\u016bti prognozuojamas v\u0117jas turbin\u0173 auk\u0161tyje, debesuotumas ir saul\u0117s spinduliuot\u0117. Tokie duomenys padeda tiksliau planuoti v\u0117jo ir saul\u0117s elektrini\u0173 gamyb\u0105 bei ma\u017einti disbalanso ka\u0161tus elektros sistemoje.<\/p>\n

\u201eGoogle\u201c pabr\u0117\u017eia, kad net pa\u017eang\u016bs DI modeliai nepanaikina fundamentalaus atmosferos neapibr\u0117\u017etumo. Esant pavojingiems rei\u0161kiniams gyventojams ir toliau rekomenduojama vadovautis oficialiais nacionalini\u0173 meteorologijos tarnyb\u0173 \u012fsp\u0117jimais.<\/p>\n","protected":false},"excerpt":{"rendered":"

\u201eGoogle\u201c pristat\u0117 DI model\u012f \u201eWeatherNext 3\u201c, kuris prognozes atnaujina kas valand\u0105 ir siekia tiksliau numatyti kritulius bei energijai svarbius rodiklius.<\/p>\n","protected":false},"author":0,"featured_media":52040,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[7],"tags":[516,102,146,2177,3907,40233,40232],"miestas":[],"class_list":["post-52039","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technologijos","tag-atsinaujinanti-energetika","tag-dirbtinis-intelektas","tag-google","tag-krituliai","tag-oru-prognozes","tag-palydovu-duomenys","tag-weathernext-3"],"acf":[],"_links":{"self":[{"href":"https:\/\/cp.snarskis.lt\/index.php\/wp-json\/wp\/v2\/posts\/52039","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cp.snarskis.lt\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cp.snarskis.lt\/index.php\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/cp.snarskis.lt\/index.php\/wp-json\/wp\/v2\/comments?post=52039"}],"version-history":[{"count":0,"href":"https:\/\/cp.snarskis.lt\/index.php\/wp-json\/wp\/v2\/posts\/52039\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cp.snarskis.lt\/index.php\/wp-json\/wp\/v2\/media\/52040"}],"wp:attachment":[{"href":"https:\/\/cp.snarskis.lt\/index.php\/wp-json\/wp\/v2\/media?parent=52039"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cp.snarskis.lt\/index.php\/wp-json\/wp\/v2\/categories?post=52039"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cp.snarskis.lt\/index.php\/wp-json\/wp\/v2\/tags?post=52039"},{"taxonomy":"miestas","embeddable":true,"href":"https:\/\/cp.snarskis.lt\/index.php\/wp-json\/wp\/v2\/miestas?post=52039"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}