Can Multi-Mission Altimeter Datasets Accurately Measure Long-Term Trends in Wave Height?

A long-duration, multi-mission altimeter dataset is analyzed to determine its accuracy in determining long-term trends in significant wave height. Two calibration methods are investigated: “altimeter–buoy” calibration and “altimeter–altimeter” calibration. The “altimeter–altimeter” approach shows la...

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Main Authors: Ian R. Young, Agustinus Ribal
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/4/974
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author Ian R. Young
Agustinus Ribal
author_facet Ian R. Young
Agustinus Ribal
author_sort Ian R. Young
collection DOAJ
description A long-duration, multi-mission altimeter dataset is analyzed to determine its accuracy in determining long-term trends in significant wave height. Two calibration methods are investigated: “altimeter–buoy” calibration and “altimeter–altimeter” calibration. The “altimeter–altimeter” approach shows larger positive trends globally, but both approaches are subject to temporal non-homogeneity between altimeter missions. This limits the accuracy of such datasets to approximately ±0.2 cm/year in determining trends in significant wave height. The sampling pattern of the altimeters is also investigated to determine if under-sampling impacts the ability of altimeters to measure trends for higher percentiles. It is concluded that, at the 99th percentile level, sampling issues result in a positive bias in values of trend. At lower percentiles (90th and mean), the sampling issues do not bias the trend estimates significantly.
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spelling doaj.art-38bbb978e3f345e29583ba48ccb3fa1e2023-11-23T21:55:01ZengMDPI AGRemote Sensing2072-42922022-02-0114497410.3390/rs14040974Can Multi-Mission Altimeter Datasets Accurately Measure Long-Term Trends in Wave Height?Ian R. Young0Agustinus Ribal1Department of Infrastructure Engineering, The University of Melbourne, Parkville, VIC 3010, AustraliaDepartment of Infrastructure Engineering, The University of Melbourne, Parkville, VIC 3010, AustraliaA long-duration, multi-mission altimeter dataset is analyzed to determine its accuracy in determining long-term trends in significant wave height. Two calibration methods are investigated: “altimeter–buoy” calibration and “altimeter–altimeter” calibration. The “altimeter–altimeter” approach shows larger positive trends globally, but both approaches are subject to temporal non-homogeneity between altimeter missions. This limits the accuracy of such datasets to approximately ±0.2 cm/year in determining trends in significant wave height. The sampling pattern of the altimeters is also investigated to determine if under-sampling impacts the ability of altimeters to measure trends for higher percentiles. It is concluded that, at the 99th percentile level, sampling issues result in a positive bias in values of trend. At lower percentiles (90th and mean), the sampling issues do not bias the trend estimates significantly.https://www.mdpi.com/2072-4292/14/4/974wave climatesignificant wave heightwave climate changealtimeter
spellingShingle Ian R. Young
Agustinus Ribal
Can Multi-Mission Altimeter Datasets Accurately Measure Long-Term Trends in Wave Height?
Remote Sensing
wave climate
significant wave height
wave climate change
altimeter
title Can Multi-Mission Altimeter Datasets Accurately Measure Long-Term Trends in Wave Height?
title_full Can Multi-Mission Altimeter Datasets Accurately Measure Long-Term Trends in Wave Height?
title_fullStr Can Multi-Mission Altimeter Datasets Accurately Measure Long-Term Trends in Wave Height?
title_full_unstemmed Can Multi-Mission Altimeter Datasets Accurately Measure Long-Term Trends in Wave Height?
title_short Can Multi-Mission Altimeter Datasets Accurately Measure Long-Term Trends in Wave Height?
title_sort can multi mission altimeter datasets accurately measure long term trends in wave height
topic wave climate
significant wave height
wave climate change
altimeter
url https://www.mdpi.com/2072-4292/14/4/974
work_keys_str_mv AT ianryoung canmultimissionaltimeterdatasetsaccuratelymeasurelongtermtrendsinwaveheight
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