Campus Units

Agronomy

Document Type

Article

Publication Version

Published Version

Publication Date

2016

Journal or Book Title

Journal of Hydrometeorology

Volume

17

Issue

2

First Page

601

Last Page

613

DOI

10.1175/JHM-D-15-0119.1

Abstract

Soil thermal conductivity l is a vital parameter for soil temperature and soil heat flux forecasting in hydrological models. In this study, an empirical model is developed to relate l only to soil volumetric water content u and soil porosity us. Measured l values for eight soils are used to establish the empirical model, and data from four other soils are used to evaluate the model. The new model is also evaluated by its performance in the Simple Biosphere Model 2 (SiB2). Results show that the root-mean-square errors (RMSEs; ranging from 0.097 to 0.266 W m21 K21 ) of the new model estimates of l are lower than those (ranging from 0.416 to 1.006 W m21 K21 ) for an empirical model of similar complexity reported in the literature earlier. Further, with simple inputs and equations, the new model almost has the accuracy of other more complex models (RMSE of l ranging from 0.040 to 0.354 W m21 K21 ) that require additional detailed soil information. The new model can be readily incorporated in large-scale models because of its simplicity as compared to the more complex models. The new model is tested for its effectiveness by incorporating it into SiB2. Compared to the original SiB2 l model, the new l model provides better estimates of surface effective radiative temperature and soil wetness. Owing to the newly presented empirical model’s requirement for simple, available inputs and its accuracy, its usage is recommended within large-scale models for applications where detailed information about soil composition is lacking.

Comments

This article is published as Tong, Bing, Zhiqiu Gao, Robert Horton, Yubin Li, and Linlin Wang. "An empirical model for estimating soil thermal conductivity from soil water content and porosity." Journal of Hydrometeorology 17, no. 2 (2016): 601-613. Doi: 10.1175/JHM-D-15-0119.1. Posted with permission.

Rights

© Copyright 2016 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC §108) does not require the AMS’s permission. Republication, systematic reproduction, posting in electronic form, such as on a website or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. All AMS journals and monograph publications are registered with the Copyright Clearance Center (http://www.copyright.com). Questions about permission to use materials for which AMS holds the copyright can also be directed to the AMS Permissions Officer at permissions@ametsoc.org. Additional details are provided in the AMS Copyright Policy statement, available on the AMS website (http://www.ametsoc.org/CopyrightInformation).

Copyright Owner

American Meteorological Society

Language

en

File Format

application/pdf

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