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• W2238202391 abstract "Abstract. Soil moisture is one of the main drivers in water, energy, and carbon cycles. Both latent and sensible heat fluxes, governing the air temperature and humidity boundary layer over land, are affected by variations in soil moisture. During the last decade there has been considerable development in remote sensing techniques relating to soil moisture retrievals over large areas. Within the framework of the European Space Agency's (ESA) Climate Change Initiative (CCI) a new soil moisture product has been generated, merging different satellite-based surface soil moisture based products. Such remotely sensed data needs to be validated by means of in-situ observations in different climatic regions. In that context, a comprehensive, distributed network of in-situ measurement stations gathering information on soil moisture, as well as soil temperature, has been set up in recent years at the Finnish Meteorological Institute's (FMI) Sodankylä Arctic research station. The network forms a (CAL-VAL) reference site and is used as a tool to evaluate the validity of satellite retrievals of soil properties. In this paper we present the Sodankylä CAL-VAL reference site soil moisture observation network. The procedures for choosing the representative sites for individual soil moisture network stations are discussed, as well as the development of a weighted average of top layer (5–10 cm) soil moisture over the study area. Comparisons of top layer soil moisture around the Sodankylä CAL-VAL site between the years 2012 and 2014 using ESA CCI soil moisture data against in-situ network observations were conducted. The comparisons were made against a single CCI data product pixel encapsulating the Sodankylä observation sites. Comparisons have been made against both daily CCI soil moisture estimates and against weekly running average values. Soil moisture comparisons are only conducted during snow free and thawed periods, as the presence of snow and soil frost interfere with Earth Observation (EO) data based soil moisture retrievals. While the overall achieved correlation between the CCI data product and in-situ observations was low (0.479), this was largely the result of a single year of observations (2014) with poor correlation metrics. The best values were achieved in 2012 and 2013 at 0.551 and 0.621. All years exhibit a negative (dry) bias ranging from 0.0346 to 0.046. Averaging CCI soil moisture data from daily to weekly estimates significantly improves both correlation and RMSE, but has little effect on bias. The average correlation between the CCI data product and weighted average in-situ observations improves from 0.479 to 0.637. The improvements in correlation are most pronounced in 2012 and 2013, with an improvement from 0.551 to 0.840 and from 0.621 to 0.813 respectively." @default.
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• W2238202391 date "2015-12-21" @default.
• W2238202391 modified "2023-09-23" @default.
• W2238202391 title "The Sodankylä in-situ soil moisture observation network: an example application to Earth Observation data product evaluation" @default.
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• W2238202391 doi "https://doi.org/10.5194/gid-5-599-2015" @default.
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