Hydrology and Earth System Sciences www.hydrol-earth-syst-sci.net 1027-5606 1607-7938 14 6 2010 10.5194/hess-14-979-2010 http://www.hydrol-earth-syst-sci.net/14/979/2010/ http://www.hydrol-earth-syst-sci.net/14/979/2010/hess-14-979-2010.html http://www.hydrol-earth-syst-sci.net/14/979/2010/hess-14-979-2010.pdf 979 990 2010-06-18 Influence of cracking clays on satellite estimated and model simulated soil moisture Y. Y. Liu yi.y.liu@csiro.au J. P. Evans M. F. McCabe R. A. M. de Jeu A. I. J. M. van Dijk H. Su School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia Climate Change Research Centre, University of New South Wales, Sydney, Australia Department of Hydrology and Geo-Environmental Sciences, Faculty of Earth and Life Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands CSIRO Land and Water, Black Mountain Laboratories, Canberra, Australia Center for Research on Environment and Water, Calverton, MD, USA now at: School of Civil and Environmental Engineering, University of New South Wales, Sydney, Australia Vertisols are clay soils that are common in the monsoonal and dry warm regions of the world. One of the characteristics of these soil types is to form deep cracks during periods of extended dry, resulting in significant variation of the soil and hydrologic properties. Understanding the influence of these varying soil properties on the hydrological behavior of the system is of considerable interest, particularly in the retrieval or simulation of soil moisture. In this study we compare surface soil moisture (θ in m³ m⁻³) retrievals from AMSR-E using the VUA-NASA (Vrije Universiteit Amsterdam in collaboration with NASA) algorithm with simulations from the Community Land Model (CLM) over vertisol regions of mainland Australia. For the three-year period examined here (2003–2005), both products display reasonable agreement during wet periods. During dry periods however, AMSR-E retrieved near surface soil moisture falls below values for surrounding non-clay soils, while CLM simulations are higher. CLM θ are also higher than AMSR-E and their difference keeps increasing throughout these dry periods. To identify the possible causes for these discrepancies, the impacts of land use, topography, soil properties and surface temperature used in the AMSR-E algorithm, together with vegetation density and rainfall patterns, were investigated. However these do not explain the observed θ responses. Qualitative analysis of the retrieval model suggests that the most likely reason for the low AMSR-E θ is the increase in soil porosity and surface roughness resulting from cracking of the soil. To quantitatively identify the role of each factor, more in situ measurements of soil properties that can represent different stages of cracking need to be collected. CLM does not simulate the behavior of cracking soils, including the additional loss of moisture from the soil continuum during drying and the infiltration into cracks during rainfall events, which results in overestimated θ when cracks are present. 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