HY-2B SMR’s Sea Surface Temperature Retrieval Considering Parameter Crosstalk

Zhou, Wu; Lin, Mingsen; Li, Wei; Yin, Xiaobin; Li, Yinan; Li, Xi; Li, Qingxia; Wang, Shishuai; Yu, Rui

doi:10.1109/tgrs.2023.3319665

Cited by 1 publication

(1 citation statement)

References 27 publications

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“…To mitigate spurious signals in SST variation, all the SST measurement systems are expected to have uniform performance across time and location. The SST observations from satellite-based microwave radiometers are susceptible to crosstalk effects from sea surface wind, water vapor, and cloud liquid water, as documented in prior studies [54,55]. In light of these considerations, variations in the ESD and SNR SUb of AMSR2, MWRI, and iQuam are examined with respect to time, latitude, SST, sea surface wind, columnar water vapor, and columnar cloud liquid water.…”

Section: Error Analysesmentioning

confidence: 95%

Inter-Comparison of SST Products from iQuam, AMSR2/GCOM-W1, and MWRI/FY-3D

Zhao,

Liu,

Zhou

2024

Remote Sensing

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Evaluating sea surface temperature (SST) products is essential before their application in marine environmental monitoring and related studies. SSTs from the in situ SST Quality Monitor (iQuam) system, Advanced Microwave Scanning Radiometer 2 (AMSR2) aboard the Global Change Observation Mission 1st-Water, and the Microwave Radiation Imager (MWRI) aboard the Chinese Fengyun-3D satellite are intercompared utilizing extended triple collocation (ETC) and direct comparison methods. Additionally, error characteristic variations with respect to time, latitude, SST, sea surface wind speed, columnar water vapor, and columnar cloud liquid water are analyzed comprehensively. In contrast to the prevailing focus on SST validation accuracy, the random errors and the capability to detect SST variations are also evaluated in this study. The result of ETC analysis indicates that iQuam SST from ships exhibits the highest random error, above 0.83 °C, whereas tropical mooring SST displays the lowest random error, below 0.28 °C. SST measurements from drifters, tropical moorings, Argo floats, and high-resolution drifters, which possess random errors of less than 0.35 °C, are recommended for validating remotely sensed SST. The ability of iQuam, AMSR2, and MWRI to detect SST variations diminishes significantly in ocean areas between 0°N and 20°N latitude and latitudes greater than 50°N and 50°S. AMSR2 and iQuam demonstrate similar random errors and capabilities for detecting SST variations, whereas MWRI shows a high random error and weak capability. In comparison to iQuam SST, AMSR2 exhibits a root-mean-square error (RMSE) of about 0.51 °C with a bias of −0.05 °C, while MWRI shows an RMSE of about 1.26 °C with a bias of −0.14 °C.

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Section: Error Analysesmentioning

confidence: 95%