Thanks to everyone for coming and to our fantastic speakers for making it such a great session - and thanks for baring with us through the technical difficulties . Remember to join us for posters in Hall A this afternoon.

Registration is open for the 3rd Annual Land Data Assimilation Community Virtual Workshop: “Recent Technical Developments in Land Data Assimilation!” The workshop will take place 20-21 June from 9:00 - 13:00 EDT (note revised dates!). aimesproject.org/lda_workshop_2…

With high levels of Greenland melt this year, never has it been more important to accurately simulate snow processes in land surface models. Our latest publication looks at how we can improve the representation of snow albedo over Greenland: doi.org/10.5194/tc-17-… @LSCE ❄️❄️❄️

Check out our neat little study showing how parameter optimisation and emergent constraint techniques can be used together to constrain global climate-carbon cycle projections 👇

Join us this autumn for some exciting discussions about improving land surface models for better predictions of the terrestrial ecosystems

👇 happening next week

We have Kicked-Off the ESA Earth Observation #EOAFRICA LUISA Continental Demonstrator project on Land Use Intensity! Pleasure to host at #ECSAT a great consortium led by Faculty ITC | University of Twente with BOKU University VITO Remote Sensing UoE Centre for Geography and Environmental Science Gisat More to come on Human Appropriation of #NetPrimaryProduction

Check out our new preprint highlighting the power of history matching for land surface model calibration by comparing it to the more traditional variational data assimilation approach James Salter Exeter University Mathematics #ORCHIDEE #LSCE ⚙️👇egusphere.copernicus.org/preprints/2024…

Check out our new paper showing how manipulation experiments can be used to ensure calibrated parameters capture different model responses under a changing climate Exeter University Mathematics #LSCE Biogeosciences Anne Sofie Lansø 🌳🌲 doi.org/10.5194/bg-21-…

Excited to have been part of this awesome new study led Peter Cox - we use emergent constraints to calculate carbon budgets consistent with Paris targets 🎯👇

New paper by Peter Cox, Chris Jones, Pierre Friedlingstein, Nina Raoult, Joeri Rogelj, Rebecca Varney et al. combines #climate simulations with observations to estimate better constrained #CarbonBudgets and finds them >10% larger than the mean from CMIP6 models. nature.com/articles/s4146…

Latest paper by Peter Cox, combining #climate simulations with observations to estimate better constrained #CarbonBudgets and finds them >10% larger than the mean from CMIP6 models bit.ly/49XIwvI. More at his #esiStateOfTheArt talk on 25 March 👉 exeter.ac.uk/esi/people/fea…

Emergent complexity is fascinating, but emergent simplicity is often more useful. I am blown away by the linearity between cumulative emissions and global warming that we see even in the most complex Earth System Models! Global Systems Institute Met Office Science doi.org/10.1038/s41467…

Why does plant respiration decay overnight? Simon Jones provides an answer in this elegant modelling paper, with Dan Bruhn, Lina Mercado, Nina Raoult Exeter University Mathematics Global Systems Institute doi.org/10.1038/s43247…

Excited to have been part of this neat new study led by Simon Jones linking night-time decline in plant respiration to substrate depletion 💤 🌱

If you are attending #EGU24 and want to learn more about this work: - I will be presenting the paper tomorrow (Wednesday, 10:45-12:30, 🟨 Hall 4, X4.103) - Simon will be taking about how we can apply this technique to adjust the carbon balance on Friday (12:05-12:15, 🟩 N1)

🌿 How can we make land surface models more accurate for better climate predictions? Check out our new preprint exploring data assimilation for parameter estimation and how machine learning can help: doi.org/10.22541/essoa… AIMES #LandSurfaceModelling #MachineLearning