Fast Radiative Transfer Approximating Ice Hydrometeor Orientation and Its Implication on IWP Retrievals von Kaur, Inderpreet, Eriksson, Patrick, Barlakas, Vasileios, Pfreundschuh, Simon, Fox, Stuart

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Satellite measurements of rain over Brazil von Pfreundschuh, Simon

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Using passive and active observations at microwave and sub-millimetre wavelengths to constrain ice particle models von Ekelund, Robin, Eriksson, Patrick, Pfreundschuh, Simon

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The Chalmers Cloud Ice Climatology: retrieval implementation and validation von Amell, AdriÃ, Pfreundschuh, Simon, Eriksson, Patrick

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Ice water path retrievals from Meteosat-9 using quantile regression neural networks von Amell, AdriÃ, Eriksson, Patrick, Pfreundschuh, Simon

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Improving satellite measurements of clouds and precipitation using machine learning von Pfreundschuh, Simon

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GPROF-NN: a neural-network-based implementation of the Goddard Profiling Algorithm von Pfreundschuh, Simon, Brown, Paula J, Kummerow, Christian D, Eriksson, Patrick, Norrestad , Teodor

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GPROF V7 and beyond: assessment of current and potential future versions of the GPROF passive microwave precipitation retrievals against ground radar measurements over the continen... von Pfreundschuh, Simon, Guilloteau, Clément, Brown, Paula J, Kummerow, Christian D, Eriksson, Patrick

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First measurements of tides in the stratosphere and lower mesosphere by ground-based Doppler microwave wind radiometry von Hagen, Jonas, Hocke, Klemens, Stober, Gunter, Pfreundschuh, Simon, Murk, Axel, Kämpfer, Niklaus

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An experimental 2D-Var retrieval using AMSR2 von Duncan, David Ian, Eriksson, Patrick, Pfreundschuh, Simon

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A neural network approach to estimating a posteriori distributions of Bayesian retrieval problems von Pfreundschuh, Simon, Eriksson, Patrick, Duncan, David, Rydberg, Bengt, Håkansson, Nina, Thoss, Anke

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On the distinctiveness of observed oceanic raindrop distributions von Duncan, David Ian, Eriksson, Patrick, Pfreundschuh, Simon, Klepp, Christian, Jones, Daniel C

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An improved near-real-time precipitation retrieval for Brazil von Pfreundschuh, Simon, Ingemarsson, Ingrid, Eriksson, Patrick, Vila, Daniel A, Calheiros, Alan J. P

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Synergistic radar and radiometer retrievals of ice hydrometeors von Pfreundschuh, Simon, Eriksson, Patrick, Buehler, Stefan A, Brath, Manfred, Duncan, David, Larsson, Richard, Ekelund, Robin

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Can machine learning correct microwave humidity radiances for the influence of clouds? von Kaur, Inderpreet, Eriksson, Patrick, Pfreundschuh, Simon, Duncan, David Ian

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Synergistic radar and sub-millimeter radiometer retrievals of ice hydrometeors in mid-latitude frontal cloud systems von Pfreundschuh, Simon, Fox, Stuart, Eriksson, Patrick, Duncan, David, Buehler, Stefan A, Brath, Manfred, Cotton, Richard, Ewald, Florian

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Remote sensing of clouds and precipitation using active and passive microwave observations von Pfreundschuh, Simon

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Machine Learning Developments in ROOT von Bagoly, A, Bevan, A, Carnes, A, Gleyzer, S V, Moneta, L, Moudgil, A, Pfreundschuh, S, Stevenson, T, Wunsch, S, Zapata, O

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Gauge data used in 'An improved near-real-time precipitation retrieval for Brazil' by Pfreundschuh et al von Pfreundschuh, Simon

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WxC-Bench: A Novel Dataset for Weather and Climate Downstream Tasks von Shinde, Rajat, Phillips, Christopher E, Ankur, Kumar, Gupta, Aman, Pfreundschuh, Simon, Roy, Sujit, Kirkland, Sheyenne, Gaur, Vishal, Lin, Amy, Sheshadri, Aditi, Nair, Udaysankar, Maskey, Manil, Ramachandran, Rahul

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