dc.contributor.author |
Schmidt, KM
|
|
dc.contributor.author |
Swart, S
|
|
dc.contributor.author |
Reason, C
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|
dc.contributor.author |
Nicholson, Sarah-Anne
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|
dc.date.accessioned |
2018-02-26T13:08:18Z |
|
dc.date.available |
2018-02-26T13:08:18Z |
|
dc.date.issued |
2017-12 |
|
dc.identifier.citation |
Schmidt, 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): 1-49 |
en_US |
dc.identifier.issn |
0739-0572 |
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dc.identifier.uri |
http://hdl.handle.net/10204/10064
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|
dc.description |
Copyright: 2017 American Meteorological Society. This is the preliminary version of the work. The published version can be obtained via the publisher's website. |
en_US |
dc.description.abstract |
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. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
American Meteorological Society |
en_US |
dc.relation.ispartofseries |
Worklist;20231 |
|
dc.relation.ispartofseries |
Worklist;20232 |
|
dc.subject |
Air-sea interaction |
en_US |
dc.subject |
In situ atmospheric observations |
en_US |
dc.subject |
Numerical weather prediction/forecasting |
en_US |
dc.subject |
Satellite observations |
en_US |
dc.subject |
Southern Ocean |
en_US |
dc.subject |
Wind stress |
en_US |
dc.title |
Evaluation of satellite and reanalysis wind products with in situ wave glider wind observations in the Southern Ocean |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Schmidt, 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/10204/10064 |
en_ZA |
dc.identifier.chicagocitation |
Schmidt, 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/10204/10064 |
en_ZA |
dc.identifier.vancouvercitation |
Schmidt 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. |
en_ZA |
dc.identifier.ris |
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 -
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en_ZA |