I am hiring!
I have a fully funded PhD position available for someone with an interest in logic and statistics, at Delft University of Technology (Netherlands).
Application deadline: 31 August 2025
#AcademicJobs #AcademicMastodon #GetFediHired #AcademicJob #SymbolicAI #Statistics #AI #ConstraintProgramming #CombinatorialOptimisation #SensitivityAnalysis #FormalMethods #CombinatorialOptimization #Delft #TUDelft #AcademicChatter
š” Check out this study on key parameters affecting #Antarctic #seaice š§ simulation in #Earth system models. With 449 model runs and advanced #sensitivityanalysis, find out how optimizing model parameters can improve sea ice extent and volume simulation!
Read more belowš
https://bit.ly/3ZxZrko
Abstract. The seasonally dependent Antarctic sea ice concentration (SIC) budget is well observed and synthesizes many important airāseaāice interaction processes. However, it is rarely well simulated in Earth system models, and means to tune the former are not well understood. In this study, we investigate the sensitivity of 18 key NEMO4.0-SI3 (Nucleus for European Modelling of the Ocean coupled with the Sea Ice Modelling Integrated Initiative) model parameters on modelled SIC and sea ice volume (SIV) budgets in the Southern Ocean based on a total of 449 model runs and two global sensitivity analysis methods. We found that the simulated SIC and SIV budgets are sensitive to ice strength, the thermal conductivity of snow, the number of ice categories, two parameters related to lateral melting, iceāocean drag coefficient and airāice drag coefficient. An optimized iceāocean drag coefficient and airāice drag coefficient can reduce the root-mean-square error between simulated and observed SIC budgets by about 10ā%. This implies that a more accurate calculation of ice velocity is the key to optimizing the SIC budget simulation, which is unlikely to be achieved perfectly by simply tuning the model parameters in the presence of biased atmospheric forcing. Nevertheless, 10 combinations of NEMO4.0-SI3 model parameters were recommended, as they could yield better sea ice extent and SIC budgets than when using the standard values.
New blogpost šØ : What do you do if you found a significant result, but your study was underpowered? How reliable is your finding? I discuss Type M and Type S error
https://mzstats.blogspot.com/2023/02/what-not-to-do-with-non-null-results.html
#statistics #frequentist #NHST #pvalue #sensitivityanalysis #falsepositiverisk #rstats
Dr. Anna Latour
PolarRES
Dr Mircea Zloteanu āļø šš“
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