arctic dipole anomaly da drove the record lows in the arctic sea ice extent
Download
Skip this Video
Download Presentation
Arctic Dipole Anomaly (DA) Drove the Record Lows in the Arctic Sea Ice Extent

Loading in 2 Seconds...

play fullscreen
1 / 29

Arctic Dipole Anomaly (DA) Drove the Record Lows in the Arctic Sea Ice Extent - PowerPoint PPT Presentation


  • 167 Views
  • Uploaded on

Arctic Dipole Anomaly (DA) Drove the Record Lows in the Arctic Sea Ice Extent. Jia Wang ( [email protected]) NOAA Great Lakes Environmental Research Lab, Ann Arbor, Michigan Jinlun Zhang (1) , Eiji Watanabe (2), Kohei Mizobata (3), John Walsh (2), and, Xuezhi Bai (4), and Moto Ikeda (5)

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Arctic Dipole Anomaly (DA) Drove the Record Lows in the Arctic Sea Ice Extent' - nayda-landry


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
arctic dipole anomaly da drove the record lows in the arctic sea ice extent

Arctic Dipole Anomaly (DA) Drove the Record Lows in the Arctic Sea Ice Extent

  • Jia Wang ([email protected])
  • NOAA Great Lakes Environmental Research Lab, Ann Arbor, Michigan
  • Jinlun Zhang (1) , Eiji Watanabe (2), Kohei Mizobata (3), John Walsh (2), and, Xuezhi Bai (4), and Moto Ikeda (5)
  • APL, Univ. of Washington, WA USA
  • IARC, UAF, AK USA
  • Tokyo Univ. of Marine Science and Tech., Japan
  • University of Michigan, Cooperative Institute of Limnology and Ecosystems Research (CILER)
  • Hokkaido University, Japan
  • Arctic Modeling Group:
  • http://www.frontier.iarc.uaf.edu/~jwang/main.html
outline
Outline
  • Introduction/motivation (brief)
  • Data and methodology
  • What is DA, NCEP vs. GCM
  • DA impacts on sea ice: Regional CIOM
  • Summer DA2007 summer record low ever ice extent (similar to 2008 summer)
  • Conclusions
slide3
Min ice cover ever on Sep 24, 2007

http://www.ijis.iarc.uaf.edu/cgi-bin/

seaice-monitor.cgi?lang=j

1. Introduction: Sea ice minimums in the western Arctic Ocean off the Coast of Alaska: 2002-2005, and 2007 (record low)!
slide4
No correlation between the sea ice export in Fram Strait and AO (Vinje 2001; Hilmer and Jung 1999);Sea ice flux vs. SLP difference across Fram Strait (Kwok and Rothrock 1999);
questions
Questions:

1) Is the AO/NAO the only dominant mode driving the Arctic ice-ocean system?

2) Are both Arctic sea ice circulation and sea ice export (sea ice thinning) only related to the AO (in a sense of cyclonic or anti-cyclonic anomaly)?

3) During neutral/negative AO phase (after year 2000), why sea ice set record lows one after one in the western Arctic, leading to a record minimum in September 2007!?

slide6
One regime with

max. ice export

in coupled climate

model

History of DA:1) Skeie (2000): BO; 2) Holland (2003); 3) Goose et al. 2003; 4) Semenov and Bengttson (2003)0) Wang et al. (1995)—Internal report of CCGCR of McGill

EOF2 of Wang et al. (1995)

Unpublished/internal report

Ice export regresses to SLP in CCM2, Holland (2003)

BO: EOF2, Skeie (2000)

2 data and methods
2. Data and Methods
  • Atmosphere: NCEP/NCAR Reanalysis, 1948-2007
  • SIC: Conventional (1901-Sep. 1978; Walsh and Chapman 1990), and SMMR/SSMI (NASA, Oct. 1978-2008; Parkinson 1989), 1x1 degree grid, Arctic Ocean and subpolar regions, 1901-2007
  • Sea ice drift: IABP Dataset,1979-2002
data and methods cont
Data and Methods (cont.)
  • EOF analysis
  • Climatology/anomaly
  • Composite analysis and T/F-test
  • Correlation analysis/regression, & Monte Carlo simulation
  • Case study
  • Modeling:

1) Japan CCSR/NIES/FRCGC global GCM: 1900-2010

2) Regional Coupled Ice-Ocean Model (CIOM) in the pan Arctic and North Atlantic Ocean (Wang et al. 2002, 2005), and Bering/Beaufort/Chukchi seas (Wang et al. 2008)

slide10
What is DA? Second mode of SLP of the Arctic Ocean (from 70-90N) Wu, Wang, Walsh (2006, J. Climate); Watanabe, Wang, Hasumi, Sumi (2006, GRL);Maslanik et al. (2007, GRL)

+DA

-AO

+AO

High

Low

Low

-DA

TDS

regression maps of ao and da using gcm k1 and ncep
K1

NCEP

59%

63%

EOF 1st mode

- Annular structure

- In the positive AO phase

high : Arctic region

low : Mid-latitude

Each mode is independent

by test of North et al. (1982)

