TIGGE

AcronymDefinition
TIGGETHORPEX (The Observing System Research and Predictability Experiment) Interactive Grand Global Ensemble (World Meteorological Organization)
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References in periodicals archive ?
Construction of Flood Forecast Model Based on TIGGE Ensemble Precipitation Forecast
Our discussion will be quite brief, since the history, accomplishments, and goals of TIGGE were recently described in Swinbank et al.
It is modeled in part on The Observing System Research and Predictability Experiment (THORPEX) Interactive Grand Global Ensemble (TIGGE) database for medium-range forecasts (up to 15 days; Bougeault et al.
Matsueda, 2016: Verification of global numerical weather forecasting systems in polar regions using TIGGE data.
As a major component of The Observing System Research and Predictability Experiment (THORPEX), TIGGE (the THORPEX Interactive Grand Global Ensemble) dataset consists of ensemble forecast datasets from eleven main forecasting centers worldwide, starting in 2006, aimed at improving the accuracy of high-impact weather forecasts within two weeks [12, 13].
The forecast of relative humidity begins with the World Meteorological Organization (WMO) The Observing System Research and Predictability Experiment (THORPEX) Interactive Grand Global Ensemble (TIGGE; Bougeault et al.
The Observing System Research and Predictability Experiment (THORPEX) Interactive Grand Global Ensemble (TIGGE) is a database of weekly ensemble forecasts from major operational centers that can be used to verify the forecast skill during high-impact weather regimes.
The assertion that the use of multiple models is an important aspect of the improved skill is supported by a number of previous efforts [e.g., ClimateSystem Historical Forecast Project (CHFP; www .wcrp-climate.org/wgsip/chfp/index.shtml), North American Ensemble Forecast System (NAEFS; www.emc.ncep.noaa.gov/gmb/ens/NAEFS.html), The Observing System Research and Predictability Experiment (THORPEX) Interactive Grand Global Ensemble (TIGGE; http://tigge.ecmwf.int/), Development of a European Multimodel Ensemble System for Seasonal-to-Interannual Prediction (DEMETER; www.ecmwf.int/research/demeter /index.html), and Ensemble-Based Predictions of Climate Changes and their Impacts (ENSEMBLES; www.ecmwf.int/research/EU_projects /ENSEMBLES/index.html)].