ABSTRACT Quantifying Climate Change: Bayesian Model for Antarctic Surface Mass Balance

• Main Author: Philip Andrew White
• Other Authors: The Pennsylvania State University CiteSeerX Archives
• Format: Text
• Language: English
• Published: 2014
• Subjects: Bayesian statistics; climate modeling; Gaussian process; global warming; Metropolis- Hastings; spatial statistics; surface mass balance; Antarctic; Hastings; The Antarctic; Antarc*; Ice Sheet
• Online Access: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.636.4675; http://www.physics.byu.edu/docs/thesis/397/

Because of the importance of Antarctic surface mass balance (SMB) in predicting sea level change, models are created to predict SMB on the Antarctic ice sheet. Using Favier et al.’s quality-controlled aggregate data set N = 3529, a fully Bayesian spatial model has been utilized to predict Antarctic...