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, JoaoSilva, PedroNovo, 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)


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