Kirk L. Kroeker
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Abstract
Scientists say improvements to extreme-weather prediction are possible with new weather models and a reinvention of the modeling technologies used to process them.
- Govett, M., Middlecoff, J., and Henderson, T. Running the NIM next-generation weather model on GPUs, Proceedings of the IEEE/ ACM International Conference on Cluster, Cloud, and Grid Computing, Melbourne, Victoria, Australia, May 17-20, 2010. Google Scholar
Digital Library
- Henderson, T., Govett, M., Middlecoff, J., Madden, P., and Rosinski, J. Experiences applying Fortran GPU compilers to numerical weather prediction models, Proceedings of the 2010 Symposium on Application Accelerators in High Performance Computing, Knoxville, TN, July 13-15, 2010. Google ScholarDigital Library
- Stensrud, D.J., et. al. Convective-scale warn-on-forecast: A vision for 2020, Bulletin of the American Meteorological Society 90, 10, Oct. 2009.Google ScholarCross Ref
- Stensrud, D.J. and Gao, J. Importance of horizontally inhomogeneous environmental initial conditions to ensemble storm-scale radar data assimilation and very short range forecasts, Monthly Weather Review 138, 4, April 2010.Google ScholarCross Ref
- Yussouf, N. and Stensrud, D.J. Impact of high temporal frequency phased array radar data to storm-scale ensemble data assimilation using observation system simulation experiments, Monthly Weather Review 138, 2, Feb. 2010.Google ScholarCross Ref
Index Terms
- Modeling chaotic storms
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