Exact Averaging of Atmospheric State and Flow Variables

Exact Averaging of Atmospheric State and Flow Variables

A new set of averaging rules is put forward that exactly determines the means of air temperature, mixing ratio, and velocity by incorporating weighting factors in accordance with physical conservation laws. For the temperature and velocity, respectively, the means calculated according to these rules are shown to be in accordance with the gas law and the most fundamental definition from classica...

Exact model averaging with naive Bayesian classifiers

The naive classifier is a well-established mathematical model whose simplicity, speed and accuracy have made it a popular choice for classification in AI and engineering. In this paper we show that, given N features of interest, it is possible to perform tractable exact model averaging (MA) over all 2 possible feature-set models. In fact, we show that it is possible to calculate parameters for ...

Validation of remotely sensed profiles of atmospheric state variables: strategies and terminology

This paper summarizes and classifies the various approaches to validation of remote measurements of atmospheric state variables, and tries to recommend a clear and unambiguous terminology. The following approaches have been identified: Intercomparison of individual profiles for accuracy validation; statistical comparison of matched pairs of measurements with respect to bias determination and pr...

Linear instrumental variables model averaging estimation

Model averaging (MA) estimators in the linear instrumental variables regression framework are considered. The obtaining of weights for averaging across individual estimates by direct smoothing of selection criteria arising from the estimation stage is proposed. This is particularly relevant in applications in which there is a large number of candidate instruments and, therefore, a considerable ...

Exact and numerical solutions for nonlinear differential equation of Jeffrey-Hamel flow