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Uncertainty of Atmospheric Winds in Three Widely Used Global Reanalysis Datasets
Atmospheric winds are crucial to the transport of heat, moisture, momentum, and chemical species,...
Longtao Wu, Hui Su, Xubin Zeng, Derek J. Posselt, Sun Wong, Shuyi Chen, and Ad Stoffelen | Journal: Journal of Applied Meteorology and Climatology | Year: 2023 | doi: https://doi.org/10.1175/JAMC-D-22-0198.1
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On High and Extreme Wind Calibration Using ASCAT
Accurate high and extreme sea surface wind observations are essential for the meteorological, oce...
Federica Polverari, Marcos Portabella, Wenming Lin, Joseph W Sapp, Ad Stoffelen, Zorana Jelenak, Paul S Chang
| Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 60 | Year: 2021 | doi: https://doi.org/10.1109/TGRS.2021.3079898
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Evaluating and Extending the Ocean Wind Climate Data Record
Satellite sensors have been systematically measuring near-surface ocean winds for nearly 30 years...
F Wentz, D Long, M Bourassa, E Rodriguez, And many others from, R Hoffman, L O'Neill, L Ricciardulli, DK Smith, A Stoffelen, A Verhoef, D Vandemark, T Farrar | Journal: Int. Ocean Vector Wind Science Team (IOVWST) | Year: 2016 | doi: mdc.coaps.fsu.edu/scatterometry/meeting/past.php
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Assimilation of GNSS reflectometry delay-Doppler maps with a two-dimensional variational analysis of global ocean surface winds
Direct remote-sensing observations (e.g., radar backscatter, radiometer brightness temperature, o...
Feixiong Huang, James L Garrison, S Mark Leidner, Giuseppe Grieco, Ad Stoffelen, Bachir Annane, Ross N Hoffman
| Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 147 | Year: 2021 | doi: https://doi.org/10.1002/qj.4034
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A Forward Model for Data Assimilation of GNSS Ocean Reflectometry Delay-Doppler Maps
Delay-Doppler maps (DDMs) are generally the lowest level of calibrated observables produced from ...
Feixiong Huang, James L Garrison, S Mark Leidner, Bachir Annane, Ross N Hoffman, Giuseppe Grieco, Ad Stoffelen
| Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 59 | Year: 2020 | doi: https://doi.org/10.1109/TGRS.2020.3002801
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