Abstract
Numerical Weather Prediction models (NWP) used for operational weather forecasting are typically run at predetermined times at a predetermined resolution and a fixed geographical region. The period between each run is a function of waiting for observational data and the availability of compute resources. The resolution is a function of the geographical region, the available processing power and operational forecasting time constraints. The geographical region is defined by being a region with known need or interest for forecasts. These characteristics make it hard to interactively produce and visualize on-demand high-resolution forecasts for a small and arbitrarily located region. This paper documents a system achieving this, using a high-resolution tiled 22 mega pixel display wall, a 16 node PC cluster and a HP BL 460c blade server with two quad core processors. We document the performance characteristics experimentally. The results show that using 10 km resolution background data, the system produces a 6 hour forecast for a 117 x 123 km small region with 3 km resolution, in 3 minutes. Visualizing the forecast takes between 3 - 75 seconds. An informal survey among operational forecasters indicate that the majority is willing to wait up to 3 minutes for higher resolution forecasts. This paper identifies and documents some of the bottlenecks and computational challenges created by combining interactivity and traditional batch oriented computing. The main bottlenecks in the system are identified as the execution time of the NWP and the preparation of data for visualization.
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References
ECMWF, European Center for Medium Range Weather Forecasting, http://dataportal.ecmwf.int/data/d/interim_daily/
The WRF model, http://www.wrf-model.org
WRF Real Time Forecasting, http://wrf-model.org/plots/wrfrealtime.php
The Stallo cluster (2010), http://docs.notur.no/uit/stallo_documentation/user_guide/key-numbers-about-stallo
Eidsvik, K., Holstad, A., Lie, I., Utnes, T.: A prediction system for local wind variations in mountainous terrain. Boundary-Layer Meteorology 112(3), 557–586 (2004), http://dx.doi.org/10.1023/B:BOUN.0000030561.25252.9e
Fjukstad, B., Anshus, O., Bjørndalen, J.: High resolution numerical models on a Display Wall. In: The 7th Annual Meeting of the European Meteorological Society (EMS) and the 8th European Conference on Applications of Meteorology (2007)
Hagen, T.M.S., Stødle, D., Anshus, O.: On-demand high-performance visualization of spatial data on high-resolution tiled display walls. In: Proceedings of the International Conference on Information Visualization Theory and Applications, pp. 112–119 (2010)
Michalakes, J.: (2003), http://www.cisl.ucar.edu/dir/CAS2K3/CAS2K3
Michalakes, J., Vachharajani, M.: Gpu acceleration of numerical weather prediction. In: IEEE International Symposium on Parallel and Distributed Processing, IPDPS 2008, pp. 1–7 (April 2008)
Midtbø, K., Bremnes, J.B., Homleid, M., Ødegaard, V.: Verification of wind forecasts for the airports hammerfest, honningsvåg, sandnessjøen, ørsta, værnes, sandane and narvik (2008), http://met.no/Forskning/Publikasjoner/metno_report/2008/filestore/report02_20081.pdf
Stødle, D., Troyanskaya, O., Li, K., Anshus, O.J.: Tech-note: Device-Free Interaction Spaces. In: 3DUI 2009: Proceedings of the IEEE Symposium on 3D User Interfaces, pp. 39–42 (March 2009)
Wallace, G., Anshus, O.J., Bi, P., Chen, H., Chen, Y., Clark, D., Cook, P., Finkelstein, A., Funkhouser, T., Gupta, A., Hibbs, M., Li, K., Liu, Z., Samanta, R., Sukthankar, R., Troyanskaya, O.: Tools and applications for large-scale display walls. IEEE Comput. Graph. Appl. 25(4), 24–33 (2005)
Wilhelmson, R., Alameda, J., Rossi, A., Hampton, S., Jewett, B., Weber, D., Thomas, K., Wang, Y., Droegemeier, K.: Lead: Automatic triggering of high resolution forecasts in response to severe weather indications from the noaa storm prediction center. Urbana 51, 61801
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Fjukstad, B., Hagen, TM.S., Stødle, D., Ha, P.H., Bjørndalen, J.M., Anshus, O. (2012). Interactive Weather Simulation and Visualization on a Display Wall with Many-Core Compute Nodes. In: Jónasson, K. (eds) Applied Parallel and Scientific Computing. PARA 2010. Lecture Notes in Computer Science, vol 7133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28151-8_14
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DOI: https://doi.org/10.1007/978-3-642-28151-8_14
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