Expected errors in satellite-derived estimates of the high latitude surface radiation budget

J. Key, R. Stone, A. Schweiger
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引用次数: 9

Abstract

An analysis of the spatial and temporal variations of the polar radiation budget will undoubtedly require the use of multi-spectral satellite data. How well we can estimate the radiation balance depends on how well we can estimate the physical and microphysical properties of the surface and atmosphere that directly affect it; e.g., surface temperature and albedo, cloud particle effective radius, cloud optical depth, cloud thickness and cloud height. However, the retrieval of cloud and surface parameters is particularly problematic at high-latitudes. The authors examine their current ability to retrieve these geophysical parameters using visible and thermal satellite data, in particular the Advanced Very High Resolution Radiometer (AVHRR) on-board the NOAA polar-orbiting satellites. Both empirical and theoretical methods used in their retrieval are briefly described and the expected accuracy for each of these parameters is quantified. On the basis of their uncertainty analysis they speculate on the utility of estimating radiative fluxes derived from satellite data for the study of climate change in polar regions.
卫星估算高纬度地表辐射收支的预期误差
对极地辐射收支的时空变化进行分析无疑需要使用多光谱卫星数据。我们能多好地估计辐射平衡取决于我们能多好地估计直接影响它的地表和大气的物理和微物理特性;例如,地表温度和反照率、云粒子有效半径、云光学深度、云厚度和云高度。然而,云和地表参数的检索在高纬度地区尤其成问题。作者研究了他们目前使用可见光和热卫星数据检索这些地球物理参数的能力,特别是NOAA极地轨道卫星上的先进甚高分辨率辐射计(AVHRR)。在检索中使用的经验和理论方法都被简要描述,并对每个参数的预期精度进行了量化。在不确定性分析的基础上,他们推测了从卫星数据中估算辐射通量对极地气候变化研究的效用。
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