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Towards a QuikSCAT quality control indicator: rain detection
A good assessment of the information content of scatterometer winds is particularly important in ...
M Portabella, A Stoffelen | Conference: EOS/SPIE symposium on Remote Sensing of the Ocean and Sea Ice | Organisation: SPIE | Place: Barcelona, Spain | Year: 2000 | First page: 177 | Last page: 180
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Scatterometer backscatter uncertainty due to wind variability
Wind retrieval from scatterometer backscatter measurements is not trivial. A good assessment of t...
M Portabella, A Stoffelen | Status: published | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 44 | Year: 2006 | First page: 3356 | Last page: 3362 | doi: 10.1109/TGRS.2006.877952
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Vergelijking van thermometerhutten
Voor de operationele temperatuur- en vochtmetingen is het KNMI begin jaren negentig van de 20ste ...
T Brandsma | Journal: Meteorologica | Volume: 16 | Year: 2007 | First page: 21 | Last page: 25
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Variational Ambiguity Removal for the Scatterometer on-line Processing
IFREMER's Department of Oceanography from Space has developed specific softwares for on-line and ...
Y Quilfen | Year: 2000
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Statistical Postprocessing of Wind Speed Forecasts Using Convolutional Neural Networks
Current statistical postprocessing methods for probabilistic weather forecasting are not capable ...
Veldkamp, S., Whan, K., Dirksen, S., and Schmeits, M. | Journal: Monthly Weather Review | Volume: 149 | Year: 2021 | First page: 1141 | Last page: 1152 | doi: 10.1175/MWR-D-20-0219.1
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