ICON-A, the Atmosphere Component of the ICON Earth System Model: I. Model Description
Abstract
ICON-A is the new icosahedral non-hydrostatic (ICON) atmospheric general circulation model in a configuration using the Max Planck Institute (MPI) physics package, which originates from the ECHAM6 general circulation model, and has been adapted to account for the changed dynamical core framework. The coupling scheme between dynamics and physics employs a sequential updating by dynamics and physics, and a fixed sequence of the physical processes similar to ECHAM6. To allow a meaningful initial comparison between ICON-A and the established ECHAM6-LR model, a setup with similar, low resolution in terms of number of grid points and levels is chosen. The ICON-A model is tuned on the base of the AMIP experiment aiming primarily at a well balanced top-of atmosphere energy budget to make the model suitable for coupled climate and Earth system modeling. The tuning addresses firstly the moisture and cloud distribution to achieve the top-of-atmosphere energy balance, followed by the tuning of the parameterized dynamic drag aiming at reduced wind errors in the troposphere. The resulting version of ICON-A has overall biases which are comparable to those of ECHAM6. Problematic specific biases remain in the vertical distribution of clouds and in the stratospheric circulation, where the winter vortices are toomore »
- Authors:
-
more »
- Max Planck Institute for Meteorology, Hamburg (Germany)
- Deutscher Wetterdienst, Offenbach (Germany)
- Max Planck Institute for Meteorology, Hamburg (Germany); Univ. of Leipzig, Leipzig (Germany)
- Max Planck Institute for Meteorology, Hamburg Germany
- Princeton Univ., Princeton, NJ (United States)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Publication Date:
- Research Org.:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1464496
- Alternate Identifier(s):
- OSTI ID: 1512398
- Report Number(s):
- PNNL-SA-134716
Journal ID: ISSN 1942-2466; TRN: US1902397
- Grant/Contract Number:
- AC05-76RL01830
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Advances in Modeling Earth Systems
- Additional Journal Information:
- Journal Volume: 10; Journal Issue: 7; Journal ID: ISSN 1942-2466
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; ICON-A; atmospheric GCM; model description; model tuning
Citation Formats
Giorgetta, Marco A., Brokopf, R., Crueger, T., Esch, M., Fiedler, S., Helmert, J., Hohenegger, C., Kornblueh, L., Kohler, M., Manzini, E., Mauritsen, T., Nam, C., Raddatz, T., Rast, S., Reinert, D., Sakradzija, M., Schmidt, H., Schneck, R., Schnur, R., Silvers, L., Wan, H., Zangl, G., and Stevens, B. ICON-A, the Atmosphere Component of the ICON Earth System Model: I. Model Description. United States: N. p., 2018.
Web. doi:10.1029/2017MS001242.
Giorgetta, Marco A., Brokopf, R., Crueger, T., Esch, M., Fiedler, S., Helmert, J., Hohenegger, C., Kornblueh, L., Kohler, M., Manzini, E., Mauritsen, T., Nam, C., Raddatz, T., Rast, S., Reinert, D., Sakradzija, M., Schmidt, H., Schneck, R., Schnur, R., Silvers, L., Wan, H., Zangl, G., & Stevens, B. ICON-A, the Atmosphere Component of the ICON Earth System Model: I. Model Description. United States. doi:https://doi.org/10.1029/2017MS001242
Giorgetta, Marco A., Brokopf, R., Crueger, T., Esch, M., Fiedler, S., Helmert, J., Hohenegger, C., Kornblueh, L., Kohler, M., Manzini, E., Mauritsen, T., Nam, C., Raddatz, T., Rast, S., Reinert, D., Sakradzija, M., Schmidt, H., Schneck, R., Schnur, R., Silvers, L., Wan, H., Zangl, G., and Stevens, B. Fri .
"ICON-A, the Atmosphere Component of the ICON Earth System Model: I. Model Description". United States. doi:https://doi.org/10.1029/2017MS001242. https://www.osti.gov/servlets/purl/1464496.
@article{osti_1464496,
title = {ICON-A, the Atmosphere Component of the ICON Earth System Model: I. Model Description},
author = {Giorgetta, Marco A. and Brokopf, R. and Crueger, T. and Esch, M. and Fiedler, S. and Helmert, J. and Hohenegger, C. and Kornblueh, L. and Kohler, M. and Manzini, E. and Mauritsen, T. and Nam, C. and Raddatz, T. and Rast, S. and Reinert, D. and Sakradzija, M. and Schmidt, H. and Schneck, R. and Schnur, R. and Silvers, L. and Wan, H. and Zangl, G. and Stevens, B.},
abstractNote = {ICON-A is the new icosahedral non-hydrostatic (ICON) atmospheric general circulation model in a configuration using the Max Planck Institute (MPI) physics package, which originates from the ECHAM6 general circulation model, and has been adapted to account for the changed dynamical core framework. The coupling scheme between dynamics and physics employs a sequential updating by dynamics and physics, and a fixed sequence of the physical processes similar to ECHAM6. To allow a meaningful initial comparison between ICON-A and the established ECHAM6-LR model, a setup with similar, low resolution in terms of number of grid points and levels is chosen. The ICON-A model is tuned on the base of the AMIP experiment aiming primarily at a well balanced top-of atmosphere energy budget to make the model suitable for coupled climate and Earth system modeling. The tuning addresses firstly the moisture and cloud distribution to achieve the top-of-atmosphere energy balance, followed by the tuning of the parameterized dynamic drag aiming at reduced wind errors in the troposphere. The resulting version of ICON-A has overall biases which are comparable to those of ECHAM6. Problematic specific biases remain in the vertical distribution of clouds and in the stratospheric circulation, where the winter vortices are too weak. Biases in precipitable water and tropospheric temperature are, however, reduced compared to the ECHAM6. ICON-A will serve as the basis of further development and as the atmosphere component to the coupled model, ICON-ESM.},
doi = {10.1029/2017MS001242},
journal = {Journal of Advances in Modeling Earth Systems},
number = 7,
volume = 10,
place = {United States},
year = {2018},
month = {6}
}
Web of Science
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