MMM In the News

Scientists have found that internal variability can make one season twice as active as another, even when large-scale hurricane-shaping elements are unchanged. The research suggests that seasonal hurricane forecasts could be improved by conveying the amount of unavoidable uncertainty in the outlook.

Weather Research & Forecasting

The Weather Research and Forecasting (WRF) Model is a next-generation mesoscale numerical weather prediction system designed to serve both atmospheric research and operational forecasting needs. For the current WRF forecast for today's weather, please click here.

Upcoming Visitors

Steve Conley, University of California, Davis, 2013-Jan-01 (Don Lenschow)
Wenxue Tong, Florida State University, 2013-Jan-01 (Jenny Sun)
Karina Apodaca, Colorado State University, 2013-Feb-04 (Tom Auligne)
Milija Zupanski, Colorado State University, 2013-Feb-04 (Tom Auligne)
Weimin Ma, Jiangyin Meteorological Bureau, 2013-Jun-26 (Zhiquan Liu)

Events & Seminars

Thursday, September 4, 2014 - 3:30pm: Introducing libmpdata++ and libcloudph++ - Reusable Software for Atmospheric Modelling with Sylwester Arabas - FL2 1022 [NCAR, NESL, MMM]
Tuesday, September 9, 2014 - 3:30pm: A Year-Long Continuous Large Eddy Simulation Centered Around the CABAUW Observational Site with Harm Jonker - FL2 1022 [NCAR, NESL, MMM]

Publications

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Santos-Alamillos, F.J., D. Pozo-Vázquez, J.A. Ruiz Arias, V. Lara-Fanego, and J. Tovar-Pescador, 2014: A methodology for evaluating the spatial variability of wind energy resources: Application to assess the potential contribution of wind energy to baseload power. Renewable Energy, 69, 147-156, DOI: 10.1016/j.renene.2014.03.006.
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Stern, D., J.R. Brisbois, and D.S. Nolan, 2014: An expanded dataset of hurricane eyewall sizes and slopes. Journal of the Atmospheric Sciences, 71, 2747-2762., DOI: 10.1175/JAS-D-13-0302.1.
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Ortega, J., A.A. Turnipseed, A.B. Guenther, T. Karl, D.A. Day, D.J. Gochis, J.A. Huffman, A.J. Prenni, E.J. Levin, S.M. Kreidenweis, P.J. DeMott, Y. Tobo, E. Patton, A. Hodzic, Y. Cui, P. Harley, R. Hornbrook, E.C. Apel, R.K. Monson, A.S. Eller, J.P. Greenberg, M. Barth, P. Campuzano-Jost, B.B. Palm, J.L. Jimenez, A.C. Aiken, M.K. Dubey, C. Geron, J. Offenberg, M.G. Ryan, P.J. Fornwalt, S.C. Pryor, F.N. Keutsch, J.P. DiGangi, A.W. Chan, A.H. Goldstein, G.M. Wolfe, S. Kim, L. Kaser, R. Schnitzhofer, A. Hansel, C.A. Cantrell, R.L. Mauldin, and J.N. Smith, 2014: Overview of the Manitou Experimental Forest Observatory: Site description and selected science results from 2008-2013. Atmospheric Chemistry and Physics, 14, 6345-6367, DOI: 10.5194/acp-14-6345-2014.
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