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Prediction of minimum temperatures in an alpine region by linear and non-linear post-processing of meteorological models
minimum temperatures alpine region linear and non-linear post-processing meteorological models
2009/11/3
Model Output Statistics (MOS) refers to a method of post-processing the direct outputs of numerical weather prediction (NWP) models in order to reduce the biases introduced by a coarse horizontal reso...
A practical demonstration on AMSU retrieval precision for upper tropospheric humidity by a non-linear multi-channel regression method
AMSU retrieval precision upper tropospheric humidity non-linear multi-channel regression method
2009/2/6
A neural network algorithm inverting selected channels from the Advance Microwave Sounding Unit instruments AMSU-A and AMSU-B was applied to retrieve layer averaged relative humidity. The neural netwo...
Non-linear statistical downscaling of present and LGM precipitation and temperatures over Europe
Non-linear statistical LGM Europe
2008/11/7
Local-scale climate information is increasingly needed for the study of past, present and future climate changes. In this study we develop a non-linear statistical downscaling method to generate local...