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:
Persistence now required for active WR life cycle
attribution in plot "Weather regimes". Effective from initial time
20190126_00. For earlier initial times "Weather regimes" equals what we now
call "WR Simple LC". We experiment with 4 day persistence as
indicated in the plot.
"WR Simple LC": instantaneous regime attribution if maximum IWR above 1.0
. For initial times before 20190126_00 this is plot "Weather
regimes".
"WR Members": Matrix plot showing the temporal evolution
of active WR life cycles in each member. WR attribution requiring persistence.
Plots of surface variables as mean of all members
attributed to a WR. Before 20190126_00 this was based on instantaneous WR
attribution. From 20190126_00 this is based on attribution including
persistence (attribution as in "Weather regimes").
"Z500 mean/std" now also based on attribution including
persistence.
WR products for bi-weekly ECMWF extended-range (S2S) ensemble
forecast out to day 45: "Weather Regimes", "WR index", "WR maxIWR",
"WR Simple LC", "WR Members". Here Z500 anomalies are 5 day low-pass-filtered
prior for computing the projection. The sophisticated WR life cycle
definition as in Grams et al. (2017) is used for WR attribution and
includes merging of subsequent life cycles and a 5 day persistence.
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
(a) "Weather regimes": relative number of ensemble members
(including CF) attributed to a regime at each forecast step. The regime
has the maximum IWR at that time and the time is within a
period of IWR above 1.0 for that regime. Length "pers" of the
period indicated in plot (currently pers=96h).
(b) "WR Index": distribution of IWR in the ensemble at
each forecast step.
(c) "WR Index ana.": IWR for the unfiltered analysis during the last 365 days.
(d) "WR Simple LC": instantaneous regime attribution. The
regime has the maximum IWR at that time and IWR is above 1.0, no persistence.
(e) "WR maxIWR": instantaneous attribution to a regime as
in (d) but IWR must only be the maximum, not necesessarily above
1.0.
(f) "WR Members": Matrix plot showing the temporal evolution
of active WR life cycles in each member. WR attribution requiring
persistence and IWR above 1.0 (attribution as in "Weather regimes").
(g) "Z500 clim" 90 day climatological running mean of Z500
centered at initial time.
(h) "Z500 mean/std"mean and standard devition of Z500 for
all members attributed to the respective regime. ("Weather regimes" attribution).
(i) "T2M, T2M Ano, W100M, W100M Ano, TCC, PRECIP": mean
of 2m temperature, 2m temperature anomaly, 100m wind, 100m wind
anomaly, total cloud cover, 6h precipitation for all members
attributed to the respective regime ("Weather regimes"
attribution). 2m temperature available for a "North Atlantic" and
"Europe" domain
(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)
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.
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