The intrinsic and practical predictability of the Martian atmosphere is determined by use of a comprehensive numerical circulation model and ensemble forecasting techniques. Initial conditions were derived for various seasons of the Martian climate from newly available assimilations of global observations of temperature and dust optical depth in the Martian atmosphere, obtained by the Thermal E...

Forecasts of wind power production are increasingly being used in various management tasks. So far, such forecasts and related uncertainty information have usually been generated individually for a given site of interest (either a wind farm or a group of wind farms), without properly accounting for the spatio-temporal dependencies observed in the wind generation field. However, it is intuitivel...

In this work, the use of adaptive filters for reducing forecast errors produced by a Regional Climate Model (RCM) is investigated. Seasonal forecasts are compared against reanalysis data provided National Centers Environmental Prediction. The used to train based on Recursive Least Squares algorithm in order reduce error. K-means unsupervised learning obtain number employ from climate variables....

We introduce a set of test statistics for assessing the presence regimes in out sample forecast errors produced by recursively estimated linear predictive regressions that can accommodate multiple highly persistent predictors. Our are designed to be robust chosen starting window size and shown both consistent locally powerful. Their limiting null distributions also free nuisance parameters henc...

Enrichment of ordinary monads over Cat or Gpd is fundamental to Max Kelly’s unified theory of coherence for categories with structure. So here, we investigate existence and unicity of enrichments of ordinary func­ tors, natural transformations, and hence also monads, over Cat and Gpd. We show that every ordinary natural transformation between 2-functors whose domain 2-category has either tensor...