气候变化领域集成服务门户(CCPortal): Room for improvement: A review and evaluation of 24 soil thermal conductivity parameterization schemes commonly used in land-surface, hydrological, and soil-vegetation-atmosphere transfer models

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DOI	10.1016/j.earcirev.2020.103419
	Room for improvement: A review and evaluation of 24 soil thermal conductivity parameterization schemes commonly used in land-surface, hydrological, and soil-vegetation-atmosphere transfer models
	He, Hailong; He, Dong; Jin, Jiming; Smits, Kathleen M.; Dyck, Miles; Wu, Qingbai; Si, Bingcheng; Lv, Jialong
发表日期	2020
ISSN	0012-8252
EISSN	1872-6828
卷号	211
英文摘要	Effective thermal conductivity of soils (lambda(eff)) is a critical parameter for agriculture, environment science, and engineering. Functions to estimate lambda(eff) from readily available soil properties, known as soil thermal conductivity (STC) schemes, are needed by land-surface models (LSMs), hydrological models, and soil-vegetation-atmosphere transfer (SVAT) models to study the land surface energy balance, heat flux, and soil thermal regime under various climates and geographic regions. The selection of a STC scheme can result in large differences in temperature estimates in LSMs, sometimes masking the effects of climate change. Therefore, accurate selection of a STC scheme is critically important to LSM estimates. Although a number of STC schemes have been incorporated in various LSMs, no study has systematically evaluated their performance. Therefore, the objectives of this study were to review and evaluate STC schemes employed by LSMs by comparing (1) predicted and measured STCs and (2) modelled land surface temperature (LST) using the Community Land Model at three selected sites and the corresponding LST data from the moderate resolution imaging spectrometer (MODIS). In total, 24 STC schemes were collated from 38 mainstream LSMs, SVAT, and hydrological models. They were divided into three categories based on model types: one physically-based scheme, eight linear/non-linear regression schemes, and 13 normalized schemes. We also include two schemes that express STC as a function of matric potential (psi, hereafter referred as lambda(eff), (psi) schemes). The first three types of STC schemes were evaluated with a large compiled dataset consisting of 439 unfrozen and frozen measurements of lambda(eff) from 16 soils. The lambda(eff) (psi) schemes were evaluated with simultaneously measured lambda(eff) (psi) from eight soils from two separate or independent studies. Results showed that none of the STC schemes could be used to accurately predict lambda(eff) for all soil types. STC scheme performance largely depended on the size (number of samples) and characteristics (e.g., soil types) of the data used for comparison. Some STC schemes work well on certain types of soils, but care should be taken for larger scale applications. LSM simulated LST for 24 STC schemes varied when compared with MODIS LST. In general, the STC schemes performed better in medium- and coarse-textured soils than in fine-textured soils. However, large discrepancies were observed on the estimated LST using different STC schemes for medium and coarse-textured soils. We recommend that LSM modelers be mindful of the inherent bias in STC schemes on the surface temperature estimates and hence overall model predictions. Orchestrated efforts are urgently needed on the part of the soil science, hydrology, and climatology communities to develop a more extensive and systematic lambda(eff) database for development and evaluation of improved STC schemes for wider and more accurate applications.
英文关键词	Soil thermal conductivity scheme; Model evaluation; Land-surface models; Soil water content; Organic matter; Quartz content; Matric potential
语种	英语
WOS研究方向	Geology
WOS类目	Geosciences, Multidisciplinary
WOS记录号	WOS:000600288800004
来源期刊	EARTH-SCIENCE REVIEWS
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/240325
作者单位	[He, Hailong; Lv, Jialong] Northwest A&F Univ, Coll Nat Resources & Environm, Yangling 712100, Shaanxi, Peoples R China; [He, Dong; Jin, Jiming; Si, Bingcheng] Northwest A&F Univ, Key Lab Agr Soil & Water Engn Arid & Semiarid Are, Minist Educ, Yangling 712100, Shaanxi, Peoples R China; [Jin, Jiming] Utah State Univ, Dept Watershed Sci, Quinney Coll Nat Resources, Logan, UT 84322 USA; [Smits, Kathleen M.] Univ Texas Arlington, Dept Civil Engn, Arlington, TX 76019 USA; [Smits, Kathleen M.] Colorado Sch Mines, Dept Civil & Environm Engn, Golden, CO 80401 USA; [Smits, Kathleen M.] US Air Force Acad, Environm Engn, Colorado Springs, CO 80840 USA; [Dyck, Miles] Univ Alberta, Dept Renewable Resources, Edmonton, AB T6G 2H1, Canada; [Wu, Qingbai] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Frozen Soil Engn, Lanzhou 730000, Gansu, Peoples R China; [Si, Bingcheng] Univ Saskatchewan, Dept Soil Sci, Saskatoon, SK S7N5A8, Canada; [Lv, Jialong] Northwest A&F Univ, Key Lab Plant Nutr & Agrienv...
推荐引用方式 GB/T 7714	He, Hailong,He, Dong,Jin, Jiming,et al. Room for improvement: A review and evaluation of 24 soil thermal conductivity parameterization schemes commonly used in land-surface, hydrological, and soil-vegetation-atmosphere transfer models[J]. 中国科学院西北生态环境资源研究院,2020,211.
APA	He, Hailong.,He, Dong.,Jin, Jiming.,Smits, Kathleen M..,Dyck, Miles.,...&Lv, Jialong.(2020).Room for improvement: A review and evaluation of 24 soil thermal conductivity parameterization schemes commonly used in land-surface, hydrological, and soil-vegetation-atmosphere transfer models.EARTH-SCIENCE REVIEWS,211.
MLA	He, Hailong,et al."Room for improvement: A review and evaluation of 24 soil thermal conductivity parameterization schemes commonly used in land-surface, hydrological, and soil-vegetation-atmosphere transfer models".EARTH-SCIENCE REVIEWS 211(2020).