Estimating field-scale root zone soil moisture using the cosmic-ray neutron probe

Abstract. Many practical hydrological, meteorological, and agricultural management problems require estimates of soil moisture with an areal footprint equivalent to field scale, integrated over the entire root zone. The cosmic-ray neutron probe is a promising instrument to provide field-scale areal coverage, but these observations are shallow and require depth-scaling in order to be considered representative of the entire root zone. A study to identify appropriate depth-scaling techniques was conducted at a grazing pasture site in central Saskatchewan, Canada over a 2-year period. Area-averaged soil moisture was assessed using a cosmic-ray neutron probe. Root zone soil moisture was measured at 21 locations within the 500 m  ×  500 m study area, using a down-hole neutron probe. The cosmic-ray neutron probe was found to provide accurate estimates of field-scale surface soil moisture, but measurements represented less than 40 % of the seasonal change in root zone storage due to its shallow measurement depth. The root zone estimation methods evaluated were: (a) the coupling of the cosmic-ray neutron probe with a time-stable neutron probe monitoring location, (b) coupling the cosmic-ray neutron probe with a representative landscape unit monitoring approach, and (c) convolution of the cosmic-ray neutron probe measurements with the exponential filter. The time stability method provided the best estimate of root zone soil moisture (RMSE  =  0.005 cm3 cm−3), followed by the exponential filter (RMSE  =  0.014 cm3 cm−3). The landscape unit approach, which required no calibration, had a negative bias but estimated the cumulative change in storage reasonably. The feasibility of applying these methods to field sites without existing instrumentation is discussed. Based upon its observed performance and its minimal data requirements, it is concluded that the exponential filter method has the most potential for estimating root zone soil moisture from cosmic-ray neutron probe data.

[1]  M. Zreda,et al.  Footprint characteristics revised for field‐scale soil moisture monitoring with cosmic‐ray neutrons , 2015, 1602.04469.

[2]  Rafael Rosolem,et al.  Translating aboveground cosmic-ray neutron intensity to high-frequency soil moisture profiles at sub-kilometer scale , 2014 .

[3]  Gabriele Baroni,et al.  Inverse modelling of cosmic‐ray soil moisture for field‐scale soil hydraulic parameters , 2014 .

[4]  Harrie-Jan Hendricks Franssen,et al.  Correction of systematic model forcing bias of CLM using assimilation of cosmic-ray Neutrons and land surface temperature: a study in the Heihe Catchment, China , 2014 .

[5]  J. Wallace,et al.  Calibration and correction procedures for cosmic‐ray neutron soil moisture probes located across Australia , 2014 .

[6]  Michael H. Cosh,et al.  Calibration and Validation of the COSMOS Rover for Surface Soil Moisture Measurement , 2014 .

[7]  H. Hendricks Franssen,et al.  Accuracy of the cosmic‐ray soil water content probe in humid forest ecosystems: The worst case scenario , 2013 .

[8]  Rafael Rosolem,et al.  The COsmic-ray Soil Moisture Interaction Code (COSMIC) for use in data assimilation , 2013 .

[9]  S. Quiring,et al.  Estimating root zone soil moisture using near-surface observations from SMOS , 2013 .

[10]  Pute Wu,et al.  Estimating the spatial means and variability of root-zone soil moisture in gullies using measurements from nearby uplands , 2013 .

[11]  W. J. Shuttleworth,et al.  COSMOS: the COsmic-ray Soil Moisture Observing System , 2012 .

[12]  T. Ferré,et al.  Field Validation of a Cosmic‐Ray Neutron Sensor Using a Distributed Sensor Network , 2012 .

[13]  Rafael Rosolem,et al.  Measurement depth of the cosmic ray soil moisture probe affected by hydrogen from various sources , 2012 .

[14]  Brian K. Hornbuckle,et al.  The potential of the COSMOS network to be a source of new soil moisture information for SMOS and SMAP , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[15]  G. Heathman,et al.  Application of observation operators for field scale soil moisture averages and variances in agricultural landscapes , 2012 .

[16]  Jeffrey P. Walker,et al.  Upscaling sparse ground‐based soil moisture observations for the validation of coarse‐resolution satellite soil moisture products , 2012 .

[17]  B. Si,et al.  Factors controlling soil water storage in the hummocky landscape of the Prairie Pothole Region of North America , 2012, Canadian Journal of Soil Science.

[18]  G. Senay,et al.  A multi-source satellite data approach for modelling Lake Turkana water level: calibration and validation using satellite altimetry data , 2012 .

[19]  B. Si,et al.  Factors controlling soil water storage in the hummocky landscape of the Prairie Pothole Region of North America , 2012 .

[20]  S. Oswald,et al.  Integral quantification of seasonal soil moisture changes in farmland by cosmic-ray neutrons , 2011 .

[21]  T. Ferré,et al.  Nature's neutron probe: Land surface hydrology at an elusive scale with cosmic rays , 2010 .

[22]  W. Wagner,et al.  Improving runoff prediction through the assimilation of the ASCAT soil moisture product , 2010 .

[23]  R. Horn,et al.  Controls of surface soil moisture spatial patterns and their temporal stability in a semi‐arid steppe , 2010 .

[24]  Yann Kerr,et al.  The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle , 2010, Proceedings of the IEEE.

[25]  Luca Brocca,et al.  Spatial‐temporal variability of soil moisture and its estimation across scales , 2010 .

[26]  C. Albergel,et al.  From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations , 2008 .

[27]  Wolfgang Wagner,et al.  Scatterometer-Derived Soil Moisture Calibrated for Soil Texture With a One-Dimensional Water-Flow Model , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[28]  R. Scott,et al.  Measuring soil moisture content non‐invasively at intermediate spatial scale using cosmic‐ray neutrons , 2008 .

[29]  C. Albergel,et al.  An evaluation of ASCAT surface soil moisture products with in-situ observations in Southwestern France , 2008 .

[30]  François Hupet,et al.  Estimating spatial mean root-zone soil moisture from point-scale observations , 2006 .

[31]  Klaus Scipal,et al.  Validation of ERS scatterometer‐derived soil moisture data in the central part of the Duero Basin, Spain , 2005 .

[32]  Douglas A. Miller,et al.  SMEX02: Field scale variability, time stability and similarity of soil moisture , 2004 .

[33]  Günter Blöschl,et al.  Spatial correlation of soil moisture in small catchments and its relationship to dominant spatial hydrological processes , 2004 .

[34]  Thomas J. Jackson,et al.  Assimilation of surface soil moisture to estimate profile soil water content , 2003 .

[35]  Todd H. Skaggs,et al.  Spatio-temporal evolution and time-stable characteristics of soil moisture within remote sensing footprints with varying soil, slope, and vegetation , 2001 .

[36]  Jetse D. Kalma,et al.  One-dimensional soil moisture profile retrieval by assimilation of near-surface observations: a comparison of retrieval algorithms , 2001 .

[37]  Jean-Christophe Calvet,et al.  From Near-Surface to Root-Zone Soil Moisture Using Year-Round Data , 2000 .

[38]  W. Wagner,et al.  A Method for Estimating Soil Moisture from ERS Scatterometer and Soil Data , 1999 .

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

[40]  R. Ragab,et al.  Towards a continuous operational system to estimate the root-zone soil moisture from intermittent remotely sensed surface moisture , 1995 .

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

[42]  T. Jackson,et al.  Surface soil moisture variation on small agricultural watersheds , 1983 .