{"id":3098,"date":"2023-11-14T09:25:00","date_gmt":"2023-11-14T08:25:00","guid":{"rendered":"https:\/\/frogcast.com\/?p=3098"},"modified":"2026-01-27T11:31:27","modified_gmt":"2026-01-27T10:31:27","slug":"modele-wrf-des-previsions-meteorologiques-sur-mesure-a-haute-resolution","status":"publish","type":"post","link":"https:\/\/frogcast.com\/fr\/blog\/technology\/wrf-model-tailored-high-resolution-weather-forecasting\/","title":{"rendered":"Mod\u00e8le WRF : des pr\u00e9visions m\u00e9t\u00e9o haute r\u00e9solution sur mesure"},"content":{"rendered":"<h2 class=\"wp-block-heading\">Introduction : les mod\u00e8les m\u00e9t\u00e9orologiques r\u00e9gionaux<\/h2>\n\n\n\n<p>L\u2019atmosph\u00e8re est infiniment complexe. Des ph\u00e9nom\u00e8nes m\u00e9t\u00e9orologiques de dimensions spatiales allant de l\u2019\u00e9chelle plan\u00e9taire (ex : <a href=\"https:\/\/wikipedia.org\/wiki\/El_Ni%C3%B1o\"><strong>El Ni\u00f1o<\/strong><\/a>, zone de convergence inter-tropicale) \u00e0 l\u2019\u00e9chelle microscopique (condensation, \u00e9changes de chaleur) en passant par la m\u00e9so-\u00e9chelle (syst\u00e8mes orageux complexe) et l\u2019\u00e9chelle synoptique (perturbation barocline) s'y entrem\u00ealent et interagissent.<br><br>Afin de pr\u00e9voir son \u00e9volution, nous utilisons des <strong><a href=\"https:\/\/frogcast.com\/fr\/blog\/meteorologie\/how-are-weather-forecasts-generated\/\" target=\"_blank\" rel=\"noreferrer noopener\">mod\u00e8les num\u00e9riques de pr\u00e9vision<\/a><\/strong> du temps. La r\u00e9solution des mod\u00e8les d\u00e9termine les dimensions spatio-temporelles minimales des ph\u00e9nom\u00e8nes qui peuvent \u00eatre simul\u00e9s. Les mod\u00e8les dits globaux proposent une pr\u00e9vision sur l\u2019ensemble de la plan\u00e8te, mais leur r\u00e9solution ne d\u00e9passe pas les 10km. Il leur est donc impossible de mod\u00e9liser des ph\u00e9nom\u00e8nes de dimensions inf\u00e9rieures telles que les cellules orageuses isol\u00e9es ou des brouillards locaux.<br><br>En revanche, il existe \u00e9galement des mod\u00e8les r\u00e9gionaux qui, comme leur nom l\u2019indique, simulent l\u2019\u00e9volution de l'atmosph\u00e8re sur un domaine limit\u00e9. Leur r\u00e9solution peut \u00eatre abaiss\u00e9e autour du kilom\u00e8tre, voire un peu moins. Certains grands centres m\u00e9t\u00e9orologiques mondiaux poss\u00e8dent ce type de mod\u00e8le sur leurs r\u00e9gions d'int\u00e9r\u00eat. On peut citer par exemple le <strong><a href=\"https:\/\/meteofrance.com\/actualites-et-dossiers\/modeles-prevision-meteo#:~:text=AROME%20est%20un%20mod%C3%A8le%20affin%C3%A9,les%20Antilles%20et%20la%20Guyane.\" target=\"_blank\" rel=\"noreferrer noopener\">mod\u00e8le AROME<\/a> <\/strong>\u00e0 1,3 ou 2,5km d\u00e9ploy\u00e9 en France m\u00e9tropolitaine et sur une partie des DOM-TOM par M\u00e9t\u00e9o France, le <a href=\"https:\/\/www.dwd.de\/EN\/ourservices\/nwp_forecast_data\/nwp_forecast_data.html\"><strong>mod\u00e8le ICON D2<\/strong><\/a> fournissant des pr\u00e9visions \u00e0 2km de r\u00e9solution sur l\u2019Allemagne ou le <a href=\"https:\/\/repository.library.noaa.gov\/view\/noaa\/53029#:~:text=Description%3A-,The%20High%2DResolution%20Rapid%20Refresh%20(HRRR)%20is%20a%20convection,the%20NOAA%2FNational%20Centers%20for\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>mod\u00e8le HRRR<\/strong><\/a> \u00e0 3km d\u00e9velopp\u00e9 par la NOAA aux Etats Unis.<br><br>Malgr\u00e9 leur apport incontestable pour la mod\u00e9lisation m\u00e9t\u00e9orologique \u00e0 fine \u00e9chelle (Figure 1), mettre en place et maintenir de telles simulations atmosph\u00e9riques reste lourd et tr\u00e8s co\u00fbteux. C\u2019est pourquoi les mod\u00e8les \u00e0 haute r\u00e9solution sont relativement peu nombreux et ne couvrent que des domaines limit\u00e9s du globe.