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W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan , Civil, Environmental, and Architectural Engineering, University of Colorado Christina Hulbe and Scott Waibel, Portland State University, Portland, Oregon Projected Sea Level Extremes and Uncertainties in the 21st Century US CLIVAR/NCAR ASP Researcher Colloquium 14 June 2011 Illulissat, Greenland, 2007 W.T. Pfeffer
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Page 1: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

W.T. PfefferINSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado

with thanks toBalaji Rajagopalan , Civil, Environmental, and Architectural Engineering, University of ColoradoChristina Hulbe and Scott Waibel, Portland State University, Portland, Oregon

Projected Sea Level Extremes and Uncertainties in the 21st Century

US CLIVAR/NCAR ASP Researcher Colloquium14 June 2011

Illulissat, Greenland, 2007 W.T. Pfeffer

Page 2: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Some issues in making projections of future sea level rise (SLR):

•Methods of projection: Deterministic numerical models are virtually the exclusive option being pursued, and they don’t work very well (yet). What are the alternatives?

•Time scales: Planners, policy makers, etc. are primarily concerned with 10-100 year scales. Events of primary interest to glaciologists are extreme events occurring on 100-1000 year scales.

•Uncertainties: Handled extremely casually so far; much more careful and thorough treatment is urgently needed.

End users (policy makers, planners, risk managers, coastal engineers) need information on SLR delivered on decade-by-decade basis as PDFs. We are not there yet.

Page 3: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

IPCC AR4 2007 Sea Level Projection: Less than 1 m, but with caveats concerning ‘dynamics’

0.18 m

0.59 m

Absence of accelerated ice sheet discharge from projections noted in AR4

Page 4: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Components of Sea Level Rise (SLR)

1. Thermal Expansiona.Upper ocean (top 700 m)b.Deep ocean

2. New Water Massa.Antarcticab.Greenlandc.Glaciers and Ice Caps (GIC)d.Other terrestrial storage

3. Relative (local)

a. Dynamics (winds/currents)b. Gravitationalc. Glacio-isostatic rebound (GIA)d. Coastal subsidence

1. Infrastructure loading2. SLR loading3. Upstream sediment trapping4. Groundwater depletion

(very long-term components, e.g. tectonics, are not considered here)

Global

May dominate locally

Page 5: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

from Domingues et al, 2008

Mountain Glaciers and Ice Caps

Greenland and Antarctica

Present day components of SLR

Thermal expansionTerrestrial Storage

Page 6: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Mass Loss 1992-2008from Cazenave and Llovel, Annual Review of Marine Science, 2010

Page 7: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Mass Loss 1992-2008from Cazenave and Llovel, Annual Review of Marine Science, 2010Mass Loss 1992-2008

from Cazenave and Llovel, Annual Review of Marine Science, 2010

Page 8: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Antarctic Range

Greenland Range

Compilation figure courtesy Georg Kaser

Page 9: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

SL budget closes to +0.46 mm yr-1 (16%) for 1993-2007

SL budget closes to -0.05 mm yr-1 (2%) for 2003-2007

from Cazenave and Llovel, 2010

Page 10: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

IPCC AR4 2007 Sea Level Projection, including ‘scaled-up’ projection to approximate effects of dynamics

Future SLR: Projections from IPCC 4th Assessment (AR4, 2007):

Page 11: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

W.T. Pfeffer Institute of Arctic and Alpine ResearchDepartment of Civil, Environmental, and Architectural EngineeringUniversity of Colorado at Boulder

Dynamics: Response to change in mass balance isn’t instantaneous

“Dynamics” always acts in glacier mass balance

Page 12: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

W.T. Pfeffer Institute of Arctic and Alpine ResearchDepartment of Civil, Environmental, and Architectural EngineeringUniversity of Colorado at Boulder

“Dynamics”: Glacier is not operating toward a geometry in equilibriumwith its mass balance environment

“Rapid” or “Disequilibrium” dynamics is the unpredictable part of the glacier/ice sheet component

Page 13: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Page 14: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Rignot and Kanagaratnam (2006) assessment of Greenland Ice Sheet mass loss rate by calving discharge.

Mass loss rate increased from 90 to 220 km3/year between 1996 and 2006.

Rapid Dynamics observed in Greenland in 2006 (included in AR4 discussion)

Page 15: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Moving from AR4 (2007) to AR5 (2014):

Meier et al, Glaciers Dominate 21st Century Sea Level Rise, Science, 2007

1. Project at current rate of change

2. Project at current rate

Projected SLR (mm) to 2100 by Extrapolation

Glaciers and Ice Caps

current acceleration held fixed 240 ± 128current rate held fixed 104 ± 25

Greenlandcurrent acceleration held fixed 245 ± 106

current rate held fixed 47 ± 8

Antarcticacurrent acceleration held fixed 75 ± 50?

current rate held fixed 16 ± 5

Total Globalcurrent acceleration held fixed 560 ± 230?

current rate held fixed 167 ± 44

observations projections

Hedging the hazard of extrapolation by calculating two bracketing cases

Page 16: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Reaction to the rediscovery of rapid dynamics: big sea level rise “forecasts”.

Never published as a definitive statement by the sea level rise community, but taken seriously by designers and policy makers anyway.

