# Can Multi-Mission Altimeter Datasets Accurately Measure Long-Term Trends in Wave Height?
> Young I.R.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_85124942813
Jurnal / Konferensi: Remote Sensing
Tahun terbit: 2022
DOI: https://doi.org/10.3390/rs14040974
ISSN: 20724292
Kuartil SJR: Q1
Citations: 31

## Authors
- Young I.R.

## Abstract
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.

## Keywords
- Altimeter
- Percentile
- Remote sensing
- Significant wave height
- Wave height
- Environmental science
- Sampling (signal processing)
- Term (time)
- Calibration
- Geodesy
- Geology
- Statistics
- Wind wave
- Computer science
- Mathematics
- Oceanography
- Telecommunications
- Quantum mechanics
- Physics
- Detector

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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