The aerosol-climate model ECHAM5-HAM

By P. Stier, Johann Feichter, S. Kinne, S. Kloster, E. Vignati, J. Wilson, L. Ganzeveld, I. Tegen, M. Werner, Y. Balkanski and 4 more. 2004

1,100 citations recorded by the source corpus.

The aerosol-climate modelling system ECHAM5-HAM is introduced. It is based on a flexible microphysical approach and, as the number of externally imposed parameters is minimised, allows the application in a wide range of climate regimes. ECHAM5-HAM predicts the evolution of an ensemble of microphysically interacting internally- and externally-mixed aerosol populations as well as their size-distribution and composition. The size-distribution is represented by a superposition of log-normal modes. In the current setup, the major global aerosol compounds sulfate (SU), black carbon (BC), particulate organic matter (POM), sea salt (SS), and mineral dust (DU) are included. The simulated global annual mean aerosol burdens (lifetimes) for the year 2000 are for SO4: 0.80 Tg(S) (3.9 days), for BC: 0.11 Tg (5.4 days), for POM: 0.99 Tg (5.4 days), for SS: 10.5 Tg (0.8 days), and for DU: 8.28 Tg (4.6 days). An extensive evaluation with in-situ and remote sensing measurements underscores that the model results are generally in good agreement with observations of the global aerosol system. The simulated global annual mean aerosol optical depth (AOD) is with 0.14 in excellent agreement with an estimate derived from AERONET measurements (0.14) and a composite derived from MODIS-MISR satellite retrievals (0.16). Regionally, the deviations are not negligible. However, the main patterns of AOD attributable to anthropogenic activity are reproduced.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/37db9d56eeaa8947b11b1afbbf9856033843a920

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Ulrike Lohmann
2. Xiaohong Liu
3. C. Hoose
4. Steven Ghan
5. P. Stier
6. Johannes Quaas
7. Martin Wild
8. N. Bellouin

In Global and Planetary Change

1. Ulrike Lohmann
2. Xiaohong Liu
3. C. Hoose
4. Steven Ghan
5. P. Stier
6. Johannes Quaas
7. Martin Wild
8. J. Kristjánsson

Citations in the corpus

• Aerosol nucleation and its role for clouds and Earth's radiative forcing in the aerosol-climate model ECHAM5-HAM (2010, methodology): “Makkonen et al.(2009) used nucleation via cluster activation as parametrized bySihto et al.(2006) together with neutral nucleation of sulfuric acid and water (Vehkam̈aki et al., 2002) in the ECHAM5-HAM model (Stier et al., 2005).”
• Detailed source term estimation of the atmospheric release for the Fukushima Daiichi Nuclear Power Station accident by coupling simulations of an atmospheric dispersion model with an improved deposition scheme and oceanic dispersion model (2014, background): “, 2011) and modeling works of snow scavenging of aerosols with 1 μm in mass-equivalent diameter (Stier et al., 2005; Croft et al., 2009; Zhang et al., 2013).”
• Aerosol Mixing State: Measurements, Modeling, and Impacts (2019, methodology): “, 2014), ECHAM-HAM (Stier et al., 2005), and MATRIX (Bauer et al.”
• Uncertainty in global CCN concentrations from uncertain aerosol nucleation and primary emission rates (2008, background): “…et al., 2001; Adams and Seinfeld, 2002; Adams and Seinfeld, 2003; Easter et al., 2004; Rodriguez and Dabdub, 2004; Spracklen et al., 2005b; Spracklen et al., 2005a; Stier et al., 2005; Pierce and Adams, 2006; Spracklen et al., 2006; Stier et al., 2006; Pierce et al., 2007; Spracklen et al., 2008).”
• Global indirect aerosol effects: a review (2004, neutral): “It is the route that needs to be taken in order to improve the treatment of aerosols in GCMs. Advanced aerosol modules in some GCMs have been expanded to include aerosol mixtures (Ghan et al., 2001; Stier et al., 2004; Easter et al., 2004).”
• The atmospheric general circulation model ECHAM6 - Model description (2013, methodology): “Historic The contribution of the anthropogenic aerosols to the aerosol optical depth due to fine mode aerosols is estimated in the following way: First, an ECHAM5–HAM (Stier et al. (2005)) hindcast simulation using National Institute for Environmental Studies (NIES) emissions was performed for the y”
• Impact of nucleation on global CCN (2009, methodology): “Uncertainties in UTN rates were tested with PR+UTN runs with BHN according toVehkam̈aki et al. (2002) instead ofKulmala et al.”
• Causes for decadal variations of wind speed over land: Sensitivity studies with a global climate model (2012, result): “[10] These results confirm the results by Vautard et al. [2010] as obtained with a regional climate model and extend their findings to further regions and the global scale.”
• Aerosol cloud precipitation interactions. Part 1. The nature and sources of cloud-active aerosols (2008, background): “difference between particle fluxes with a given source or precursor (for example anthropogenic SO2) turned on or off in a full atmospheric model, as has been done by Stier et al. (2006a). Unfortunately, this type of approach is still in its infancy, and is”