Page 17: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Response to hypothesized “2 m from Greenland by 2100”: Is this even possible?

Simple calculations independent of unproven physics suggest global total SLR limited to no more than ~2m by 2100.

Pfeffer et al, Kinematic Constraints on 21st Century Sea Level Rise, Science, 2008

3 Scenarios (SLR in mm)

Page 18: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

For better of worse, extrapolation in various forms has become a widely used tool for estimating land ice contributions to SLR during the next century, despite strong evidence that processes driving land ice mass loss is non-stationary.

If we’re going to do this what uncertainties are involved?

Page 19: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Rignot et al 2011, Greenland mass loss

Page 20: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Rignot et al 2011, Greenland mass loss

Page 21: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Rignot et al 2011, Combined mass loss, Greenland and Antarctica

Page 22: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Rignot et al, 2011

Rignot projected Sea Level Rise to 2050 (cm)

Antarctica & Greenland 15± 2

Glaciers and Ice Caps 8 ± 4 (using Meier et al 2007)

Thermal Expansion 9 ± 3 (using IPCC AR4)

Total Sea Level Rise by 2050

32 ± 5

Page 23: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Year GR SMB GR D GR MBM sigma Year Ant SMB Ant D Ant MBM sigma1992 486.9157292 513.6 -26.7 51 1992 2211.979938 2024.705477 187.2744612 91

1992.083333 576.1356369 513.6 62.5 51 1992.083333 2251.390708 2022.803652 228.5870562 911992.166667 614.2274215 513.7 100.5 51 1992.166667 2275.566092 2020.901826 254.6642665 91

1992.25 657.5924677 513.7 143.9 51 1992.25 2243.5224 2019 224.5224 911992.333333 622.9094215 513.8 109.1 51 1992.333333 2318.072862 2022.49505 295.5778117 911992.416667 629.3014523 513.8 115.5 51 1992.416667 2292.967015 2025.9901 266.9769157 91

1992.5 586.4699446 513.9 72.6 51 1992.5 2342.121231 2029.48515 312.6360813 911992.583333 580.1460369 513.9 66.2 51 1992.583333 2416.979077 2032.980199 383.9988776 911992.666667 582.6904985 514 68.7 51 1992.666667 2439.276 2036.475249 402.8007508 91

1992.75 589.4775138 514 75.4 51 1992.75 2423.887385 2039.970299 383.9170856 911992.833333 592.2298523 514.1 78.1 51 1992.833333 2311.899692 2043.465349 268.4343435 911992.916667 539.5541538 514.1 25.4 51 1992.916667 2336.462769 2046.960399 289.5023705 91

1993 378.9675692 514.2 -135.2 51 1993 2334.194769 2050.455449 283.7393207 911993.083333 396.0796246 514.2 -118.2 51 1993.083333 2316.764308 2053.950498 262.8138093 91

Rignot et al 2011 Data

Page 24: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Projected SLR from Rignot data using GLM methods – Greenland

SLE by 2100:14.2 ± 5.5 cm

Page 25: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Projected SLR from Rignot data using GLM methods – Antarctica1992-2009

SLE by 2100:25.0 ± 16.5 cm

Page 26: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Projected SLR from Rignot data using GLM methods – Antarctica1994-2009

SLE by 2100:11.0 ± 13.0 cm

Effect of dropping first 2 years of 17 year data series

Page 27: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Projected SLR from Rignot data using GLM methods – Antarctica + Greenland

Rignot et al’s projection for Greenland + Antarctica: by 2100: 56 ± 3 cm

Using GLMGreenland + AntarcticaSLE by 2100:

20.7 ± 5.6 cm

Page 28: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Add estimate for Thermal Expansion

Total Global Land Ice (Ice Sheets + Glaciers and Ice Caps) +Thermal Expansion contribution to Sea Level by using GLM:

2100: 40.5 ± 2 cm

Rignot et al projection

2100: 56 ± 5 cm Ice Sheets only

Page 29: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Page 30: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Time

Mas

s Lo

ss R

ate

(<0)

Stationary process: continued accelerationTransitional process: stabilizes at new steady stateTransient process: returns to initial state after period of fast change

Time scale of transitional/transient process

But…

Without getting bogged down down in the deterministic morass, how do time scales of dynamics work? This is a question that could be asked. It has not.

Stationarity

Page 31: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

Treatment of SLR primarily as management of uncertainty(Planners, designers, etc want PDFs, not modeled time series).

Pro

babi

lity

of

Occ

urre

nce

Total SLR by certain date (2100)

1 m? 2 m?

Glaciological community has been mostly locked into investigations of the ‘fat tail’: high-impact/low probability events.

This requires evaluation of all components, not just leading terms

Fat Tails andSkinny Bodies?

Page 32: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

What are the weaknesses in projecting sea level rise?

1. We need an alternative to fully deterministic numerical models.

2. We need better assessments of uncertainty.

3. We need better determination of near-term (decadal) behavior.

4. We need more geographically complete and efficient (faster updating) observational systems.

Page 33: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado

Where’s the Joker?

Page 34: W.T. Pfeffer INSTAAR and Civil, Environmental, and Architectural Engineering, University of Colorado with thanks to Balaji Rajagopalan, Civil, Environmental,

INSTAAR Univ. of Colorado


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