:BayesMET

(This page is under construction)

+ What's :BayesMet?

:BayesMET stands for "Bayesian Model Evaluation Tool". It is a new framework for evaluation of Regional Climate Models that I have been developing.

+ References

Veldore, V. and Mesquita, M.d.S. (2013) Arithmetics in R. Introduction to Applied Bayesian Statistics for Climate Research, www.m2lab.org. Veldore, V. and Mesquita, M.d.S. (2013) Reading data in R. Introduction to Applied Bayesian Statistics for Climate Research, www.m2lab.org. Veldore, V. and Mesquita, M.d.S. (2013) Plotting in R. Introduction to Applied Bayesian Statistics for Climate Research, www.m2lab.org. Mesquita, M.d.S. and Veldore, V. (2013) Calculating statistical quantities. Introduction to Applied Bayesian Statistics for Climate Research, www.m2lab.org. Mesquita, M.d.S. and Veldore, V. (2013) Introduction to Bayesian statistics. Introduction to Applied Bayesian Statistics for Climate Research, www.m2lab.org. Mesquita, M.d.S. and Veldore, V. (2013) Calculating statistical quantities. Introduction to Applied Bayesian Statistics for Climate Research, www.m2lab.org. Mesquita, M.d.S. and Veldore, V. (2013) Bayesian inference for discrete random variables. Introduction to Applied Bayesian Statistics for Climate Research, www.m2lab.org. Mesquita, M.d.S. and Veldore, V. (2013) Calculating statistical quantities. Introduction to Applied Bayesian Statistics for Climate Research, www.m2lab.org. Veldore, V. and Mesquita, M.d.S. (2013) The Poisson distribution. Introduction to Applied Bayesian Statistics for Climate Research, www.m2lab.org. Mesquita, M.d.S. and Veldore, V. (2013) Bayes’ theorem: Poisson with discrete prior. Introduction to Applied Bayesian Statistics for Climate Research, www.m2lab.org. Veldore, V. and Mesquita, M.d.S. (2013) Introduction to continuous random variables. Introduction to Applied Bayesian Statistics for Climate Research, www.m2lab.org. Mesquita, M.d.S. and Veldore, V. (2013) The uniform prior. Introduction to Applied Bayesian Statistics for Climate Research, www.m2lab.org. Mesquita, M.d.S. and Veldore, V. (2013) Bayes’ theorem: Poisson with discrete prior. Introduction to Applied Bayesian Statistics for Climate Research, www.m2lab.org. Mesquita, M.d.S. and Veldore, V. (2013) The beta prior. Introduction to Applied Bayesian Statistics for Climate Research, www.m2lab.org. Mesquita, M.d.S. and Veldore, V. (2013) Summarizing the posterior distribution. Introduction to Applied Bayesian Statistics for Climate Research, www.m2lab.org. Mesquita, M.d.S. and Veldore, V. (2013) Continuous variables: the Poisson distribution. Introduction to Applied Bayesian Statistics for Climate Research, www.m2lab.org. Mesquita, M.d.S. and Veldore, V. (2013) Bayesian analysis of GCM output. Introduction to Applied Bayesian Statistics for Climate Research, www.m2lab.org. Mesquita, M.d.S. and Veldore, V. (2013) Bayesian analysis of GCM output: the REA package. Introduction to Applied Bayesian Statistics for Climate Research, www.m2lab.org. Mesquita, M.d.S. and Veldore, V. (2013) Bayesian analysis of RCM output: Mesquita et al. method. Introduction to Applied Bayesian Statistics for Climate Research, www.m2lab.org. Mesquita, M.d.S. and Veldore, V. (2013) Bayesian analysis of extremes. Introduction to Applied Bayesian Statistics for Climate Research, www.m2lab.org.

Mesquita, M.d.S. (2013) Introduction to Bayesian Statistics. UFRN Short Course, Introduction to Applied Bayesian Statistics for Climate Research, December 4-10, Natal, Brazil.

