Skip to Main Content
Estimation of soil thermal properties using in-situ temperature measurements in the active layer and permafrost.Author(s): D.J. Nicolsky; V.E. Romanovsky; G.G. Panteleev
Source: Cold Regions Science and Technology. 55: 120-129
Publication Series: Scientific Journal (JRNL)
Download Publication (1.29 MB)
DescriptionA variational data assimilation algorithm is developed to reconstruct thermal properties, porosity, and parametrization of the unfrozen water content for fully saturated soils. The algorithm is tested with simulated synthetic temperatures. The simulations are performed to determine the robustness and sensitivity of algorithm to estimate soil properties from in-situ high resolution-in-time temperature records in the active layer and once-a-year measurements in a relatively deep borehole. The algorithm is applied to estimate soil properties at several sites along the Dalton Highway. The presented approach is quite general and can be applied to many problems requiring finding an optimal set of soil properties, and uncertainties in found values.
- Visit PNW's Publication Request Page to request a hard copy of this publication.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationNicolsky, D.J.; Romanovsky, V.E.; Panteleev, G.G. 2008. Estimation of soil thermal properties using in-situ temperature measurements in the active layer and permafrost. Cold Regions Science and Technology. 55: 120-129.
Keywordsthermal properties, soil freezing and thawing, inverse modeling, variational data assimilation
- Thermal particle image velocity estimation of fire plume flow
- Modeling soil thermal and carbon dynamics of a fire chronosequence in interior Alaska
- Simulating soil moisture change in a semiarid rangeland watershed with a process-based water-balance model
XML: View XML