4.7 Article

Analysis of Spatial and Temporal Criteria for Altimeter Collocation of Significant Wave Height and Wind Speed Data in Deep Waters

Journal

REMOTE SENSING
Volume 15, Issue 8, Pages -

Publisher

MDPI
DOI: 10.3390/rs15082203

Keywords

altimeter collocation; altimeter-buoy comparisons; ocean significant wave height; marine surface winds

Ask authors/readers for more resources

This study uses altimeter data from AODN and buoy data from NDBC to investigate the variability of wave height and wind speed. The goal is to evaluate criteria for collocating altimeter data to fixed-point positions in deep waters. The results suggest that a temporal criterion of 30 min and a spatial criterion between 25 km and 50 km provide the best results for altimeter collocation, with high accuracy compared to buoy measurements. The final validation shows that the altimeter dataset has high quality.
This paper investigates the spatial and temporal variability of significant wave height (Hs) and wind speed (U10) using altimeter data from the Australian Ocean Data Network (AODN) and buoy data from the National Data Buoy Center (NDBC). The main goal is to evaluate spatial and temporal criteria for collocating altimeter data to fixed-point positions and to provide practical guidance on altimeter collocation in deep waters. The results show that a temporal criterion of 30 min and a spatial criterion between 25 km and 50 km produce the best results for altimeter collocation, in close agreement with buoy data. Applying a 25 km criterion leads to slightly better error metrics but at the cost of fewer matchups, whereas using 50 km augments the resulting collocated dataset while keeping the differences to buoy measurements very low. Furthermore, the study demonstrates that using the single closest altimeter record to the buoy position leads to worse results compared to the collocation method based on temporal and spatial averaging. The final validation of altimeter data against buoy observations shows an RMSD of 0.21 m, scatter index of 0.09, and correlation coefficient of 0.98 for Hs, confirming the optimal choice of temporal and spatial criteria employed and the high quality of the calibrated AODN altimeter dataset.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available