Michael L. Pieper

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Remote measurements of Earth's atmospheric state using microwave and infrared wavelengths have been carried out for many years [1, 2]. Physical considerations involving the use of these spectral regions include the relatively high cloud-penetrating capability at microwave wavelengths and the relatively sharp weighting functions at infrared wavelengths,(More)
We introduce a new hyperspectral microwave remote sensing modality for atmospheric sounding, driven by recent advances in microwave device technology that now permit receiver arrays that can multiplex multiple broad frequency bands into more than ~100 spectral channels, thus improving both the vertical and horizontal resolution of the retrieved atmospheric(More)
Neural networks are developed for estimating the rms accuracy profiles of individual infrared and microwave atmospheric temperature and humidity profile retrievals, thus potentially significantly improving their assimilation into numerical weather prediction models. Currently most assimilation processes compute retrieval variances or error-covariance(More)
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