Mesquita, M.d.S. (2013) Introduction to R. UFRN Short Course, Introduction to Applied Bayesian Statistics for Climate Research, December 4-10, Natal, Brazil.

Mesquita, M.d.S. (2013) Bayes’ Theorem and Discrete Variables. UFRN Short Course, Introduction to Applied Bayesian Statistics for Climate Research, December 4-10, Natal, Brazil.

Mesquita, M.d.S. (2013) Discrete Variables Lab. UFRN Short Course, Introduction to Applied Bayesian Statistics for Climate Research, December 4-10, Natal, Brazil.

Mesquita, M.d.S. (2013) Continuous Variables: Uniform Prior. UFRN Short Course, Introduction to Applied Bayesian Statistics for Climate Research, December 4-10, Natal, Brazil.

Mesquita, M.d.S. (2013) Continous Variables: Beta Prior. UFRN Short Course, Introduction to Applied Bayesian Statistics for Climate Research, December 4-10, Natal, Brazil.

Mesquita, M.d.S. (2013) Bayesian Credible Interval. UFRN Short Course, Introduction to Applied Bayesian Statistics for Climate Research, December 4-10, Natal, Brazil.

Mesquita, M.d.S. (2013) Continuous Variables: Poisson Distribution. UFRN Short Course, Introduction to Applied Bayesian Statistics for Climate Research, December 4-10, Natal, Brazil.

Mesquita, M.d.S. (2013) Markov Chain Monte Carlo (MCMC): Metropolis algorithm. UFRN Short Course, Introduction to Applied Bayesian Statistics for Climate Research, December 4-10, Natal, Brazil.

Mesquita, M.d.S. (2013) Metropolis Algorithm Lab. UFRN Short Course, Introduction to Applied Bayesian Statistics for Climate Research, December 4-10, Natal, Brazil.

Mesquita, M.d.S. (2013) Markov Chain Monte Carlo (MCM): Gibbs Sampler. UFRN Short Course, Introduction to Applied Bayesian Statistics for Climate Research, December 4-10, Natal, Brazil.

Mesquita, M.d.S. (2013) Bayesian Hierarchical Models. UFRN Short Course, Introduction to Applied Bayesian Statistics for Climate Research, December 4-10, Natal, Brazil.

Mesquita, M.d.S. (2013) Challenges in Combining Climate Models. UFRN Short Course, Introduction to Applied Bayesian Statistics for Climate Research, December 4-10, Natal, Brazil.

Mesquita, M.d.S. (2013) Bayesian Inference with the Normal Distribution. UFRN Short Course, Introduction to Applied Bayesian Statistics for Climate Research, December 4-10, Natal, Brazil.

Mesquita, M.d.S. (2013) Bayesian Analysis of Global Climate Models. UFRN Short Course, Introduction to Applied Bayesian Statistics for Climate Research, December 4-10, Natal, Brazil.

Mesquita, M.d.S. (2013) Bayesian Analysis of Global Climate Models Lab. UFRN Short Course, Introduction to Applied Bayesian Statistics for Climate Research, December 4-10, Natal, Brazil.

Mesquita, M.d.S. (2013) Bayesian Analysis of Regional Climate Models. UFRN Short Course, Introduction to Applied Bayesian Statistics for Climate Research, December 4-10, Natal, Brazil.

Mesquita, M.d.S. (2013) Bayesian Analysis of Regional Climate Models Lab. UFRN Short Course, Introduction to Applied Bayesian Statistics for Climate Research, December 4-10, Natal, Brazil.

Mesquita, M.d.S. (2013) Bayesian Analysis of Climate Extremes. UFRN Short Course, Introduction to Applied Bayesian Statistics for Climate Research, December 4-10, Natal, Brazil.

