ASCAT soil wetness index validation through in situ and modeled soil moisture data in central Italy

被引:146
作者
Brocca, L. [1 ]
Melone, F. [1 ]
Moramarco, T. [1 ]
Wagner, W. [2 ]
Hasenauer, S. [2 ]
机构
[1] Res Inst Geohydrol Protect, Natl Res Council, I-06128 Perugia, Italy
[2] Vienna Univ Technol, Inst Photogrammetry & Remote Sensing, A-1040 Vienna, Austria
关键词
Soil moisture; ASCAT; Remote sensing; In situ measurements; Soil water balance model; ERS SCATTEROMETER; TEMPORAL STABILITY; ASSIMILATION; WATER; PRODUCTS; TIME;
D O I
10.1016/j.rse.2010.06.009
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Reliable measurements of soil moisture at global scale might greatly improve many practical issues in hydrology, meteorology, climatology or agriculture such as water management, quantitative precipitation forecasting, irrigation scheduling, etc. Remote sensing offers the unique capability to monitor soil moisture over large areas but, nowadays, the spatio-temporal resolution and accuracy required for some hydrological applications (e.g., flood forecasting in medium to large basins) have still to be met. The Advanced SCATterometer (ASCAT) onboard the Metop satellite (VV polarization, C-band at 5.255 GHz), based on a large extent on the heritage of the ERS scatterometer, provides a soil moisture product available at a coarse spatial resolution (25 km and 50 km) and at a nearly daily time step. This study evaluates the accuracy of the new 25 km ASCAT derived saturation degree product by using in situ observations and the outcomes of a soil water balance model for three sites located in an inland region of central Italy. The comparison is carried out for a 2-year period (2007-2008) and three products derived from ASCAT: the surface saturation degree, m(s), the exponentially filtered soil wetness index. SWI, and its linear transformation, SWI*, matching the range of variability of ground data. Overall, the performance of the three products is found to be quite good with correlation coefficients higher than 0.92 and 0.80 when the SWI is compared with in situ and simulated saturation degree, respectively. Considering SWI*, the root mean square error is less than 0.035 m(3)/m(3) and 0.042 m(3)/m(3) for in situ and simulated saturation degree, respectively. More notably, when the ms product is compared with modeled data at 3 cm depth, this index is found able to accurately reproduce the temporal pattern of the simulated saturation degree in terms of both timing and entity of its variations also at fine temporal scale. The daily temporal resolution and the reliability obtained with the ASCAT derived saturation degree products represent the preliminary step for its effective use in operational rainfall-runoff modeling. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:2745 / 2755
页数:11
相关论文
共 46 条
  • [1] An evaluation of ASCAT surface soil moisture products with in-situ observations in Southwestern France
    Albergel, C.
    Ruediger, C.
    Carrer, D.
    Calvet, J. -C.
    Fritz, N.
    Naeimi, V.
    Bartalis, Z.
    Hasenauer, S.
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2009, 13 (02) : 115 - 124
  • [2] Sequential assimilation of soil moisture and streamflow data in a conceptual rainfall-runoff model
    Aubert, D
    Loumagne, C
    Oudin, L
    [J]. JOURNAL OF HYDROLOGY, 2003, 280 (1-4) : 145 - 161
  • [3] BARTALIS Z, 2007, SOIL MOISTURE REPORT, V14
  • [4] Initial soil moisture retrievals from the METOP-A Advanced Scatterometer (ASCAT)
    Bartalis, Zoltan
    Wagner, Wolfgang
    Naeimi, Vahid
    Hasenauer, Stefan
    Scipal, Klaus
    Bonekamp, Hans
    Figa, Julia
    Anderson, Craig
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2007, 34 (20)
  • [5] Azimuthal anisotropy of scatterometer measurements over land
    Bartalis, Zoltan
    Scipal, Klaus
    Wagner, Wolfgang
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2006, 44 (08): : 2083 - 2092
  • [6] How crucial is it to account for the antecedent moisture conditions in flood forecasting? Comparison of event-based and continuous approaches on 178 catchments
    Berthet, L.
    Andreassian, V.
    Perrin, C.
    Javelle, P.
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2009, 13 (06) : 819 - 831
  • [7] Aircraft based soil moisture retrievals under mixed vegetation and topographic conditions
    Bindlish, R.
    Jackson, T. J.
    Gasiewski, A.
    Stankov, B.
    Klein, M.
    Cosh, M. H.
    Mladenova, I.
    Watts, C.
    Vivoni, E.
    Lakshmi, V.
    Bolten, J.
    Keefer, T.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2008, 112 (02) : 375 - 390
  • [8] Antecedent wetness conditions based on ERS scatterometer data
    Brocca, L.
    Melone, F.
    Moramarco, T.
    Morbidelli, R.
    [J]. JOURNAL OF HYDROLOGY, 2009, 364 (1-2) : 73 - 87
  • [9] On the estimation of antecedent wetness conditions in rainfall-runoff modelling
    Brocca, L.
    Melone, F.
    Moramarco, T.
    [J]. HYDROLOGICAL PROCESSES, 2008, 22 (05) : 629 - 642
  • [10] Soil moisture spatial variability in experimental areas of central Italy
    Brocca, L.
    Morbidelli, R.
    Melone, F.
    Moramarco, T.
    [J]. JOURNAL OF HYDROLOGY, 2007, 333 (2-4) : 356 - 373