Automatic Cloud Tracking Applied to GOES and METEOSAT Observations

Endlich, R. M.; Wolf, Daniel E.

doi:10.1175/1520-0450(1981)020<0309:actatg>2.0.co;2

Cited by 32 publications

(14 citation statements)

References 8 publications

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“…However, multichannel infrared sensors might help to improve cloud selection, height assessment and data coverage. Monitoring of cloud motions has a positive influence on synoptic-scale analyses and forecasts (Virji, 1981) but demands the use of automated methods of tracking (Endlich and Wolf, 1981;Tsuchiya and Downey, 1981). In cloud-free areas, winds can often be derived with useful accuracy from water vapor data (Stewart et al, 1985).…”

Section: Satellite Windsmentioning

confidence: 99%

Potentialities and problems of satellite remote sensing with special reference to arid and semiarid regions

Barrett

Hamilton

1986

Climatic Change

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Although satellite remote sensing of the atmosphere and Earth's surfaze has been pursued now for many years, it has not been applied widely in detailed or systematic investigations of the atmospheric and land surface climates of arid and semiarid regions. This paper briefly surveys characteristics of satellite systems that should be considered when evaluating the present and potential roles of satellite remote sensing in arid and semiarid zone research, and in studies of desertification. Actual and potential applications of satellite data in these research areas are then reviewed. It is concluded that satellite data available for arid and semiarid areas have been used in a very fragmentary and unsystematic manner. Proposals are made for exploiting more fully satellite data, especially in investigations of desertification.

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Section: Satellite Windsmentioning

confidence: 99%

Potentialities and problems of satellite remote sensing with special reference to arid and semiarid regions

Barrett

Hamilton

1986

Climatic Change

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“…Cloud motion vectors can be used to derive wind fields at one or more levels. 60 " 62 In addition, rainfall patterns and amounts can be estimated by means of empirical relationships linking satellite-derived cloud heights (as represented by "brightness" temperatures) to rainfall rates. 63 Such wind and precipitation estimates have been prepared from information obtained by the Japanese Geosynchronous Meteorological Satellite for use in applying ENAMAP to the area shown in Figure II.…”

Section: Data-sparse Regionsmentioning

confidence: 99%

Interregional Exchanges of Air Pollution: Model Types and Applications

Johnson

1983

Journal of the Air Pollution Control Association

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“…This approach also enables the derivation of cloud velocity. Optical flow was found the most suitable approach for cloud tracking during this study, while other cloud tracking methods were the topic of several previous publications (Endlich and Wolf, 1981;Guillot et al, 2012;Escrig et al, 2013). The CMV field and velocities are utilized to calculate the streamline of the flow field reaching the location of interest.…”

Section: Introductionmentioning

confidence: 99%