Cloud computing is a way suitable for large and complex numerical computing tasks and it is gradually accepted by various professional crowds. Meteorological and oceanic numeric modelling for weather and marine simulations and forecasts are often done in the cloud computing center. The models are special applied fluid dynamic models with not only various physic processes but also coupled modus, such as air-land, air-sea, sea current-waves, etc. When those coupled models are run in cloud computing platform, the time consuming will increase remarkably. As cloud computing users also need some green cloud computing methods to save the running time and to optimize computing procedure, and to reduce the energy consume. Due to the coupled model having non-uniform mode constructions, and the large data exchanging and transferring will occur between two kinds of coupled modus during the simulation, thus the reasonable storage space assignment and using become the important factors for model runners. For learning details of the influences caused by resources use of the coupled models in the cloud platform, a regional sea current and wave coupled model --- FVCOM-SWAVE is chosen as an example and a series test schemes are designed and done. The test experiments show some results that provide some illuminating suggestions for green cloud computing implement.
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