Climate Processes
@ClimateProc
Climate Processes Group in the Department of Physics at the University of Oxford
Interested in the response of convection to climate and air pollutions changes in global km-scale models? We are looking for a post-doctoral researcher in the @HorizonEU project @CleanCloud_HE with collaborators across Europe. Apply by 31 January: my.corehr.com/pls/uoxrecruit…
Considering to apply to our Intelligent Earth @IntelliEarth graduate school in AI for the Environment? Over 80 supervisors from Oxford's AI and Environmental Science departments are now listed on our webpage! intelligent-earth.ox.ac.uk/people
Considering to apply to our Intelligent Earth graduate school in AI for the Environment? Applications are now open for the 2024 entry! We offer 20 fully funded PhD studentships per year. The recording and presentations from our open day are now online: intelligent-earth.ox.ac.uk
Considering to apply to our Intelligent Earth graduate school in AI for the Environment? Applications are now open for the 2024 entry! We offer 20 fully funded PhD studentships per year. The recording and presentations from our open day are now online: intelligent-earth.ox.ac.uk
We are looking for a post-doctoral researcher to work on geospatial foundation models for analysis and compression of atmospheric data to advance our understanding of clouds. @HorizonEU project Embed2Scale, with @IBMResearch, @DLR_en,... Apply by 15 Jan: my.corehr.com/pls/uoxrecruit…
Applications for our Intelligent Earth graduate school in AI for the Environment are now open for the 2024 entry! We offer 20 fully funded PhD studentships per year. Check out our webpage intelligent-earth.ox.ac.uk and register for our virtual open day on 30 Nov at 9:30 GMT.
Our UN @ITU #AIforGood series on #AIforClimateScience continues! Join us tomorrow 14:00 CET, 8:00 EST for a talk by Sara Shamekh @Columbia on machine learning insights into precipitation: Implicitly Learning Cloud Organization for Improved Predictions! aiforgood.itu.int/event/machine-…
⏰️7 days left to the hybrid UN @ITU @AIforGood AI Global Summit 6-7 July in 📍Geneva ✨️ELLIS Jena / Oxford pre-Summit workshop ➡️ July 5 Curators: @Reichstein_BGC, Gustau Camps-Valls (@isp_uv_es), @PhilipStier, @DWatsonParris aiforgood.itu.int/event/the-role…
Join us for another talk in our @AIforGood #aiforclimatescience series today at 17:00 CEST | 10:00 CDT | 23:00 CST for a talk by Pedram Hassanzadeh @turbulentjet! Opening the neural networks’ black box for climate science aiforgood.itu.int/event/opening-…
Time for #AIforClimateScience @AIforGood ahead of Easter! We are super excited to host Bill Collins @UCBerkeley @BerkeleyLab to speak about the fantastic opportunities of huge model ensembles provide by the use of surrogate models! Join us at 17:00 CEST, 08:00 PDT, 23:00 CST!
Don't miss out on tomorrow #AIforGood Discovery! Prof. William D. Collins from @UCBerkeley will present FourCastNet, a powerful weather forecasting model that accurately predicts global weather patterns at a high resolution. Register now! 🌐 loom.ly/ohwrZEw
Tracking deep convective storms over Africa using a novel method described in our new paper amt.copernicus.org/articles/16/10… with @PhilipStier and @mattchri, supported by @ERC_Research @FORCeS_H2020
And if you are really interested in cloud tracking consider joining our cloud tracking workshop in Oxford 17-21 April 2023, ahead of the @EuroGeosciences general assembly: cloud-tracking-2023.eventbrite.com
eventbrite.com
Cloud Tracking Workshop
A workshop covering applications, key tools, opportunities, and datasets
Interested in cloud tracking? Check out our new paper led by Will Jones @willk_jones : A semi-Lagrangian method for detecting and tracking deep convective clouds in geostationary satellite observations amt.copernicus.org/articles/16/10… @ERC_Research @FORCeS_H2020
amt.copernicus.org
A semi-Lagrangian method for detecting and tracking deep convective clouds in geostationary...
