Decadal climate predictions with the ECMWF coupled system · 2019-12-12 · AGCI Workshop on...

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AGCI Workshop on Decadal Predictions - Aspen 26 June -1 July 2011 1/25 Decadal climate predictions with the ECMWF coupled system Susanna Corti European Centre for Medium-Range Weather Forecasts With contributions from Magdalena Balmaseda, Linus Magnusson, Franco Molteni, Frederic Vitart, Antje Weisheimer and Tim Palmer

Transcript of Decadal climate predictions with the ECMWF coupled system · 2019-12-12 · AGCI Workshop on...

Page 1: Decadal climate predictions with the ECMWF coupled system · 2019-12-12 · AGCI Workshop on Decadal Predictions - Aspen 26 June -1 July 2011 1/25 Decadal climate predictions with

AGCI Workshop on Decadal Predictions - Aspen 26 June -1 July 2011 1/25

Decadal climate predictions with

the ECMWF coupled system

Susanna Corti European Centre for Medium-Range Weather Forecasts

With contributions from Magdalena Balmaseda, Linus Magnusson, Franco Molteni, Frederic Vitart, Antje Weisheimer and Tim Palmer

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Outline

•  Decadal (10-year), 1960-2005 (varying GHG, no volcanoes)

•  IFS cycle 36r1 (T159 91 vertical levels), Nemo 3 (42 vertical levels 1° average resolution), sampled sea-ice. Initialisation: ECMWF reanalysis ERA and NemoVar

•  Starting dates November every 5th year

•  Full initialisation

•  Anomaly initialisation

•  Heat and momentum flux correction

•  7 ensemble members (+3 with volcanoes for control and flux correction)

•  Overall Grand Ensemble of 27 members

Experiments:

Diagnostics: •  Heat content and heat transport (very preliminary diagnostics)

•  Nino3.4 plumes for 2 major El Nino events

•  Teleconnection patterns (i.e. Regressions between SSTs and Atmospheric fields)

•  Deterministic & Probabilistic scores

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Momentum flux correction - rationale

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Cross-section ocean bias U-current

Temperature

(Walker circulation feedback)

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North Atlantic 300 m Heat Content

Black: Analysis Red: Full Ini. Purple: Anom. Ini Blue: Flux Correction

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Control

U- and H-flux correction

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MOC � � � � � � � � �

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ATL50N 170 l$v$l= 4901.46

1960 1970 1980 1990 2000 2010 2020Tim$

0.55

0.60

0.65

0.70

0.75

0.80

0.85

North Atlantic Heat Transport –50N

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Diagnostics – Regression SST in Nino3.4 vs. SST

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Diagnostics – Regression SST in Nino3.4 vs. Precipitation vs. Precipitation vs. Precipitation � � � � � � � � � � � �

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Tropical storms - Flux corrected exp.

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Diagnostics – NHE Winter -500hPa regional EOFs – Full Ini.

EOF1 DJF American-Pacific

EOF1 DJF Euro-Atlantic

EOF1 DJF Asian-West Pacific

Covariance with 2m temperature

Reanalysis Model

Covariance with 2m temperature

EOF1 DJF American-Pacific

EOF1 DJF Euro-Atlantic

EOF1 DJF Asian-West Pacific

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Diagnostics – NHE Winter - MSLP 1st EOF – Full Ini.

EOF1 DJF NH

Cov 2Tm (NH,DJF)

EOF1 JJA SH

Reanalysis Model

EOF1 JJA NH

Cov 2Tm (NH,JJA)

EOF1 DJF SH

EOF1 DJF NH

Cov 2Tm (NH,DJF)

EOF1 JJA SH

EOF1 JJA NH

Cov 2Tm (NH,JJA)

EOF1 DJF SH

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ACC – YR 2-6 - YRs 6-9 - 12-month average – T2m

Near surface Air temperature ACC yr 2-5 - full ini.

Near surface Air temperature ACC yr 6-9 - full ini.

Near surface Air temperature ACC yr 2-5 – flux cor.

Near surface Air temperature ACC yr 6-9 – flux cor.

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ACC – YR 2-6 - YRs 6-9 - 12-month average – T2m

Near surface Air temperature ACC yr 6-9 - full ini.

Near surface Air temperature ACC yr 6-9 – Grand Ens.

Near surface Air temperature ACC yr 2-5 - full ini.

Near surface Air temperature ACC yr 2-5 – Grand Ens.

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Time series - AMO index

2-5 yr - Cor=0.92 Spread/RMSE=0.67 RPSS=0.39

6-9 yr - Cor=0.45 Spread/RMSE=0.45 RPSS=-0.15

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Time series - North Atlantic SSTs

2-5 yr - Cor=0.85 Spread/RMSE=0.58 RPSS=0.13

6-9 yr - Cor=0.93 Spread/RMSE=0.67 RPSS=-0.60

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Time series - Global average 2-metre temperature

2-5 yr - Cor=0.95 Spread/RMSE=0.63 RPSS=0.52

6-9 yr - Cor=0.96 Spread/RMSE=0.73 RPSS=-0.67

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Probabilistic scores - Mean Square Skill Score MSSS

Near surface Air temperature MSSS yr 2-5 – Grand Ens.

Near surface Air temperature MSSS yr 1 – Grand Ens.

Near surface Air temperature MSSS yr 6-9 – Grand Ens.

Near surface Air temperature MSSS yr 2 – Grand Ens.

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Reliability diagram

Poor resolution Good resolution

Reliability score (the smaller, the better) Resolution score (the bigger, the better)

c c

Size of red bullets represents number of forecasts in probability category (sharpness)

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Brier Skill Score & Reliability Diagram

UNCRELRES

UNCUNCRESREL −

=+−

−=1

• How to construct the area of positive skill?

perfect reliability

Obse

rved

Fre

quen

cy

Forecast Probability

line of no skill

area of skill (RES > REL)

climatological frequency (line of no resolution)

BSS =1− BSBSc

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Reliability diagrams - T2m - 2-5 yr

T2m anomaly below the lower tercile - Global average

T2m anomaly above the upper tercile - Global average

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Reliability diagrams - T2m - 6-9 yr

T2m anomaly above the upper tercile - Global average

T2m anomaly below the lower tercile - Global average

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Reliability diagrams - T2m - 2-5 yr

T2m anomaly above the median over North America

T2m anomaly above the median over Europe

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Summary

 The IFS/NEMO coupled model is affected by an overall cold SST bias, with a too strong Pacific equatorial cold tongue (especially in summer).

 Flux correction improves the mean state and ENSO variability.

 In spite of model drift and the fact that several climate processes, such as those related to sea-ice formation, export and melting, are not represented in the model, the decadal prediction experiments show a positive forecast quality that can be statistically significant over several areas.

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Yr 6-10 Full Initialisation (bias correction)

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Yr 6-10 Full Initialisation

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Yr 6-10 Full Initialisation