4.7 Article

Sensitivity of Wide Bandwidth Radiometer for Remote Sensing of Ocean Salinity

Journal

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2021.3101962

Keywords

Salinity (geophysical); Sensitivity; Ocean temperature; Frequency measurement; Sea surface; Sea measurements; Temperature sensors; Microwave remote sensing; radiometry; sea surface salinity (SSS)

Funding

  1. National Aeronautics and Space Administration [80NSSC18K1443]

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Passive microwave remote sensing of sea surface salinity from space is done in the 27 MHz wide spectral window at 1.413 GHz, showing the need for better accuracy by adding measurements at more frequencies. The accuracy of salinity remote sensing is not only dependent on frequency, but also on other parameters of the ocean surface such as water temperature and roughness.
Passive microwave remote sensing of sea surface salinity from space is currently being done with measurements in the 27 MHz wide spectral window at 1.413 GHz (L-band) protected for passive use. Modern L-band instruments, such as the radiometers on Soil Moisture and Ocean Salinity (SMOS) and Aquarius, have demonstrated the feasibility of monitoring surface salinity from space, and they have also demonstrated the need for better accuracy, especially in cold water. Proposals to improve accuracy have largely involved adding measurement at more frequencies. For example, adding lower frequencies to improve the sensitivity to salinity in cold water and adding higher frequencies to enable simultaneous retrieval of sea surface temperature which is needed in the retrieval of salinity. These strategies involve tradeoffs, some obvious such as the effects of interference from anthropogenic sources of radio frequency radiation when operating outside the protected band and the loss of spatial resolution at lower frequencies. But, some are more subtle and arise because of the dependence of the retrieval of salinity on other parameters of the ocean surface, in particular, water temperature and roughness (wind speed). The effect of these interdependencies on the potential accuracy of salinity remote sensing in the frequency range 0.3-3.0 GHz is examined here to gain insight into the potential for future wide bandwidth instruments for remote sensing of salinity and the optimization of their design. There is benefit including the low frequencies, especially for cold water, but a danger of increased error including frequencies above 1.5-2.0 GHz depending on temperature.

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