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N. Cressie 449Wikle, C.K., Milliff, R.F., Nychka, D. and Berliner, L.M. (2001). Spatiotemporalhierarchical Bayesian modeling: Tropical ocean surface winds. Journalof the American Statistical Association, 96:382–397.Wunch, D., Ahonen, P., Biraud, S.C., Castano, R., Cressie, N., Crisp, D.,Deutscher, N.M., Eldering, A., Fisher, M.L., Griffith, D. W.T., Gunson,M., Wennberg, P.O., Heikkinen, P., Keppel-Aleks, G., Kyro, E., Lindenmaier,R., Macatangay, R., Mendonca, J., Messerschmidt, J., Miller, C.E.,Morino, I., Notholt, J., Toon, G.C., Oyafuso, F.A., Rettinger, M., Robinson,J., Roehl, C.M., Salawitch, R.J., Sherlock, V., Strong, K., Sussmann,R., Tanaka, T., Thompson, D.R., Connor, B.J., Uchino, O., Warneke, T.,Wofsy, S.C., Fisher, B., Osterman, G.B., Frankenberg, C., Mandrake,L., and O’Dell, C. (2011). A method for evaluating bias in global measurementsof CO2 total columns from space. Atmospheric Chemistry andPhysics, 11:12317–12337.Xue, Y., Vasic, R., Janjic, Z., Mesinger, F., and Mitchell, K.E. (2007). Assessmentof dynamic downscaling of the continental US regional climate usingthe Eta/SSiB regional climate model. Journal of Climate, 20:4172–4193.Zhang, J., Craigmile, P.F., and Cressie, N. (2008). Loss function approachesto predict a spatial quantile and its exceedance region. Technometrics,50:216–227.

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