Difference between revisions of "GLOFAS(eng)"

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More info at: [http://www.globalfloods.eu/technical-information/glofas-30V2day/ GLOFAS documentation on line]
 
More info at: [http://www.globalfloods.eu/technical-information/glofas-30V2day/ GLOFAS documentation on line]
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|Available variables
 
|Available variables
|Expected flood (return period = 5, 20 years)
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|Inondation prévue (période de retour = 5, 20 ans)
 
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|Available accumulations
 
|Available accumulations

Latest revision as of 14:04, 4 August 2022

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Layer name GLOFAS Alert Probability
Tag Hydrological Models
Folder
Source Global Flood Awareness System
Description GloFAS 30-day v2.0 uses the Lisflood river routing model (van der Knijff et al., 2010) to propagate along the river channel the surface and sub-surface runoff forecasts of the HTESSEL land surface model (Balsamo et al., 2009) of the ECMWF ENS medium- and extended-range forecasting system to produce daily discharge forecasts. In GloFAS 30-day v2.0, Lisflood was calibrated for better accounting for the variability in the hydrological processes (Hirpa et. al., 2018). More details can be found in the Lisflood calibration page.

ECMWF-ENS is the ensemble forecast of ECMWF and consists of 51 members at ~ 18 km resolution up to 15 days, increasing to ~36 km from day 16 to 30. ECMWF ENS runoff forecasts are resampled to 0.1 spatial resolution (~10 km) before being used as daily input to Lisflood to produce discharge up to day 15; from day 16 the latest available extended range forecast is used as forcing to produce seamless discharge forecasts for 30 days. GloFAS 30-day v2.0 initial conditions (atmosphere and land surface states from which to start the ensemble discharge forecast) are based on a 5-day monitoring analysis of the latest proxy-observations, the ERA5 ECMWF reanalysis. Because of ERA5’s has a ~2 days latency (compared with real time), ERA5 is used only as long as it is available; for the remaining 2 to 3 days, prior to the GloFAS 30-day forecast, the day-1 of ECMWF-ENS-CNTL forecast is taken as input.

More info at: GLOFAS documentation on line


Screenshot
All glofas.JPG
Legend
Properties
Available variables Inondation prévue (période de retour = 5, 20 ans)
Available accumulations
Available interpolation algorithms
Available filters
Spatial aggregations



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