Schmidt, KMSwart, SReason, CNicholson, Sarah-Anne2018-02-262018-02-262017-12Schmidt, K.M. et al. 2017. Evaluation of satellite and reanalysis wind products with in situ wave glider wind observations in the Southern Ocean. Journal of Atmospheric and Oceanic Technology, vol. 35(2): 1-490739-0572http://hdl.handle.net/10204/10064Copyright: 2017 American Meteorological Society. This is the preliminary version of the work. The published version can be obtained via the publisher's website.Surface ocean wind datasets are required to be of high spatial and temporal resolution and high precision to accurately force or be assimilated into coupled atmosphere–ocean numerical models and to understand ocean–atmospheric processes. In situ observed sea surface winds from the Southern Ocean are scarce and, consequently, the validity of simulation models is often questionable. Multiple wind data products were compared to the first known high-resolution in situ measurements of wind speed from Wave Glider (WG) deployments in the Southern Ocean with the intent to determine which blended satellite or reanalysis product best represents the magnitude and variability of the observed wind field. Results show that the ECMWF reanalysis product is the most accurate in representing the temporal variability of winds, exhibiting consistently higher correlation coefficients with in situ data across all wind speed categories. However, the NCEP–DOE AMIP-II Reanalysis product matches in situ trends of deviation from the mean and performs best in depicting the mean wind state, especially during high wind states. The ECMWF product also leads to smaller differences in wind speeds from the in situ data, while CFSv2 showed slightly higher biases and a greater RMSE. The SeaWinds (SW) product consistently performed poorly at representing the mean or wind stress variability compared to those observed by the WG. Overall, the study shows autonomous surface vehicles provide valuable observations by which to validate, understand, and potentially assist in correcting satellite/reanalysis products, particularly in remote regions, where few in situ estimates exist.enAir-sea interactionIn situ atmospheric observationsNumerical weather prediction/forecastingSatellite observationsSouthern OceanWind stressArticleSchmidt, K., Swart, S., Reason, C., & Nicholson, S. (2017). Evaluation of satellite and reanalysis wind products with in situ wave glider wind observations in the Southern Ocean. http://hdl.handle.net/10204/10064Schmidt, KM, S Swart, C Reason, and Sarah-Anne Nicholson "Evaluation of satellite and reanalysis wind products with in situ wave glider wind observations in the Southern Ocean." (2017) http://hdl.handle.net/10204/10064Schmidt K, Swart S, Reason C, Nicholson S. Evaluation of satellite and reanalysis wind products with in situ wave glider wind observations in the Southern Ocean. 2017; http://hdl.handle.net/10204/10064.TY - Article AU - Schmidt, KM AU - Swart, S AU - Reason, C AU - Nicholson, Sarah-Anne AB - Surface ocean wind datasets are required to be of high spatial and temporal resolution and high precision to accurately force or be assimilated into coupled atmosphere–ocean numerical models and to understand ocean–atmospheric processes. In situ observed sea surface winds from the Southern Ocean are scarce and, consequently, the validity of simulation models is often questionable. Multiple wind data products were compared to the first known high-resolution in situ measurements of wind speed from Wave Glider (WG) deployments in the Southern Ocean with the intent to determine which blended satellite or reanalysis product best represents the magnitude and variability of the observed wind field. Results show that the ECMWF reanalysis product is the most accurate in representing the temporal variability of winds, exhibiting consistently higher correlation coefficients with in situ data across all wind speed categories. However, the NCEP–DOE AMIP-II Reanalysis product matches in situ trends of deviation from the mean and performs best in depicting the mean wind state, especially during high wind states. The ECMWF product also leads to smaller differences in wind speeds from the in situ data, while CFSv2 showed slightly higher biases and a greater RMSE. The SeaWinds (SW) product consistently performed poorly at representing the mean or wind stress variability compared to those observed by the WG. Overall, the study shows autonomous surface vehicles provide valuable observations by which to validate, understand, and potentially assist in correcting satellite/reanalysis products, particularly in remote regions, where few in situ estimates exist. DA - 2017-12 DB - ResearchSpace DP - CSIR KW - Air-sea interaction KW - In situ atmospheric observations KW - Numerical weather prediction/forecasting KW - Satellite observations KW - Southern Ocean KW - Wind stress LK - https://researchspace.csir.co.za PY - 2017 SM - 0739-0572 T1 - Evaluation of satellite and reanalysis wind products with in situ wave glider wind observations in the Southern Ocean TI - Evaluation of satellite and reanalysis wind products with in situ wave glider wind observations in the Southern Ocean UR - http://hdl.handle.net/10204/10064 ER -