First results of joint sea surface salinity, temperature, and wind speed retrieval from MICAP Simultaneous L/C/K-band active and passive observations

The Microwave Imager Combined Active and Passive (MICAP) onboard the Chinese Ocean Salinity Satellite (HY-4A) is a novel spaceborne payload developed for the simultaneous retrieval of Sea Surface Salinity (SSS), Sea Surface Temperature (SST), and Sea Surface Wind Speed (WS). MICAP uniquely combines L-band (1.4 GHz), C-band (6.9 GHz), and K-band (18.7 GHz) one-dimensional (1-D) interferometric synthetic aperture radiometers with an L-band Digital Beam-Forming (DBF) scatterometer. This paper presents the Level-2 retrieval algorithms and preliminary validation results obtained during the early in-orbit verification phase of the MICAP ocean products. The retrieval framework adopts a two-step strategy, including an L-band only SSS retrieval scheme (Mode-1) and a combined multi-parameter retrieval scheme (Mode-2). In Mode-2, the simultaneous C/K-band measurements are first used to derive estimates of SST and WS. These auxiliary parameters are subsequently combined with the L-band radiometer and scatterometer measurements to perform the final SSS and WS retrieval. Preliminary validation against Argo observations shows an SSS RMSE of approximately 0.58 psu for the Mode-2 retrieval over the screened open ocean validation sample. The retrieved SST and WS products show RMSEs of 0.80 K and 1.17 m/s, respectively, when compared with iQuam and TAO buoy data. These results provide an initial in-orbit demonstration of simultaneous multi-parameter retrieval using the MICAP multi-frequency active and passive observations.

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Publication Details

Journal
GIScience & Remote Sensing
Published
2026-10-29
DOI
https://doi.org/10.1080/15481603.2026.2751876
Primary Topic
Soil Moisture and Remote Sensing
Type
article
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article

First results of joint sea surface salinity, temperature, and wind speed retrieval from MICAP Simultaneous L/C/K-band active and passive observations

Wenyu WANG, Xiaolin Tong, Wu Zhou, Lanjie Zhang et al.
GIScience & Remote Sensing
Soil Moisture and Remote Sensing
article

First results of joint sea surface salinity, temperature, and wind speed retrieval from MICAP Simultaneous L/C/K-band active and passive observations

Wenyu WANG, Xiaolin Tong, Wu Zhou, Lanjie Zhang, Zhenzhan Wang, Hao Liu
article en

Abstract

The Microwave Imager Combined Active and Passive (MICAP) onboard the Chinese Ocean Salinity Satellite (HY-4A) is a novel spaceborne payload developed for the simultaneous retrieval of Sea Surface Salinity (SSS), Sea Surface Temperature (SST), and Sea Surface Wind Speed (WS). MICAP uniquely combines L-band (1.4 GHz), C-band (6.9 GHz), and K-band (18.7 GHz) one-dimensional (1-D) interferometric synthetic aperture radiometers with an L-band Digital Beam-Forming (DBF) scatterometer. This paper presents the Level-2 retrieval algorithms and preliminary validation results obtained during the early in-orbit verification phase of the MICAP ocean products. The retrieval framework adopts a two-step strategy, including an L-band only SSS retrieval scheme (Mode-1) and a combined multi-parameter retrieval scheme (Mode-2). In Mode-2, the simultaneous C/K-band measurements are first used to derive estimates of SST and WS. These auxiliary parameters are subsequently combined with the L-band radiometer and scatterometer measurements to perform the final SSS and WS retrieval. Preliminary validation against Argo observations shows an SSS RMSE of approximately 0.58 psu for the Mode-2 retrieval over the screened open ocean validation sample. The retrieved SST and WS products show RMSEs of 0.80 K and 1.17 m/s, respectively, when compared with iQuam and TAO buoy data. These results provide an initial in-orbit demonstration of simultaneous multi-parameter retrieval using the MICAP multi-frequency active and passive observations.

GIScience & Remote SensingVol. 63(1)
Chinese Academy of Sciences (CN), National Space Science Center (CN), National Satellite Ocean Application Service (CN), Beijing Information Science & Technology University (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 22%
Soil Moisture and Remote Sensing
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