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Open AccessLetter

Indirect Validation of Ocean Remote Sensing Data via Numerical Model: An Example of Wave Heights from Altimeter

by Haoyu Jiang 1,2,3
1
Hubei Key Laboratory of Marine Geological Resources, China University of Geosciences, Wuhan 430074, China
2
Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China
3
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China
Remote Sens. 2020, 12(16), 2627; https://doi.org/10.3390/rs12162627
Received: 10 July 2020 / Revised: 31 July 2020 / Accepted: 13 August 2020 / Published: 14 August 2020
(This article belongs to the Special Issue Calibration and Validation of Satellite Altimetry)
Using numerical model outputs as a bridge, an indirect validation method for remote sensing data was developed to increase the number of effective collocations between remote sensing data to be validated and reference data. The underlying idea for this method is that the local spatial-temporal variability of specific parameters provided by numerical models can compensate for the representativeness error induced by differences of spatial-temporal locations of the collocated data pair. Using this method, the spatial-temporal window for collocation can be enlarged for a given error tolerance. To test the effectiveness of this indirect validation approach, significant wave height (SWH) data from Envisat were indirectly compared against buoy and Jason-2 SWHs, using the SWH gradient information from a numerical wave hindcast as a bridge. The results indicated that this simple indirect validation method is superior to “direct” validation. View Full-Text
Keywords: Indirect validation; numerical model; significant wave height; altimeter Indirect validation; numerical model; significant wave height; altimeter
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MDPI and ACS Style

Jiang, H. Indirect Validation of Ocean Remote Sensing Data via Numerical Model: An Example of Wave Heights from Altimeter. Remote Sens. 2020, 12, 2627.

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