Title: Diapositiva 1
1A reconciling blocking index applied to
observations and GCMs
2Perspectives
Perspectives
Concept Diagnosis
GCMs Conclusions
Objective design Homogeneization (same period
reanalysis) Update Aplication to SH GCMs
Blocking (Barriopedro et al. 2006)
Cyclones (Trigo et al. 1999)
WTs (Trigo DaCamara 2000)
Cut-off lows (Nieto et al. 2005)
Jet stream (Gallego et al. 2005)
Barriopedro et al. (2006). J. Clim. Trigo et al.
(1999). J. Clim. Trigo DaCamara (2000). Int. J.
Clim. Nieto et al. (2005). J. Clim Gallego et al.
(2005). Clim. Dyn.
3Concept
Perspectives
Concept Diagnosis
GCMs Conclusions
- Large-scale, quasi-stationary and persistent
anticyclonic systems that interrupt the regular
eastward progression of the synoptic
perturbations - Blocks occurrence implies a strong modification
of the westerlies ? significant impact in the
regional climates of the mid and high latitudes - Almost no studies addressing blocking in GCMs
(IPCC, 2007), even when they were first mentioned
at the beginning of the 20th century!!!
Trigo et al., (2004). Clim. Dyn. García-Herrera
et al. (2007). J. Hydromet.
4Blocking indices
Perspectives
Concept Diagnosis
GCMs Conclusions
- Two main traditions based on absolute (Tibaldi
and Molteni 1990, TM) and anomaly fields (Dole
and Gordon 1983, DG) - Each definition has their own assets and
caveats, emphasizing different and partial
blocking features ? a combined approach is
expected to bring a more efficient diagnosis,
avoiding shortcomings that arise from single
approaches
Classification and evaluation of previous
reported blocking methods.
5Blocking definition
Perspectives
Concept Diagnosis
GCMs Conclusions
- Blocking index a reconcinling methodology is
designed by detecting 2-D Z500 positive anomalies
above a given threshold (za) associated with
easterly winds around a latitude (?c)
representative of the jet stream
Scheme of daily blocking detection
6Critical parameters
Perspectives
Concept Diagnosis
GCMs Conclusions
- Reference latitude the latitude of max.
high-frequency (lt5 days) Z500 variance for
running windows of 90-dy and 25-yr - Anomaly threshold s (115 gpm).
Left Mean annual (solid) and seasonal (dashed,
dotted) reference latitude. Light (dark) shaded
indicates 1s of the monthly (annual) means.
Right High-pass Z500 variance (shaded), U500
(contours) and the reference latiude.
Annual distribution of daily Z500 anomalies and
the 1s values.
Series of daily Z500 (up) and Z500 anomalies
(bottom). 5-day persistent anomalies higher than
115 gpm are highlighted
7Secondary criteria
Perspectives
Concept Diagnosis
GCMs Conclusions
- Extension criterion Am LR ?F 7.5º 15º
106 km2 - Tracking A blocking anomaly detected in di is
said to persist the next day di1 if it shows a
minimum overlapping of 30. (equivalent to a
maximum speed of 10º/day) - Duration criterion t 5 days
Histogram of blocking event durations (right) and
exponential fit in a log-plot (left)
8Comparison with previous indices
Perspectives
Concept Diagnosis
GCMs Conclusions
9Application to GCMs
Perspectives
Concept Diagnosis
GCMs Conclusions
- Thresholds are objective and specific of the
data set employed, being indicators of the model
performance. - Model experiments a) 25 time-slice members of
40-yr from a 1000-year control simulation (CTL)
and b) the ensemble (FOR) of two 1000-1989 forced
simulations of the ECHO-G AOGCM (e.g.
González-Rouco et al. 2008).
Critical parameters in OBS (dark) and ECHO-G
(light) reference latitude (left) and anomaly
threshold (right).
10Model performance
Perspectives
Concept Diagnosis
GCMs Conclusions
- Preferred regions for blocking occurrence are
well captured, but with a considerable
underestimation over the Euro-Atlantic sector in
cold seasons (NDJ) and Eurasia in warmer months
(MJJ). - Most of the frequency underestimation relates to
the model inability to simulate long-lasting
blocking events. However, the model provides a
realistic simulation of the shape of the annual
cycle.
2-D blocking frequency in OBS (lines) and FOR
(shaded).
Left Blocking duration distribution and
characteristic time scales in OBS (light) and FOR
(dark). Right annual cycle of the blocking
frequency in OBS (solid) and FOR (dotted), with
differences in the bottom.
11Model errors
Perspectives
Concept Diagnosis
GCMs Conclusions
- The model failure arises from its inability to
simulate height reversals over the Euro-Atlantic
sector (i.e. biases in the absolute field),
rather than anomalies of the right amplitude
(i.e. biases in intra-seasonal variance). - Two superimposed model errors 1) excessive
zonal wind and 2) southward shift of the jet
stream. These biases are observed trough the
whole year, but they peak in NDJ over the
Euro-Atlantic and in MJJ over Eurasia,
respectively, being timely and coincidental with
blocking underestimations.
Systematic model errors U500 (left) and location
and intensity of the jet stream (middle and right)
12Conclusions
Perspectives
Concept Diagnosis
GCMs Conclusions
- An reconciling blocking index between
traditional approaches is proposed, being
applicable to observations and model simulations
of different resolutions, temporal lengths and
time variant basic states. - The method succeeds in identifying persistent
anomalies with blockage of the westerlies and
avoids artificial assumptions and identification
problems associated to other indices. - The ECHO-G model captures with reasonable
realism the main blocking features, namely
preferred locations, annual cycle and exponential
duration distributions, but reveals a
considerable underestimation over the
Euro-Atlantic sector. - Two model biases are responsible for the
blocking underestimation 1) its inability to
generate amplified waves due to excessive zonal
winds in cold months and 2) its tendency to place
the jet stream further south of the observed one
in warm months. - As compared to the industrial period, Pacific
blocking was more frequent in the past, whereas
prolonged periods of high Atlantic blocking
activity dominated the 17th and 18th centuries,
supporting a blocking effect in the cold
conditions that affected Europe during the
Maunder Minimum.