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:5%\"><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:90%\">\n<figure class=\"wp-block-image size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"653\" height=\"300\" src=\"https:\/\/frogcast.com\/wp-content\/uploads\/2025\/12\/wrf-1-e1765374774904.webp\" alt=\"Comparaison c\u00f4te \u00e0 c\u00f4te des cartes thermiques du rayonnement solaire \u00e0 trois r\u00e9solutions spatiales diff\u00e9rentes (9 km, 3 km et 1 km), montrant un niveau de d\u00e9tail nettement sup\u00e9rieur dans le mod\u00e8le WRF de 1 km.\" class=\"wp-image-3099\" srcset=\"https:\/\/frogcast.com\/wp-content\/uploads\/2025\/12\/wrf-1-e1765374774904.webp 653w, https:\/\/frogcast.com\/wp-content\/uploads\/2025\/12\/wrf-1-e1765374774904-300x138.webp 300w, https:\/\/frogcast.com\/wp-content\/uploads\/2025\/12\/wrf-1-e1765374774904-18x8.webp 18w\" sizes=\"(max-width: 653px) 100vw, 653px\" \/><figcaption class=\"wp-element-caption\">Figure 1 \u2013 La pr\u00e9cision r\u00e9side dans les pixels. La comparaison de grilles de 9 km, 3 km et 1 km montre comment la mod\u00e9lisation WRF haute r\u00e9solution capture la variabilit\u00e9 solaire locale que les mod\u00e8les plus grossiers ne parviennent pas \u00e0 saisir.<\/figcaption><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:5%\"><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Le mod\u00e8le WRF<\/h2>\n\n\n\n<p>Le Weather Research and Forecasting (<a href=\"https:\/\/www.cmcc.it\/models\/wrf#:~:text=WRF%20(Weather%20Research%20and%20Forecasting,relies%20on%20two%20dynamical%20cores%3A\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>WRF<\/strong><\/a>, que l'on pourrait traduire par Recherche et pr\u00e9vision m\u00e9t\u00e9orologiques) est un mod\u00e8le d\u00e9velopp\u00e9 en partenariat entre le National Oceanic and Atmospheric Administration (NOAA) des Etats-Unis, le National Center for Atmospheric Research (NCAR), et plus de 150 centres de recherches universitaires en m\u00e9t\u00e9orologie \u00e0 travers le monde. Il est ainsi largement utilis\u00e9 \u00e0 la fois pour des applications de recherche et par l\u2019industrie.<br><br>Nos m\u00e9t\u00e9orologues peuvent configurer et d\u00e9ployer le mod\u00e8le sur n\u2019importe quelle r\u00e9gion du globe en fonction des sp\u00e9cificit\u00e9s climatiques, mettre en place des simulations \u00e0 la r\u00e9solution spatiale souhait\u00e9e et calibrer la physique du mod\u00e8le afin d\u2019optimiser la qualit\u00e9 des pr\u00e9visions.<br><br>En particulier, ils peuvent  agir sur ce qu\u2019on appelle les param\u00e9trisations physiques, qui pilotent plusieurs classes de ph\u00e9nom\u00e8nes de tr\u00e8s petites \u00e9chelles impossibles \u00e0 capturer explicitement par le mod\u00e8le.  Comme illustr\u00e9 sur la Figure 2, elles se classent en plusieurs cat\u00e9gories : les param\u00e9trisations li\u00e9es au rayonnement (solaire &amp; terrestres), \u00e0 la convection, \u00e0 la microphysique, \u00e0 la couche limite et \u00e0 la chimie atmosph\u00e9rique. \u00c0 chaque r\u00e9gion et ses sp\u00e9cificit\u00e9s m\u00e9t\u00e9orologiques correspond un set optimal de param\u00e9trisations.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1000\" height=\"625\" src=\"https:\/\/frogcast.com\/wp-content\/uploads\/2025\/12\/weather-research-and-forecasting-frogcast1.webp\" alt=\"Sch\u00e9ma technique illustrant les param\u00e9trisations physiques du mod\u00e8le WRF, notamment le rayonnement \u00e0 ondes longues\/courtes, la microphysique des nuages, la diffusion turbulente et les flux de surface.