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Short-term Prediction Research and Transition Center (SPoRT) Data Assimilation |
 | | The high temporal resolution of the lightning data (which were correlated with instantaneous estimates of rainrate to adjust model latent heating) was critically important for the model to correctly forecast the large scale development of the extratropical cyclone, including key parameters such as precipitation and minimum pressure. |
 | | Physical approaches include use of lightning as a deterministic trigger for the cloud parameterization scheme, and use of lightning to quantitatively nudge model fields, including dynamical (updraft/downdraft profile and intensity), thermodynamical (latent heating), microphysical (precipitation efficiency) and/or environmental (boundary layer heat and moisture) properties. |
 | | Alexander, G. Weinman, V. Karyampudi, W. Olson, and A. Lee, 1999: The impact of the assimilation of rain rates from satellites and lightning on forecasts of the 1993 Superstorm. |
| www.ghcc.msfc.nasa.gov /sport/sport_forecasting.html (1983 words) |
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