https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15248 Wed 11 Apr 2018 11:56:21 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28962 Wed 09 Mar 2022 15:58:14 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34440 Tue 03 Sep 2019 18:26:42 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41066 in situ anemometer and Jason-2 official altimeter product. The along-track root mean square errors (RMSEs) and biases between altimeter and anemometer wind speed time series are calculated pointwise to evaluate the data quality. The orthogonal regression analysis is computed to evaluate the overall data quality. The validation results show that the BP-derived backscatter coefficients are highly correlated with the square of the off-nadir angles. By removing this correlation-induced error, the quality of BP-derived backscatter coefficients is comparable to that obtained from the three-parameter maximum likelihood estimator (MLE3). The improved backscatter coefficients are beneficial for retrieving reliable along-track wind speed observations, which allows for lower and smoother RMSEs and biases. The 1- and 2-Hz BP-derived wind speeds achieve similar performance, implying that the application of high rate altimeter wind speeds in coastal zones is possible. We also find that the altimeter wind speeds are significantly dependent on the sea state in the last 20-km distance to the coast, where the bias between altimeter and anemometer wind speeds increases remarkably and varies inversely with the offshore distance.]]> Fri 22 Jul 2022 10:04:21 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34697 -1.]]> Fri 12 Apr 2019 15:45:06 AEST ]]>