Station model
Above or below the circle for manned stations (automatic stations do not report cloud types) that indicates sky cover can lie one or more symbols indicating cloud types in any of the low, middle, and high-étages for tropospheric clouds. One predominant cloud type may be depicted for each of three étages, if known. The middle and high-étage types are depicted above the sky cover circle of the station model, while the main low-étage cloud type is indicated below the circle. Since the station model has limited room, it makes no special provision for vertical or multi-level clouds that can occupy more than one étage at a particular time. Consequently, cloud genera with significant vertical development may be coded and plotted as low or middle depending on the altitude at which they normally form. Cumulus and cumulonimbus usually form in the low étage of the troposphere and achieve vertical extent by growing upward into the middle or high étage. Conversely, nimbostratus usually forms in the middle étage of the troposphere and becomes vertically developed by growing downward into the low étage. Although the SYNOP code has no separate formal group classification for vertical or multi-level clouds, the observer procedure for selecting numerical codes is designed to give high reporting priority to those genera or species that show significant vertical development.
Global Energy and Water Cycle Experiment
GEWEX Cloud System Study (GCSS) task is to individualize modeling for different types of cloud systems. GCSS identifies 5 types of cloud systems:boundary layer, cirrus, extra tropical layer, precipitating convective, and polar. These cloud systems are generally too small to be rationalized in large scale climate modeling, this results in inadequate development of equations resulting in greater statistical uncertainty in results. In order to rationalize these process the study observes cloud systems at single fixed positions on earth in order to better estimate their parameters. These four areas are: Azores and Madeira Islands, Barbados, Equatorial Western Pacific, and Atlantic Tropics. The initial data collection is complete, methods developed for land and aircraft based observations can be compared with satellite observations to that better models of cloud system identification can be made at smaller scales.