53 citations · 181 across the 7 of their papers we have counts for
7 papers
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…
Comparing the dynamics of idealized squall lines between NWP and LES models
Mirjam Tijhuis, Axel Seifert, Alberto de Lozar +3
Mesoscale convective systems, such as squall lines, produce large amounts of rainfall but remain challenging to forecast. We intercompare two atmospheric models, namely ICON (ICOsa…
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…
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…
Reconciling observations of solar irradiance variability with cloud size distributions
Wouter Mol, Bart van Stratum, Wouter Knap +1
Clouds cast shadows on the surface and locally enhance solar irradiance by absorbing and scattering sunlight, resulting in fast and large solar irradiance fluctuations on the surfa…
Non-precipitating shallow cumulus convection is intrinsically unstable to length-scale growth
Martin Janssens, Jordi Vilà-Guerau de Arellano, Chiel C. van Heerwaarden +3
Condensation in cumulus clouds plays a key role in structuring the mean, non-precipitating trade-wind boundary layer. Here, we summarise how this role also explains the spontaneous…
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…