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

机译:通过意大利中部原位和模拟土壤湿度数据验证ASCAT土壤湿度指数

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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 5.255GHz), based on a large extent on the heritage of the ERS scatterometer, provides a soil moisture product available at a coarse spatial resolution (25km and 50km) and at a nearly daily time step. This study evaluates the accuracy of the new 25km 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 0.035m~3/m~3 and 0.042m~3/m~3 for in situ and simulated saturation degree, respectively. More notably, when the m_s product is compared with modeled data at 3cm 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.
机译:在全球范围内可靠地测量土壤湿度可能会大大改善水文,气象,气候学或农业等许多实际问题,例如水管理,定量降水预测,灌溉计划等。遥感技术提供了在大范围内监测土壤湿度的独特功能,但如今,某些水文应用(例如,中到大型流域的洪水预报)所需的时空分辨率和精度仍需满足。 Metop卫星上的高级SCATterometer(ASCAT)(VV极化,C波段为5.255GHz)在很大程度上基于ERS散射仪的传统,可提供粗略的空间分辨率(25 km和50 km)可用的土壤湿度产品),并且几乎每天都会执行一次。这项研究通过使用原位观测以及意大利中部内陆地区三个地点的土壤水平衡模型的结果,评估了新的25 km ASCAT得出的饱和度乘积的准确性。比较进行了为期2年(2007-2008年)的结果,并得出了来自ASCAT的三种产品:表面饱和度m_s,指数过滤的土壤湿度指数SWI及其线性变换SWI *,与范围地面数据的变异性。总体而言,当分别将SWI与原位和模拟饱和度进行比较时,发现三种产品的性能都非常好,相关系数分别高于0.92和0.80。考虑到SWI *,就地饱和度和模拟饱和度而言,均方根误差分别小于0.035m〜3 / m〜3和0.042m〜3 / m〜3。更值得注意的是,当将m_s乘积与3cm深度处的建模数据进行比较时,发现该指标能够在时间和精细变化的时间尺度上准确地再现模拟饱和度的时间模式。利用ASCAT导出的饱和度乘积获得的每日时间分辨率和可靠性代表了其有效地用于降雨径流模拟的第一步。

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