The Effect of Assimilating Rain Rates Derived from Satellites and Lightning on Forecasts of the 1993 Superstorm
Autor: | William S. Olson, James A. Weinman, A. C. L. Lee, G. David Alexander, V. Mohan Karyampudi |
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Rok vydání: | 1999 |
Předmět: | |
Zdroj: | Monthly Weather Review. 127:1433-1457 |
ISSN: | 1520-0493 0027-0644 |
DOI: | 10.1175/1520-0493(1999)127<1433:teoarr>2.0.co;2 |
Popis: | Inadequate specification of divergence and moisture in the initial conditions of numerical models results in the well-documented “spinup” problem. Observational studies indicate that latent heat release can be a key ingredient in the intensification of extratropical cyclones. As a result, the assimilation of rain rates during the early stages of a numerical simulation results in improved forecasts of the intensity and precipitation patterns associated with extratropical cyclones. It is challenging, however, particularly over data-sparse regions, to obtain complete and reliable estimates of instantaneous rain rate. Here, a technique is described in which data from a variety of sources—passive microwave sensors, infrared sensors, and lightning flash observations—along with a classic image processing technique (digital image morphing) are combined to yield a continuous time series of rain rates, which may then be assimilated into a mesoscale model. The technique is tested on simulations of the notor... |
Databáze: | OpenAIRE |
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