Journal article

A new ice sheet model validated by remote senseing of the Greenland ice sheet

D Ren, R Fu, D Karoly, L Leslie, J Chen, C Wilson

Central European Journal of Geosciences | DE GRUYTER POLAND SP Z O O | Published : 2010

Abstract

Accurate prediction of future sea level rise requires models that accurately reproduce and explain the recent observed dramatic ice sheet behaviours. This study presents a new multi-phase, multiple-rheology, scalable and extensible geofluid model of the Greenland ice sheet that shows the credential of successfully reproducing the mass loss rate derived from the Gravity Recovery and Climate Experiment (GRACE), and the microwave remote sensed surface melt area over the past decade. Model simulated early 21st century surface ice flow compares satisfactorily with InSAR measurements. Accurate simulation of the three metrics simultaneously cannot be explained by fortunate model tuning and give us ..

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University of Melbourne Researchers

Grants

Awarded by National Science Foundation


Funding Acknowledgements

This work is supported by the Gary Comer Science Foundation. We thank Professors R. Alley for providing the GISP2 borehole data, R. Greve for offering the SICOPOLIS model code, and Van der Veen for providing the force balance model code. The first author also thanks Dr. Jezek for his insightful comments on the possible importance of the advection and inertial terms for the ice flow model. Ms. Otsu helped provided the NASA-JPL images of observed surface velocity. Ms. Molly from NSIDC provided technical assistance in using the remote sensing data. We acknowledge Ms. Jun Wang at NCEP for providing the reanalysis data. Transient climate simulations under SRES A1B were obtained from the PCMDI/CMIP project.