An analysis on the error structure and mechanism of soil moisture and ocean salinity remotely sensed sea surface salinity products
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For the application of soil moisture and ocean salinity (SMOS) remotely sensed sea surface salinity (SSS) products, SMOS SSS global maps and error characteristics have been investigated based on quality control information. The results show that the errors of SMOS SSS products are distributed zonally, i.e., relatively small in the tropical oceans, but much greater in the southern oceans in the Southern Hemisphere (negative bias) and along the southern, northern and some other oceanic margins (positive or negative bias). The physical elements responsible for these errors include wind, temperature, and coastal terrain and so on. Errors in the southern oceans are due to the bias in an SSS retrieval algorithm caused by the coexisting high wind speed and low temperature; errors along the oceanic margins are due to the bias in a brightness temperature (TB) reconstruction caused by the high contrast between L-band emissivities fromice or land and from ocean; in addition, some other systematic errors are due to the bias in TB observation caused by a radio frequency interference and a radiometer receivers drift, etc. The findings will contribute to the scientific correction and appropriate application of the SMOS SSS products.
Key wordssoil moisture and ocean salinity SMOS remotely sensed sea surface salinity error analysis
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- Boutin J, Yin Xiaobin, Martin N, et al. 2011. Sea surface salinity from SMOS satellite and in situ observations: surface autonomous drifters in the tropical Atlantic Ocean. http://earth.eo.esa.int/workshops/smos_science_workshop/SESSION_3_OCEAN_SALINITY/J.Boutin_SMOS_Satellite_Sea_Surface_Salinity_situ.pdf Google Scholar
- CP34. 2008. Detailed Processing Model for SMOS CP34 OS L3 Processors. http://www.cp34-users.cmima.csic.es/light_web/documentation Google Scholar
- Font J, Boutin J, Reul N, et al. 2011. Status of sea surface salinity product provided by SMOS. http://earth.eo.esa.int/workshops/smos_science_workshop/SESSION_3_OCEAN_SALINITY/J.Font_SMOS_Status_Sea_Surface_Salinity.pdf Google Scholar
- Gourrion J, Ballabrera J, Aretxabaleta A L, et al. 2010. Preliminary validation of SMOS products (Levels 3 and 4). IGARSS 2010 Proceedings. Honolulu USA: IEEE International, 3170–3173Google Scholar
- Kainulainen Juha, Martin-Neira Manuel, Closa Josep, et al. 2011. Performance and stability of the SMOS reference radiometers-status of investigations after 20 months of operation. http://earth.eo.esa.int/workshops/smos_science_workshop/SESSION_1_INSTRUMENTS/J.Kainulainen_SMOS_perfomance_stability_reference_radiometers.pdf Google Scholar
- Martin-Neira M, Corbella I, Torres F, et al. 2011. Overview: MIRAS instrument performance and status of RFI. http://earth.eo.esa.int/workshops/smos_science_workshop/SESSION_1_INSTRUMENTS/M.M.Neira_Overview_MIRAS_Instrument_Status_RFI.pdf Google Scholar
- Reul Nicolas, Tenerelli J, Boutin J, et al. 2011. First SSS products from SMOS generated at the Centre Aval des Donnees SMOS. http://earth.eo.esa.int/workshops/smos_science_workshop/SESSION_3_OCEAN_SALINITY/N.Reul_SMOS_1st_SSS_Products.pdf Google Scholar
- Tenerelli Joseph E, Reul Nicolas. 2010. Analysis of SMOS brightness temperatures obtained from March through May 2010. http://argans.co.uk/smos/docs/papers/067-D3_jtenerelli.pdf Google Scholar
- Yin Xiaobin, Boutin J, Martin N, et al. 2011. Sea surface roughness and foam signature onto SMOS brightness temperature and salinity. http://earth.eo.esa.int/workshops/smos_science_workshop/SESSION_3_OCEAN_SALINITY/X.Yin_SMOS_brightness_temperature_salinity.pdf Google Scholar
- Yin Xiaobin, Liu Yuguang, Zhang Hande, et al. 2005. Microwave remote sensing of sea surface salinityĺCa study on microwave radiation theory of calm sea surface. Chinese High Technology Letters (in Chinese), 15(8): 86–90Google Scholar