Geoscientific Instrumentation, Methods and Data Systems (Sep 2016)

Nordic Snow Radar Experiment

  • J. Lemmetyinen,
  • A. Kontu,
  • J. Pulliainen,
  • J. Vehviläinen,
  • K. Rautiainen,
  • A. Wiesmann,
  • C. Mätzler,
  • C. Werner,
  • H. Rott,
  • T. Nagler,
  • M. Schneebeli,
  • M. Proksch,
  • D. Schüttemeyer,
  • M. Kern,
  • M. W. J. Davidson

DOI
https://doi.org/10.5194/gi-5-403-2016
Journal volume & issue
Vol. 5, no. 2
pp. 403 – 415

Abstract

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The objective of the Nordic Snow Radar Experiment (NoSREx) campaign was to provide a continuous time series of active and passive microwave observations of snow cover at a representative location of the Arctic boreal forest area, covering a whole winter season. The activity was a part of Phase A studies for the ESA Earth Explorer 7 candidate mission CoReH2O (Cold Regions Hydrology High-resolution Observatory). The NoSREx campaign, conducted at the Finnish Meteorological Institute Arctic Research Centre (FMI-ARC) in Sodankylä, Finland, hosted a frequency scanning scatterometer operating at frequencies from X- to Ku-band. The radar observations were complemented by a microwave dual-polarization radiometer system operating from X- to W-bands. In situ measurements consisted of manual snow pit measurements at the main test site as well as extensive automated measurements on snow, ground and meteorological parameters. This study provides a summary of the obtained data, detailing measurement protocols for each microwave instrument and in situ reference data. A first analysis of the microwave signatures against snow parameters is given, also comparing observed radar backscattering and microwave emission to predictions of an active/passive forward model. All data, including the raw data observations, are available for research purposes through the European Space Agency and the Finnish Meteorological Institute. A consolidated dataset of observations, comprising the key microwave and in situ observations, is provided through the ESA campaign data portal to enable easy access to the data.