Tootfinder

Capturing the Variability of the Nocturnal Boundary Layer through Localized Perturbation Modeling
Amandine Kaiser, Nikki Vercauteren, Sebastian Krumscheid
https://arxiv.org/abs/2403.07602

Capturing the Variability of the Nocturnal Boundary Layer through Localized Perturbation Modeling
A single-column model is used to investigate regime transitions within the stable atmospheric boundary layer, focusing on the role of small-scale fluctuations in wind and temperature dynamics and of turbulence intermittency as triggers for these transitions. Previous studies revealed abrupt near-surface temperature inversion transitions within a limited wind speed range. However, representing these transitions in numerical weather prediction (NWP) and climate models is a known difficulty. To sh…

Climate change acceleration explained:
You're lying on the beach. You start adding layers and layers of thick blankets. That's greenhouse gasses.
You put up a huge reflective beach umbrella for shade. That's air pollution (aerosols).
If umbrella goes away you get hotter very fast.
For many yrs industrial activity added blankets (GHGs) at ~same rate as umbrellas (air pollution). That's why temps stayed fairly stable after WW2 and only gradually climbed …

SuperdropNet: a Stable and Accurate Machine Learning Proxy for Droplet-based Cloud Microphysics
Shivani Sharma, David Greenberg
https://arxiv.org/abs/2402.18354

SuperdropNet: a Stable and Accurate Machine Learning Proxy for Droplet-based Cloud Microphysics
Cloud microphysics has important consequences for climate and weather phenomena, and inaccurate representations can limit forecast accuracy. While atmospheric models increasingly resolve storms and clouds, the accuracy of the underlying microphysics remains limited by computationally expedient bulk moment schemes based on simplifying assumptions. Droplet-based Lagrangian schemes are more accurate but are underutilized due to their large computational overhead. Machine learning (ML) based scheme…

Climate change acceleration explained:
You're lying on the beach. You start adding layers and layers of thick blankets. That's greenhouse gasses.
You put up a huge reflective beach umbrella for shade. That's air pollution (aerosols).
If umbrella goes away you get hotter very fast.
For many yrs industrial activity added blankets (GHGs) at ~same rate as umbrellas (air pollution). That's why temps stayed fairly stable after WW2 and only gradually climbed …

Machine-learning prediction of tipping and collapse of the Atlantic Meridional Overturning Circulation
Shirin Panahi, Ling-Wei Kong, Mohammadamin Moradi, Zheng-Meng Zhai, Bryan Glaz, Mulugeta Haile, Ying-Cheng Lai
https://arxiv.org/abs/2402.14877

Machine-learning prediction of tipping and collapse of the Atlantic Meridional Overturning Circulation
Recent research on the Atlantic Meridional Overturning Circulation (AMOC) raised concern about its potential collapse through a tipping point due to the climate-change caused increase in the freshwater input into the North Atlantic. The predicted time window of collapse is centered about the middle of the century and the earliest possible start is approximately two years from now. More generally, anticipating a tipping point at which the system transitions from one stable steady state to anothe…