Simulation Framework and Case Studies for the Design of Sea Surface Salinity Remote Sensing Missions

• Published in: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Main Authors: Alexander Akins, Shannon Brown, Tong Lee, Sidharth Misra, Simon Yueh
• Format: Article in Journal/Newspaper
• Language: English
• Published: IEEE 2023
• Subjects: Microwave radiometry; ocean salinity; open source software; Ocean engineering; TC1501-1800; Geophysics. Cosmic physics; QC801-809; Pacific; Southern Ocean
• Online Access: https://doi.org/10.1109/JSTARS.2023.3234407; https://doaj.org/article/ec868a21458a41c4bfadd44fad94d100

L -band microwave radiometers have now been used to measure sea surface salinity (SSS) from space for over a decade with the SMOS, Aquarius, and SMAP missions, and it is expected that the launch of the CIMR mission in the later half of this decade will ensure measurement continuity in the near future. Beyond these missions, it is useful to consider how future missions can be designed to meet different scientific objectives and performance requirements as well as to fit within different cost spaces. In this article, we present a software simulator for remote sensing measurements of ocean state capable of generating L1- and L2- equivalent data products for an arbitrary spacecraft mission including multifrequency fixed-pointing or scanning microwave radiometers.This simulator is then applied to case studies of SSS measurement over selected areas of interest, including the Gulf Stream, Southern Ocean, and Pacific tropical instability wave regions. These simulations illustrate how different design choices concerning receiver bandwidth and revisit time can improve the detection of SSS features in these regions from the mesoscale to the seasonal scale.