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20152023
most citedStochastic Parameterization: Towards a new view of Weather and Climate Models

431 citations

Showing physics.ao-phShow all

5 papers · 1 filter

physics.ao-ph2021★ 23 cited

Massive feature extraction for explaining and foretelling hydroclimatic time series forecastability at the global scale

Georgia Papacharalampous, Hristos Tyralis, Ilias G. Pechlivanidis +2

Statistical analyses and descriptive characterizations are sometimes assumed to be offering information on time series forecastability. Despite the scientific interest suggested by…

physics.ao-ph2019★ 18 cited

Detecting regime transitions of the nocturnal and Polar near-surface temperature inversion

Amandine Kaiser, Davide Faranda, Sebastian Krumscheid +2

Many natural systems undergo critical transitions, i.e. sudden shifts from one dynamical regime to another. In the climate system, the atmospheric boundary layer can experience sud…

physics.ao-ph2018★ 23 cited

Statistical investigations of flow structures in different regimes of the stable boundary layer

Nikki Vercauteren, Vyacheslav Boyko, Amandine Kaiser +1

A combination of methods originating from non-stationary timeseries analysis is applied to two datasets of near surface turbulence in order to gain insights on the non-stationary e…

physics.ao-ph2015★ 80 cited

Intensification of convective extremes driven by cloud-cloud interaction

Christopher Moseley, Cathy Hohenegger, Peter Berg +1

In a changing climate, a key role may be played by the response of convective-type cloud and precipitation to temperature changes. Yet, it is unclear if precipitation intensities w…

physics.ao-ph2015★ 431 cited

Stochastic Parameterization: Towards a new view of Weather and Climate Models

Judith Berner, Ulrich Achatz, Lauriane Batte +23

The last decade has seen the success of stochastic parameterizations in short-term, medium-range and seasonal forecasts: operational weather centers now routinely use stochastic pa…