Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JAS-D-18-0345.1 |
Cellular Statistical Models of Broken Cloud Fields. Part IV: Effects of Pixel Size on Idealized Satellite Observations | |
Alexandrov, Mikhail D.1,2; Marshak, Alexander3 | |
2019-05-01 | |
发表期刊 | JOURNAL OF THE ATMOSPHERIC SCIENCES
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ISSN | 0022-4928 |
EISSN | 1520-0469 |
出版年 | 2019 |
卷号 | 76期号:5页码:1329-1348 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | In the fourth part of our "Cellular Statistical Models of Broken Cloud Fields" series we use the binary Markov processes framework for quantitative investigation of the effects of low resolution of idealized satellite observations on the statistics of the retrieved cloud masks. We assume that the cloud fields are Markovian and are characterized by the "actual" cloud fraction (CF) and scale length. We use two different models of observations: a simple discrete-point sampling and a more realistic "pixel" protocol. The latter is characterized by a state attribution function (SAF), which has the meaning of the probability that the pixel with a certain CF is declared cloudy in the observed cloud mask. The stochasticity of the SAF means that the cloud-clear attribution is not ideal and can be affected by external or unknown factors. We show that the observed cloud masks can be accurately described as Markov chains of pixels and use the master matrix formalism (introduced in Part III of the series) for analytical computation of their parameters: the "observed" CF and scale length. This procedure allows us to establish a quantitative relationship (which is pixel-size dependent) between the actual and the observed cloud-field statistics. The feasibility of restoring the former from the latter is considered. The adequacy of our analytical approach to idealized observations is evaluated using numerical simulations. Comparison of the observed parameters of the simulated datasets with their theoretical expectations showed an agreement within 0.005 for the CF, while for the scale length it is within 1% in the sampling case and within 4% in the pixel case. |
英文关键词 | Cloud cover Clouds Cumulus clouds Satellite observations Statistical techniques |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000467264300002 |
WOS关键词 | STOCHASTIC RADIATIVE-TRANSFER ; RENEWAL THEORY ; TRANSPORT ; MODIS ; PRODUCTS ; FRACTION ; ERRORS ; COVER ; TERRA |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/183022 |
专题 | 地球科学 |
作者单位 | 1.Columbia Univ, Dept Appl Phys & Appl Math, New York, NY 10027 USA; 2.NASA, Goddard Inst Space Studies, New York, NY 10025 USA; 3.NASA, Goddard Space Flight Ctr, Greenbelt, MD USA |
推荐引用方式 GB/T 7714 | Alexandrov, Mikhail D.,Marshak, Alexander. Cellular Statistical Models of Broken Cloud Fields. Part IV: Effects of Pixel Size on Idealized Satellite Observations[J]. JOURNAL OF THE ATMOSPHERIC SCIENCES,2019,76(5):1329-1348. |
APA | Alexandrov, Mikhail D.,&Marshak, Alexander.(2019).Cellular Statistical Models of Broken Cloud Fields. Part IV: Effects of Pixel Size on Idealized Satellite Observations.JOURNAL OF THE ATMOSPHERIC SCIENCES,76(5),1329-1348. |
MLA | Alexandrov, Mikhail D.,et al."Cellular Statistical Models of Broken Cloud Fields. Part IV: Effects of Pixel Size on Idealized Satellite Observations".JOURNAL OF THE ATMOSPHERIC SCIENCES 76.5(2019):1329-1348. |
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