Abstract
A facility in the Netherlands has brought together simulations and observations, helping scientists improve efficiency and statistical significance of process-level evaluations of numerical weather and climate prediction models. The project, the Royal Netherlands Meteorological Institute (KNMI) Parametrization Testbed (KPT), is part of a general move toward more statistically significant process-level evaluation. A key goal of the KPT is to apply LES on a continuous basis and simulate multiyear periods, enabled for the first time by the use of GPUs. The cloud structure and time development evaluated at Cabauw on 8 April 2008 show the passage of individual cumuli that is distinguished in the high-frequency ceilometer observations. Relatively small deviations in the vertical thermodynamic structure can be associated with large deviations in cloud state.
| Original language | English |
|---|---|
| Pages (from-to) | 1389-1400 |
| Number of pages | 12 |
| Journal | Bulletin of the American Meteorological Society |
| Volume | 93 |
| Issue number | 9 |
| DOIs | |
| State | Published - Sep 1 2012 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
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