šThe EXPECT team is attending the CMIP7 Forcings Drop-in Session next week!
š 9 September, 07:00ā08:00 & 16:00ā17:00 UTC
š£Join us to get the latest on CMIP7 forcing datasets driving the Assessment Fast Track and share your insights!
Register here: bit.ly/46m8rxX
Interested in more reliable winter climate predictions for Eurasia and the Arctic? Keep reading š
Our project coordinator, @MG_Donat, is a co-author on this recent publication from @I4C_eu, one of EXPECTās sister projects!
Find out more: iopscience.iop.org/article/10.108ā¦
Interested in more reliable winter climate predictions for Eurasia and the Arctic? Keep reading š
Our project coordinator, @MG_Donat, is a co-author on this recent publication from @I4C_eu, one of EXPECTās sister projects!
Find out more: iopscience.iop.org/article/10.108ā¦
š”ļø The sharp global warming in 2023-2024 was highly predictable.
A November 2022 forecast ensemble captured ~75% of 2023ās rise. š
Forecast skill depends on predicting:
š Strong El NiƱo
š Enhanced shortwave radiation absorption
Read more šš¼ bit.ly/409XpIJ
Are you following us on Bluesky yet? š¦
Stay connected with us for the latest updates on explaining and predicting climate changes and extremes, and be part of the conversation!
Follow us today: bsky.app/profile/expectā¦
A new study uncovers: atmospheric circulation shifts explain up to 40% of the excess winter warming in Europe!
ā ļø Most climate models miss this, adding uncertainty to future predictions.
š§ Whatās driving this European heat-up? Read the publication š bit.ly/4k0OAbU
š”ļøWhy could central and northern Europe, compared to the south, face more challenges in adapting to upcoming summer heatwaves?
New research shows that changes in internal climate variabilityānot just rising temperaturesāare driving this emerging divide š bit.ly/3U0AD2s
Can we improve climate predictions 10ā20 years ahead?
Yes, by combining internal variability using past observations & decadal forecasts! š
š”This study shows this approach reduces uncertainty & boosts regional climate accuracy
Dive into the article š bit.ly/3GuqbwE
š Less noise, just as much knowledge. In August, weāll be posting less frequently, but not going silent!
Weāll be sharing a selection of EXPECT papers exploring key themes in #ClimateChange prediction and attribution.
Find them all on our website: expect-project.eu/resources/
ā° The clock is ticking: 3 days left to submit your abstract!
š£ļø Workshop on Understanding and Predicting Annual to Multi-Decadal Climate Variations (UPCLIV)
Send your abstract by 31 July! š bit.ly/4lCZ4iI#HorizonEU#HorizonEUrope
@ASPECT_project, @WCRP_climate
Still working on your abstract? Hurry up! The deadlineās just around the corner ā° You have until 31 July to submit it: expect-project.eu/events/open-woā¦
Still working on your abstract? Hurry up! The deadlineās just around the corner ā° You have until 31 July to submit it: expect-project.eu/events/open-woā¦
What are climate storylines and why do they matter?
Gerrit Versteeg, Junior Research Engineer at @BSC_CNS, explained us how these plausible scenarios help tackle uncertainty, improve decisions and avoid false precision.
Read the full interview here š expect-project.eu/news/climate-sā¦
Deadline extended! š¢ Havenāt submitted your abstract yet?
š£ļø Workshop on Understanding and Predicting Annual to Multi-Decadal Climate Variations (UPCLIV)
You can still send it until 31 July! š bit.ly/4lCZ4iI#HorizonEU#HorizonEUrope
@ASPECT_project@WCRP_climate
Behind a climate model, there is a person imagining the future.
Within EXPECT, Gerrit Versteeg, Junior Research Engineer at @BSC_CNS, explores how scientists craft #storylines of future change.
š How can #storytelling change climate science?
Read more: expect-project.eu/news/climate-sā¦
š”ļøClimate extremes are on the rise⦠And how can AI and machine learning improve the predictions from 1 to 30 years ahead?
If youāre curious, join us in this open #workshop in Bologna or online on 18-20 November.
Submit your abstract by 15 July!š bit.ly/44HYrhJ
We're building a future where reliable climate predictions shape how we respond to a #ClimateChangeš¬š
From atmospheric circulation patterns toĀ land atmospheric interactions, our research aims to enable trustworthy assessments & predictions.
Learn morešš¼expect-project.eu
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Join us on LinkedIn ASPECT-project!
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92 Followers 118 FollowingDeveloping a new generation of Earth System Models
Horizon Europe project GA nr. 101081193. Views are our own.
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230 Followers 243 FollowingASPECT is an EU wide project facilitating seamless #climateadaptation.
Join us on LinkedIn ASPECT-project!
Funded by @HorizonEU | #EUClimateAction #HorizonEU
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480 Followers 348 FollowingResearcher @BSC_CNS;
Applying Computer Vision and Machine Learning on problems related to Earth Sciences and Sign Language understanding. She/Her š§š·
76 Followers 60 FollowingArtificial Intelligence and Machine Learning for Enhanced Representation of Processes and Extremes in Earth System Models (funded by #HorizonEU)
116 Followers 169 FollowingDisaster Resilience for Extreme Climate Events providing Interoperable Data, Models, Communication and Governance (DIRECTED) Project
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THIS PROFILE IS NO LONGER BEING UPDATED, ALL PROJECT NEWS IS ON:
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550 Followers 313 Following@MIT professor and @climatematch co-founder. Interested in all things ocean, turbulence, climate, modeling, and machine learning.
599 Followers 336 FollowingDeveloping a new generation of Earth System Models in support of the Paris Agreement.
H2020 EU project GA N.101003536. Views are our own.
#ClimateResearchNet
150 Followers 155 FollowingClimate Modelling Laboratory.
Head of the laboratory is Gianmaria Sannino. #climatechange #OceanEnergy #Oceanography #research #environment
6K Followers 539 FollowingWe are a multidisciplinary research centre co-creating knowledge on the causes and impacts of #climatechange relevant to decision-making
12K Followers 2K Followingwitter account updated by communication staff. RTs & links are not endorsements. We are also on Bluesky: https://t.co/ps14AZPikw
820 Followers 736 FollowingEMERGE envisions collaborative #robots capable of adapting to the unstructured conditions found in the real world | @HorizonEU @EUeic
31 Followers 111 FollowingDisaster Risk Specialist - University College London (UCL) - University School for Advanced Studies - (Italy) #Geography #Disasters #GIS #Remote_Sensing
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