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Conditional nonlinear optimal perturbation and its applications
Conditional nonlinear optimal perturbation applications
2009/11/12
Conditional nonlinear optimal perturbation (CNOP) is proposed to study the predictability of numerical weather and climate prediction. A simple coupled ocean-atmosphere model for ENSO is adopted as an...
Linear and nonlinear post-processing of numerically forecasted surface temperature
Linear and nonlinear post-processing numerically forecasted surface temperature
2009/11/12
In this paper we test different approaches to the statistical post-processing of gridded numerical surface air temperatures (provided by the European Centre for Medium-Range Weather Forecasts) onto th...
Nonlinear dimensionality reduction in climate data
Nonlinear dimensionality reduction climate data
2009/11/11
Linear methods of dimensionality reduction are useful tools for handling and interpreting high dimensional data. However, the cumulative variance explained by each of the subspaces in which the data s...
Testing the performance of three nonlinear methods of time seriesanalysis for prediction and downscaling of European daily temperatures
nonlinear methods time seriesanalysis European daily temperatures
2009/11/11
We investigated the usability of the method of local linear models (LLM), multilayer perceptron neural network (MLP NN) and radial basis function neural network (RBF NN) for the construction of tempor...
Nonlinear multivariable analysis of SOI and local precipitation and temperature
Nonlinear multivariable analysis SOI local precipitation and temperature
2009/11/9
Global climate variability affects important local hydro-meteorological variables like precipitation and temperature. The Southern Oscillation (SO) is an easily quantifiable major driving force that g...
Nonlinear correlations of daily temperature records over land
Nonlinear correlations daily temperature records
2009/11/9
We present a near global statistics on the correlation properties of daily temperature records. Data from terrestrial meteorological stations in the Global Daily Climatology Network are analyzed by me...