Scaling of soil moisture:: A hydrologic perspective

被引:392
|
作者
Western, AW [1 ]
Grayson, RB
Blöschl, G
机构
[1] Univ Melbourne, Cooperat Res Ctr Catchment Hydrol, Melbourne, Vic 3010, Australia
[2] Univ Melbourne, Ctr Environm Appl Hydrol, Dept Civil & Environm Engn, Melbourne, Vic 3010, Australia
[3] Vienna Univ Technol, Inst Hydraul Gewasserkunde & Wasserwirtsch, A-1060 Vienna, Austria
关键词
hydrologic modeling; subgrid variability; scaling methods; land-atmosphere interaction; runoff generation;
D O I
10.1146/annurev.earth.30.091201.140434
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Soil moisture is spatially and temporally highly variable, and it influences a range of environmental processes in a nonlinear manner. This leads to scale effects that need to be understood for improved prediction of moisture dependent processes. We provide some introductory material on soil moisture, and then review results from the literature relevant to a variety of scaling techniques applicable to soil moisture. This review concentrates on spatial scaling with brief reference to results on temporal scaling. Scaling techniques are divided into behavioral techniques and process-based techniques. We discuss the statistical distribution of soil moisture, spatial correlation of soil moisture at scales from tens of meters to thousands of kilometers and related interpolation and regularization techniques, and the use of auxiliary variables such as terrain indices. Issues related to spatially distributed deterministic modeling of soil moisture are also briefly reviewed.
引用
收藏
页码:149 / 180
页数:36
相关论文
共 50 条
  • [21] Ecohydrology: A hydrologic perspective of climate-soil-vegetation dynamics
    Rodriguez-Iturbe, I
    WATER RESOURCES RESEARCH, 2000, 36 (01) : 3 - 9
  • [22] Climate Change and Drought: the Soil Moisture Perspective
    Berg, Alexis
    Sheffield, Justin
    CURRENT CLIMATE CHANGE REPORTS, 2018, 4 (02): : 180 - 191
  • [23] A Perspective on Radar Remote Sensing of Soil Moisture
    Park, Sang-Eun
    KOREAN JOURNAL OF REMOTE SENSING, 2011, 27 (06) : 761 - 771
  • [24] Climate Change and Drought: the Soil Moisture Perspective
    Alexis Berg
    Justin Sheffield
    Current Climate Change Reports, 2018, 4 : 180 - 191
  • [25] Parameter Uncertainty of a Hydrologic Model Calibrated with Remotely Sensed Evapotranspiration and Soil Moisture
    Kunnath-Poovakka, Aiswarya
    Ryu, Dongryeol
    Eldho, T. I.
    George, Biju
    JOURNAL OF HYDROLOGIC ENGINEERING, 2021, 26 (03)
  • [26] Hydrologic Response of a Wetland to Changing Moisture Conditions: Modeling Effects of Soil Heterogeneity
    Peter J. Zeeb
    Harold F. Hemond
    Climatic Change, 1998, 40 : 211 - 227
  • [27] Integration of soil moisture remote sensing and hydrologic modeling using data assimilation
    Houser, PR
    Shuttleworth, WJ
    Famiglietti, JS
    Gupta, HV
    Syed, KH
    Goodrich, DC
    WATER RESOURCES RESEARCH, 1998, 34 (12) : 3405 - 3420
  • [28] Explaining soil moisture variability as a function of mean soil moisture: A stochastic unsaturated flow perspective
    Vereecken, H.
    Kamai, T.
    Harter, T.
    Kasteel, R.
    Hopmans, J.
    Vanderborght, J.
    GEOPHYSICAL RESEARCH LETTERS, 2007, 34 (22)
  • [29] Assimilating scatterometer soil moisture data into conceptual hydrologic models at the regional scale
    Parajka, J.
    Naeimi, V.
    Bloeschl, G.
    Wagner, W.
    Merz, R.
    Scipal, K.
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2006, 10 (03) : 353 - 368
  • [30] Improving hydrologic predictions of a catchment model via assimilation of surface soil moisture
    Chen, Fan
    Crow, Wade T.
    Starks, Patrick J.
    Moriasi, Daniel N.
    ADVANCES IN WATER RESOURCES, 2011, 34 (04) : 526 - 536