North American Multi-Model Ensemble

NMME (North-American Multi-Model Ensemble) is to improve intra-seasonal to interannual (ISI) operational predictions based on the leading US and Canada climate models.

Publications

2017

Data Analyses and Applications

Rebecca A. Bolinger, Andrew D. Gronewold, Keith Kompoltowicz, and Lauren M. Fry, 2017: Application of the NMME in the Development of a New Regional Seasonal Climate Forecast Tool. Bull. Amer. Meteor. Soc.98, 555-564.  doi: 10.1175/BAMS-D-15-00107.1

Li-Chuan Gwen Chen, and Huug van den Dool, 2017: Combination of Multimodel Probabilistic Forecasts Using an Optimal Weighting System. Wea. Forecasting, 32, 1967–1987. doi: 10.1175/WAF-D-17-0074.1

Li-Chuan Chen, Huug van den Dool, Emily Becker, and Qin Zhang, 2017: ENSO Precipitation and Temperature Forecasts in the North American Multimodel Ensemble: Composite Analysis and Validation. J. Climate, 30, 1103–1125. doi: 10.1175/JCLI-D-15-0903.1

Renaud Barbero, John T. Abatzoglou, and Katherine C. Hegewisch, 2017: Evaluation of Statistical Downscaling of North American Multimodel Ensemble Forecasts over the Western United States. Wea. Forecasting, 32, 327-341. DOI: 10.1175/WAF-D-16-0117.1

N. Wanders, A. Bachas, X. G. He, H. Huang, A. Koppa, Z. T. Mekonnen, B. R. Pagán, L. Q. Peng, N. Vergopolan, K. J. Wang, M. Xiao, S. Zhan, D. P. Lettenmaier, and E. F. Wood, 2017: Forecasting the Hydroclimatic Signature of the 2015/16 El Niño Event on the Western United States. J. Hydrometeor., 18, 177-186.  DOI: 10.1175/JHM-D-16-0230.1

Timothy DelSole and Arindam Banerjee, 2017: Statistical Seasonal Prediction Based on Regularized Regression. J. Climate, 30, 1345-1361. DOI: 10.1175/JCLI-D-16-0249.1

Zengchao Hao, Xing Yuan, Youlong Xia, Fanghua Hao, and Vijay P. Singh, 2017: An overview of drought monitoring and prediction systems at regional and global scales. Bull. Amer. Meteor. Soc. , e-View, DOI: 10.1175/BAMS-D-15-00149.1

Huug van den Dool, Emily Becker, Li-Chuan Chen, and Qin Zhang, 2017: The Probability Anomaly Correlation and Calibration of Probabilistic Forecasts. Wea. Forecasting, 32, 199-206. DOI: 10.1175/WAF-D-16-0115.1

Saleh Satti, Benjamin F. Zaitchik, Hamada S. Badr, and Tsegaye Tadesse, 2017: Enhancing dynamical seasonal predictions through objective regionalization. J. Appl. Meteor. Climatol. e-View, DOI: 10.1175/JAMC-D-16-0192.1

Liwei Jia, Xiaosong Yang, Gabriel Vecchi, Richard Gudgel, Thomas Delworth, Stephan Fueglistaler, Pu Lin, Adam A. Scaife, Seth Underwood, and Shian-Jiann Lin, 2017: Seasonal Prediction Skill of Northern Extratropical Surface Temperature Driven by the Stratosphere. J. Climate, e-View, DOI: 10.1175/JCLI-D-16-0475.1

Louise Arnal, Andrew W. Wood, Elisabeth Stephens, Hannah L. Cloke, and Florian Pappenberger, 2017: An Efficient Approach for Estimating Streamflow Forecast Skill Elasticity. J. Hydrometeor., e-View, DOI: 10.1175/JHM-D-16-0259.1

Model and System Improvements

Jessie C. Carman, Daniel P. Eleuterio, Timothy C. Gallaudet, Gerald L. Geernaert, Patrick A. Harr, Jack A. Kaye, David H. McCarren, Craig N. McLean, Scott A. Sandgathe, Frederick Toepfer, and Louis W. Uccellini, 2017: The National Earth System Prediction Capability: Coordinating the Giant. Bull. Amer. Meteor. Soc., 98, 239-252. DOI:10.1175/BAMS-D-16-0002.1

 

(Updated on 4/20/2017)                                                                                          2017   2016   2015   2014   2012-13