This study investigates the influence of model resolution on the representation of Antarctic Intermediate Water (AAIW) hydrographic properties and the role of eddies in the meridional transport of salt using …
Accurately simulating the climate system has been a challenge and aspiration since the advent of numerical modeling. Here, we use the spatial pattern of 2 m surface temperature to discuss …
In forced ocean general circulation models (OGCMs), regional sea-level interannual variability arises from internal ocean dynamics and external forcings, among which freshwater fluxes from Greenland and rivers are typically prescribed …
Machine-learnt weather prediction (MLWP) models are now well established as being competitive with conventional numerical weather prediction (NWP) models in the medium range. However, there is still much uncertainty as …
Read more “Seasonal forecasting using the GenCast probabilistic machine learning model”
Ocean mesoscale structures, which are parameterized in models with standard resolutions on the order of 1° or coarser, have an impact at larger scales, affecting the ocean mean state and …
The ocean, because of its ability to store heat and as the biggest mediator of water exchanges on Earth, modulates the climate from years to centuries. By combining Water Mass …
This study evaluates the performance of high-resolution (grid sizes of 9–28 km for the atmosphere; 5–13 km for the ocean) global simulations from the EERIE project in representing the persistence of the …
The El Niño-Southern Oscillation (ENSO) influences climate variability globally, encompassing various other modes of variability, and thus represents a key predictable climate signal on seasonal timescales. Yet, its response to …
Read more “Global climate mode resonance due to rapidly intensifying El Niño-Southern Oscillation”
Recent advances in numerical modeling have enabled km-scale climate simulations, improving global climate representation and local-scale projections, critical to climate adaptation strategies. In this context, the present study assesses the …
Scale analysis based on coarse graining has been proposed recently as an alternative to Fourier analysis. It is now broadly used to analyze energy spectra and energy transfers in eddy-resolving …
Read more “Implementation of implicit filters for spatial spectra extraction”
