Hillslope-scale probabilistic characterization of soil moisture dynamics and average water balance

2012 ◽  
Vol 27 (10) ◽  
pp. 1464-1474 ◽  
Author(s):  
Xingyao Pan ◽  
Nicholas J. Potter ◽  
Jun Xia ◽  
Lu Zhang
Keyword(s):  
Soil Moisture ◽  
Water Balance ◽  
Soil Moisture Dynamics ◽  
Probabilistic Characterization ◽  
Average Water ◽  
Hillslope Scale ◽  
Moisture Dynamics

scholarly journals Probabilistic inference of ecohydrological parameters using observations from point to satellite scales

2018 ◽  
Vol 22 (6) ◽  
pp. 3229-3243 ◽  
Author(s):  
Maoya Bassiouni ◽  
Chad W. Higgins ◽  
Christopher J. Still ◽  
Stephen P. Good
Keyword(s):  
Soil Moisture ◽  
Water Balance ◽  
Soil Water ◽  
Dry Season ◽  
Soil Water Balance ◽  
Rainfall Pattern ◽  
Site Specific ◽  
Soil Moisture Dynamics ◽  
Soil Saturation ◽  
Moisture Dynamics

Abstract. Vegetation controls on soil moisture dynamics are challenging to measure and translate into scale- and site-specific ecohydrological parameters for simple soil water balance models. We hypothesize that empirical probability density functions (pdfs) of relative soil moisture or soil saturation encode sufficient information to determine these ecohydrological parameters. Further, these parameters can be estimated through inverse modeling of the analytical equation for soil saturation pdfs, derived from the commonly used stochastic soil water balance framework. We developed a generalizable Bayesian inference framework to estimate ecohydrological parameters consistent with empirical soil saturation pdfs derived from observations at point, footprint, and satellite scales. We applied the inference method to four sites with different land cover and climate assuming (i) an annual rainfall pattern and (ii) a wet season rainfall pattern with a dry season of negligible rainfall. The Nash–Sutcliffe efficiencies of the analytical model's fit to soil observations ranged from 0.89 to 0.99. The coefficient of variation of posterior parameter distributions ranged from < 1 to 15 %. The parameter identifiability was not significantly improved in the more complex seasonal model; however, small differences in parameter values indicate that the annual model may have absorbed dry season dynamics. Parameter estimates were most constrained for scales and locations at which soil water dynamics are more sensitive to the fitted ecohydrological parameters of interest. In these cases, model inversion converged more slowly but ultimately provided better goodness of fit and lower uncertainty. Results were robust using as few as 100 daily observations randomly sampled from the full records, demonstrating the advantage of analyzing soil saturation pdfs instead of time series to estimate ecohydrological parameters from sparse records. Our work combines modeling and empirical approaches in ecohydrology and provides a simple framework to obtain scale- and site-specific analytical descriptions of soil moisture dynamics consistent with soil moisture observations.

Soil Moisture Dynamics and Effects on Runoff Generation at Small Hillslope Scale

2015 ◽  
Vol 20 (7) ◽  
pp. 05014024 ◽  
Author(s):  
Nana Zhao ◽  
Fuliang Yu ◽  
Chuanzhe Li ◽  
Lu Zhang ◽  
Jia Liu ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Runoff Generation ◽  
Soil Moisture Dynamics ◽  
Hillslope Scale ◽  
Moisture Dynamics

A hillslope scale comparison of tree species influence on soil moisture dynamics and runoff processes during intense rainfall

2012 ◽  
Vol 420-421 ◽  
pp. 112-124 ◽  
Author(s):  
Georg Jost ◽  
Helmut Schume ◽  
Herbert Hager ◽  
Gerhard Markart ◽  
Bernhard Kohl
Keyword(s):  
Soil Moisture ◽  
Tree Species ◽  
Intense Rainfall ◽  
Soil Moisture Dynamics ◽  
Hillslope Scale ◽  
Moisture Dynamics

scholarly journals Calibration, measurement, and characterization of soil moisture dynamics in a central Amazonian tropical forest

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Robinson Negrón‐Juárez ◽  
Savio J. F. Ferreira ◽  
Marcelo Crestani Mota ◽  
Boris Faybishenko ◽  
Maria Terezinha F. Monteiro ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Tropical Forest ◽  
Soil Moisture Dynamics ◽  
Calibration Measurement ◽  
Moisture Dynamics

scholarly journals The potential of observed soil moisture dynamics for predicting summer evapotranspiration in a successional chronosequence

2011 ◽  
Vol 8 (3) ◽  
pp. 5301-5318
Author(s):  
J. A. Breña Naranjo ◽  
M. Weiler ◽  
K. Stahl
Keyword(s):  
Soil Moisture ◽  
Water Balance ◽  
Large Scale ◽  
Forest Cover ◽  
Climatic Variability ◽  
Time Step ◽  
Flow Measurements ◽  
Acceptable Error ◽  
Soil Moisture Dynamics ◽  
Moisture Dynamics

Abstract. The hydrology of ecosystem succession gives rise to new challenges for the analysis and modeling of water balance components. Recent large-scale alterations of forest cover across the globe suggest that a significant portion of new biophysical environments will influence the long-term dynamics and limits of water fluxes compared to pre-succession conditions. This study explores the potential of modeling actual evapotranspiration (AET) in the summer along a successional forest by observed soil moisture dynamics. We applied two parsimonious data-driven soil water balance models to the Canadian FLUXNET sites at Campbell River, British Columbia. Simulated AET was compared to water vapor measurements from 2001 to 2008 and the models' sensitivity to inter-annual climatic variability and computation time step was tested. With the exception of the mature forest during an extremely dry summer, the results confirm the potential of using observed soil moisture dynamics as a method to estimate summer AET within an acceptable error range albeit substantial differences along the successional forested ecosystem. The study suggests that summer AET could be estimated and monitored in many more places than those equipped with eddy-covariance or sap-flow measurements to advance the understanding of the water balance of different successional ecosystems.

Soil moisture dynamics of different land-cover types in the blacksoil regions of China

2009 ◽  
Vol 17 (2) ◽  
pp. 256-260 ◽  
Author(s):  
Feng WANG ◽  
Shu-Qi WANG ◽  
Xiao-Zeng HAN ◽  
Feng-Xian WANG ◽  
Ke-Qiang ZHANG
Keyword(s):  
Soil Moisture ◽  
Land Cover ◽  
Soil Moisture Dynamics ◽  
Land Cover Types ◽  
Moisture Dynamics
Sign in / Sign up

Export Citation Format

Share Document