Articles | Volume 15, issue 3
https://doi.org/10.5194/os-15-831-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-15-831-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Jun 2019
Research article |
| 28 Jun 2019
| 28 Jun 2019
Characterizing ERA-Interim and ERA5 surface wind biases using ASCAT
Maria Belmonte Rivas
Royal Netherlands Meteorology Institute (KNMI), De Bilt, the Netherlands
Instituto de Ciencias del Mar (ICM), Consejo General de
Investigaciones Cientificas (CSIC), Barcelona, Spain
Royal Netherlands Meteorology Institute (KNMI), De Bilt, the Netherlands
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We provide a novel record of scatterometer sea ice extents and backscatter that complements the passive microwave products nicely, particularly for the correction of summer melt errors. The sea ice backscatter maps help differentiate between seasonal and perennial Arctic ice classes, and between second-year and older multiyear ice, revealing the emergence of SY ice as the dominant perennial ice type after the record loss in 2007 and attesting to its use as a proxy for ice thickness.
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Short summary
This paper describes the differences between ocean surface winds provided by ERA reanalyses and satellite scatterometer observations. This work is motivated by the widespread use of reanalysis winds for ocean forcing in marine forecasting centers and the application of observations to characterize reanalysis wind errors, which we conjecture are related to deficiencies in the physics of the underlying assimilating model (insufficient wind variability at high spatial and temporal frequencies).
This paper describes the differences between ocean surface winds provided by ERA reanalyses and...
