- Title
- A New Method to Combine Coastal Sea Surface Height Estimates from Multiple Retrackers by Using the Dijkstra Algorithm
- Creator
- Peng, Fukai; Deng, Xiaoli; Jiang, Maofei; Dinardo, Salvatore; Shen, Yunzhong
- Relation
- Remote Sensing Vol. 15, Issue 9, no. 2329
- Publisher Link
- http://dx.doi.org/10.3390/rs15092329
- Publisher
- MDPI AG
- Resource Type
- journal article
- Date
- 2023
- Description
- To increase data availability and accuracy in the coastal zone, especially in the last 5 km to the coast, we present a SCMR (Seamless Combination of Multiple Retrackers) processing strategy to combine sea surface height (SSH) estimates from waveform retrackers of SGDR MLE4, ALES, WLS3 and MB4 for Jason-3 and Saral missions, and of SAMOSA and SAMOSA+ for Sentinel-3A mission in the Australian coastal zone. The SCMR does not require the waveform classification result. It includes two steps: (1) estimating and removing the SSH bias due mainly to the significant wave height (SWH) difference-dependent height differences, and (2) determining the optimal along-track SSH profile by using the Dijkstra algorithm. In the study region, the results show that the SCMR increases the data availability by up to 15% in the last 5 km to the coast and reduces the noise level by 28–34% at the spatial scales < 2.5 km. The validation results against tide gauges show that SCMR-derived SSH estimates achieve a better accuracy than that from any single retracker, with the improvement percentage of 6.26% and 4.94% over 0–10 km and 20–100 km distance bands, respectively.
- Subject
- Australia; coastal zone; Dijkstra algorithm; sea surface height; Jason-3; Saral
- Identifier
- http://hdl.handle.net/1959.13/1482268
- Identifier
- uon:50901
- Identifier
- ISSN:2072-4292
- Rights
- © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
- Language
- eng
- Full Text
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