Examining the relationship between intermediate-scale soil moisture and terrestrial evaporation within a semi-arid grassland

Abstract

Abstract. Interactions between soil moisture and terrestrial evaporation affect water cycle behaviour and responses between the land surface and the atmosphere across scales. With strong heterogeneities at the land surface, the inherent spatial variability in soil moisture makes its representation via point-scale measurements challenging, resulting in scale mismatch when compared to coarser-resolution satellitebased soil moisture or evaporation estimates. The Cosmic Ray Neutron Probe (CRNP) was developed to address such issues in the measurement and representation of soil moisture at intermediate scales.Here, we present a study to assess the utility of CRNP soil moisture observations in validating model evaporation estimates. The CRNP soil moisture product from a pasture in the semi-arid central west region of New South Wales, Australia, was compared to evaporation derived from three distinct approaches, including the Priestley-Taylor (PT-JPL), Penman-Monteith (PM-Mu), and Surface Energy Balance System (SEBS) models, driven by forcing data from local meteorological station data and remote sensing retrievals from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. Pearson's correlations, quantile-quantile (Q-Q) plots, and analysis of variance (ANOVA) were used to qualitatively and quantitatively evaluate the temporal distributions of soil moisture and evaporation over the study site. The relationships were examined against nearly 2 years of observation data, as well as for different seasons and for defined periods of analysis. Results highlight that while direct correlations of raw data were not particularly instructive, the Q-Q plots and ANOVA illustrate that the root-zone soil moisture represented by the CRNP measurements and the modelled evaporation estimates reflect similar distributions under most meteorological conditions. The PT-JPL and PM-Mu model estimates performed contrary to expectation when high soil moisture and cold temperatures were present, while SEBS model estimates displayed a disconnect from the soil moisture distribution in summers with long dry spells. Importantly, no single evaporation model matched the statistical distribution of the measured soil moisture for the entire period, highlighting the challenges in effectively capturing evaporative flux response within changing landscapes. One of the outcomes of this work is that the analysis points to the feasibility of using intermediatescale soil moisture measurements to evaluate gridded estimates of evaporation, exploiting the independent, yet physically linked nature of these hydrological variables.

Response of water vapour D-excess to land–atmosphere interactions in a semi-arid environment

“…Mass balance or Keeling-mixing (Keeling, 1958;Wang et al, 2013a) models have been applied to determine the isotopic composition of ET fluxes from chamber measurements (Lu et al, 2017;Wang et al, 2013b). The focus of this work was not to evaluate chamber measurement techniques.…”

Spatial Variation of Top Soil Moisture in Semi-Arid Agro-Pastoral Ecotone and Its Response to Spatial Driving Factors: A Case Study in the Sanggan River Basin, China

“…In tropical regions, the seasonal fluctuations of precipitation and evaporation significantly influence the variability of TSM [12]. In semi-arid areas, the combination of scarce rainfall and high evaporation intensifies the variability of TSM [13,14]. Climate factors have a significant impact on TSM in the semi-arid agro-pastoral ecotone.…”

Evaluating the hydrological consistency of evaporation products using satellite-based gravity and rainfall data

“…Recently, several of these models have been used to develop global-scale evaporation products by combining satellite observations of surface variables with meteorological and other ancillary data Miralles et al, 2016). When ground-based flux observations are available, they can be used for calibration and evaluation (McCabe et al, 2005a), but large-scale assessment is inevitably constrained by the lack of distributed and representative in situ networks to comprehensively assess simulations as well as the inherent uncertainty associated with these observations (Jana et al, 2016). Some recent evaluation efforts have sought to estimate the uncertainty of satellite-based evaporation products as well as those from land surface model and reanalysis data, in terms of the variance amongst the products Jimenez et al, 2011;Long et al, 2014).…”