Parallel Post-Processing of the Earth Climate Model Output
| Autor: | Gijs van den Oord, Rena Bakhshi |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Speedup
010504 meteorology & atmospheric sciences Computer science Workload Parallel computing Thread (computing) Python (programming language) 010502 geochemistry & geophysics Numerical weather prediction 01 natural sciences General Earth and Planetary Sciences Climate model computer 0105 earth and related environmental sciences General Environmental Science computer.programming_language |
| Zdroj: | ICCS |
| ISSN: | 1877-0509 |
| Popis: | The increasing resolution of climate and weather models has resulted in a fast growth of their data production. This calls for a modern and efficient approach to the post-processing of these data. To this end, we have developed a new software package in Python that exploits the parallel nature of the post-processing workload to process the output of EC-Earth, a coupled atmosphere-ocean model. We describe the design of our post-processing package, and present benchmark results showing the achieved speedup with increasing the number of parallel threads. |
| Databáze: | OpenAIRE |
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