\" class=\"wp-image-3100\" srcset=\"https:\/\/frogcast.com\/wp-content\/uploads\/2025\/12\/weather-research-and-forecasting-frogcast1.webp 1000w, https:\/\/frogcast.com\/wp-content\/uploads\/2025\/12\/weather-research-and-forecasting-frogcast1-300x188.webp 300w, https:\/\/frogcast.com\/wp-content\/uploads\/2025\/12\/weather-research-and-forecasting-frogcast1-768x480.webp 768w, https:\/\/frogcast.com\/wp-content\/uploads\/2025\/12\/weather-research-and-forecasting-frogcast1-18x12.webp 18w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><figcaption class=\"wp-element-caption\">Figure 2 \u2013 Configuration des param\u00e8tres physiques. La force de WRF r\u00e9side dans sa flexibilit\u00e9. Nos m\u00e9t\u00e9orologues ajustent avec pr\u00e9cision ces param\u00e9trisations physiques (convection, rayonnement, couche limite plan\u00e9taire) afin de correspondre au climat sp\u00e9cifique de votre r\u00e9gion cible.<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Le mod\u00e8le WRF chez FROGCAST : application \u00e0 la Polyn\u00e9sie Fran\u00e7aise<\/h2>\n\n\n\n<p>Chez FROGCAST, le mod\u00e8le WRF a \u00e9t\u00e9 d\u00e9ploy\u00e9 et fournit des pr\u00e9visions op\u00e9rationnelles sur plusieurs zones, notamment en r\u00e9gions insulaires. Ses pr\u00e9visions viennent enrichir le mix multi-mod\u00e8les utilis\u00e9 par d\u00e9faut.<br><br>Nous proposons d\u2019illustrer ici l\u2019apport des simulations WRF sur l\u2019archipel de Tahiti o\u00f9 ce mod\u00e8le fournit des pr\u00e9visions de rayonnement solaire et de temp\u00e9rature depuis plus de 5 ans. Situ\u00e9e en zone tropicale et isol\u00e9e au milieu du Pacifique, cette \u00eele est caract\u00e9ris\u00e9e par un climat humide et chaud tout au long de l\u2019ann\u00e9e. La saison des pluies s\u2019\u00e9tend de novembre \u00e0 avril avec des passages orageux r\u00e9guliers et souvent intenses. La plus grande difficult\u00e9 consiste \u00e0 pr\u00e9voir le d\u00e9clenchement, le d\u00e9veloppement et l\u2019ampleur de la convection qui entra\u00eene une variabilit\u00e9 importante des conditions m\u00e9t\u00e9orologiques. La topographie de l'\u00eele joue aussi un r\u00f4le important dans les d\u00e9veloppements nuageux diurnes et en interagissant avec les aliz\u00e9es.<br><br>L\u2019exemple ci-dessus pr\u00e9sente les simulations de rayonnement solaire issue du mod\u00e8le WRF pour trois journ\u00e9es soumises \u00e0 des conditions m\u00e9t\u00e9orologiques biendiff\u00e9rentes. Elles sont compar\u00e9es aux images satellites aux m\u00eames instants. La premi\u00e8re journ\u00e9e est caract\u00e9ris\u00e9e par des d\u00e9veloppements nuageux sur le relief par \u00e9volution durnes finissant par d\u00e9border sur le littoral. WRF capture parfaitement cet effet topographique dans sa simulation. Dans le deuxi\u00e8me cas, une masse nuageuse compacte recouvre l\u2019ensemble de la r\u00e9gion. On remarque quelques rares \u00e9claircies au nord et au sud-ouest de l\u2019archipel. L\u00e0 aussi, les pr\u00e9visions sont en accord avec la situation. Enfin, sur notre 3\u1d49 exemple, deux couches nuageuses coexistent avec quelques cumulus isol\u00e9s surplomb\u00e9s par un voile nuageux \u00e0 haute altitude. Ces deux \u00e9l\u00e9ments se retrouvent dans la simulation WRF et prouvent encore une fois sa capacit\u00e9 \u00e0 mod\u00e9liser des ph\u00e9nom\u00e8nes atmosph\u00e9riques divers en termes de processus physiques ou d\u2019\u00e9chelles spatio-temporelles.