从SSM/I放射亮度观测草冠层中的水分

A. England, J. Galantowicz
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引用次数: 6

摘要

土壤-植被-大气传输(SVAT)方案用于估算陆地-大气水分、能量和动量通量,并为大气模式(AMs)提供边界强迫。大陆气候的模式研究表明,AMs的预测高度依赖于土壤湿度和陆地与大气之间的潜能通量。有几种流行的SVAT方案。其中包括生物圈-大气转移方案(BATS)和简单生物圈模式(SiB)。这些模型已经在一定程度上通过实地试验得到了验证,但验证并没有扩展到许多地形或几个季节。密歇根寒区辐射亮度(MCRR)模式是第一代SVAT模式,它将北部草原草地的陆地-大气水文过程与卫星辐射亮度联系起来,以验证和校正SVAT状态。该模型有两个模块,一个是热模块,根据陆地-大气界面的能量平衡跟踪土壤中的等温线,另一个是辐射亮度模块,利用半空间土壤模型预测SSM/I频率19.35、37.0和85.5 GHz下的辐射亮度。从1992年10月到1993年4月,MCRR模型用我们在南达科他州苏福尔斯附近的第一个辐射亮度能量平衡实验rex - 1的数据进行了测试。造成辐射亮度模块性能差的一个原因是草冠层内水分和温度依赖的吸收、发射和散射。草的折射模型是用来做预测的。然后将其与1992年10月21天无雪期的REBEX-1数据进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Moisture in a grass canopy from SSM/I radiobrightness
Soil-Vegetation-Atmosphere Transfer (SVAT) schemes are used to estimate land-atmosphere moisture, energy, and momentum fluxes and provide boundary forcing to atmospheric models (AMs). Model studies of continental climate have shown that predictions of AMs are highly dependent upon soil moisture and latent energy flux between the land and the atmosphere. There are several popular SVAT schemes. Among these are the Biosphere-Atmosphere Transfer Scheme (BATS) and the Simple Biosphere model (SiB). These models have been validated to some extent through field experiments, but the validations have not extended over many terrains or through several seasons. The Michigan Cold Region Radiobrightness (MCRR) model is a first generation SVAT model that links land-atmosphere hydrologic processes in northern prairie grasses to satellite radiobrightness for the purposes of validation and correction of the SVAT state. The model has two modules, a thermal module that tracks isotherms in the soil as forced by the energy balance at the land-atmosphere interface, and a radiobrightness module that employs a halfspace soil model to predict radiobrightness at the SSM/I frequencies of 19.35, 37.0, and 85.5 GHz. The MCRR model was tested with data from our first Radiobrightness Energy Balance Experiment, REBEX-l near Sioux Falls, South Dakota, during October, 1992, through April, 1993. One cause for the poor performance of the radiobrightness module was moisture and temperature dependent absorption, emission, and scattering within the grass canopy. A refractive model for grass is to make predictions. It is then compared to REBEX-1 data for a 21 day, snow-free period in October, 1992.<>
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