Wednesday, 12 July 2006
Grand Terrace (Monona Terrace Community and Convention Center)
Composite mean fields and probability distribution functions (pdfs) of rain rate, cloud type and cover, cloud top temperature, surface wind velocity and water vapor path (WVP) are constructed using satellite observations of midlatitude cyclones from four oceanic regions (North Pacific, South Pacific, North Atlantic, South Atlantic). Reanalysis surface pressure fields are used to ascertain the locations of the cyclone centers, onto which the satellite fields are interpolated to give a database of ~1300 cyclones from a two year period (2003/4). We categorize cyclones by their strength, defined here using surface wind speed, and by their WVP, and find that these two measures can explain a considerable amount of the inter-cyclone variability of other key variables. Composite cyclones from each of the four ocean basins exhibit similar spatial structure for a given strength and WVP. A set of nine composites is constructed from the entire database using three strength and three WVP ranges and is used to demonstrate that the mean column relative humidity of these systems varies only slightly (0.58-0.62) for a doubling in WVP (or equivalently a 7K rise in sea surface temperature) and a 50% increase in cyclone strength. However, cyclone-mean rain rate increases markedly with both cyclone strength and WVP, behavior that is explained with simple moisture convergence and warm conveyor belt models. System-wide high cloud fraction (tops above 440 hPa) increases from 0.19 to 0.26 as cyclone strength increase by 50%, but does not vary systematically with WVP. We suggest that a the composite fields constitute useful diagnostics for evaluating the behavior of large scale numerical models.
Supplementary URL: http://www.atmos.washington.edu/~robwood/data/cyclones.html
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner