The atmospheric general circulation model ECHAM5 Part II: Sensitivity of simulated climate to horizontal and vertical resolution
By E. Roeckner, R. Brokopf, M. Esch, M. Giorgetta, Stefan Hagemann, L. Kornblueh, E. Manzini, U. Schlese, Uwe Schulzweida. 2004
598 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/1896b4a67244a79cd3a2f7feb80ad2a405274ecb
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In Atmospheric Science
- C. Hoose
- Ulrike Lohmann
- Paul Charbonneau
- P. Stier
- I. Usoskin
- Christiane Jablonowski
- Johann Feichter
- David L. Williamson
In Global and Planetary Change
- C. Hoose
- Ulrike Lohmann
- P. Stier
- Christiane Jablonowski
- Johann Feichter
- David L. Williamson
- Sylvaine Ferrachat
- Paul Charbonneau
Citations in the corpus
- Solar Forcing for CMIP6 (v3.1) (2016, methodology): “RAD/RAD-FUBRAD (Dietmüller et al., 2016) provides the parameterization of radiative transfer based on Fouquart and Bonnel (1980) and Roeckner et al. (2003) (RAD).”
- Influences of in-cloud aerosol scavenging parameterizations on aerosol concentrations and wet deposition in ECHAM5-HAM (2009, background): “ECHAM5 is the fifth generation atmospheric general circulation model (GCM) developed at the Max-Planck Institute for Meteorology (Roeckner et al., 2003), and evolved15 from the model of the European Centre for Medium Range Weather Forecasting (ECMWF).”
- A parametrization, based on sea ice morphology, of the neutral atmospheric drag coefficients for weather prediction and climate models (2012, background): “The concept of drag partitioning due to which the total drag of a surface can be separated into contributions by skin drag and form drag is artificial and goes back to Schlichting (1936). The partitioning concept is often used for surfaces where there is a clear scale separation between large roughn”
- The pros and cons of diffusion, filters and fixers in Atmospheric General Circulation Models (2011, methodology): “1/qC1K2qr2qT: (13.12) This form of the diffusion is furthermore utilized by the spectral transform model ECHAM5 developed at the Max–Planck Institute for Meteorology, where even higher-order diffusion operators are chosen below the sponge layer at the model top (Roeckner et al. 2003).”