collaborators

5 papers

physics.ao-ph2026

Maximum updraft velocity beyond CAPE: the role of boundary layer dynamics and pressure perturbations

Bety Pechacova, Alejandro Casallas, Tom Beucler +2

Deep convective updraft velocities play a key role in the Earth's climate system, influencing precipitation extremes, lightning, and the planetary energy budget. While Convective A…

physics.ao-ph2026

PRecover 1.0: Process Rate Recovery with Machine Learning

Miriam Simm, Tom Beucler, Corinna Hoose

Comprehensive information on cloud microphysical process rates from numerical simulations allows for better understanding of precipitation formation pathways and aerosol-cloud inte…

physics.ao-ph2026

Machine Learning of Vertical Fluxes by Unresolved Midlatitude Mesoscale Processes

Erisa Ismaili, Robert C. Jnglin Wills, Tom Beucler

Machine learning (ML) can represent processes unresolved in coarse-resolution Earth system models (ESMs) by learning from high-resolution climate data. Such ML parameterization app…

physics.ao-ph2026

Dissipating the correlation smokescreen: Causal decomposition of the radiative effects of biomass burning aerosols over the South-East Atlantic

Emilie Fons, Isabel L. McCoy, Tom Beucler +2

Biomass burning aerosols (BBAs) from Southern Africa seasonally overlie the semi-permanent South-East Atlantic (SEA) stratocumulus deck, impacting the region's energy budget throug…

physics.ao-ph2026

Calibrated Conformal Prediction Intervals for Microphysical Process Rates

Miriam Simm, Corinna Hoose, Tom Beucler

Conformal prediction can yield statistically valid prediction intervals for any regression model, with no model modifications and small computational costs. To assess its practical…