In an attempt to quantify the impact of these supplemental data, data denial studies have been performed for both the dropwindsonde and rawinsonde observations. Analyses were created excluding both supplemental data types using the National Centers for Environmental Prediction (NCEP) Gridpoint Statistical Interpolation (GSI) data assimilation scheme. Then both the NCEP Global Forecast System (GFS) and Hurricane Research and Weather Forecasting (HWRF) models were run using the GSI analyses that excluded the supplemental observations. Differences between the operational forecasts of the GFS and HWRF and the forecasts from the “data-denial” runs will be used to quantify the impact of the supplemental observations on the forecast of Hurricane Irene in both models. Results from this study may be useful in determining when and where to task supplemental observations in future cases.
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