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Neural Network Training for Prediction of Climatological Time Series, Regularized by Minimization of the Generalized Cross-Validation Function
Publisher: American Meteorological Society
Abstract: Neural network (NN) training is the optimization process by which the relation between the NN input and output is established. A new formulation for the NN training is presented where an NN model is reconstructed such that ...
Enhancement and Error Estimation of Neural Network Prediction of Niño-3.4 SST Anomalies
Publisher: American Meteorological Society
Abstract: A procedure to enhance neural network (NN) predictions of tropical Pacific sea surface temperature anomalies and calculating their estimated errors is presented. A simple linear correction enables more accurate predictions ...
Eddy Activity Sensitivity to Changes in the Vertical Structure of Baroclinicity
Publisher: American Meteorological Society
Abstract: he relation between the mean meridional temperature gradient and eddy fluxes has been addressed by several eddy flux closure theories. However, these theories give little information on the dependence of eddy fluxes on the ...
The Effect of Vertical Baroclinicity Concentration on Atmospheric Macroturbulence Scaling Relations
Publisher: American Meteorological Society
Abstract: otivated by the expectation that under global warming upper-level meridional temperature gradients will increase while lower-level temperature gradients will decrease, the relations between the vertical structure of ...
Reformulation of Asphalt Cements for Paving
Publisher: American Society of Civil Engineers
Abstract: This paper summarizes research on the behavior of reformulated asphalt cements (AC) produced by different blending combinations of propane precipitated asphalt (PPA) and other petroleum-based components—soft asphalt residues ...
An Adaptive Nonlinear MOS Scheme for Precipitation Forecasts Using Neural Networks
Publisher: American Meteorological Society
Abstract: A novel neural network (NN)?based scheme performs nonlinear model output statistics (MOS) for generating precipitation forecasts from numerical weather prediction (NWP) model output. Data records from the past few weeks ...
A Deep Learning Model for Improved Wind and Consequent Wave Forecasts
Publisher: American Meteorological Society
Abstract: The paper presents a combined numerical–deep learning (DL) approach for improving wind and wave forecasting. First, a DL model is trained to improve wind velocity forecasts by using past reanalysis data. The improved wind ...
Eddy Sensitivity to Jet Characteristics
Publisher: American Meteorological Society
Abstract: AbstractThe atmosphere exhibits two distinct types of jets: the thermally driven subtropical jet and the more poleward eddy-driven jet. Depending on location and season, these jets are often merged or separated, and their ...
Modeling the Aeration Efficiency of a Passively Aerated Vertical-Flow Biological Filter
Publisher: American Society of Civil Engineers
Abstract: A model aimed at calculating the aeration efficiency of a passively aerated biological vertical bed unit is presented. The model allows the calculation of the mass of air that would flow via convection into the vertical ...
Challenges of Stadium Construction—Case Study
Publisher: American Society of Civil Engineers
Abstract: The distinctive design and construction requirements of an outdoor athletic stadium in Haifa, Israel, are described in this paper. This open-air stadium accommodates approximately 2,400 seats in its upper deck, while the ...
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