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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 6, issue 3
Geosci. Model Dev., 6, 861–874, 2013
https://doi.org/10.5194/gmd-6-861-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 6, 861–874, 2013
https://doi.org/10.5194/gmd-6-861-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Development and technical paper 26 Jun 2013

Development and technical paper | 26 Jun 2013

Numerical issues associated with compensating and competing processes in climate models: an example from ECHAM-HAM

H. Wan1, P. J. Rasch1, K. Zhang1, J. Kazil2,3, and L. R. Leung1 H. Wan et al.
  • 1Pacific Northwest National Laboratory, Richland, WA, USA
  • 2Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, CO, USA
  • 3NOAA Earth System Research Laboratory (ESRL), Boulder, CO, USA

Abstract. The purpose of this paper is to draw attention to the need for appropriate numerical techniques to represent process interactions in climate models. In two versions of the ECHAM-HAM model, different time integration methods are used to solve the sulfuric acid (H2SO4) gas evolution equation, which lead to substantially different results in the H2SO4 gas concentration and the aerosol nucleation rate. Using convergence tests and sensitivity simulations performed with various time stepping schemes, it is confirmed that numerical errors in the second model version are significantly smaller than those in version one. The use of sequential operator splitting in combination with a long time step is identified as the main reason for the large systematic biases in the old model. The remaining errors of nucleation rate in version two, related to the competition between condensation and nucleation, have a clear impact on the simulated concentration of cloud condensation nuclei (CCN) in the lower troposphere. These errors can be significantly reduced by employing solvers that handle production, condensation and nucleation at the same time. Lessons learned in this work underline the need for more caution when treating multi-timescale problems involving compensating and competing processes, a common occurrence in current climate models.

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