FOEN is using the Flood Early Warning System (FEWS) with the hydrological model HBV for operational flood forecasts in the swiss part of the Rhine basin. With respect to MAP D-PHASE FEWS has been extended
The D-Phase MicroPEPS is a LAF-Ensemble (lagged average forecast) that is based upon 5 different high resolution models:
COSMOCH2
LMK
AROME
CMCGEMH
ISACMOL2
The individual
The SRNWP-PEPS consists of 21 different operational limited area models:
Weather Service / Limited Area Model / Resolution [km] / Coupling Model / Forcast Period / Time Interval [h] / Main Run [UTC]
COSMO-SREPS (csreps) is a high-resolution ensemble system for the short-range (up to three days). The system consists of 16 integrations of the non-hydrostatic limited-area model COSMO. The model is run
INMSREPS is 20 Member Multi-Model, Multi-Boundaries on 0.25 degree horizontal resolution with 40 vertical levels running twice a dayat 00 and 12 UTC. Forecast from HH+00h upto HH+72 h (with 6hourly forecast
dphase_prevah
The hydrological model PREVAH is adopted for (ensemble) runoff forecasts for several basins in Switzerland and North Italy.
Runoff nowcasting is driven by observed meteorology consisting
cleps stands for COSMO-LEPS, the Limited-area Ensemble Prediction System implemented and developed by ARPA-SIM in the framework of COSMO consortium.
This system is made up of 16 integrations with the
ModE-Sim (short for Modern Era Simulations) is a medium-size ensemble of model simulations using the ECHAM6 atmosphere general circulation model (model version 6.3.5p2, doi:10.17617/2.1810480). Its setup
This project envelops different activities using the multi-resolution Finite Element Sea Ice-Ocean Model (FESOM) for climate studies. FESOM is used primarily at Climate Sciences division of AWI and is
Project: MiKlip-VESPA Experiments: idealized simulations under constant pre-industrial orbital and GHG conditions, sea surface temperature anomaly pattern from Schubert et al. 2009 corresponding to warm
RT3 has the responsibility for providing improved climate model tools developed in the context of regional models, but contributing to high-resolution modelling in general, first at spatial scales of 50
RT3 has the responsibility for providing improved climate model tools developed in the context of regional models, but contributing to high-resolution modelling in general, first at spatial scales of 50
RT3 has the responsibility for providing improved climate model tools developed in the context of regional models, but contributing to high-resolution modelling in general, first at spatial scales of 50
RT3 has the responsibility for providing improved climate model tools developed in the context of regional models, but contributing to high-resolution modelling in general, first at spatial scales of 50
RT3 has the responsibility for providing improved climate model tools developed in the context of regional models, but contributing to high-resolution modelling in general, first at spatial scales of 50