Angular anisotropy of satellite observations of land surface temperature
Angular anisotropy of satellite observations of land surface temperature
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DOI：
10.1029/2012gl054059
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发表时间：
2012-12
影响因子：
5.2
通讯作者：
K. Vinnikov;Yunyue Yu;M. Goldberg;D. Tarpley;P. Romanov;I. Laszlo;Ming Chen
中科院分区：
文献类型：
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作者：
K. Vinnikov;Yunyue Yu;M. Goldberg;D. Tarpley;P. Romanov;I. Laszlo;Ming Chen
基于卫星的地表温度（LST）时间序列有可能成为诊断过去几十年气候变化的重要工具。生产这样的时间序列需要解决使用异步卫星观测的几个问题，包括日周期、云和角度各向异性。本文利用GOES - EAST和GOES - WEST两颗地球同步运行环境卫星在五个地表辐射站（SURFRAD）的位置进行的一整年同步观测，评估了地表温度的角各向异性。我们开发了一种将方向观测到的地表温度转换为与方向无关的陆地表面等效物理温度的技术。各向异性模型包括一个各向同性核、一个发射率核（地表温度依赖于观测角度）和一个太阳核（观测温度方向不均匀性的影响）。该模型的应用减少了两颗卫星观测到的地表温度差异，以及卫星与地面真值- SURFRAD站观测到的地表温度之间的差异。卫星观测到的地表温度的角度平差和时间插值技术为将许多地球静止轨道和极地轨道卫星的历史、当前和未来观测数据融合成一个均匀的多年代际数据集用于气候变化研究开辟了道路。
Satellite‐based time series of land surface temperature (LST) have the potential to be an important tool to diagnose climate changes of the past several decades. Production of such a time series requires addressing several issues with using asynchronous satellite observations, including the diurnal cycle, clouds, and angular anisotropy. Here we evaluate the angular anisotropy of LST using one full year of simultaneous observations by two Geostationary Operational Environment Satellites, GOES‐EAST and GOES‐WEST, at the locations of five surface radiation (SURFRAD) stations. We develop a technique to convert directionally observed LST into direction‐independent equivalent physical temperature of the land surface. The anisotropy model consists of an isotropic kernel, an emissivity kernel (LST dependence on viewing angle), and a solar kernel (effect of directional inhomogeneity of observed temperature). Application of this model reduces differences of LST observed from two satellites and between the satellites and surface ground truth ‐ SURFRAD station observed LST. The techniques of angular adjustment and temporal interpolation of satellite observed LST open a path for blending together historical, current, and future observations of many geostationary and polar orbiters into a homogeneous multi‐decadal data set for climate change research.