Top Tweets for #UnifiedModel
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🧠 Unified model: GPT‑5 blends the reasoning strengths of the o-series with the responsiveness of the GPT-series into a single “unified” model.
Provides hyper-accurate, real-time answers via a smart routing system.
#NextGenAI #UnifiedModel
Unified Talent Model: The Future of Job Performance
#JobPerformance #UnifiedModel #TalentManagement #RecruitmentStrategies #CareerDevelopment #AIInRecruitment #ProfessionalSkills #WorkforceOptimization #ConsultingExcellence #TechTalent
Been playing with #Pyvista/#Geovista doing some data #visualization. WIP, but you can see cloud fraction shown in blue. Data using the @MetOffice_Sci #UnifiedModel. You can play with the plot yourself here: https://t.co/UcZr94H2xK
Interested in the #UnifiedModel, land use and precipitation changes? Head over to poster X5.1 now and chat to @BassettRJ @EGU_Atmos @EuroGeosciences #EGU23

My first academic paper & the first application of the #UnifiedModel by @MetOffice_Sci to #Mars has just been published in @EGU_GMD! Massive thanks to the other coauthors (@meteodenny & @exoclimatology) for helping to make McCulloch et al. a reality!
https://t.co/2G2m6Wcy9s
"We know that our universe is a black hole. The equations show it. Our universe has the exact mass and radius of a black hole". Nassim Haramein
#universe #cosmology #blackhole #equations #mass #radius #haramein #rsf #unifiedmodel #physics #science
Super happy that my first first-author paper (alongside @meteodenny)- about adapting the @MetOffice_Sci #UnifiedModel to #Mars - is in the discussion stage! Have a look below!
Discussion open for comments on @EgUsphere: A modern-day Mars climate in the Met Office Unified Model: dry simulations https://t.co/zIatGxUFPS
Our new paper led by @ianboutle with @niwa_nz tries a novel approach to cyclone impact modelling over #NewZealand 🌀🇳🇿
Using our #UnifiedModel we relocate the New Zealand land mass into the path of historical ex-tropical cyclones to see what happens 👉https://t.co/ed53AoNka1

Our new #openaccess paper led by @oxengsci uses a 1km version of our #UnifiedModel to examine the performance of large wind farms.
Site natural wind speed & site ability to maintain a wind speed are both crucial to predict power production.
Read more👉https://t.co/Y0jv8IpaQH

Our new @RMetS paper uses convective-scale ensemble simulations to investigate the role of compensating errors in the @metoffice #UnifiedModel representation of a US Great Plains severe convective event 👉
https://t.co/o3UyEb6gYO
A new 12 km resolution reanalysis of the south #Asia #monsoon region has just been released by @ncmrwfmoes 🌍🌏🔍
This uses our #UnifiedModel to assimilate observations & JULES for land-surface analysis
Read more👉https://t.co/IE6HGGaGov
Access data 👉https://t.co/Pt5FMC9NuX

Our new @RMetS paper evaluates the prediction of convective storms in convection‐permitting versions of the @metoffice #UnifiedModel over the Lake Victoria basin region in East Africa as part of the WISER HIGHWAY project. https://t.co/XGgGanMzIo #UKaidWISER #BSW21

Great to ‘meet’ you today Gethin as a member of the Probation Design Authority Board. Brilliant to have you contributing to the development of our future probation model #UnifiedModel
Thanks for the vote of confidence but I’ve got too much to do in probation for the time being #Transition #Recovery #UnifiedModel
Here you go @LyndaMarginson
#RMED is developing city scale models🏙️The animation shows overturning in a #convective_boundary_layer over #London in a 100m #UnifiedModel simulation🤓Look out for enhancement over the city, roll structure and the spin up at the inflow (S) boundary👉https://t.co/EDZJQJKqu9
This #UnifiedModel run uses 1,152 processors on the #ARCHER supercomputer. Maybe it will finish simulating 20 years (1988-2008) in a week or so. 2/2 #LandSurfaceModeling #ClimateScience
I just started a run of the #UnifiedModel (a Global Climate Model #GCM), including updates to the vegetation-modeling part of the #JULES land-surface model so that it uses the #Farquhar model of #photosynthesis together with acclimation to rising CO2 and rising temps! 1/2
Andy Elvidge (@ueaenv): #UnifiedModel surface turbulent heat fluxes have a positive bias compared to #IGP obs. Why? MIZ #seaice is too smooth. Also poor representation of surface roughness. Similar model biases are likely in @ECMWF #IFS
#IGPworkshop #meteorology #YOPP
Next, @JamesPope10 starts the #atmospheric session of #IGPworkshop by showing nested simulations of @MetOffice_Sci #UnifiedModel

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