Polar maps of c-band backscatter parameters from the advanced scatterometer

Cartwright, Jessica; Fraser, Alexander D.; Porter-Smith, Richard. 2022 Polar maps of c-band backscatter parameters from the advanced scatterometer. Earth System Science Data, 14 (2). 479-490. 10.5194/essd-14-479-2022

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Official URL: http://dx.doi.org/10.5194/essd-14-479-2022

Abstract/Summary

Maps of backscatter anisotropy parameters from the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Advanced Scatterometer (ASCAT), a C-band fan-beam scatterometer, contain unique and valuable data characterising the surface and subsurface of various cryospheric elements, including sea ice and ice sheets. The computational expense and considerable complexity required to produce parameter maps from the raw backscatter data inhibits the wider adoption of ASCAT data. Here, backscatter anisotropy parameter maps gridded at a resolution of 12.5 km per pixel are made available to the community in order to facilitate the exploitation of these parameters for cryospheric applications. These maps have been calculated from the EUMETSAT Level 1B Sigma0 product acquired from ASCAT on board MetOp-A, MetOp-B and MetOp-C. The dataset is unique in that it prioritises anisotropy characterisation over temporal resolution and combines ASCAT data from multiple platforms. The parameterisation chosen assumes a linear falloff of backscatter with incidence angle and a fourth-order Fourier series parameterisation of azimuth angle anisotropy. The product (Fraser and Cartwright, 2022) is available at https://doi.org/10.26179/91c9-4783 presented on three timescales depending on orbital platform availability: 5 d (2007 to 2020 – MetOp-A only – suitable for users requiring a long time series), 2 d (2013 to 2020 – MetOp-A and MetOp-B) and 1 d resolution (2019–2020 – MetOp -A, MetOp-B and MetOp-C – suitable for users needing both high temporal resolution and detailed anisotropy characterisation). Datasets will be updated annually.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.5194/essd-14-479-2022
ISSN:	1866-3516
Date made live:	08 Apr 2022 09:41 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/532336

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.5194/essd-14-479-2022

ISSN:

1866-3516

Date made live:

08 Apr 2022 09:41 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/532336