A terrain and data-based method for generating the spatial distribution of soil moisture

Wilson, David J.; Western, Andrew W.; Grayson, Rodger B.

doi:10.1016/j.advwatres.2004.09.007

Cited by 131 publications

(104 citation statements)

References 25 publications

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“…a coarse grid of soil moisture values rather than a single average soil moisture value). Some studies have not encountered this issue because they have focused on downscaling within an area that falls within a single coarse grid cell [Busch et al, 2012, Coleman and Niemann, 2013, Pellenq et al, 2003, Perry and Niemann, 2007, Ranney et al, 2015, Wilson et al, 2005. Other studies have downscaled multiple coarse grid values but have not considered this issue in depth.…”

Section: Perry and Niemannmentioning

confidence: 99%

“…Wilson et al [2005] downscaled soil moisture in five catchments to 10-40 m resolutions using empirical relationships with topographic attributes. Busch et al [2012] extended the EOF method of Perry and Niemann [2007] by estimating the soil moisture EOFs from topographic data, and Coleman and Niemann [2013] used a conceptual water balance called the Equilibrium Moisture from Topography (EMT) model to downscale a catchment-wide average soil moisture to 10-40 m patterns at three catchments.…”

Section: Perry and Niemannmentioning

confidence: 99%

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Downscaling soil moisture over regions that include multiple coarse-resolution grid cells

Hoehn

Niemann

Green

et al. 2017

Remote Sensing of Environment

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Section: Perry and Niemannmentioning

confidence: 99%

Section: Perry and Niemannmentioning

confidence: 99%

Downscaling soil moisture over regions that include multiple coarse-resolution grid cells

Hoehn

Niemann

Green

et al. 2017

Remote Sensing of Environment

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“…The fact that different controls operate on the spatial soil moisture pattern depending on the mean moisture content (e.g. Teuling and Troch, 2005;Wilson et al, 2005) has important implications for soil moisture sampling and the applicability of the rank stability concept. For instance, Martínez-Fernández and Ceballos (2005) concluded that it might take a year of sampling (a complete seasonal cycle) to correctly identify the most rank stable site.…”

Section: Introductionmentioning

confidence: 99%

Estimating spatial mean root-zone soil moisture from point-scale observations

Teuling

Uijlenhoet

Hupet

et al. 2006

Hydrol. Earth Syst. Sci.

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Abstract. Root zone soil moisture is a key variable in many land surface hydrology models. Often, however, there is a mismatch in the spatial scales at which models simulate soil moisture and at which soil moisture is observed. This complicates model validation. The increased availability of detailed datasets on space-time variability of root-zone soil moisture allows for a posteriori analysis of the uncertainties in the relation between point-scale observations and the spatial mean. In this paper we analyze three comprehensive datasets from three different regions. We identify different strategies to select observation sites. For instance, sites can be located randomly or according to the rank stability concept. For each strategy, we present methods to quantify the uncertainty that is associated with this strategy. In general there is a large correspondence between the different datasets with respect to the relative uncertainties for the different strategies. For all datasets, the uncertainty can be strongly reduced if some information is available that relates soil moisture content at that site to the spatial mean. However this works best if the space-time dynamics of the soil moisture field are known. Selection of the site closest to the spatial mean on a single random date only leads to minor reduction of the uncertainty with respect to the spatial mean over seasonal timescales. Since soil moisture variability is the result of a complex interaction between soil, vegetation, and landscape characteristics, the soil moisture field will be correlated with some of these characteristics. Using available information, we show that the correlation with leaf area index or a wetness coefficient alone is insufficient to predict if a site is representative for the spatial mean soil moisture content.

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“…Catchment hydrology typically focuses on the understanding of the effect of the spatiotemporal distribution of soil and topographical properties on the soil moisture pattern or on the runoff response (e.g. Wilson et al, 2005). Both objects of interest, species, soil moisture, and runoff, play important roles in specific landscape functions as for instance biomass production, nutrient cycling, or groundwater recharge.…”

Section: Introductionmentioning

confidence: 99%

Pattern, process, and function in landscape ecology and catchment hydrology – how can quantitative landscape ecology support predictions in ungauged basins?

Schröder

2006

Hydrol. Earth Syst. Sci.

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Abstract. The understanding of landscape controls on the natural variability of hydrologic processes is an important research question of the PUB (Predictions in Ungauged Basins) initiative. Quantitative landscape ecology, which aims at understanding the relationships of patterns and processes in dynamic heterogeneous landscapes, may greatly contribute to this research effort by assisting the coupling of ecological and hydrological models.The present paper reviews the currently emerging rapprochement between ecological and hydrological research. It points out some common concepts and future research needs in both areas in terms of pattern, process and function analysis and modelling. Focusing on riverine as well as semi-arid landscapes, the interrelations between ecological and hydrological processes are illustrated. Three complementary examples show how both disciplines can provide valuable information for each other. I close with some visions about promising (landscape) ecological concepts that may help advancing one of the most challenging tasks in catchment hydrology: Predictions in ungauged basins.

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A terrain and data-based method for generating the spatial distribution of soil moisture

Cited by 131 publications

References 25 publications

Downscaling soil moisture over regions that include multiple coarse-resolution grid cells

Downscaling soil moisture over regions that include multiple coarse-resolution grid cells

Estimating spatial mean root-zone soil moisture from point-scale observations

Pattern, process, and function in landscape ecology and catchment hydrology – how can quantitative landscape ecology support predictions in ungauged basins?

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