An objective methodology for merging satellite- and model-based soil moisture products

被引：105
作者：
Yilmaz, M. T. [1 ]
Crow, W. T.
Anderson, M. C.
Hain, C. [2 ]
机构：
[1] USDA, Hydrol & Remote Sensing Lab, BARC W, Beltsville, MD 20705 USA
[2] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA
来源：
WATER RESOURCES RESEARCH | 2012年 / 48卷
关键词：
ERROR CHARACTERIZATION; TRIPLE COLLOCATION; NEAR-SURFACE; VALIDATION; ASSIMILATION; RETRIEVAL; PRECIPITATION; VEGETATION; ENSEMBLE; NETWORK;
D O I：
10.1029/2011WR011682
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
An objective methodology that does not require any user-defined parameter assumptions is introduced to obtain an improved soil moisture product along with associated uncertainty estimates. This new product is obtained by merging model-, thermal infrared remote sensing-, and microwave remote sensing-based soil moisture estimates in a least squares framework where uncertainty estimates for each product are obtained using triple collocation. The merged anomaly product is validated against in situ based soil moisture data and shows higher correlations with observations than individual input products; however, it is not superior to a naively merged product acquired by averaging the products using equal weighting. The resulting combined soil moisture estimate is an improvement over currently available soil moisture products due to its reduced uncertainty and can be used as a standalone soil moisture product with available uncertainty estimates.
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页数：15
相关论文
共 54 条
  • [1] From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations
    Albergel, C.
    Ruediger, C.
    Pellarin, T.
    Calvet, J. -C.
    Fritz, N.
    Froissard, F.
    Suquia, D.
    Petitpa, A.
    Piguet, B.
    Martin, E.
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2008, 12 (06) : 1323 - 1337
  • [2] A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 2. Surface moisture climatology
    Anderson, Martha C.
    Norman, John M.
    Mecikalski, John R.
    Otkin, Jason A.
    Kustas, William P.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2007, 112 (D11)
  • [3] A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation
    Anderson, Martha C.
    Norman, John M.
    Mecikalski, John R.
    Otkin, Jason A.
    Kustas, William P.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2007, 112 (D10)
  • [4] Evaluation of Drought Indices Based on Thermal Remote Sensing of Evapotranspiration over the Continental United States
    Anderson, Martha C.
    Hain, Christopher
    Wardlow, Brian
    Pimstein, Agustin
    Mecikalski, John R.
    Kustas, William P.
    [J]. JOURNAL OF CLIMATE, 2011, 24 (08) : 2025 - 2044
  • [5] A two-source time-integrated model for estimating surface fluxes using thermal infrared remote sensing
    Anderson, MC
    Norman, JM
    Diak, GR
    Kustas, WP
    Mecikalski, JR
    [J]. REMOTE SENSING OF ENVIRONMENT, 1997, 60 (02) : 195 - 216
  • [6] [Anonymous], 1963, Theory of the motion of the heavenly bodies moving about the sun in conic sections
  • [7] Basara JB, 2000, J ATMOS OCEAN TECH, V17, P879, DOI 10.1175/1520-0426(2000)017<0879:IIPFDL>2.0.CO
  • [8] 2
  • [9] BROCK FV, 1995, J ATMOS OCEAN TECH, V12, P5, DOI 10.1175/1520-0426(1995)012<0005:TOMATO>2.0.CO
  • [10] 2
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