Experimental ECMWF IFS Ensemble Forecasts Page
Helmholtz-YIG SPREADOUT@KIT
prior Dynamos@IACETHZ IFS products (no more updated)

contact: christian.grams(at)gmx.de | Access to ECMWF data kindly provided by DWD.

Operational IFS Ensemble Forecasts


Weather
  Regimes
a) "Weather regimes": relative number of members attributed to one of the 7 regimes or to no regime.



Technical Updates / Information

20230919 Revision of the webpage. ETH hres products are switched of by DYNAMOS at ETH. We run extended-range weather regime forcasts, uncalibrated for the new operationsl 100 member IFS extended-range ensemble since its preoperational release in March 2023. In addition we currently try to run the Lagrangian medium-range WCB ensemble forecasts. Other browsing tools can be used to look into the archives.
20230302: Ongoing server outage. Migration to ECMWF. E-suite daily 100member extended-range implemented. Medium-range and operational extended-range still manually.
20221127: since Oct 2022 limited availability due to server outage at KIT. I try to process 00UTC medium-range forecasts once per day.
20210201: extended-range now with 10d low-pass filtered data not 5d.
20190126 Major Updates:
Additional plots and refinements in the regime definition: 20180404 First online release:
The anomaly of 500hPa geopotential height (Z500) (unfiltered data) relative to a 90d running mean is computed for each member,
high resolution (HR) and control forecast (CF), and the ensemble mean (EM). The anomaly is normalized and
projected on the cluster mean anomaly of the year-round seven regimes of Grams et al. (2017).
The projection is normalized following Michel and Rivière (2011) to compute a weather regime index IWR.
A member/CF/HR/EM is attributed to a regime if IWR is above 1.0


Short description of available plots (medium-range):



Climatological Z500 anomaly
(g) Z500 clim: climatological anomalies of the 7 weather regimes wrt. 90d running mean centered at current initial time.



Former IFS Weather Regime Forecasts (for browsing, operational from about 2018-2022)

References:
Michel, C., and G. Rivière, 2011: The Link between Rossby Wave Breakings and Weather Regime Transitions. J. Atmospheric Sci., 68, 1730–1748, doi:10.1175/2011JAS3635.1.
Grams, C. M., R. Beerli, S. Pfenninger, I. Staffell, and H. Wernli, 2017: Balancing Europe/’s wind-power output through spatial deployment informed by weather regimes. Nat. Clim. Change, 7, 557–562, doi:10.1038/nclimate3338.
Grams, C. M., L. Magnusson, and E. Madonna, 2018: An atmospheric dynamics' perspective on the amplification and propagation of forecast error in numerical weather prediction models: A case study. Quart. J. Roy. Meteor. Soc., 144, 2577–2591, doi:10.1002/qj.3353.



Last update 19 September 2023.
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