Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Using nowcasting technique and data assimilation in a meteorological model to improve very short range hydrological forecasts

Articolo
Data di Pubblicazione:
2019
Abstract:
Forecasting flash floods some hours in advance is still a challenge, especially in environments made up of many small catchments. Hydrometeorological forecasting systems generally allow for predicting the possibility of having very intense rainfall events on quite large areas with good performances, even with 12-24 h of anticipation. However, they are not able to predict the exact rainfall location if we consider portions of a territory of 10 to 1000 km(2) as the order of magnitude. The scope of this work is to exploit both observations and modelling sources to improve the discharge prediction in small catchments with a lead time of 2-8 h.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
rainfall assimilation; nowcasting; meteorological forecasts; hydrological forecasts
Elenco autori:
Davolio, Silvio
Autori di Ateneo:
DAVOLIO SILVIO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/371493
Pubblicato in:
HYDROLOGY AND EARTH SYSTEM SCIENCES
Journal
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)