I-AI ekubikezelweni kwesimo sezulu
Amamodeli wesimo sezulu we-AI afunda amaphethini omkhathi ngokuqondile kusukela emashumini eminyaka okubuka okwedlule, akhiqiza izibikezelo zezinsuku eziyi-10 ngamasekhondi aqhudelanayo noma ahlula amamodeli ekhompuyutha eyi-physics asuselwa ku-physics athathe amahora ukusebenza.
Uhlolojikelele
This is reshaping how meteorologists predict storms, heatwaves, and hurricanes.
I-Deep Dive
Iminyaka engu-70, ukubikezela isimo sezulu kwakusho ukuxazulula izilinganiso ze-fluid physics kumakhompyutha amakhulu amakhulu - inqubo ebizwa ngokuthi i-number weather prediction (NWP). I-AI iphenya le ndlela yokwenza: amamodeli afana ne-Google i-DeepMind's GraphCast, i-Huawei's Pangu-Weather, kanye ne-FourCastNet ye-NVIDIA aqeqeshwa kudathasethi yokuhlaziywa kabusha kwe-ERA5, cishe iminyaka engu-40 yesimo sezulu sezulu ngehora. Bafunda ubudlelwano bezibalo phakathi komkhathi wanamuhla nowakusasa, bese bebikezela ngokufanisa iphethini kunokulingisa i-physics. I-GraphCast ikhiqiza isibikezelo sezulu sezinsuku eziyi-10 ekulungisweni okungu-0.25-degree ngaphansi komzuzu ku-TPU eyodwa, uma kuqhathaniswa namahora eqoqo lekhompyutha enkulu. Ngo-2023, i-GraphCast yenza kahle kakhulu kunemodeli ye-ECMWF esezingeni legolide ezintweni eziningi eziguquguqukayo. I-European Center manje isinemodeli yayo yokusebenza ye-AI, i-AIFS.
I-Technical Insight
I-GraphCast imele imbulunga njengegrafu: i-multi-mesh yamanodi axhunywe esikalini esiningi, evumela ulwazi lusakaze kokubili endaweni kanye nakumabanga amade ngezinyathelo ezimbalwa. Inethiwekhi ye-neural yegrafu ingenisa isimo somkhathi samanje nesangaphambili, bese ibikezela isimo amahora angu-6 ngaphambili. Ukubikezela izinsuku eziyi-10, izondla okwayo ngokuphumayo ngokuzenzakalelayo, izikhathi ezingama-40. Ukuqeqeshwa kuthuthukisa iphutha elinesisindo kuwo wonke amaleveli okucindezela nokuguquguqukayo njengezinga lokushisa, umoya, nomswakamo.
I-Strategic Impact
Context and rules
Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso.
Ukulawulwa kwekhwalithi
Imikhawulo yesizinda ithonya izilinganiso zamaphutha ezamukelekayo namamodeli wokugada.
Yakha ukukhetha
Ukuthunyelwa okuphumelelayo kuqondanisa amandla obuchwepheshe nokugeleza komsebenzi okuphambili.
Ikusasa le-AI ekubikezelweni kwesimo sezulu
Ukubikezela kwe-AI kuyasuka ocwaningweni kuya emisebenzini yansuku zonke: I-ECMWF, i-UK Met Office, nezinye manje zisebenzisa amamodeli e-AI eceleni kwefiziksi. Imingcele elandelayo ihlanganisa ama-ensembles asuselwe ekusakazeni (i-GenCast) alinganisela ukungaqiniseki, amamodeli endawo esikali sekhilomitha, kanye 'namamodeli esisekelo' oMhlaba aphatha isimo sezulu, isimo sezulu, kanye nekhwalithi yomoya ndawonye. Amasistimu amaHybrid amatanisa isivinini se-AI nokwethembeka kwe-physics ekudluleleni okungavamile okungajwayelekile kungenzeka, njengoba amamodeli aqhutshwa idatha angakwazi ukubukela phansi izehlakalo ezingakaze zibonwe ngaphambili ezingekho kudatha yokuqeqeshwa.
Ukuqaliswa Komhlaba Wangempela
Google I-GraphCast ye-DeepMind ekhiqiza izibikezelo zomhlaba zezinsuku eziyi-10 ngaphansi kweminithi, esetshenziselwa ukumaka indlela yeziphepho kusasele izinsuku.
