Developing and testing a long-term soil moisture dataset at the catchment scale

被引:17
作者
Brocca, L. [1 ]
Zucco, G. [1 ]
Moramarco, T. [1 ]
Morbidelli, R. [2 ]
机构
[1] CNR, Res Inst Geohydrol Protect, I-06128 Perugia, Italy
[2] Univ Perugia, Dept Civil & Environm Engn, I-06125 Perugia, Italy
关键词
Soil moisture; Soil water balance model; Long-term dataset; Hydrological applications; Satellite soil moisture validation; IN-SITU; SPATIAL VARIABILITY; TEMPORAL STABILITY; ASCAT; PRODUCTS; SURFACE; INFILTRATION; SMEX02;
D O I
10.1016/j.jhydrol.2013.03.029
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Inferring long-term soil moisture time series with dense temporal resolution and representative of large areas is a challenging task. However, its accurate estimation over large areas might be essential for improving our knowledge of the mass and energy balance between the land surface and atmosphere, and also for many others practical applications. In this study, a long-term (1989-2011) simulated soil moisture dataset is developed by using 1-year in situ observations collected at 92 sites over an area of similar to 400 km(2) in central Italy. Specifically, a soil water balance model is calibrated for reproducing the soil moisture temporal variability at each site and, then, is tested for representing also the spatial variability of in situ measurements. The good temporal and spatial agreement between modelled and observed data gives confidence about the use of the modelled data in the study area for reconstructing a long-term soil moisture dataset with hourly temporal resolution (in accordance with the availability of hydrometeorological observations). The developed soil water balance model and procedure can be applied also in other climatic regions to obtain a similar dataset Indeed, the obtained dataset and the model code are made freely available from the authors and can be used for hydrological and satellite soil moisture products validation studies. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:144 / 151
页数:8
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