Abstract
The Soil Moisture and Ocean Salinity (SMOS) satellite carries a passive microwave radiometer working at 1.4 GHz (L-Band). A unique synthetic aperture antenna consisting of several small antennas allows SMOS to observe a single geographic location under various incidence angles within single overflights. Here we present a preprocessing method starting from SMOS Level 1C data for sea ice applications which reduces the instrumental noise and filters radio frequency interference while preserving valuable data better than previously suggested methods in cryospheric applications. The filter employs binning on incidence angles, so that the filtered data can be used for comparison with surface emissivity models or may serve as input to retrieval procedures.
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Acknowledgments
Financial support of the Federal Ministry of Education and Research/Bundesministerium für Bildung und Forschung (BMBF) MiKliP project Climate Model Validation by confronting globally Essential Climate Variables from models with observations (ClimVal) is gratefully acknowledged. We also thank the reviewers for their valuable comments and suggestions.
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Huntemann, M., Heygster, G. (2015). A New Method to Filter Out Radio-Frequency Interference (RFI) from SMOS Level 1C Data for Sea Ice Applications. In: Lohmann, G., Meggers, H., Unnithan, V., Wolf-Gladrow, D., Notholt, J., Bracher, A. (eds) Towards an Interdisciplinary Approach in Earth System Science. Springer Earth System Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-13865-7_11
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DOI: https://doi.org/10.1007/978-3-319-13865-7_11
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