Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11765/10974
Automatic Forecasts Algorithms
| Title: | Automatic Forecasts Algorithms |
| Authors: | Rio, Joao; Silva, Pedro; Novo, Ilda |
| Keywords: | Automatic weather forecasting; Algorithms; ECMWF high-resolution and ensemble system; AROME |
| Issue Date: | 2019 |
| Publisher: | Agencia Estatal de Meteorología |
| Citation: | Sexto Simposio Nacional de Predicción, Memorial Antonio Mestre. Madrid: Agencia Estatal de Meteorología, 2019, p. 187-192 |
| Publisher version: | https://dx.doi.org/10.31978/639-19-010-0.187 |
| Abstract: | The need for forecasts at an increasingly higher number of locations and time frequency requires a fully automated forecast system. Due to model biases, statistical post-processing is required to improve the quality of the forecasts in variables such as temperature, humidity and wind speed. The automatic forecasting algorithms developed at IPMA provide forecasts up to 10 days and use ECMWF and AROME data. |
| Description: | Ponencia presentada en: VI Simposio Nacional de Predicción, celebrado en los servicios centrales de AEMET, en Madrid, del 17 al 19 de septiembre de 2018. |
| URI: | http://hdl.handle.net/20.500.11765/10974 |
| Appears in Collections: | 6º Simposio Nacional de Predicción (2018) |
Files in This Item:
| File | Description | Size | Format | ||
|---|---|---|---|---|---|
 | SNP6_SESIÓN_3_pp187_1... | 989,29 kB | Adobe PDF |  View/Open |
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