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Whither ENSO? Assessing El Ni ñ o/Southern Oscillation risks for the coming decades. Andrew Wittenberg NOAA/GFDL. Earth's dominant year-to-year climate fluctuation:. Normal. El Ni ñ o. NOAA/CPC. How will ENSO behave in the coming decades?.
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Whither ENSO? Assessing El Niño/Southern Oscillation risks for the coming decades Andrew Wittenberg NOAA/GFDL
Earth's dominant year-to-year climate fluctuation: Normal El Niño NOAA/CPC
How will ENSO behave in the coming decades? ENSO drives/confounds global SI-to-decadal variability. CMIP5 & AR5 – new focus on near-term (30yr) projections. If we knew the next decade would have: - mega-ENSO → insure, invest, prepare, monitor & model - no ENSO → different investments, e.g. rebuild habitats
Both historical & paleo records suggest past modulation of ENSO Historical SSTA (ERSST.v3) Palmyra corals (Cobb et al., Nature 2003) Multiproxy reconstructions: e.g. Emile-Geay et al. (2011abc, subm.) Vecchi & Wittenberg (WIREsCC 2010)
Projected ENSO changes (CMIP3/AR4) Weak/ambiguous near-term anthropogenic impacts on ENSO Intrinsic modulation Reviews: Meehl et al. (IPCC-AR4 2007) Guilyardi et al. (BAMS 2009) Vecchi & Wittenberg (WIREs CC 2010) Collins et al. (Nature Geosci. 2010) CM2.1 std(SLP.PC1 of SRES.A2 (2051-2100)) / std(SLP.PC1 of 20C3M) 30S-30N, 30E-60W van Oldenborgh et al. (OS 2005) correl(SST trend of 1%/yr, SST.PC1 of PICTRL) 10S-10N, 120E-80W Yamaguchi & Noda (JMSJ 2006)
GFDL CM2.1 global coupled GCM atmos: 2°x2.5°xL24 finite volume ocean: 1°x1°xL50 MOM4 (1/3° near equator) 2hr coupling; ocean color; no flux adjustments ENSO & tropics rank among top AR4-class models SI forecasts; parent of GFDL AR5 models (ESM2M, ESM2G, CM3, CM2.5) 4000-year pre-industrial control run 1860 atmospheric composition, insolation, land cover 220yr spinup from 20th-century initial conditions big investment: 2 years on 60 processors 1990 control (300yr), 2xCO2 (600yr),4xCO2 (600yr) Delworth et al., Wittenberg et al., Merryfield et al., Joseph & Nigam (JC 2006), Wittenberg (GRL 2009) Zhang et al. (MWR 2007); van Oldenborgh et al. (OS 2005); Guilyardi (CD 2006); Reichler & Kim (BAMS 2008) Kug et al. (JC 2010), Vecchi & Wittenberg (WIREsCC 2010), Collins et al. (Nature Geosci. 2010)
What sort of ENSO do we simulate? strong, skewed, long period, eastward propagating (1980s & late 1990s) weak, biennial, “Modoki” (early 1990s & 2000s) regular & westward propagating (1960s & 70s) These are from a single run with unchanging forcings.
