Vol. 29, issue 09, article # 11

Bogoslovsky N. N., Kizhner L. I., Borodina I. A., Rudikov D. S., Erin S. I., Alipova K. A. Quality control of satellite soil moisture measurements. // Optika Atmosfery i Okeana. 2016. V. 29. No. 09. P. 791–796. DOI: 10.15372/AOO20160911 [in Russian].
Copy the reference to clipboard

Soil moisture determines water and thermal regimes of the soil and the surface boundary layer of the atmosphere. It is an important factor in hydrology, ecology, climatology, meteorology, and agriculture. Nowadays, soil moisture is mostly measured with satellite remote sensing systems.
The data measured by a satellite during the warm period of 2011–2012 years has been compared with data direct measured at 5 networks of weather stations in the USA. The aim of this study is evaluation of the soil moisture satellite data, finding regularities, anomalies and their causes, and development of satellite data quality control procedure for data assimilation system. Satisfactory agreement between two kinds of data observed has been shown. Areas with good and poor dependence were identified. These results can be used in other regions with similar underlying surfaces and orography. Criteria for satellite data quality control procedures are proposed.


soil moisture, the satellite observation, the observation network on soil moisture, atmospheric numerical forecasting model


  1. Dharssi I., Bovis K., Macpherson B., Jones C. Operational assimilation of ASCAT surface soil wetness at the Met Office // Hydrol. Earth Syst. Sci. 2011. V. 15, iss. 8. P. 2729–2746.
  2. Drusch M., Scipal K., Rosnay K., Balsamo G., Andersson E., Bougeault P. Towards a Kalman Filter based soil moisture analysis system for the operational ECMWF Integrated Forecast System // Geophys. Res. Lett. 2009. V. 36. P. L10401.
  3. Naeimi V., Bartalis Z., Wagner W. ASCAT soil moisture: An assessment of the data quality and consistency with the ERS scatterometer heritage // J. Hydrometeorol. 2009. V. 10, N 2. P. 555–563.
  4. Bartalis Z., Naeimi V., Hasenauer S., Wagner W. ASCAT Soil Moisture Product Handbook // ASCAT Soil Moisture Report Series. Institute of Photogrammetry and Remote Sensing, Vienna University of Technology, Austria. 2008. N 15. P. 1–22.
  5. Paulik C., Dorigo W., Wagner W., Kidd R. Validation of the ASCAT soil water index using in situ data from the International Soil Moisture Network // Int. J. Appl. Earth Observ. Geoinform. 2014. V. 30. P. 1–8.
  6. Bartalis Z., Wagner W., Naeimi V., Hasenauer S., Scipal K., Bonekamp H., Figa J., Anderson C. Initial soil moisture retrievals from the METOP-A Advanced Scatterometer (ASCAT) // Geophys. Res. Lett. 2007. V. 34. P. L20401.
  7. Muskett R.R., Romanovsky V.E., Cable W.L., Kholodov А.L. Active-layer soil moisture content regional variations in Alaska and Russia by ground-based and satellite-based methods, 2002 through 2014 // Int. J. Geosci. 2015. V. 6. P. 12–41.
  8. Tolstykh M.A., Geleyn J.F., Volodin E.M., Bogoslovskii N.N., Vilfand R.M., Kiktev D.B., Krasjuk T.V., Kostrykin S.V., Mizyak V.G., Fadeev R.Yu., Shashkin V.V., Shlyaeva A.V., Ezau I.N., Yurova A.Yu. Development of the multiscale version of the SL-AV global atmosphere model // Russian Meteorol. Hydrol. 2015. V. 40, N 6. P. 374–382.
  9. Borodina I.A., Kizhner L.I., Bogoslovskij N.N., Erin S.I., Rudikov D.S. Sravnenie sputnikovyh dannyh izmerenij vlazhnosti pochvy ASCAT s prjamymi izmerenijami // Vestn. Tom. gos. un-ta. 2014. N 380. P. 181–184.
  10. Kalman R., Bucy R. New results in linear filtering and prediction theory // J. Basic Engin. 1961. N 83. P. 95–108.
  11. Remote Sensing Group. URL: http://rs.geo.tuwien.ac.at/remote-sensing/
  12. U.S. Climate Reference Network. National Oceanic and Atmospheric Administration's (NOAA) National Centers for Environmental Information. URL: http://www1.ncdc.noaa.gov/pub/data/ uscrn/documentation / site/sensors/soil/Descriptions/Soil_StevensHydra-SDI-12.pdf
  13. International Soil Moisture Network. URL: https://ismn.geo.tuwien.ac.at/
  14. IASI/AVHRR Visual Scenes Analysis and Cloud Detection. EUMETSAT. URL: http://www.brockmann-consult.de/iavisa-info-web/data-set-generation.html
  15. Poljarno-orbital'naja sputnikovaja sistema MetOp. Nauchno-issledovatel'skij centr kosmicheskoj gidrometeorologii «Planeta». URL: http://planet.iitp.ru/spacecraft/metop_rus.htm
  16. Dagurov P.N., Dmitriev A.V., Dymbrylov Zh.B., Radnaeva S.B. Radiojarkostnaja temperatura zemnyh pokrovov, izmerennaja mikrovolnovym radiometrom SMOS, i zadacha vosstanovlenija vlazhnosti pochvy // Optika atmosf. i okeana. 2014. V. 27, N 7. P. 605–609.
  17. Isaev A.A. Statistika v meteorologii i klimatologii. M.: Izdatelstvo MGU, 1988. 248 p.