Research Highlights

2019

• Eyring, V. and coauthors, 2019: Taking Earth system model evaluation to the next level

2018

• Morcrette, C. J. and coauthors, 2018: Introduction to CAUSES project: Description of weather and climate models and their near-surface temperature errors near the Southern Great Plains.
• Ma, H.-Y. and coauthors, 2018: CAUSES: On the Role of Surface Energy Budget Errors to the Warm Surface Air Temperature Error Over the Central United States.
• Van Weverberg, K. and coauthors, 2018: CAUSES: Attribution of surface radiation biases in NWP and climate models near the US Southern Great Plains.
• Zhang, C. and coauthors, 2018: CAUSES: Diagnosis of the Summertime Warm Bias in CMIP5 Climate Models at the ARM Southern Great Plains Site.

2017

• T. J. Phillips, S. A. Klein, H.-Y. Ma, Q. Tang, S. Xie, I. N. Williams, J. A. Santanello, D. R. Cook, and M. S. Torn, 2017: Evaluating Land-Atmosphere Coupling in Model Simulations.
• Terai, C. R., P. M. Caldwell, S. A. Klein, Q. Tang, and M. L. Branstetter, 2017:Simulating the Global Water Cycle with A High Spatial-Resolution Climate Model.
• Zhang, Y., S. Xie, S. A. Klein, R. Marchand, P. Kollias, E. E. Clothiaux, W. Lin, K. Johnson, D. Swales, A. Bodas-Salcedo, S. Tang, J. Haynes, S. Collis, M. Jensen, N. Bharadwaj, J. Hardin, and B. Isom, 2017:ARM Cloud Radar Simulator: a New Tool for Bridging Field Data and Climate Model.
• Zheng, X., S. A. Klein, H.-Y. Ma, P. M. Caldwell, V. E. Larson, A. Gettelman, and P. Bogenschutz, 2017:A Newly Identified Cloud Oscillation in Atmospheric Model Simulations.

2016

• Zheng, X., S. A. Klein, H.-Y. Ma, P. Bogenschutz, A. Gettelman and V. E. Larson, 2016: ARM Azores Observations Help Identify Deficiencies in Climate Model Simulations of Low Clouds.

2015

• Chandra, A. S., C. Zhang, S. A. Klein, and H.-Y. Ma, 2015:How Well Are Shallow Convective Clouds Simulated in the CAM5 Model?
• Van Weverberg, K., C. J. Morcrette, H.-Y. Ma, S. A. Klein, and J. C. Petch, 2015: Regime Analysis to Identify the Contribution of Clouds to Surface Temperature Errors in GCMs.
• Ma, H.-Y., C. C. Chuang, S. A. Klein, M.-H. Lo, Y. Zhang, S. Xie, X. Zheng, P.-L. Ma, Y. Zhang, and T. J. Phillips, 2015: An improved hindcast approach for evaluation and diagnosis of physical processes in global climate models.

2014

• Barton, N. P., S.A. Klein, and J.S. Boyle , 2014: Evaluationg Arctic Lower Tropospheric Stability in Climate Models
• Ma, H.-Y., S. Xie, S. A. Klein, K. D. Williams, J. S. Boyle, S. Bony, H. Douville, S. Fermepin, B. Medeiros, S. Tyteca, M. Watanabe, and D. Williamson, 2014: Most Systematic Errors in Climate Models Appear in Only a Few Days of Model Integration Revealed by the Transpose-AMIP Hindcasts

2012

• Barton, N. P., S. A. Klein, J. S. Boyle, and Y. Zhang, 2012: Evaluating Arctic Clouds in Climate Models
• Ma H, S Xie, JS Boyle, SA Klein, and Y Zhang. 2012: Metrics and Diagnostics for Climate Model Short-Range Hindcasts
• Xie S, H Ma, JS Boyle, SA Klein, and Y Zhang, 2012: Many Forecast Errors Are Climate Errors.
• Zhao C, SA Klein, S Xie, X Liu, JS Boyle, and Y Zhang, 2012: CAM5 Shows Reasonable Aerosol First Indirect Effects on Non-Precipitating Low Liquid Clouds

2010

• Boyle JS and SA Klein, 2010: Impact of Horizontal Resolution on Climate Model Simulations of Tropical Moist Processes

2008

• J. Boyle,S. Klein,G. Zhang,S. Xie,X. Wei, 2008: Weather Forecasting in the Tropics with Climate Models Is Feasible
• Xie, S, J Boyle, SA Klein, X Liu, and S Ghan, 2008: ARM M-PACE Data Used to Evaluate and Improve Arctic Mixed-Phase Clouds Simulated in Climate Models

2006

• Klein, Stephen A., X. Jiang, J. Boyle, S. Malyshev, and S. Xie, 2006: Weather Forecasts Help to Understand Climate Model Biases

2004

• Phillips, T. J. G.L. Potter, D.L. Williamson, R.T. Cederwall, J.S. Boyle, M. Fiorino, J.J. Hnilo, J.G. Olson, S. Xie, J.J. Yio, 2004: Weather Prediction and Climate Simulation: a Meeting of the Models