Indirect Validation of Ocean Remote Sensing Data via Numerical Model: An Example of Wave Heights from Altimeter
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 varia...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-08-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/16/2627 |
| _version_ | 1797558090978033664 |
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| author | Haoyu Jiang |
| author_facet | Haoyu Jiang |
| author_sort | Haoyu Jiang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T17:25:32Z |
| format | Article |
| id | doaj.art-a156d853fc4c4791899a08fd6535f71f |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T17:25:32Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-a156d853fc4c4791899a08fd6535f71f2023-11-20T10:11:38ZengMDPI AGRemote Sensing2072-42922020-08-011216262710.3390/rs12162627Indirect Validation of Ocean Remote Sensing Data via Numerical Model: An Example of Wave Heights from AltimeterHaoyu Jiang0Hubei Key Laboratory of Marine Geological Resources, China University of Geosciences, Wuhan 430074, ChinaUsing 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.https://www.mdpi.com/2072-4292/12/16/2627Indirect validationnumerical modelsignificant wave heightaltimeter |
| spellingShingle | Haoyu Jiang Indirect Validation of Ocean Remote Sensing Data via Numerical Model: An Example of Wave Heights from Altimeter Remote Sensing Indirect validation numerical model significant wave height altimeter |
| title | Indirect Validation of Ocean Remote Sensing Data via Numerical Model: An Example of Wave Heights from Altimeter |
| title_full | Indirect Validation of Ocean Remote Sensing Data via Numerical Model: An Example of Wave Heights from Altimeter |
| title_fullStr | Indirect Validation of Ocean Remote Sensing Data via Numerical Model: An Example of Wave Heights from Altimeter |
| title_full_unstemmed | Indirect Validation of Ocean Remote Sensing Data via Numerical Model: An Example of Wave Heights from Altimeter |
| title_short | Indirect Validation of Ocean Remote Sensing Data via Numerical Model: An Example of Wave Heights from Altimeter |
| title_sort | indirect validation of ocean remote sensing data via numerical model an example of wave heights from altimeter |
| topic | Indirect validation numerical model significant wave height altimeter |
| url | https://www.mdpi.com/2072-4292/12/16/2627 |
| work_keys_str_mv | AT haoyujiang indirectvalidationofoceanremotesensingdatavianumericalmodelanexampleofwaveheightsfromaltimeter |