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"837\" height=\"572\" src=\"https:\/\/frogcast.com\/wp-content\/uploads\/2025\/12\/wrf-tahiti.webp\" alt=\"Comparaison de validation montrant les pr\u00e9visions de rayonnement solaire FROGCAST WRF (rang\u00e9e du haut) align\u00e9es avec l&#039;imagerie satellitaire r\u00e9elle des nuages \u200b\u200b(rang\u00e9e du bas) au-dessus de l&#039;\u00eele de Tahiti.\" class=\"wp-image-3101\" srcset=\"https:\/\/frogcast.com\/wp-content\/uploads\/2025\/12\/wrf-tahiti.webp 837w, https:\/\/frogcast.com\/wp-content\/uploads\/2025\/12\/wrf-tahiti-300x205.webp 300w, https:\/\/frogcast.com\/wp-content\/uploads\/2025\/12\/wrf-tahiti-768x525.webp 768w, https:\/\/frogcast.com\/wp-content\/uploads\/2025\/12\/wrf-tahiti-18x12.webp 18w\" sizes=\"(max-width: 837px) 100vw, 837px\" \/><figcaption class=\"wp-element-caption\">Figure 3 \u2013 Validation de la r\u00e9alit\u00e9 en terrain complexe. Une \u00e9tude de cas en Polyn\u00e9sie fran\u00e7aise illustrant la pr\u00e9cision avec laquelle notre configuration WRF pr\u00e9dit la formation des nuages \u200b\u200bet les effets insulaires, par rapport aux observations satellitaires en temps r\u00e9el.<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">En quelques lignes : WRF et vous<\/h2>\n\n\n\n<p>Le mod\u00e8le WRF peut r\u00e9pondre \u00e0 un besoin en pr\u00e9vision \u00e0 fine \u00e9chelle pour des \u00e9ch\u00e9ances allant jusqu\u2019\u00e0 48h. Il peut particuli\u00e8rement apporter une plus-value dans les zones o\u00f9 aucun autre mod\u00e8le \u00e0 haute r\u00e9solution n\u2019est disponible.<br><br>Notre \u00e9quipe de m\u00e9t\u00e9orologue est en mesure de d\u00e9finir et d\u00e9ployer la configuration optimale du mod\u00e8le pour votre zone et vos param\u00e8tres m\u00e9t\u00e9orologiques d'int\u00e9r\u00eats, garantissant ainsi des performances optimales. Notre expertise en mod\u00e9lisation nous permet d\u2019adapter notre proposition \u00e0 vos sp\u00e9cificit\u00e9s op\u00e9rationnelles en g\u00e9n\u00e9rant, par exemple, <a href=\"https:\/\/frogcast.com\/fr\/intervalles-de-confiance\/\">des pr\u00e9visions d\u2019ensemble<\/a> (multi-param\u00e9trisation ou multi-for\u00e7age) ou en prenant en compte des ph\u00e9nom\u00e8nes annexes tels que l\u2019impact des a\u00e9rosols atmosph\u00e9riques.<br><br>N\u2019attendez plus, contactez-nous, pour d\u00e9couvrir les capacit\u00e9s du mod\u00e8le WRF !<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"700\" height=\"500\" src=\"https:\/\/frogcast.com\/wp-content\/uploads\/2023\/11\/wrf-2.gif\" alt=\"Carte de simulation WRF haute r\u00e9solution de 1 km affichant l&#039;intensit\u00e9 du rayonnement solaire (couleurs) et les vecteurs du champ de vent (fl\u00e8ches) autour de l&#039;\u00eele de Tenerife.\" class=\"wp-image-3104\"\/><figcaption class=\"wp-element-caption\">Figure 4 \u2013 Capture des microclimats. Les mod\u00e8les standards sont inadapt\u00e9s aux topographies complexes. Cette simulation de Tenerife \u00e0 une r\u00e9solution de 1 km r\u00e9v\u00e8le l\u2019interaction pr\u00e9cise entre les champs de vent et le relief de l\u2019\u00eele.<\/figcaption><\/figure>","protected":false},"excerpt":{"rendered":"<p>D\u00e9couvrez comment les mod\u00e8les m\u00e9t\u00e9o r\u00e9gionaux comme WRF fournissent des pr\u00e9visions pr\u00e9cises et \u00e0 haute r\u00e9solution pour am\u00e9liorer les pr\u00e9visions m\u00e9t\u00e9o des climats locaux complexes dans le monde entier.<\/p>","protected":false},"author":2,"featured_media":143,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[27],"tags":[],"class_list":["post-3098","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>WRF Model: 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