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A radiation closure study of Arctic stratus cloud microphysical properties using the collocated satellite-surface data and Fu-Liou radiative transfer model

机译:利用并置卫星表面数据和傅利欧辐射传输模型对北极地层云微物理性质进行辐射封闭研究

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Retrievals of cloud microphysical properties based on passive satellite imagery are especially difficult over snow-covered surfaces because of the bright and cold surface. To help quantify their uncertainties, single-layered overcast liquid-phase Arctic stratus cloud microphysical properties retrieved by using the Clouds and the Earth's Radiant Energy System Edition 2 and Edition 4 (CERES Ed2 and Ed4) algorithms are compared with ground-based retrievals at the Atmospheric Radiation Measurement North Slope of Alaska (ARM NSA) site at Barrow, AK, during the period from March 2000 to December 2006. A total of 206 and 140 snow-free cases (R_(sfc) ≤ 0.3), and 108 and 106 snow cases (R_(sfc)>0.3), respectively, were selected from Terra and Aqua satellite passes over the ARM NSA site. The CERES Ed4 and Ed2 optical depth (τ) and liquid water path (LWP) retrievals from both Terra and Aqua are almost identical and have excellent agreement with ARM retrievals under snow-free and snow conditions. In order to reach a radiation closure study for both the surface and top of atmosphere (TOA) radiation budgets, the ARM precision spectral pyranometer-measured surface albedos were adjusted (63.6% and 80% of the ARM surface albedos for snow-free and snow cases, respectively) to account for the water and land components of the domain of 30 km × 30 km. Most of the radiative transfer model calculated SW_(sfc)~↓ and SW_(TOA)~↑ fluxes by using ARM and CERES cloud retrievals and the domain mean albedos as input agree with the ARM and CERES flux observations within 10Wm~(-2) for both snow-free and snow conditions. Sensitivity studies show that the ARM LWP and r_e retrievals are less dependent on solar zenith angle (SZA), but all retrieved optical depths increase with SZA.
机译:由于表面明亮而寒冷,因此基于被动卫星图像的云微物理属性的检索在积雪覆盖的表面上尤其困难。为了帮助量化其不确定性,我们将使用云和地球辐射能系统第2版和第4版(CERES Ed2和Ed4)算法检索到的单层阴云相北极层云微物理特性与地面上的反演进行了比较。 2000年3月至2006年12月期间,阿拉斯加的阿拉斯加大气辐射测量北坡(ARM NSA)站点。总共206和140个无雪情况(R_(sfc)≤0.3),以及108和106分别从ARM NSA站点上的Terra和Aqua卫星通道中选择了雪箱(R_(sfc)> 0.3)。 Terra和Aqua的CERES Ed4和Ed2光学深度(τ)和液态水路径(LWP)检索几乎完全相同,并且在无雪和大雪条件下与ARM检索具有极好的一致性。为了达到对大气表面和顶部(TOA)辐射预算的辐射封闭研究,对ARM精密光谱总辐射表测量的表面反照率进行了调整(无雪和积雪的ARM表面反照率分别为63.6%和80%情况)分别占30 km×30 km域内的水和土地组成部分。大部分辐射传递模型都是利用ARM和CERES云反演计算出的SW_(sfc)〜↓和SW_(TOA)〜↑通量,而区域平均反照率作为输入与10Wm〜(-2)内的ARM和CERES通量观测值一致。适用于无雪和下雪条件。敏感性研究表明,ARM LWP和r_e反演对太阳天顶角(SZA)的依赖性较小,但所有反演的光学深度均随SZA的增加而增加。

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