activity
20202026
most citedRecord high solar irradiance in Western Europe during first COVID-19 lockdown largely due to unusual weather

58 citations · 177 across the 7 of their papers we have counts for

collaborators

7 papers

physics.ao-ph2026

Evaluating local climate in global storm-resolving models with the Köppen-Geiger classification

Chiel C. van Heerwaarden, Menno A. Veerman, Imme Benedict +11

Global storm-resolving models aspire to become digital twins of the Earth, delivering information at the local scale at which humans experience climate. We evaluated how well two s…

physics.ao-ph2024

Machine Learning-based Denoising of Surface Solar Irradiance simulated with Monte Carlo Ray Tracing

Ment Reeze, Menno A. Veerman, Chiel C. van Heerwaarden

Simulating radiative transfer in the atmosphere with Monte Carlo ray tracing provides realistic surface irradiance in cloud-resolving models. However, Monte Carlo methods are compu…

physics.ao-ph2023★ 28 cited

Observed Patterns of Surface Solar Irradiance under Cloudy and Clear-sky Conditions

Wouter Mol, Bert Heusinkveld, Mary Rose Mangan +3

Surface solar irradiance varies on scales as small as seconds or meters due to scattering and absorption by the atmosphere. Clouds are the main driver of this variability, but mois…

physics.ao-ph2022★ 37 cited

Shallow cumulus convection over land in cloud-resolving simulations with a coupled ray tracer

Menno A. Veerman, Bart J. H. van Stratum, Chiel C. van Heerwaarden

We present simulations of cumulus convection over land with shortwave radiation computed by a Monte Carlo ray tracer coupled to the flow solver. Ray tracing delivers very realistic…

physics.ao-ph2020★ 58 cited

Record high solar irradiance in Western Europe during first COVID-19 lockdown largely due to unusual weather

Chiel C. van Heerwaarden, Wouter B. Mol, Menno A. Veerman +6

Spring 2020 broke sunshine duration records across western Europe. The Netherlands recorded the highest surface irradiance since 1928, exceeding the previous extreme of 2011 by 13…

physics.ao-ph2020★ 53 cited

Predicting atmospheric optical properties for radiative transfer computations using neural networks

Menno A. Veerman, Robert Pincus, Robin Stoffer +3

The radiative transfer equations are well-known, but radiation parametrizations in atmospheric models are computationally expensive. A promising tool for accelerating parametrizati…