Assimilation of Observed Soil Moisture Data in Storm Rainfall-Runoff Modeling

Estimation of antecedent wetness conditions is one of the most important aspects of storm rainfall-runoff modeling. This study investigated the use of observations of near-surface soil moisture carried out in a small experimental plot to estimate wetness conditions of five nested catchments, from 13 to 137 km2 in area, in Central Italy, including the plot itself. In particular, the relationship between the observed degree of saturation, θe , and the potential maximum retention parameter, S , of the soil conservation service-curve number (SCS-CN) method for abstraction was investigated using 15 rainfall-runoff events (ten for calibration and five for verification) that occurred in the period 2002–2005. Two antecedent precipitation indices (API) and one base flow index (BFI) were also considered for the estimation of wetness conditions. When interpreting S as the mean soil water deficit of the catchment, an inverse linear relationship with θe was found with the coefficient of determination decreasing with c...

[1]  C. W. Thornthwaite.  An approach toward a rational classification of climate. , 1948 .

[2]  J. Nash,et al.  River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .

[3]  R. Allan Freeze,et al.  Mathematical simulation of subsurface flow contributions to snowmelt runoff, Reynolds Creek Watershed, Idaho , 1974 .

[4]  C. T. Wang,et al.  A representation of an instantaneous unit hydrograph from geomorphology , 1980 .

[5]  G. Vachaud,et al.  Temporal Stability of Spatially Measured Soil Water Probability Density Function , 1985 .

[6]  F. Melone,et al.  Geomorphologic Approach to Synthesis of Direct Runoff Hydrograph from the Upper Tiber River Basin, Italy , 1986 .

[7]  Kazuo Nadaoka,et al.  Effect of initial soil moisture content on the vertical infiltration process — A guide to the problem of runoff-ratio and loss , 1988 .

[8]  Peter A. Troch,et al.  Effective water table depth to describe initial conditions prior to storm rainfall in humid regions , 1993 .

[9]  Thomas J. Jackson,et al.  Runoff simulation sensitivity to remotely sensed initial soil water content , 1994 .

[10]  Rodger B. Grayson,et al.  Distributed parameter hydrologic modelling using vector elevation data: THALES and TAPES-C. , 1995 .

[11]  V. Singh,et al.  Computer Models of Watershed Hydrology , 1995 .

[12]  V. Ponce,et al.  Runoff Curve Number: Has It Reached Maturity? , 1996 .

[13]  Bruno Merz,et al.  An analysis of the effects of spatial variability of soil and soil moisture on runoff , 1997 .

[14]  G. Roberts,et al.  Temporal variations in near surface soil moisture at two contrasting sites in the Wye catchment and their control on storm streamflow generation , 1997 .

[15]  Bruno Merz,et al.  Effects of spatial variability on the rainfall runoff process in a small loess catchment , 1998 .

[16]  Andrew W. Western,et al.  Towards areal estimation of soil water content from point measurements: time and space stability of mean response , 1998 .

[17]  W. J. Shuttleworth,et al.  Integration of soil moisture remote sensing and hydrologic modeling using data assimilation , 1998 .

[18]  Axel Bronstert,et al.  The role of spatial variability of soil moisture for modelling surface runoff generation at the small catchment scale , 1999 .

[19]  N. T. Kottegoda,et al.  Statistical modelling of daily streamflows using rainfall input and curve number technique. , 2000 .

[20]  Günter Blöschl,et al.  Spatial Patterns of Catchment Hydrology: Observations and Modelling , 2000 .

[21]  Niko E. C. Verhoest,et al.  The importance of the spatial patterns of remotely sensed soil moisture in the improvement of discharge predictions for small-scale basins through data assimilation , 2001 .

[22]  M. Menziani,et al.  TDR soil moisture measurements at the Lago Maggiore MAP target area: preliminary results , 2001 .

[23]  C. De Michele,et al.  On the derived flood frequency distribution: analytical formulation and the influence of antecedent soil moisture condition , 2002 .

[24]  Vijay P. Singh,et al.  Lag prediction in ungauged basins: an investigation through actual data of the upper Tiber River valley , 2002 .

[25]  M. Martínez-Mena,et al.  The role of antecedent soil water content in the runoff response of semiarid catchments: a simulation approach , 2003 .

[26]  Jennifer M. Jacobs,et al.  IMPROVED RAINFALL/RUNOFF ESTIMATES USING REMOTELY SENSED SOIL MOISTURE 1 , 2003 .

[27]  P. Matgen,et al.  Predicting peak discharge through empirical relationships between rainfall, groundwater level and basin humidity in the Alzette River basin (Grand-Duchy of Luxembourg) , 2003 .

[28]  José Martínez-Fernández,et al.  Temporal Stability of Soil Moisture in a Large‐Field Experiment in Spain , 2003 .

[29]  D. Aubert,et al.  Sequential assimilation of soil moisture and streamflow data in a conceptual rainfall-runoff model , 2003 .

[30]  Allen T. Hjelmfelt,et al.  Runoff Curve Number Method: Examination of the Initial Abstraction Ratio , 2003 .

[31]  Jeffrey J. McDonnell,et al.  How does rainfall become runoff? A combined tracer and runoff transfer function approach , 2003 .

[32]  A. Western,et al.  On the relationship between runoff coefficient and catchment initial conditions , 2003 .

[33]  François Anctil,et al.  A soil moisture index as an auxiliary ANN input for stream flow forecasting , 2004 .

[34]  Erwin Zehe,et al.  Predictability of hydrologic response at the plot and catchment scales: Role of initial conditions , 2004 .

[35]  Klaus Scipal,et al.  Soil moisture-runoff relation at the catchment scale as observed with coarse resolution microwave remote sensing , 2005 .

[36]  Nanée Chahinian,et al.  Comparison of infiltration models to simulate flood events at the field scale , 2005 .

[37]  V. Singh,et al.  Catchment area‐based evaluation of the AMC‐dependent SCS‐CN‐based rainfall–runoff models , 2005 .

[38]  A. Berg,et al.  Streamflow predictability in the Saskatchewan/Nelson River basin given macroscale estimates of the initial soil moisture status , 2006 .

[39]  Dirk F. Young,et al.  Implementation of a probabilistic curve number method in the PRZM runoff model , 2006, Environ. Model. Softw..

[40]  P. Young,et al.  Data assimilation and adaptive forecasting of water levels in the river Severn catchment, United Kingdom , 2006 .

[41]  M. Shao,et al.  Use of soil moisture data and curve number method for estimating runoff in the Loess Plateau of China , 2007 .

[42]  Luca Brocca,et al.  Soil moisture spatial variability in experimental areas of central Italy , 2007 .

[43]  Changming Liu,et al.  Experimental study on lag time for a small watershed , 2007 .

[44]  Luca Brocca,et al.  On the estimation of antecedent wetness conditions in rainfall–runoff modelling , 2008 .

[45]  Luca Brocca,et al.  Soil moisture temporal stability over experimental areas in Central Italy. , 2009 .