APOLLO_NG - a probabilistic interpretation of the APOLLO legacy for AVHRR heritage channels
APOLLO_NG - a probabilistic interpretation of the APOLLO legacy for AVHRR heritage channels
复制标题
APOLLO_NG - AVHRR 传统通道的 APOLLO 传统的概率解释
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
G. Gesell
中科院分区：
文献类型：
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作者：
L. Klüser;N. Killius;G. Gesell
抽象的。云处理方案APOLLO（云、陆地和海洋上空的AVHRR处理方案）自20世纪80年代末以来一直用于云探测和云属性反演。APOLLO计划的物理原理仍然是AVHRR（高级甚高分辨率辐射计）传统仪器的一系列云检测算法的基础。APOLLO_NG（APOLLO_NextGeneration）云处理方案是对原始APOLLO方法的概率解释。它建立在原始APOLLO计划中很好地服务的物理原理之上。然而，在APOLLO_NG中引入了一些额外的变量。云检测不再是基于这些物理原理的二元是/否决策。它更确切地表示为每个卫星像素的云概率。因此，根据目的，算法的结果可以从确保可靠地识别清晰像素调整到可靠地识别明确模糊像素的条件。概率方法不仅可以检索云的属性（光学厚度，有效半径，云顶温度和云水路径），但它们的不确定性。APOLLO_NG被设计为一种独立的云检索方法，足够强大，可用于近实时操作和应用于大量的历史卫星数据。辐射传输的解决方案是近似的两个流的方法，也被用于原来的APOLLO。这使得该算法可以应用于广泛的传感器，而不需要特定的传感器调谐。此外，它允许辐射传递的在线计算（即，在检索算法内），从而产生云变量的详细概率处理。本文介绍了基于APOLLO遗留数据的云检测和云属性检索算法及其物理原理，并给出了NOAA-18的实例结果。
Abstract. The cloud processing scheme APOLLO (AVHRR Processing scheme Over cLouds, Land and Ocean) has been in use for cloud detection and cloud property retrieval since the late 1980s. The physics of the APOLLO scheme still build the backbone of a range of cloud detection algorithms for AVHRR (Advanced Very High Resolution Radiometer) heritage instruments. The APOLLO_NG (APOLLO_NextGeneration) cloud processing scheme is a probabilistic interpretation of the original APOLLO method. It builds upon the physical principles that have served well in the original APOLLO scheme. Nevertheless, a couple of additional variables have been introduced in APOLLO_NG. Cloud detection is no longer performed as a binary yes/no decision based on these physical principles. It is rather expressed as cloud probability for each satellite pixel. Consequently, the outcome of the algorithm can be tuned from being sure to reliably identify clear pixels to conditions of reliably identifying definitely cloudy pixels, depending on the purpose. The probabilistic approach allows retrieving not only the cloud properties (optical depth, effective radius, cloud top temperature and cloud water path) but also their uncertainties. APOLLO_NG is designed as a standalone cloud retrieval method robust enough for operational near-realtime use and for application to large amounts of historical satellite data. The radiative transfer solution is approximated by the same two-stream approach which also had been used for the original APOLLO. This allows the algorithm to be applied to a wide range of sensors without the necessity of sensor-specific tuning. Moreover it allows for online calculation of the radiative transfer (i.e., within the retrieval algorithm) giving rise to a detailed probabilistic treatment of cloud variables. This study presents the algorithm for cloud detection and cloud property retrieval together with the physical principles from the APOLLO legacy it is based on. Furthermore a couple of example results from NOAA-18 are presented.
影响因子：
3.8
作者：
T. Holzer-Popp;G. Leeuw;J. Griesfeller;D. Martynenko;L. Klüser;S. Bevan;W. Davies;F. Ducos;
通讯作者：
T. Holzer-Popp;G. Leeuw;J. Griesfeller;D. Martynenko;L. Klüser;S. Bevan;W. Davies;F. Ducos;