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The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle
Abstract
It is now well understood that data on soil moisture and sea surface salinity (SSS) are required to improve meteorological and climate predictions. These two quantities are not yet available globally or with adequate temporal or spatial sampling. It is recognized that a spaceborne L-band radiometer with a suitable antenna is the most promising way of fulfilling this gap. With these scientific objectives and technical solution at the heart of a proposed mission concept the European Space Agency (ESA) selected the Soil Moisture and Ocean Salinity (SMOS) mission as its second Earth Explorer Opportunity Mission. The development of the SMOS mission was led by ESA in collaboration with the Centre National d'Etudes Spatiales (CNES) in France and the Centro para el Desarrollo Tecnologico Industrial (CDTI) in Spain. SMOS carries a single payload, an L-Band 2-D interferometric radiometer operating in the 1400-1427-MHz protected band . The instrument receives the radiation emitted from Earth's surface, which can then be related to the moisture content in the first few centimeters of soil over land, and to salinity in the surface waters of the oceans. SMOS will achieve an unprecedented maximum spatial resolution of 50 km at L-band over land (43 km on average over the field of view), providing multiangular dual polarized (or fully polarized) brightness temperatures over the globe. SMOS has a revisit time of less than 3 days so as to retrieve soil moisture and ocean salinity data, meeting the mission's science objectives. The caveat in relation to its sampling requirements is that SMOS will have a somewhat reduced sensitivity when compared to conventional radiometers. The SMOS satellite was launched successfully on November 2, 2009.
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Cited by
West, H., Quinn, N., & Horswell, M. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.111291 · Cited by 538
Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals
Gruber, A., Dorigo, W. A., Crow, W., & Wagner, W. (2017) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2017.2734070 · Cited by 423
Ma, H., Zeng, J., Chen, N., Zhang, X., Cosh, M. H., & Wang, W. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.111215 · Cited by 389
Current and Emerging Developments in Subseasonal to Decadal Prediction
Merryfield, W. J., Baehr, J., Batté, L., Becker, E. J., Butler, A. H., Coelho, C. A. S., Danabasoglu, G., Dirmeyer, P. A., Doblas-Reyes, F. J., Domeisen, D. I. V., et al. (2020) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-19-0037.1 · Cited by 290
The Value of SMAP for Long-Term Soil Moisture Estimation With the Help of Deep Learning
Fang, K., Pan, M., & Shen, C. (2019) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2018.2872131 · Cited by 186
Metadata
- Authors
- Kerr, Y. H., Waldteufel, P., Wigneron, J.-P., Delwart, S., Cabot, F., Boutin, J., Escorihuela, M.-J., Font, J., Reul, N., Gruhier, C., Juglea, S. E., Drinkwater, M. R., Hahne, A., Martín-Neira, M., & Mecklenburg, S.
- Venue
- Proceedings of the IEEE
- Published
- 2010-05
- Volume
- 98
- Issue
- 5
- Pages
- 666-687
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2141219203
- Cited by
- 1,988
- References
- 0
- FWCI
- 72.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kerr, Y. H., Waldteufel, P., Wigneron, J.-P., Delwart, S., Cabot, F., Boutin, J., Escorihuela, M.-J., Font, J., Reul, N., Gruhier, C., Juglea, S. E., Drinkwater, M. R., Hahne, A., Martín-Neira, M., & Mecklenburg, S. (2010). The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2010.2043032
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