Top Tweets for #cmip5
Good to know that the old figure comparing #CMIP5 model #albedo with #CERES albedo in Stephens et al. (2015) seems to be in error regarding the CERES data.
See Gavin's article over at @RealClimate: "A reflection on reflection"
https://t.co/0UCohbjQKq

Josefine Axelsson @Stockholm_Uni presenting her research on the Mayan collapse at #INQUARoma2023 #natgeoSU #CMIP5

Droughts being a key feature of #weather systems over Malawi & eastern/southern Africa, new paper explores austral summer #drought processes in #Malawi and how well they are simulated in #CMIP5 models. #climatology #climatedynamics #ElNino @BirchCathryn @AndyDougill
New: Malawi's summer droughts & their driving mechanisms in observations & present-day climate simulations https://t.co/s7EtgV1a1a - First PhD paper from the wonderful @Manuel_Ricco via @ICASLeeds @SRILeeds & now @mustmalawi @fosta_health
We have temporarily hosted our #downscaled #CMIP5 climate data for individual locations in Rhode Island.
It will soon be moved to the RI Geological Survey site.
#ClimateModels #biascorrection #statistics #PradhanangLab @URI_GEO @universityofri @uricels
https://t.co/pCjNDwcPRh
Check out our latest paper on using U-nets for Climate Change model downscaling. Inspired by image sharpening. Read paper here: https://t.co/E0boarfqx6
#AI #ClimateCrisis #climatechange #research #downscaling #CNN #CMIP5 #ERA5

This accelerated decline ๐ is not present in the #CMIP5-forced versions (CESM1-LE and CESM2-CMIP5). By using successive generations of the same model ๐ป (CESM1 vs CESM2), we were able to rule out changes in model physics as the cause of the accelerated sea ice loss ๐. (3/n)
Another Friday, another Comparison: #EarthSystemModels play a big role in climate research. https://t.co/v3MIJebBEw provides an overview of different models taken from the #CMIP5 project. 18 contributions have been compared with regards to approximations, discretizations etc.
From today on, we will start a new format: Each Friday we will put the spotlight on one ORKG comparison to celebrate the work of our users and to showcase ORKGโs use for different scientific fields.
@DrMichaelByrne @sheffieldgeog @sheffieldplants @sheffield_dust @Kate_M_Willett @granthamcsf @AcademicChatter (1) Interplay of modes โ extreme dry years โ RH decrease since 2000 (2) Faster land-than-ocean/lake warming #CaspianSea (3) Regional wind & SST/#ITCZ/#precipitation trends - #Brazil (4) Anthropologic/water resource management (5) High-latitude q/T-RH correlations obs โ #CMIP5
๐Open for Submission! #Special_Issue of #Atmosphere "Observation, Prediction, Simulation, and Future Projections of Sudden Stratospheric Warming and Its Impact, guest edited by Dr. Jian Rao et al.
Learn more at: https://t.co/77PKbVGVin
#sudden_stratospheric_warming
#CMIP5
#model

๐Paper recommendation:
A Weather-Pattern-Based Evaluation of the Performance of #CMIP5 Models over #Mexico
https://t.co/vJV0SRsPKU
#ClimateModelEvaluation #WeatherRegimes #SynopticClimatology

Check out our new paper in @NatureComms! We used #MachineLearning, CESM-LENS, and #CMIP5 data to enable the global multi-model projections of #Urban Heat Waves (UHWs) under #ClimateChange. We showed large model structural uncertainty in UHWs projections. https://t.co/iVpT0tY6LX
In a @AMSJCLi paper,
@sbcornish et al. used a statistical technique to find the time-evolving response of freshwater content ๐ง in the Arctic Ocean to a step change in the strength of the #Arctic Oscillation (atmospheric patterns) in #CMIP5 models ๐:
https://t.co/oTD5DVBuoH

๐ข #ECR showcase alert!
Since their return from @MOSAiCArctic, our Ambassadors have been busy continuing their research on #polar regions.
Time to share their great, recently published articles with #AcademicTwitter!
Get ready for 1 day โ๏ธ 1 cool #cryo paper ๐
๐ธ@HaapalaJari

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