Articles | Volume 7, issue 5
https://doi.org/10.5194/gmd-7-1961-2014
© Author(s) 2014. 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-7-1961-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Methods for assessment of models
| Highlight paper
| 
08 Sep 2014
Methods for assessment of models | Highlight paper |
| 08 Sep 2014
Short ensembles: an efficient method for discerning climate-relevant sensitivities in atmospheric general circulation models
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
Y. Qian
Pacific Northwest National Laboratory, Richland, WA, USA
H. Yan
Pacific Northwest National Laboratory, Richland, WA, USA
School of Atmospheric Sciences, Lanzhou University, Lanzhou, China
C. Zhao
Pacific Northwest National Laboratory, Richland, WA, USA
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46 citations as recorded by crossref.
- Assessing Parameter Importance of the Weather Research and Forecasting Model Based On Global Sensitivity Analysis Methods D. Ji et al. 10.1002/2017JD027348
- Evaluating Marine Stratocumulus Clouds in the CNRM‐CM6‐1 Model Using Short‐Term Hindcasts F. Brient et al. 10.1029/2018MS001461
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- An Objective and Efficient Method for Assessing the Impact of Reduced‐Precision Calculations On Solution Correctness S. Zhang et al. 10.1029/2019MS001817
- Numerically Relevant Timescales in the MG2 Microphysics Model S. Santos et al. 10.1029/2019MS001972
- Region and cloud regime dependence of parametric sensitivity in E3SM atmosphere model Y. Qian et al. 10.1007/s00382-023-06977-3
- Uncertainties in simulated El Niño–Southern Oscillation arising from internal climate variability C. Sun et al. 10.1002/asl.805
- Intercomparison of two model climates simulated by a unified weather-climate model system (GRIST), part I: mean state Z. Fu et al. 10.1007/s00382-024-07205-2
- Arctic budget study of intermember variability using HIRHAM5 ensemble simulations A. Sommerfeld et al. 10.1002/2015JD023153
- Sowing Storms: How Model Timestep Can Control Tropical Cyclone Frequency in a GCM C. Zarzycki 10.1029/2021MS002791
- The very-high-resolution configuration of the EC-Earth global model for HighResMIP E. Moreno-Chamarro et al. 10.5194/gmd-18-461-2025
- A multi-year short-range hindcast experiment with CESM1 for evaluating climate model moist processes from diurnal to interannual timescales H. Ma et al. 10.5194/gmd-14-73-2021
- Climate model forecast biases assessed with a perturbed physics ensemble D. Mulholland et al. 10.1007/s00382-016-3407-x
- Early Development and Tuning of a Global Coupled Cloud Resolving Model, and its Fast Response to Increasing CO2 T. Mauritsen et al. 10.16993/tellusa.54
- Quantifying uncertainty in simulations of the West African monsoon with the use of surrogate models M. Fischer et al. 10.5194/wcd-5-511-2024
- Comparing CAM5 and Superparameterized CAM5 Simulations of Summer Precipitation Characteristics over Continental East Asia: Mean State, Frequency–Intensity Relationship, Diurnal Cycle, and Influencing Factors Y. Zhang & H. Chen 10.1175/JCLI-D-15-0342.1
- Quantitative Sensitivity Analysis of Physical Parameterizations for Cases of Deep Convection in the NASA GEOS-5 D. Posselt et al. 10.1175/JCLI-D-15-0250.1
- PAGCM: A scalable parallel spectral‐based atmospheric general circulation model X. Ren et al. 10.1002/cpe.5290
- 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
- Machine Learning Predictions of a Multiresolution Climate Model Ensemble G. Anderson & D. Lucas 10.1029/2018GL077049
- Automatic tuning of the Community Atmospheric Model (CAM5) by using short-term hindcasts with an improved downhill simplex optimization method T. Zhang et al. 10.5194/gmd-11-5189-2018
- Investigation of short-term effective radiative forcing of fire aerosols over North America using nudged hindcast ensembles Y. Liu et al. 10.5194/acp-18-31-2018
- Impact of Nudging Strategy on the Climate Representativeness and Hindcast Skill of Constrained EAMv1 Simulations J. Sun et al. 10.1029/2019MS001831
- Representation by two climate models of the dynamical and diabatic processes involved in the development of an explosively deepening cyclone during NAWDEX D. Flack et al. 10.5194/wcd-2-233-2021
- Parametric Sensitivity and Uncertainty Quantification in the Version 1 of E3SM Atmosphere Model Based on Short Perturbed Parameter Ensemble Simulations Y. Qian et al. 10.1029/2018JD028927
- Resolution dependence of precipitation statistical fidelity in hindcast simulations T. O'Brien et al. 10.1002/2016MS000671
- Forced advection problems for testing transport schemes M. Zerroukat & T. Allen 10.1002/qj.3721
- Better calibration of cloud parameterizations and subgrid effects increases the fidelity of the E3SM Atmosphere Model version 1 P. Ma et al. 10.5194/gmd-15-2881-2022
- Sensitivity of Turbine-Height Wind Speeds to Parameters in Planetary Boundary-Layer and Surface-Layer Schemes in the Weather Research and Forecasting Model B. Yang et al. 10.1007/s10546-016-0185-2
- Quantifying and attributing time step sensitivities in present-day climate simulations conducted with EAMv1 H. Wan et al. 10.5194/gmd-14-1921-2021
- Cloud Process Coupling and Time Integration in the E3SM Atmosphere Model S. Santos et al. 10.1029/2020MS002359
- Investigation of the effect of the time step on the physics–dynamics interaction in CAM5 using an idealized tropical cyclone experiment X. Li et al. 10.1007/s00382-020-05284-5
- Short‐term time step convergence in a climate model H. Wan et al. 10.1002/2014MS000368
- Fast and Slow Responses of Atmospheric Energy Budgets to Perturbed Cloud and Convection Processes in an Atmospheric Global Climate Model B. Yang et al. 10.1029/2023GL104305
- Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High‐Resolution Simulations T. Schneider et al. 10.1002/2017GL076101
- A scalable parallel algorithm for atmospheric general circulation models on a multi-core cluster Y. Wang et al. 10.1016/j.future.2017.02.008
- Can nudging be used to quantify model sensitivities in precipitation and cloud forcing? G. Lin et al. 10.1002/2016MS000659
- A new and inexpensive non-bit-for-bit solution reproducibility test based on time step convergence (TSC1.0) H. Wan et al. 10.5194/gmd-10-537-2017
- Finding plausible and diverse variants of a climate model. Part 1: establishing the relationship between errors at weather and climate time scales D. Sexton et al. 10.1007/s00382-019-04625-3
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- The Art and Science of Climate Model Tuning F. Hourdin et al. 10.1175/BAMS-D-15-00135.1
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- Calibration and Uncertainty Quantification of a Gravity Wave Parameterization: A Case Study of the Quasi‐Biennial Oscillation in an Intermediate Complexity Climate Model L. Mansfield & A. Sheshadri 10.1029/2022MS003245
- The climate effects of increasing ocean albedo: an idealized representation of solar geoengineering B. Kravitz et al. 10.5194/acp-18-13097-2018
- Estudios de conectividad del paisaje en América Latina: retos de investigación E. Leija & M. Mendoza 10.21829/myb.2021.2712032
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