Mesquita, M.d.S. (2013) Bayesian Analysis of Climate Extremes Lab. UFRN Short Course, Introduction to Applied Bayesian Statistics for Climate Research, December 4-10, Natal, Brazil.

Bruyere, C.L., Mesquita, M.d.S. and PaiMazumder, D. (2013) Predictability of Regional Climate: A Bayesian Approach to Analysing a WRF Model Ensemble. American Geophysical Union, Fall Meeting 2011, San Francisco, USA. Abstract GC13D-1117.

Mesquita, M.d.S. (2013) Introduction to Bayesian methods. Climate Tutorial, 2013 WRF Users’ Tutorial at NCAR, 26 July, Boulder, USA.

Veldore, V. and Mesquita, M.d.S. (2013) Multimodel Assessment of Temperature over Nepal using Regional Climate Models: a Bayesian Statistics Approach. AMOS National Conference 2013, 11-13 February, Melbourne, Australia. (Poster download)(Poster ref)

Mesquita, M.d.S. (2012) Lecture I - Introduction to Bayesian data analysis. TERI-BCCR Research School II, Beyond Regional Climate Modelling - Best Practices and New Insights. October 10, New Delhi, India.

Mesquita, M.d.S. (2012) Lab Practice I - Introduction to Bayesian data analysis. TERI-BCCR Research School II, Beyond Regional Climate Modelling - Best Practices and New Insights. October 10, New Delhi, India.

Mesquita, M.d.S. (2012) Lecture II - Introduction to Bayesian data analysis. TERI-BCCR Research School II, Beyond Regional Climate Modelling - Best Practices and New Insights. October 10, New Delhi, India.

Mesquita, M.d.S. (2012) Lab Practice II - Introduction to Bayesian data analysis. TERI-BCCR Research School II, Beyond Regional Climate Modelling - Best Practices and New Insights. October 10, New Delhi, India.

Mesquita, M.d.S. (2012) Lecture III - Analysis of multi-model ensembles using Bayesian probability theory. TERI-BCCR Research School II, Beyond Regional Climate Modelling - Best Practices and New Insights. October 10, New Delhi, India.

Mesquita, M.d.S. (2012) Lab Practice III - Analysis of multi-model ensembles using Bayesian probability theory. TERI-BCCR Research School II, Beyond Regional Climate Modelling - Best Practices and New Insights. October 10, New Delhi, India.

Mesquita, M.d.S., Ådlandsvik, B., Bruyère, C. and Sandvik, A.D. (2012) Bayesian assessment of horizontal resolution in limited-area-model simulations. Climate Change in High Latitudes, Bjerknes Centre 10th Anniversary Conference, 3-6 September 2012, Bergen, Norway on September 5. (Poster)

Mesquita, M.d.S. (2012) A Bayesian approach for evaluating regional climate models. Ten Lectures on Statistical Climatology, 6-10 August 2012, University of Washington, Seattle, USA. (Poster)

Mesquita, M.d.S., Ådlandsvik, B., Bruyère, C. and Sandvik, A. (2012) Bayesian assessment of horizontal resolution in a nested-domain WRF simulation. 13th Annual WRF Users' Workshop, 25-29 June 2012, Boulder, CO, USA. (Extended Abstract) (Poster)

Mesquita, M.d.S. (2012) An alternative approach for evaluating regional climate models using Bayesian Probability. ECRA: High Impact Events and Climate Change, Cambridge University, UK, on June 15.

Mesquita, M.d.S. (2012) Bayesian assessment of WRF tropical channel simulations. International Symposium on Climate Change, Impacts and Variabilities in Brazil: Preparing the Brazilian Northeast for the Future (CCIV2012), on May 30. (Invited talk)

Mesquita, M.d.S. (2012) Bayesian Assessment of WRF Tropical Channel Simulations. XCUBE Project kick-off meeting, May 22, Bergen, Norway.

+ For more information

If you would like to know more about :BayesMet, please, send me an email.