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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Validation of Wave and Wind Product of the New Phase Saral Using Buoys Data
摘要： Since July 4th 2016, the SARAL/Altika has been moved in a new orbit, and it has continuously provided wave height measurements for more than 1 year. Before using these data, the measurements need to be validated. Based on the in-situ buoys from the National Data Buoy Center (NDBC), the SARAL Ka-band significant wave height (SWH) and Sea Surface Wind (SSW) measurements were validated and have been corrected using a linear regression with in-situ measurements. Compared with NDBC data, the validation results of SARAL show a RMS (Root Mean Square) of 0.28 m for SARAL SWH measurements and RMS of 1.30m/s for SARAL SSW speed indicating capability of AltiKa providing SWH and wind speed products with reliable accuracy. Therefore the accuracy of SARAL SWH products is higher than that of Jason-1/2 SWH data, and does not require any correction.
关键词： Sea Surface Wind,SARAL/AltiKa,Validation,Root Mean Square,Significant Wave Height
更新于2025-09-23 15:22:29
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Improving Wind Forcing with Scatterometer Observations for Operational Storm Surge Forecasting in the Adriatic Sea
摘要： Reliable storm surge predictions rely on accurate atmospheric model simulations, especially of the sea surface pressure and wind vector. The Adriatic Sea is among the regional seas of the Mediterranean basin experiencing the highest tidal excursions, particularly in its northern side, the Gulf of Venice, where storm surge predictions are therefore of great importance. Unfortunately, sea surface wind forecasts in the Adriatic Sea are known to be underestimated. A numerical method aiming at reducing the bias between scatterometer wind observations and atmospheric model winds, has been developed. The method is called “wind bias mitigation” and uses the scatterometer observations to reduce the bias between scatterometer observations and the modeled sea surface wind, in this case that supplied by the European Centre for Medium-Range Weather Forecasts (ECMWF) global atmospheric model. We have compared four mathematical approaches to this method, for a total of eight different formulations of the multiplicative factor ?ws which compensates the model wind underestimation, thus decreasing the bias between scatterometer and model. Four datasets are used for the assessment of the eight different bias mitigation methods: a collection of 29 storm surge events (SEVs) cases in the years 2004-2014, a collection of 48 SEVs in the years 2013-2016, a collection of 364 cases of random sea level conditions in the same period, and a collection of the seven SEVs in 2012-2016 that were worst predicted. The statistical analysis shows that the bias mitigation procedures supplies a mean wind speed more accurate than the standard forecast, when compared with scatterometer observations, in more than 70% of the analyzed cases.
关键词： Sea surface wind,Atmospheric model,Forecasting,Adriatic Sea,Scatterometer,Storm surge
更新于2025-09-23 15:21:21
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Comparison of sea surface wind field measured by HY-2A scatterometer and WindSat in global oceans
摘要： In this study, we present a comprehensive comparison of the sea surface wind field measured by scatterometer (Ku-band scatterometer) aboard the Chinese HY-2A satellite and the full-polarimetric radiometer WindSat aboard the Coriolis satellite. The two datasets cover a four-year period from October 2011 to September 2015 in the global oceans. For the sea surface wind speed, the statistical comparison indicates good agreement between the HY-2A scatterometer and WindSat with a bias of nearly 0 m/s and a root mean square error (RMSE) of 1.13 m/s. For the sea surface wind direction, a bias of 1.41° and an RMSE of 20.39° were achieved after excluding the data collocated with opposing directions. Furthermore, discrepancies in sea surface wind speed measured by the two sensors in the global oceans were investigated. It is found that the larger differences mainly appear in the westerlies in the both hemispheres. Both the bias and RMSE show latitude dependence, i.e., they have significant latitudinal fluctuations.
关键词： global comparisons,HY-2A scatterometer,sea surface wind field,polarimetric radiometer WindSat
更新于2025-09-23 15:21:21