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https://doi.org/10.5194/essd-2020-117
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2020-117
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  16 Jul 2020

16 Jul 2020

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This preprint is currently under review for the journal ESSD.

Dielectric database of organic Arctic soils (DDOAS)

Igor Savin, Valery Mironov, Konstantin Muzalevskiy, Sergey Fomin, Andrey Karavayskiy, and Zdenek Ruzicka Igor Savin et al.
  • Kirensky Institute of Physics, Krasnoyarsk, 660036, Russia

Abstract. This article presents a Dielectric database of organic Arctic soils (DDOAS). The DDOAS was created based on dielectric measurements of seven samples of organic-rich soils collected in various parts of the Arctic tundra: Yamal and Taimyr Peninsula, Samoilovsky Island (the Russian Federation), and Northern Slope of Alaska (U.S.). The organic matter content (by weight) of the soil samples presented varied from 35 % to 90 %. The refractive index (RI) and normalized attenuation coefficient (NAC) were measured under laboratory conditions by the coaxial waveguide method in the frequency range from ~ 10 MHz to ~ 16 GHz, while the moisture content changed from air-dry to field capacity and the temperature from −40 °C to +25 °C. The total number of measured values of the RI and NAC contained in the database is more than 1.5 million values. The created database can serve not only as a source of experimental data for the development of new soil dielectric models for the Arctic tundra but also as a source of training data for artificial intelligence satellite algorithms of soil moisture retrievals based on neural networks. DDOAS is presented as Excel files. The files of DDOAS are available on http://doi.org/10.5281/zenodo.3819912.

Igor Savin et al.

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Igor Savin et al.

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Dielectric spectra of thawed and frozen wet organic Arctic soils Igor Savin and Valery Mironov https://doi.org/10.5281/zenodo.3819912

Igor Savin et al.

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Short summary
This article presents a Dielectric database of organic Arctic soils. These database was created based on dielectric measurements of seven samples of organic soils collected in various parts of the Arctic tundra. The created database can serve not only as a source of experimental data for the development of new soil dielectric models for the Arctic tundra but also as a source of training data for artificial intelligence satellite algorithms of soil moisture retrievals based on neural networks.
This article presents a Dielectric database of organic Arctic soils. These database was created...
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