Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations

@inproceedings{Ivanova2015IntercomparisonAE,
  title={Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations},
  author={Natalia O. Ivanova and Leif Toudal Pedersen and Rasmus T. Tonboe and Stefan Kern and Georg Heygster and Thomas Lavergne and Arne S{\o}rensen and Roberto Saldo and Gorm Dybkj{\ae}r and Ludovic Brucker and Mohammed Shokr},
  year={2015}
}
Abstract. Sea ice concentration has been retrieved in polar regions with satellite microwave radiometers for over 30 years. However, the question remains as to what is an optimal sea ice concentration retrieval method for climate monitoring. This paper presents some of the key results of an extensive algorithm inter-comparison and evaluation experiment. The skills of 30 sea ice algorithms were evaluated systematically over low and high sea ice concentrations. Evaluation criteria included… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 63 REFERENCES

Sea ice emission modelling, in: Thermal Microwave Radiation

R. Tonboe, S. Andersen, L. Toudal, G. Heygster
  • AppliThe Cryosphere,
  • 2015