Articles | Volume 6, issue 3
https://doi.org/10.5194/gmd-6-861-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-6-861-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
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
Pacific Northwest National Laboratory, Richland, WA, USA
P. J. Rasch
Pacific Northwest National Laboratory, Richland, WA, USA
K. Zhang
Pacific Northwest National Laboratory, Richland, WA, USA
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, CO, USA
NOAA Earth System Research Laboratory (ESRL), Boulder, CO, USA
L. R. Leung
Pacific Northwest National Laboratory, Richland, WA, USA
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- Quantifying and attributing time step sensitivities in present-day climate simulations conducted with EAMv1 H. Wan et al. 10.5194/gmd-14-1921-2021
- Impact of Physics Parameterization Ordering in a Global Atmosphere Model A. Donahue & P. Caldwell 10.1002/2017MS001067
- Improving Time Step Convergence in an Atmosphere Model With Simplified Physics: Using Mathematical Rigor to Avoid Nonphysical Behavior in a Parameterization C. Vogl et al. 10.1029/2019MS001974
- Better knowledge with more gauges? Investigation of the spatiotemporal characteristics of precipitation variations over the Greater Beijing Region W. Yang et al. 10.1002/joc.4579
- Bridging the (Knowledge) Gap between Physics and Dynamics M. Gross et al. 10.1175/BAMS-D-15-00103.1
- Aerosols in the E3SM Version 1: New Developments and Their Impacts on Radiative Forcing H. Wang et al. 10.1029/2019MS001851
- One Step at a Time: How Model Time Step Significantly Affects Convection‐Permitting Simulations A. Barrett et al. 10.1029/2018MS001418
- Comparison of particle number size distribution trends in ground measurements and climate models V. Leinonen et al. 10.5194/acp-22-12873-2022
- The MESSy aerosol submodel MADE3 (v2.0b): description and a box model test J. Kaiser et al. 10.5194/gmd-7-1137-2014
- Intercomparison of the weather and climate physics suites of a unified forecast–climate model system (GRIST-A22.7.28) based on single-column modeling X. Li et al. 10.5194/gmd-16-2975-2023
- Cloud Process Coupling and Time Integration in the E3SM Atmosphere Model S. Santos et al. 10.1029/2020MS002359
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- Importance of microphysical settings for climate forcing by stratospheric SO2 injections as modeled by SOCOL-AERv2 S. Vattioni et al. 10.5194/gmd-17-4181-2024
- What is the limit of climate engineering by stratospheric injection of SO2? U. Niemeier & C. Timmreck 10.5194/acp-15-9129-2015
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19 citations as recorded by crossref.
- Predicted Land Carbon Dynamics Are Strongly Dependent on the Numerical Coupling of Nitrogen Mobilizing and Immobilizing Processes: A Demonstration with the E3SM Land Model J. Tang & W. Riley 10.1175/EI-D-17-0023.1
- Dependency of the impacts of geoengineering on the stratospheric sulfur injection strategy – Part 1: Intercomparison of modal and sectional aerosol modules A. Laakso et al. 10.5194/acp-22-93-2022
- Quantifying and attributing time step sensitivities in present-day climate simulations conducted with EAMv1 H. Wan et al. 10.5194/gmd-14-1921-2021
- Impact of Physics Parameterization Ordering in a Global Atmosphere Model A. Donahue & P. Caldwell 10.1002/2017MS001067
- Improving Time Step Convergence in an Atmosphere Model With Simplified Physics: Using Mathematical Rigor to Avoid Nonphysical Behavior in a Parameterization C. Vogl et al. 10.1029/2019MS001974
- Better knowledge with more gauges? Investigation of the spatiotemporal characteristics of precipitation variations over the Greater Beijing Region W. Yang et al. 10.1002/joc.4579
- Bridging the (Knowledge) Gap between Physics and Dynamics M. Gross et al. 10.1175/BAMS-D-15-00103.1
- Aerosols in the E3SM Version 1: New Developments and Their Impacts on Radiative Forcing H. Wang et al. 10.1029/2019MS001851
- One Step at a Time: How Model Time Step Significantly Affects Convection‐Permitting Simulations A. Barrett et al. 10.1029/2018MS001418
- Comparison of particle number size distribution trends in ground measurements and climate models V. Leinonen et al. 10.5194/acp-22-12873-2022
- The MESSy aerosol submodel MADE3 (v2.0b): description and a box model test J. Kaiser et al. 10.5194/gmd-7-1137-2014
- Intercomparison of the weather and climate physics suites of a unified forecast–climate model system (GRIST-A22.7.28) based on single-column modeling X. Li et al. 10.5194/gmd-16-2975-2023
- Cloud Process Coupling and Time Integration in the E3SM Atmosphere Model S. Santos et al. 10.1029/2020MS002359
- Description and evaluation of a secondary organic aerosol and new particle formation scheme within TM5-MP v1.2 T. Bergman et al. 10.5194/gmd-15-683-2022
- Impact of numerical choices on water conservation in the E3SM Atmosphere Model version 1 (EAMv1) K. Zhang et al. 10.5194/gmd-11-1971-2018
- Numerical coupling of aerosol emissions, dry removal, and turbulent mixing in the E3SM Atmosphere Model version 1 (EAMv1) – Part 1: Dust budget analyses and the impacts of a revised coupling scheme H. Wan et al. 10.5194/gmd-17-1387-2024
- Importance of microphysical settings for climate forcing by stratospheric SO2 injections as modeled by SOCOL-AERv2 S. Vattioni et al. 10.5194/gmd-17-4181-2024
- What is the limit of climate engineering by stratospheric injection of SO2? U. Niemeier & C. Timmreck 10.5194/acp-15-9129-2015
- Numerical coupling of aerosol emissions, dry removal, and turbulent mixing in the E3SM Atmosphere Model version 1 (EAMv1) – Part 2: A semi-discrete error analysis framework for assessing coupling schemes C. Vogl et al. 10.5194/gmd-17-1409-2024
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