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Related Concept Videos

  1. Home
  3. Research Domains
  5. Environmental Sciences
  7. Soil Sciences
  9. Soil Physics
  11. Laboratory Observations For Examining Estimates Of Soil Dry Surface Layer Thickness With Parsimonious Models.
  1. Home
  3. Research Domains
  5. Environmental Sciences
  7. Soil Sciences
  9. Soil Physics
  11. Laboratory Observations For Examining Estimates Of Soil Dry Surface Layer Thickness With Parsimonious Models.

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Laboratory observations for examining estimates of soil dry surface layer thickness with parsimonious models.

Cara Mathers1, Wayne Robarge1, John Walker2

  • 1North Carolina State University, Dept. of Crop and Soil Sciences. Campus Box 7620, 101 Derieux Pl, Raleigh, NC 27695.

Hydrological Sciences Journal = Journal Des Sciences Hydrologiques
|June 23, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

This study investigated soil dry surface layer (DSL) thickness, crucial for gas exchange. A physically-based model outperformed empirical ones, suggesting texture-dependent DSL formulations improve soil resistance models.

Keywords:
evaporationgas fluxsoil resistance

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Area of Science:

  • Soil Science
  • Hydrology
  • Environmental Science

Background:

  • Soil dry surface layer (DSL) thickness is a critical parameter influencing land surface resistance to gas exchange.
  • Existing DSL thickness models are often empirical and lack robust observational support.
  • Understanding DSL formation is vital for accurate land surface modeling.

Purpose of the Study:

  • To experimentally investigate factors affecting DSL formation and thickness.
  • To compare the performance of a physically-based DSL model against an empirical model.
  • To inform improvements in soil resistance parameterizations for land surface models.

Main Methods:

  • Laboratory experiments using soil columns with varied textures, initial water content, and evaporation rates.
  • Analysis of DSL thickness formation under controlled conditions.
  • Comparison of a mass balance DSL model with an empirical relative-wetness model.

    • Main Results:

    • DSL thickness increased with finer soil texture when initial water content was similar.
    • The physically-based mass balance DSL model demonstrated superior performance compared to the empirical model.
    • The mass balance model's structure is compatible with existing land surface model parameterizations.

    Conclusions:

    • Soil texture significantly influences DSL depth.
    • Physically-based, texture-dependent DSL models offer improved accuracy over empirical approaches.
    • Implementing these improved DSL formulations can enhance soil resistance parameterizations in land surface models.