EventsThe 1st International Electronic Conference on Atmospheric Sciences
Published
This submission belongs to the session D. Climate and Interannual Variability of the event The 1st International Electronic Conference on Atmospheric Sciences
Published date
15 Jul, 2016
Citation
Marta Vázquez, Raquel Nieto, Anita Drumond, Luis Gimeno, Extreme Sea Ice Loss over the Arctic: An Analysis Based on Anomalous Moisture Transport, in Proceedings of The 1st International Electronic Conference on Atmospheric Sciences, 16 July–31 July 2016, MDPI: Basel, Switzerland, doi: 10.3390/ecas2016-D003
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Extreme Sea Ice Loss over the Arctic: An Analysis Based on Anomalous Moisture Transport

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1. Environmental Physics Laboratory (EPhysLab), Facultade de Ciencias, Universidad de Vigo, Ourense, Spain.
2. Department of Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences, University of São Paulo, São Paulo, Brazil
Abstract

Recently, the Arctic system has been suffering an extreme reduction in its sea ice extension. 2007 and 2012 represent those years showing the maximum sea ice loss. This rapid decrease has been suggested to have important implications on climate not only over the system itself but also globally. Understanding the causes of this sea ice loss is key to analyzing how future changes related to climate change can affect the Arctic system and the global system. For this purpose, we have applied the Lagrangian model FLEXPART to study the anomalous transport of moisture for these years and to analyze the implications on the sea ice it may produce. Throughout this model, we will analyze the variation in the sources of moisture for the system (backward analysis), and how the moisture supply from these sources is affected (forward analysis). From the results an anomalous transport of moisture have been proved to occur for both years. However, the pattern is different for each event, being the anomalous moisture supply different in both intensity and spatial distribution from every source.

Keywords
Arctic system
moisture supply
Lagrangian method
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