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首页> 外文期刊>Journal of hydrometeorology >Different Rates of Soil Drying after Rainfall Are Observed by the SMOS Satellite and the South Fork in situ Soil Moisture Network
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Different Rates of Soil Drying after Rainfall Are Observed by the SMOS Satellite and the South Fork in situ Soil Moisture Network

机译:SMOS卫星和南叉原位土壤水分网络观测到降雨后土壤干燥的速率不同

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Soil moisture affects the spatial variation of land-atmosphere interactions through its influence on the balance of latent and sensible heat fluxes. Wetter soils are more prone to flooding because a smaller fraction of rainfall can infiltrate into the soil. The Soil Moisture Ocean Salinity (SMOS) satellite carries a remote sensing instrument able to make estimates of near-surface soil moisture on a global scale. One way to validate satellite observations is by comparing them with observations made with sparse networks of in situ soil moisture sensors that match the extent of satellite footprints. The rate of soil drying after significant rainfall observed by SMOS is found to be higher than the rate observed by a U.S. Department of Agriculture (USDA) soil moisture network in the watershed of the South Fork Iowa River. This leads to the conclusion that SMOS and the network observe different layers of the soil: SMOS observes a layer of soil at the soil surface that is a few centimeters thick, while the network observes a deeper soil layer centered at the depth at which the in situ soil moisture sensors are buried. It is also found that SMOS near-surface soil moisture is drier than the South Fork network soil moisture, on average. The conclusion that SMOS and the network observe different layers of the soil, and therefore different soil moisture dynamics, cannot explain the dry bias. However, it can account for some of the root-mean-square error in the relationship. In addition, SMOS observations are noisier than the network observations.
机译:土壤水分通过影响潜热通量和感热通量的平衡而影响着土地-大气相互作用的空间变化。潮湿的土壤更容易泛滥,因为一小部分的降雨会渗透到土壤中。土壤水分海洋盐度(SMOS)卫星装有遥感仪器,能够在全球范围内估计近地表土壤水分。验证卫星观测值的一种方法是将其与使用与卫星足迹范围相匹配的稀疏土壤水分传感器网络所做的观测值进行比较。发现SMOS观测到大量降雨后的土壤干燥速率高于美国农业部(USDA)在南叉爱荷华河流域内的土壤水分网络所观测到的速率。得出这样的结论,即SMOS和网络观察到土壤的不同层:SMOS在土壤表面观察到几厘米厚的土壤层,而网络观察到以土壤深处为中心的更深的土壤层。原位土壤湿度传感器被掩埋。还发现,平均而言,SMOS近地表土壤水分比南福克网络的土壤水分干燥。 SMOS和网络观测到的土壤层不同,因此土壤水分动态也不同,这一结论无法解释干燥偏差。但是,它可以解决关系中的某些均方根误差。此外,SMOS观测值比网络观测值更嘈杂。

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