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First 890 results for ”J Haggerty”

1. Automatic curve extraction for digitizing rainfall strip charts

   A method has been developed that largely automates the labor-intensive extraction work for large ...

   HE van Piggelen, T Brandsma, H Manders, JF Lichtenauer | Status: published | Journal: J. Atm. Oceanic Technol. | Volume: 28 | Year: 2011 | First page: 891 | Last page: 906 | doi: 10.1175/2011JTECHA1505.1

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2. WINDS OBSERVED IN THE NORTHERN EUROPEAN SEAS WITH WIND LIDARS, METEOROLOGICAL MASTS AND SATELLITE

   Ocean winds have been observed in the Baltic, Irish and North Seas from a combination of ground-b...

   CB Hasager, D Stein, A Pena, S Hageman, T Mikkelsen, M Badger, A Mouche, L Karagali, ML Driesenaar, A Stoffelen, P Astrup, F Bingol, M Courtney, A Oldroyd | Conference: ICOWES2013 | Place: Lyngby, Sweden | Year: 2013 | First page: 9 | Last page: 0

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3. NWP calibration applied to Aeolus Mie channel winds

   Aeolus is the first Doppler wind lidar (DWL) to measure wind profiles from space. Aeolus is an ES...

   Gert-Jan Marseille, Jos de Kloe, Uwe Marksteiner, Oliver Reitebuch, Michael Rennie, Siebren de Haan | Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 148 | Year: 2022 | First page: 1020 | Last page: 1034 | doi: https://doi.org/10.1002/qj.4244

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4. Characterization of Aeolus Measurement Errors by Triple Collocation Analysis Over Western Europe

   The resolution of regional numerical weather prediction (NWP) models has continuously been increa...

   Federico Cossu, Marcos Portabella, Wenming Lin, Ad Stoffelen, Jur Vogelzang, Gert-Jan Marseille, Siebren de Haan | Journal: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium | Year: 2022 | doi: https://doi.org/10.1109/IGARSS46834.2022.9883249

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5. Future Space-Based Doppler Wind Lidar Winds

   The unique European Space Agency (ESA) Earth Explorer Aeolus Doppler Wind Lidar (DWL) is a succes...

   Ad Stoffelen, Gert-Jan Marseille, Tommaso Parinello, Oliver Reitebuch, Michael Rennie, Anne Grete Straume | Journal: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS | Year: 2021 | doi: https://doi.org/10.1109/IGARSS47720.2021.9554250

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