Application of multichannel singular spectrum analysis to geophysical fields and astronomical images

Abstract

The results of application of the multichannel singular spectrum analysis (MSSA) to the Earth monitoring data from Jason, GRACE and Aqua satellites are presented. The method helps to divide periodic components, separate trend, filter out noises and distinguish patterns of similar spatiotemporal behaviour. Increase of CO₂ concentration in troposphere by ∼ 2 ppm/yr, sea level by ∼ 3 mm/year, melting of ice sheets and glaciers are clearly seen, that proofs we are living in the epoch of global warming. We also applied MSSA to the series of astronomical images from MASTER robotic telescope and found it as a powerful method for denoising, finding low luminosity stars and detecting variable objects.