The Development and Verification of A Cloud Prediction Scheme For the Ecmwf Model

By J. Slingo. 2007

448 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/eeb2c9c5976c2ac78a8f979c08bc4153575d8ccf

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Citations in the corpus

Simulation of direct radiative forcing of aerosols and their effects on East Asian climate using an interactive AGCM-aerosol coupled system (2012, methodology): “The cloud fraction was derived from diagnostic relationships introduced by Slingo (1987) , with variations described by Hack et al. (1993), Kiehl et al. (1998), and Rasch and Kristjansson (1998).”
Aerosol indirect effects – general circulation model intercomparison and evaluation with satellite data (2009, unknown): “…(Morrison and Gettelman, 2008), the RRTMG radiation package (Iacono et al., 2008), a diagnostic cloud cover scheme based on relative humidity after Slingo (1987) a large-scale condensation scheme after Rasch and Kristj´ansson (1998) updated by Zhang et al. (2003), and a seven-mode version of…”
Simulations of midlatitude frontal clouds by single-column and cloud--resolving models during the Atmospheric Radiation Measurement March 2000 cloud intensive operational period (2005, unknown): “The grid mean vertical velocity is also an important factor in controlling cloud faction in the Slingo [1987] scheme; (2) The statistical schemes described by Tompkins [2002] and Menon et al. [2003] are used in ECHAM5 and PNNL, respectively.”
20-km-Mesh Global Climate Simulations Using JMA-GSM Model —Mean Climate States— (2006, methodology): “In order to represent subtropical marine stratocumulus off the west coasts of the continents, a new stratocumulus parameterization scheme has been introduced, following a simple and classical one proposed by Slingo (1987), with some modifications (Kawai 2004).”
Boundary Layer and Shallow Cumulus Clouds in a Medium-Range Forecast of a Large-Scale Weather System (2005, methodology): “…clouds properties, that is, subgrid cloud fraction and water content, can be determined using different methods: empirical diagnostic methods (e.g., Slingo 1987), prognostic equations for cloud water but still diagnostic for cloud fraction (e.g., Sundqvist 1993), prognostic equations for both…”
Impact of a New Radiation Package, McRad, in the ECMWF Integrated Forecasting System (2008, methodology): “the ECMWF radiation codes were not free from systematic errors, they had already provided interactivity with the temperature, with the water vapor, and then, a few years later, with the distribution of the fractional cover and optical thickness of clouds provided by the diagnostic cloud scheme (Slin”