P1: Using data from the advance Himawari-8 (AHI) as a proxy to assess the performance of the GOES-R derived motion winds algorithm |
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Wayne Bresky
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P2: The status of development for AMV algorithm of Geo-KOMPSAT 2A |
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Tae-Myung Kim
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P3: Assimilation of LEO-GEO atmospheric motion vectors in GRAPES |
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Xiaomin Wan
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P4: Studying AMV errors with NWP SAF monitoring website |
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Francis Warrick
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3,000 KB
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P5: Comparison of AMV height assignment bias estimates from model best-fit pressures and lidar corrections |
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Kirsti Salonen, Kathrin Folger, Martin Weissmann, and Niels Bormann
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57 KB
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P6: AMV quality control method for the next generation geostationary satellite of Korea |
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Jae Hwan Kim
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P7: AMV research activities and progress at ECMWF |
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Katie Lean, Kirsti Salonen and Niels Bormann
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1,638 KB
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P8: Assimilation and forecast impact of the Leo/Geo AMVs in the GDAS/GFS |
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Dave Santek
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P9: Comparison and impact of newly available atmosssspheric motion vectors in NAVGEM |
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Rebecca Stone
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P10: Update on ocean surface wind assimilation at the Met Office |
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James Cotton
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P11: Comparative impact of ocean surface wind vectors and ocean surface wind speed for global NWP |
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Nancy Baker
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P12: Extending the legacy of MISR cloud motion vectors to tandem spacecraft |
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Kevin Mueller (for David Diner)
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P13: Aeolus QRT services for atmospheric dynamics |
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Ad Stoffelen
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P14: Evaluation of dual-mode Metop AMVs |
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Régis Borde
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P15: Status of 2 satellite winds missions under study in Japan: a Doppler lidar for tropospheric measurements and Smiles-2 for middle atmosphere |
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Philippe Baron
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P:16 SSMIS wind speed neural network algorithm and general purpose OSWV validation tool box |
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Philip Shen
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