20 centuries of simulated NINO3 SSTs annual means & 20yr low-pass Wittenberg (GRL 2009)
Modulation of NINO3 SST power spectrum (e.g. satellites, TAO) (e.g. reconst SST) 2000yr mean Wittenberg (GRL 2009)
CM2.1 mean state hardly differs between active/inactive ENSO centuries
How predictable are decades of extreme ENSO? NINO3 SSTA Will forecasts track the control? Tiny perturbation: +0.0001C at one gridcell (equator, 180W, top 10m) Will forecasts capture anything at all? Will forecasts capture the intensity of the epoch? Will forecasts capture events, if not their timing? Will forecast ensembles differ between epochs? °C °C
“Perfect” ensemble reforecasts Some members resemble the control. (forecasts with minimum NINO3 SST RMS error over each decade) °C °C
“Perfect” ensemble reforecasts Other members look nothing like the control. (forecasts with maximum NINO3 SST RMS error over each decade) °C °C
“Perfect” ensemble reforecasts These are what perfect forecasts look like! (perfect model, near-perfect initial conditions, 40 members) °C °C
“Perfect” ensemble reforecasts Summarize the ensemble PDF with quartiles. 25th and 75th percentiles of NINO3 SSTA, from 40 members °C °C
“Perfect” ensemble reforecasts Quartiles “forget” initialization after a few years. gray: 95%-bands for control quartiles, from 5000 resampled 40-ensembles °C °C
“Perfect” ensemble reforecasts Ensemble spread 40-member interquartile range (IQR), with 95%-band from control °C °C
Decadal statistics of ENSO Can we predict the epoch-mean amplitude? Absolute value of NINO3 SSTA (degC) °C °C
Decadal statistics of ENSO Smoothed measure of ENSO activity NINO3 SSTA amplitude, smoothed with 4yr running mean °C °C
Decadal statistics of ENSO Ensemble forecasts of ENSO activity smoothed NINO3 SSTA amplitude from 40 members °C °C
Decadal statistics of ENSO Activity distributions also “forget” the ICs {10,50,90}-percentiles of smoothed amplitude, with 95%-bands from control °C °C
consistent with Poisson Long-term memory? Distribution of inter-event wait times suggests that NINO3 SSTA might have some memory beyond 5 years. 10% >15yr median 6yr But beyond 10 years? 3822yr / 495 events = 7.7yr mean wait 5-year wait most common Even a purely memoryless ENSO would give occasional waits of 20 years or more, as seen in CM2.1. recharge delay Wittenberg (GRL 2009)
weak EN, 3yr after strong EN strong EN, 4yr after weak EN ENSO events and their nearest neighbors strong events more isolated
Best hope for long-term ENSO predictability? NINO3 memory might last 5yr, following strong warm events.
Best hope for long-term ENSO predictability? NINO3 memory might last 5yr, following strong warm events.
Future ENSO amplification Width of wind stress response Can we extrapolate ENSO projections to reality? ? The “most realistic” pre-industrial ENSOs show amplification at 2xCO2 CM2.1 CM2.0 Merryfield (JC 2006) Vecchi & Wittenberg (WIREsCC 2010) weak ENSOs
Summary 1. CMIP3/AR4 projections were ambiguous for ENSO: a. Diverse responses to anthropogenic forcings b. ENSO modulation in models, historical/paleo records 2. 4000-year run of pre-industrial CM2.1: a. Strong intrinsic modulation of ENSO b. Extreme ENSO centuries: not due to climate shifts c. Extreme ENSO decades: - Multidecadal lulls consistent with memoryless ENSO - ENSO memory up to 5 years after strong warm events - After that, even perfect forecasts don't beat a memoryless PDF 3. With long enough ENSO records, we can still detect: a. Model biases & sensitivities to some parameters/forcings b. CO2 impacts (barely detectable with 100yr record) c. CO2 optimum for ENSO - A source of disparate model sensitivities? - How close is the optimum, and which side are we on?
Projecting ENSO risks for the coming decades 1. What is ENSO capable of on its own? - long runs, large ensembles - historical/paleo reanalyses, pseudoproxies - impacts of extreme events 2. Improve models, understand & convey their uncertainties - metrics: robust, grounded in theory (ICMs), community-wide - AR5: new feedbacks, better resolution/physics -> different projections? 3. Understand ENSO's sensitivities - primary controls, feedbacks & nonlinearities - diverse tests: forecasts, volcanoes, paleo, idealized - model diversity + physical understanding -> extrapolation to reality 4. Decadal forecasts - does precise initialization matter for ENSO? - intrinsic modulation may dominate ENSO behavior over our lifetimes
Last Glacial Maximum (20ka) tropical SST cools 3°C TC deeper & more diffuse
Mid-Holocene (6ka) perihelion shifts from Jan -> Oct; less SH seasonality seasonal/ENSO confounding in paleo proxies?
Spectrum of NINO3 SST Wittenberg (GRL 2009)
CM2.1 ENSO peaks vs. calendar month abs(NINO3) > 1 stddev warm events are stronger & rarer than cold events strong warm events peak in SON less phase-locking of cold events & weak warm events
CM2.1 mean state hardly differs between active/inactive ENSO centuries 100yr-mean SST & trades are robust diagnostics for CM2.1
Inactive centuries have slightly warmer water in the west Pacific
Active/inactive centuries show no systematic difference in the scaled anomaly patterns
Active/inactive centuries show no systematic difference in the scaled anomaly patterns
Warm pool intraseasonals are slightly more variable during active-ENSO centuries
Two extreme epochs Activity spread 40-member IQR of 4yr-smoothed amplitude, with 95%-band from control °C °C