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Satellite-Based Snow Cover Analysis and the Snow Water Equivalent Retrieval Perspective over China
Author(s) -
Yubao Qiu,
Huadong Guo,
Jiancheng Shi,
Juha Lemmetyine
Publication year - 2012
Publication title -
intech ebooks
Language(s) - English
Resource type - Book series
DOI - 10.5772/32090
Subject(s) - snow cover , snow , perspective (graphical) , china , satellite , water equivalent , cover (algebra) , environmental science , remote sensing , meteorology , climatology , geography , computer science , geology , engineering , artificial intelligence , aerospace engineering , archaeology , mechanical engineering
Global changing is a great challenge that affects the nowadays world, even arises and becomes kinds of the political issues. The changing of the snow is not only a sensitive factor act as a driving force but can be influenced much in the global temperature variation, especially for the seasonal snow cover which is vastly distributed over the northern hemisphere. Snow cover influences the atmosphere and ocean, and therefore the climate system, through both direct and indirect effects (Judah, 1991). In the climate regime, the snow cover alters the surface energy and water circle in a global scale in the climate processing (Fg.1). From the IPCC (2001), the recent and anticipated reductions in snow cover due to future greenhouse warming are an important topic for the global change community. Large seasonal variations in snow cover are of importance on continental to hemispheric scales induces to investigate its natural variability in the climate-system forcing of such trends, versus possible anthropogenic influences (Roger, 2002). So, understanding the spatial pattern in the temporal variability of snow cover increase the current understanding of global climate change and provide a mechanism for exploring future trends ( Steve Vavrus, 2007) . As such, snow cover is an appropriate indicator of climate perturbations and may be a suitable surrogate for investigations of climate change (Serreze , 2000; IPCC, 2001; Roger, 2002; Wulder, 2007; IPCC AR4, 2007).

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