Abstract. Automated methods for the detection and tracking of deep convective clouds in geostationary satellite imagery have a vital role in both the forecasting of severe storms and research into...
And our @AIforGood sessions on #AIforClimateScience sessions continue strong with Tom Beucler @unil and Marie McGraw @ColoradoStateU on AI for tropical meteorology. Join us tomorrow 8 March 2023 at 19:00 CET | 09:00 EST | 08:00 CST!
Did you know that #MachineLearning offers opportunities to improve forecasts of tropical storm wind speeds and precipitation? 🌪️ 🌬️ Register for tomorrow's #AIforGood Discovery session to learn more! 🌐 loom.ly/Q4yTVto 🗓️ Wednesday, 8 March 2023 ⏰ 17:00 CET, 8:00 PST
Our @AIforGood #aiforclimatescience sessions are back! Join us tomorrow 22 Feb at 17:00 CET, 08:00 PST, 00:00 CST for a talk by Mike Prichard @SciPritchard @UCIrvine and @NVIDIA. Talks will resume biweekly with a fantastic lineup: aiforgood.itu.int/eventcat/disco…
Join this #AIforGood webinar as @SciPritchard from @nvidia explores the potential of #MachineLearning in #climate simulations and #weather prediction. Register now: 🌐 loom.ly/F4TWrcc 🗓️Wednesday, 22 February 2023 ⏰17:00 CET, 08:00 PST, 00:00 CST
Check our our article summarising recent research with @PManshausen @DWatsonParris in the @ConversationUK: Air pollution cools climate more than expected – this makes cutting carbon emissions more urgent theconversation.com/air-pollution-… @iMIRACLI_ITN @FORCeS_H2020 @ERC_Research
Climate models are computationally expensive so policy makers rely on approximations for global mean temperatures, which ignores regionality of climate change. Fast emulators of climate models provide full complexity. Our paper led by @DWatsonParris outlines a way forward...
Join this #AIforGood webinar as @SciPritchard from @nvidia explores the potential of #MachineLearning in #climate simulations and #weather prediction. Register now: 🌐 loom.ly/F4TWrcc 🗓️Wednesday, 22 February 2023 ⏰17:00 CET, 08:00 PST, 00:00 CST
‼️Our new work on ‘Invisible Ship Tracks’ has been published in @Nature🤯 What are Invisible Ship Tracks? 👻🚢 And what can they tell us about future warming of the earth? 🌥️ 🌍 🧵 👉nature.com/articles/s4158…
And the second paper, led by @PManshausen, is now out in @Nature, reveals that invisible tracks from ship emissions show a large cloud sensitivity - with significant implications for aerosol-radiative effects. @iMIRACLI_ITN @ERC_Research @FORCeS_H2020 nature.com/articles/s4158…
nature.com
Invisible ship tracks show large cloud sensitivity to aerosol
Nature - Investigations of the effect of aerosol emissions from shipping on cloud properties when both visible and invisible ship tracks are considered implies a large negative radiative effect...
Quantification of the radiative impacts of aerosol-cloud interactions remains a key climate science challenge. Opportunistic experiments, e.g. emission tracks of ships, provide a laboratory to study these effects. Get ready for two exciting papers from our @ClimateProc group...
The radiative effects of black carbon plumes depend strongly on the location - why? Our @NatureClimate paper led by @AndrewIWilliams sheds light into the underlying physical mechanisms. Nice way to kick off his PhD! @ERC_Research @NERCscience nature.com/articles/s4155…
It was great to kick off the programme of our much delayed first in-person @iMIRACLI_ITN @MSCActions summer school on machine learning for clouds, aerosol and climate #aiforclimate at Neusiedler See ahead of the @EuroGeosciences assembly! Great cohort and great discussions!
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