TY - JOUR
T1 - Equilibrium dynamics of ice streams
T2 - A Bayesian statistical analysis
AU - Berliner, L. M.
AU - Cressie, N.
AU - Jezek, K.
AU - Kim, Y.
AU - Lam, C. Q.
AU - Van Der Veen, C. J.
PY - 2008/5
Y1 - 2008/5
N2 - Studies of the behaviors of glaciers, ice sheets, and ice streams rely heavily on both observations and physical models. Data acquired via remote sensing provide critical information on geometry and movement of ice over large sections of Antarctica and Greenland. However, uncertainties are present in both the observations and the models. Hence, there is a need for combining these information sources in a fashion that incorporates uncertainty and quantifies its impact on conclusions. We present a hierarchical Bayesian approach to modeling ice-stream velocities incorporating physical models and observations regarding velocity, ice thickness, and surface elevation from the North East Ice Stream in Greenland. The Bayesian model leads to interesting issues in model assessment and computation.
AB - Studies of the behaviors of glaciers, ice sheets, and ice streams rely heavily on both observations and physical models. Data acquired via remote sensing provide critical information on geometry and movement of ice over large sections of Antarctica and Greenland. However, uncertainties are present in both the observations and the models. Hence, there is a need for combining these information sources in a fashion that incorporates uncertainty and quantifies its impact on conclusions. We present a hierarchical Bayesian approach to modeling ice-stream velocities incorporating physical models and observations regarding velocity, ice thickness, and surface elevation from the North East Ice Stream in Greenland. The Bayesian model leads to interesting issues in model assessment and computation.
KW - Hierarchical Bayesian analysis
KW - Importance sampling
KW - Markov chain Monte Carlo
UR - http://www.scopus.com/inward/record.url?scp=42449124756&partnerID=8YFLogxK
U2 - 10.1007/s10260-007-0077-1
DO - 10.1007/s10260-007-0077-1
M3 - Article
AN - SCOPUS:42449124756
SN - 1618-2510
VL - 17
SP - 145
EP - 165
JO - Statistical Methods and Applications
JF - Statistical Methods and Applications
IS - 2
ER -