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Title: Final technical report for Decadal Prediction and Stochastic Simulation of Hydroclimate over Monsoonal Asia

This is the final technical report for a DOE-funded research project on the development of statistical modeling techniques for stochastic simulation of precipitation data
Authors:
 [1]
  1. Univ. of California, Irvine, CA (United States)
Publication Date:
OSTI Identifier:
1241554
Report Number(s):
SC-UCI--0006619
DOE Contract Number:
SC0006619
Resource Type:
Technical Report
Resource Relation:
Related Information: A. Greene, T. Holsclaw, A. Robertson, P. Smyth, A Bayesian multivariate nonhomogeneous Markov model, in Machine Learning and Data Mining Approaches to Climate Science, Springer, pp.61-69, 2015.
Research Org:
University of California, Irvine, CA (United States)
Sponsoring Org:
USDOE Office of Science (SC)
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES precipitation; statistical models; Bayesian methods