Article ID Journal Published Year Pages File Type
6412694 Journal of Hydrology 2014 7 Pages PDF
Abstract

•Physical controls of average water content variability analyzed from 50 agricultural fields.•Average soil water content was optimally predicted by soil texture and soil organic carbon.•In dry conditions soil OC explained greater variance than texture.

SummaryImprovements to the downscaling estimates of soil water content (SWC) from passive microwave retrievals require detailed knowledge of field scale influences on SWC variability. The Soil Moisture Active Passive Validation Experiment (SMAPVEX-12) field campaign provided SWC and physical properties from 50 cropland fields to assess the influence of soil organic carbon (SOC) on SOC variability in a range of SOC, SWC and soil textural class over a 6 week period. Field average SWC over the duration of the experiment was optimally predicted by combination of soil texture and SOC in all soil wetness conditions, although either %Sand or SOC separately also expressed 82% of variance in SWC over all fields covering three soil textural groups. Soil OC explained greater variance in SWC than texture in dry conditions, while texture predominated in moist conditions. The high correlation between SOC and SWC suggests soil OC may contribute to the initiatives to downscale SWC estimates from satellite to field scale where SWC data are sparse or inaccurate.

Related Topics
Physical Sciences and Engineering Earth and Planetary Sciences Earth-Surface Processes
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