A Bayesian approach to compare observed rainfall data to deterministic simulations

Environmetrics

Volumn 15, Issue 6, 2004, Pages 597-612

  Sansó, Bruno ^a   Guenni, Lelys ^b  

^a University of California Santa Cruz   (United States)

^b NONE

Author keywords

Bayesian methods for climatology; Change of support models; Climate model variation

Indexed keywords

BAYESIAN ANALYSIS; CLIMATE MODELING; RAINFALL; SPATIAL VARIATION;

EID: 4544259894     PISSN: 11804009     EISSN: None     Source Type: Journal    
DOI: 10.1002/env.660     Document Type: Article

References (15)

1. Berger J, De Oliveira V, Sansó B. 2001. Objective Bayesian analysis of spatially correlated data. Journal of the American Statistical Association 96: 1361-1374.
2. Cressie NAC. 1993. Statistics for Spatial Data, Revised Edition. John Wiley and Sons: New York.
3. Fuentes M, Raftery A. 2001. Model validation and prediction from combined spatial data: via Bayesian melding. Technical Report, Statistics Department, North Carolina State University.
4. Gamerman D. 1997. Markov Chain Monte Carlo. Chapman & Hall; London UK.
5. Gelfand A, Zhu L, Carlin B. 2000. On the change of support problem for spatio-temporal data. Technical Report 2000-011, School of Public Health, University of Minnesota.
6. Giorgi F, Mearns LO. 1999. Introduction to special section: Regional climate modeling revisited. Journal of Geophysical Research - Atmospheres 104(D6): 6335-6352.
7. Liston GE, Pielke RA. 2001. A climate version of the regional atmospheric modeling system. Theory and Applied Climatology 68: 155-173.
8. Mearns LO, Bogardi I, Giorgi F, Matyasovszky I, Pakecki M. 1999. Comparison of climate change scenarios generated from regional climate model experiments and statistical downscaling. Journal of Geophysical Research - Atmospheres 104(D6): 6603-6622.
9. Murphy J. 1999. An evaluation of statistical and dynamical techniques for downscaling local climate. Journal of Climate 12: 2256-2284.
10. Richard J, Kirtman B, Laprise R, von Storch H, Wergen W. 2002. Atmospheric regional climate models (RCMs): a multiple purpose tool? Technical Report of the joint WGNE/WGCM ad hoc panel on Regional Climate Modelling http://w3g.gkss.de/Mitarbeiter/Storch/pdf/RCM.report.040302.pdf.
11. Rodríguez-Iturbe I, Mejía J. 1974. On the transformation of point rainfall to aerial rainfall. Water Resources Research 10: 729-735.
12. Sansó B, Guenni L. 1999. Venezuelan rainfall data analysed by using a Bayesian space-time model. Applied Statistics 48: 345-362.
13. Stein M. 1992. Prediction and inference for truncated spatial data. Journal of Computational and Graphical Statistics 1: 91-110.
14. Stein M. 1999. Interpolation of Spatial Data. Springer-Verlag: New York, USA.
15. Whittle P. 1954. On stationary processes in the plane. Biometrika 41: 434-449.