I-ECMWF isebenzisa imodeli yayo yokusebenza ye-AIFS ukuze igcwalise izibikezelo zayo ezingokwesiko ezisekelwe kwifiziksi yezinkonzo zesimo sezulu zaseYurophu.
I-FourCastNet ye-NVIDIA ikhiqiza ngokushesha ama-ensemble amakhulu ukulinganisa amathuba okuba nomsindo omkhulu nemicimbi yezulu
I-GenCast ikhiqiza izibikezelo zokuhlanganisa okungenzeka ezehlula i-ECMWF's ENS kumaphesenti angama-97 okuhlosiwe kwesimo sezulu esihloliwe, ukuthuthukisa ukuqondiswa komkhondo we-tropical cyclone
Izingozi & Guardrails
Izidingo zokulawula zingenza ama-prototypes aqine ngenye indlela.
Idatha yomlando ingase ihlanganise ukuchema okulimaza imiphakathi ethile.
Izinhlelo zefa zingakha izithiyo zokuhlanganisa kanye nezindleko ezifihliwe.
Ukuqalisa Umhlahlandlela
Bandakanya ochwepheshe besizinda kusukela ekufakeni inkinga kuye ekuhlolweni.
Dizayina izindlela zokuhlola kanye nemibhalo ngaphambi kokwethulwa.
Qinisekisa ukuthobela imithetho nokuphepha kusenesikhathi.
Khipha ngezigaba ngemibandela yokumisa ecacile neyokubuyisela emuva.
Qhubeka Uhlole
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Umhlahlandlela olandelayo
I-AI ekubikezelweni kwezikhukhula
Imibuzo evame ukubuzwa
What is AI in Weather Forecasting?
Amamodeli wesimo sezulu we-AI afunda amaphethini omkhathi ngokuqondile kusukela emashumini eminyaka okubuka okwedlule, akhiqiza izibikezelo zezinsuku eziyi-10 ngamasekhondi aqhudelanayo noma ahlula amamodeli ekhompuyutha eyi-physics asuselwa ku-physics athathe amahora ukusebenza. Lokhu kuhlela kabusha indlela izazi zezulu ezibikezela ngayo iziphepho, amagagasi okushisa, neziphepho.
Imaphi amamodeli wesimo sezulu se-AI ahamba phambili njenge-GraphCast aqeqeshelwa kuwo ngokuyinhloko?
I-GraphCast namamodeli afanayo aqeqeshwa ekuhlaziyweni kabusha kwe-ERA5 ye-ECMWF, okunikeza amashumi eminyaka edatha engaguquki yangehora yomhlaba wonke.
Ingabe imodeli ye-AI efana ne-GraphCast ihluke kanjani ekubikezelweni kwesimo sezulu sezinombolo zendabuko?
I-NWP ixazulula ngezinombolo izibalo ze-fluid-dynamics, kuyilapho i-AI imodeli yephethini-fanisa ubudlelwano obufundiwe kudatha yomlando.
Ingabe i-GraphCast ikhiqiza kanjani isibikezelo sezulu sezinsuku ezingu-10 kusukela kusinyathelo sokubikezela samahora angu-6?
I-GraphCast ibikezela amahora angu-6 ngaphambili, bese idlulisela lokho kubikezela njengokufaka, iphinda izikhathi ezingaba ngu-40 ukuze ifinyelele izinsuku ezingu-10.
Cishe ithatha isikhathi esingakanani i-GraphCast ukukhiqiza isibikezelo sezulu sezinsuku ezingu-10 ku-TPU eyodwa?
Inzuzo enkulu yokubikezela kwe-AI isivinini: I-GraphCast isebenza ngaphansi komzuzu uma iqhathaniswa namahora ekhompuyutha enkulu ye-NWP.
Uyini umkhawulo oyinhloko wamamodeli wesimo sezulu we-AI aqhutshwa yidatha?
Ngenxa yokuthi afunda kudatha yomlando, amamodeli e-AI angakwazi ukubhekana nemicimbi ephula amarekhodi engenaso isibonelo kusethi yawo yokuqeqeshwa.