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Analysis of snow bidirectional reflectance from ARCTAS Spring-2008 Campaign

机译:Arctas Spring-2008竞选雪双向反射率分析

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The spring 2008 Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) experiment was one of major intensive field campaigns of the International Polar Year aimed at detailed characterization of atmospheric physical and chemical processes in the Arctic region. A part of this campaign was a unique snow bidirectional reflectance experiment on the NASA P-3B aircraft conducted on 7 and 15 April by the Cloud Absorption Radiometer (CAR) jointly with airborne Ames Airborne Tracking Sunphotometer (AATS) and ground-based Aerosol Robotic Network (AERONET) sunphotometers. The CAR data were atmospherically corrected to derive snow bidirectional reflectance at high 1 angular resolution in view zenith and azimuthal angles along with surface albedo. The derived albedo was generally in good agreement with ground albedo measurements collected on 15 April. The CAR snow bidirectional reflectance factor (BRF) was used to study the accuracy of analytical Ross-Thick Li-Sparse (RTLS), Modified Rahman-Pinty-Verstraete (MRPV) and Asymptotic Analytical Radiative Transfer (AART) BRF models. Except for the glint region (azimuthal angles Φ40°), the best fit MRPV and RTLS models fit snow BRF to within 0.05. The plane-parallel radiative transfer (PPRT) solution was also analyzed with the models of spheres, spheroids, randomly oriented fractal crystals, and with a synthetic phase function. The latter merged the model of spheroids for the forward scattering angles with the fractal model in the backscattering direction. The PPRT solution with synthetic phase function provided the best fit to measured BRF in the full range of angles. Regardless of the snow grain shape, the PPRT model significantly over-/underestimated snow BRF in the glint/backscattering regions, respectively, which agrees with other studies. To improve agreement with experiment, we introduced a model of macroscopic snow surface roughness by averaging the PPRT solution over the slope distribution function and by adding a simple model of shadows. With macroscopic roughness described by two parameters, the AART model achieved an accuracy of about 0.05 with a possible bias of 0.03 in the spectral range 0.4–2.2 m. This high accuracy holds at view zenith angles below 55–60 covering the practically important range for remote sensing applications, and includes both glint and backscattering directions.
机译:2008年春季对飞机和卫星(ARCTAS)实验的对流层组成的北极研究是国际北极地区大型地区大型物理和化学过程的主要集中野外活动之一。该活动的一部分是NASA P-3B飞机的独特雪双向反射态实验,在4月7日和15架由云吸收辐射计(CAR)共同与空气传播的Airborne Tracking Sunphotomether(Aats)和地面气溶胶机器人网络(机动机器)太阳照度。汽车数据大气校正,以实现高1角分辨率的雪双向反射率,视图Zenith和方位角以及表面反射器。衍生的Albedo通常与4月15日收集的地面Albedo测量吻合良好。汽车雪双向反射率因子(BRF)用于研究分析罗斯厚Li-稀疏(RTL)的准确性,改性Rahman-Pinty-Verstraete(MRPV)和渐近分析辐射转移(AART)BRF模型。除了闪光区(方位角φ40°),最佳拟合MRPV和RTLS型号将雪BRF拟合到0.05内。使用球形,球状体,随机定向的分形晶体和合成相函数分析平面平行辐射转移(PPRT)溶液。后者将球体模型与在后散射方向上的分形模型的前向散射角度合并。具有合成相位功能的PPRT溶液在全范围的角度下提供了最合适的测量BRF。无论雪纹形状如何,PPRT模型都分别在闪光/后散景区域中显着过度/低估了雪BRF,这与其他研究同意。为了改善实验协议,我们通过在坡度分布函数上平均PPRT解决方案来引入宏观雪表面粗糙度的模型,并通过添加简单的阴影模型。通过两个参数描述的宏观粗糙度,AART模型的精度约为0.05,在光谱范围内的可能偏差为0.4-2.2μm。这种高精度在55-60以下的视图角度下保持覆盖遥感应用的实际重要范围,包括闪烁和反向散射方向。

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