研究目的
To validate the significant wave height (SWH) and sea surface wind (SSW) measurements from the SARAL/AltiKa satellite after its orbit change using in-situ buoy data from the National Data Buoy Center (NDBC).
研究成果
The validation shows that SARAL/AltiKa SWH measurements have high accuracy (RMS of 0.28 m after correction) and do not require correction, outperforming Jason-1/2. SSW measurements have an RMS of 1.30 m/s after correction, with better accuracy in open ocean compared to coastal regions. The results confirm the reliability of SARAL data for oceanographic applications.
研究不足
The validation relies on NDBC buoy data, which are mostly near coastal areas, potentially limiting global representativeness. The spatial and temporal windows (50 km, 0.5 hours) may introduce collocation errors. The study does not address long-term sensor degradation or electronic drift.
1：Experimental Design and Method Selection:
The study uses a collocation method with spatial and temporal windows to compare satellite altimeter data with buoy measurements. Linear regression is applied for correction.
2：Sample Selection and Data Sources:
Buoy data from NDBC (NOAA) from November 1, 2016, to October 31, 2017, and SARAL GDR data (version T) from CNES-AVISO for cycles 104 to 112 (November 21, 2011, to October 2, 2017).
3：7). List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: NDBC buoys (approximately 300, with 105 used after filtering), SARAL/AltiKa satellite data.
4：Experimental Procedures and Operational Workflow:
Collocated data are selected when the distance between altimeter ground track and buoy is less than 50 km within a
5：5-hour time window. Altimeter data are averaged along the track. Statistical analysis includes scatter plots, bias, RMS, and linear regression. Data Analysis Methods:
Statistical methods such as root mean square (RMS), bias calculation, and linear regression fitting are used to assess accuracy.
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