[G03-P] Poster

[G03-P-06] A novel approach to study ice mass change by integration of satellite data in Greenland and Antarctica

^○Mohammad Bagherbandi^{1, 2}, Hadi Amin¹, Nureldin Gido^{1, 2}, Lars E. Sjöberg² (1.Faculty of Engineering and Sustainable Development, University of Gävle, SE-801 76 Gävle, Sweden, 2.Division of Geodesy and Satellite Positioning, Royal Institute of Technology (KTH), SE-100 44 Stockholm, Sweden)

For the time being there is an exceptional opportunity of achieving simultaneous and complementary data from a multitude of geoscience and environmental near-Earth artificial satellites. These satellite missions allow significant contributions in understanding the climate change. There are many indications for climate change, e.g. sea level rise, ice melting and temperature change. Ice melting is one of the most important indicators in the context of global warming. Therefore, modelling of the Earth's mass distributions due to the ice melting and the temporal changes of such masses, are very important in studying sea level rise. Such study will improve our capability to understand, monitor and predict geophysical/geological processes which are affected by mass changes. The overall goal of this study is to specifically study Earth's surface mass changes due to ice melting in Greenland and Antarctica. The goals will be achieved by analyzing GRACE data, ICEsat data and integrating the results with other In-situ data. For this study we used the GRACE data during the years of 2003 to 2017 and then we determined the rate of the ice mass change, using time series analysis explained in Sjoberg and Bagherbandi (2017). Using the obtained ice melting rate from GRACE data we are able to model near Earth surface mass density changes, according to Sjoberg and Bagherbandi (ibid). Preliminary results show average surface mass changes are -413+-23.9 and 26+-5.9 kg/m^2 per year in Greenland and Antarctica, respectively. The changes will affect the sea level, hence the mass changes are compared with sea level rise obtained from satellite altimetry missions (e.g. Jason 1 and 2). Also the results will be verified by In-situ data like GLDAS (Global Land Data Assimilation System), land surface temperature (Rodell et al. 2004 and Swenson et al. 2006) and other remote sensing satellite missions such as the ICEsat mission.