Memorias de investigación
Artículos en revistas:
Improving QPF by blending techniques at the Meteorological Service of Catalonia
Año:2010
Áreas de investigación
  • Hidrología,
  • Ingenieria civil
Datos
Descripción
The current operational very short-term and shortterm quantitative precipitation forecast (QPF) at the Meteorological Service of Catalonia (SMC) is made by three different methodologies: Advection of the radar reflectivity field (ADV), Identification, tracking and forecasting of convective structures (CST) and numerical weather prediction (NWP) models using observational data assimilation (radar, satellite, etc.). These precipitation forecasts have different characteristics, lead time and spatial resolutions. The objective of this study is to combine these methods in order to obtain a single and optimized QPF at each lead time. This combination (blending) of the radar forecast (ADV and CST) and precipitation forecast from NWP model is carried out by means of different methodologies according to the prediction horizon. Firstly, in order to take advantage of the rainfall location and intensity from radar observations, a phase correction technique is applied to the NWP output to derive an additional corrected forecast (MCO). To select the best precipitation estimation in the first and second hour (t+1 h and t+2 h), the information from radar advection (ADV) and the corrected outputs from the model (MCO) are mixed by using different weights, which vary dynamically, according to indexes that quantify the quality of these predictions. This procedure has the ability to integrate the skill of rainfall location and patterns that are given by the advection of radar reflectivity field with the capacity of generating new precipitation areas from the NWP models. From the third hour (t+3 h), as radar-based forecasting has generally low skills, only the quantitative precipitation forecast from model is used. This blending of different sources of prediction is verified for different types of Correspondence to: A. Atencia (aatencia@meteo.cat) episodes (convective, moderately convective and stratiform) to obtain a robust methodology for implementing it in an operational and dynamic way
Internacional
Si
JCR del ISI
Si
Título de la revista
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
ISSN
1561-8633
Factor de impacto JCR
1,357
Información de impacto
Volumen
10
DOI
10.5194/nhess-10-1443-2010
Número de revista
Desde la página
1443
Hasta la página
1455
Mes
ENERO
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Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Hidroinformática y Gestión del Agua