Skip to main content
Log in

The statistical structure of the field of surface soil layer moisture from ground-based and satellite observations

  • Published:
Russian Meteorology and Hydrology Aims and scope Submit manuscript

Abstract

The following data was used: the archives of measurements of available water capacity carried out at Roshydromet network of stations and satellite measurements of relative humidity of the upper soil layer from ASCAT data (from the MetOp satellites). The statistical structure of the field of available water capacity in the upper 10- and 20-cm soil layers is assessed. The correlations between the Earth remote sensing data and data from agrometeorological stations are revealed. The procedure of automatic data checking from ground-based observations is developed. The algorithm is suggested for statistically optimal conversion of the Earth remote sensing data to the estimate of moisture content in the upper soil layer.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. O. A. Alduchov and V. A. Gordin, “3-D Correlation Functions of Basic Upper-Air Parameters,” Fizika Atmosferyi Okeana [Atmos. Oceanic Phys., No. 1, 37 (2001)].

    Google Scholar 

  2. A. N. Bagrov, Ph. L. Bykov, and V. A. Gordin, “Complex Forecast of Surface Meteorological Parameters,” Meteorol. Gidrol., No. 5 (2014) [Russ. Meteorol. Hydrol., No. 5, 39 (2014)].

  3. Ph. L. Bykov and V. A. Gordin, “Objective Analysis of the Structure of Three-dimensional Atmospheric Fronts,” Fizika Atmosfery i Okeana, No. 2, 48 (2012) [Atmos. Oceanic Phys., No. 2, 48 (2012)].

    Google Scholar 

  4. E. V. Vasilenko and L. L. Tarasova, “The Use of Data from the Instrument ASCAT/MetOp for Monitoring Soil Moisture,” Vestnik Moskovskogo Universiteta, Seriya 5, Geografiya (2015) [in Russian].

    Google Scholar 

  5. L. S. Gandin and R. L. Kagan, Statistical Methods of Interpretations of Meteorological Data (Leningrad, Gidrometeoizdat, 1976) [in Russian].

    Google Scholar 

  6. V. A. Gordin, “Coulomb-type Algorithm for Influent Stations’ Choice,” Meteorol. Gidrol., No. 12 (2003) [Russ. Meteorol. Hydrol., No. 12 (2003)].

  7. V. A. Gordin, Mathematics, Computer, Weather Forecasting, and Other Scenarios of Mathematical Physics (Fizmatlit, Moscow, 1st ed. 2010, 2nd ed. 2013) [in Russian].

    Google Scholar 

  8. V. F. Gridasov and Y. V. Astafyeva, “The Assessment of the Degree of Soil Moisture,” Meteospektr, No. 1 (2011) [in Russian].

  9. L. O. Karpachevsky, Ecological Soil Science (GEOS, Moscow, 2005) [in Russian].

    Google Scholar 

  10. A. V. Kislov and O. V. Barabanov, “Variability of Soil Moisture in Different Climatic Zones According to the Simulation,” Problems of Ecological Monitoring and Eco system Modeling, 24 (2011) [in Russian].

    Google Scholar 

  11. A. V. Kislov, M. I. Varentsov, and L. L. Tarasova, “Role of Spring Soil Moisture in the Formation of Large-scale Droughts in the East European Plain in 2002 and 2010,” Fizika Atmosfery i Okeana, No. 4, 51 (2015) [Atmos. Oceanic Phys., No. 4, 51 (2015)].

    Google Scholar 

  12. A. V. Meshcherskaya, N. A. Boldyreva, and N. D. Shapaeva, Average Regional Stocks of Productive Moisture in Soil and Snow Depth. Statistical Analysis and Examples of Usage (Gidrometeoizdat, Leningrad, 1982) [in Russian].

    Google Scholar 

  13. R. A. Poluektov, E. I. Smolyar, V. V. Terleev, and A. G. Topazh, Modeling of Production Process of Agricultural Crops (St. Petersburg University Press, St. Petersburg, 2006) [in Russian].

    Google Scholar 

  14. Guidance Document 52.33.217-99 Instruction for Hydrometeorological Stations and Posts, Issue 11: Agrometeorological Observation Stations and Posts, Part 1: Basic Agrometeorological Observations, Vol. 1 (Gidrometeoizdat, St. Petersburg, 2000) [in Russian].

  15. L. L. Tarasova, “Temporal and Spatial Structure of the Field of Reserves of Productive Moisture in the Soils of the Chernozem Zone of the European Part of Russia,” Vestnik Moskovskogo Universiteta, Seriya 5, Geografiya, No. 2 (2008) [in Russian].

    Google Scholar 

  16. Z. Bartalis, V. Naeimi, S. Hasenauer, and W. Wagner, ASCAT Soil Moisture Product Handbook ASCAT Soil Moisture Report Series, 2008, No. 15, Institute of Photogrammetry and Remote Sensing, University of Technology, Vienna, Austri.

  17. Consistent Validation of H-SAF Soil Moisture Satellite and Model Products against Ground Measurements for Selected Sites in Europe (Final Report, 2010), http://hsaf.meteoam.it/documents/reference/HSAF_AS_09_03_fi - nal_re port.pdf.

  18. R. Tateishi, N. Thanh Hoan, T. Kobayashi, et al., J. Geogr. and Geology, No. 3, 6 (2014), http://www.iscgm.org/gm/glcnmo.html.

    Google Scholar 

  19. B. K. Yadav, S. Mathur, and M. A. Siebel, “Soil Moisture Flow Modeling with Water Up take by Plants (Wheat) under Varying Soil and Moisture Conditions,” J. Irrig. Drain. Eng. (ASCE), 135 (2009).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ph. L. Bykov.

Additional information

Original Russian Text © Ph.L. Bykov, E.V. Vasilenko, V.A. Gordin, L.L. Tarasova, 2017, published in Meteorologiya i Gidrologiya, 2017, No. 6, pp. 68–84.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bykov, P.L., Vasilenko, E.V., Gordin, V.A. et al. The statistical structure of the field of surface soil layer moisture from ground-based and satellite observations. Russ. Meteorol. Hydrol. 42, 403–414 (2017). https://doi.org/10.3103/S1068373917060061

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S1068373917060061

Keywords

Navigation