K1

19%

NCEP

14%

EOF 2nd mode

- Dipole structure

- In the positive DA phase

high : Greenland Sea

low : Laptev Sea

Regression maps of AO and DA using GCM (K1) and NCEP

Regressed winter mean SLP anomalies to each EOF mode (NCEP) [hPa]

gcm s ao da composite anomalies of sea ice thickness and velocity
GCM’s AO/DA composite anomalies of sea ice thickness and velocity

Difference of sea ice thickness (cm) and velocity (cm/s)

between the positive and negative phases

(AO +) – (AO -)

(DA +) – (DA -)

Circulation shows cyclonic anomaly.

Thickness difference is not significant.

Circulation shows meridional anomaly.

Thickness difference is significant.

slide13
IABP sea ice velocity regressed

to EOF1 (AO, upper) and EOF2

(DA, lower)

slide14
Fram Strait ice volume transport vs. DA (r=.33) and AO (r=.04)

EOF1 (AO)

Sea ice volume flux

EOF2 (dipole)

5 summer da and sea ice minima 1995 1999 2002 2005 2007 and 2008 wang et al 2009 grl in press

5. Summer DA and sea ice minima:1995, 1999, 2002, 2005, 2007, and 2008 (Wang et al. 2009, GRL, in press)

slide16
Record lows:

1995,

1999,

2002,

2005,

2007,

2008 (not record low,

but 2nd lowest ever!)

a)

+DA

b)

b)

slide17
62%

EOF1

13%

EOF2

DA

+

+AO

-AO

-DA

a)

b)

DJF

DJF

EOF1

EOF2

50%

16 %

-DA

+AO

+DA

-AO

c)

d)

JJA

JJA

e) Winter

f) Summer

slide18
2007: NCEP/NCAR SLP and surface wind anomaly

Summer 2007 falls in state: -AO/+DA

+DA

+DA

SLP anomaly was a DA-dominated two-center structure, and the wind anomaly was meridional, blowing from the western to the eastern Arctic This DA-induced wind anomaly was responsible for the 2007 summer minimum

+DA

+DA

slide19
DA predicts record lows: 1995, 2002, 2007, and 2008 (+DA persists from W/S-S); 1999 and 2005 (-DA in W/S, but +DA in summer). So, summer DA is the key!

Since 1995, AO was near neutral and negative, while the DA was active.

Record low years: 1995, 2002, 2007 and 2008) in first quadrant with +DA persistent from winter-spring to summer. In 1999 and 2005, strong summer +DA contributed to the ice minimum.

Scatter plot with summer DA as x-axis and winter-spring DA as y-axis

heat flux increased along bering strait mizobata et al submitted
Heat flux increased along Bering Strait (Mizobata et al., submitted)

Heat Flux was calculated using in situ observation and Satellite SST

slide21
Heat Flux via Bering Strait in TW

2004

2007

2006

2005

2003

2000

2001

2002

Summer DA Index

Relation between Bering strait heat flux and summer DA index

Fig. 3b

The +DA strengthened inflow of the warm Pacific water since 2000s

slide22
b)

a)

Wind Anomaly in m/s

+DA

+DA

c)

SLP and wind anomalies in Aug 2007 (Left) and 2008 (right)

Fig. 4

slide23
Arctic Sea Ice

National Snow and Ice Data Center

http://nsidc.org/arcticseaicenews/index.html

  • 2nd smallest ice pack on record
  • Large reduction in multi-year ice
  • Most of ice pack is thin first year ice susceptible to melting
slide24
Zhang’s PIOMAS-simulated sea ice motion&advection anomaly

Zhang Simulated the sea ice and circulation for 1978-2008 under daily forcing.

Courtesy of

Jinlun Zhang,

APL/UW

Ice advection = ice mass convergence:

One of every 36 ice velocity vectors plotted.

slide25
Zhang’s PIOMAS-simulated sea ice production anomaly in 2007

Min ice cover ever on Sep 24, 2007

http://www.ijis.iarc.uaf.edu/cgi-bin/

seaice-monitor.cgi?lang=j

Courtesy of

Jinlun Zhang,

APL/UW

slide26
Comparison between the PIOMAS-simulated and SSM/I-observed ice extends for the period 1978-2008

Simulated compares well against the obs. The correlation is 0.93 in Sep. and 0.92 in Jan-Sep mean. The model reproduces summer ice minima in 1995, 2002, 2005, 2007 and 2008 as well, not for 1999

6 conclusions
6. Conclusions
  • DA is the second dominant mode in the central Arctic (local). Its dynamic impact is more important than the AO, while the local thermodynamic effect is also important, reflecting the feedback of the local ice anomaly to the atmosphere (Wu et al. 2006; Watanabe et al. 2006)
  • DA-related wind anomaly is meridional:

+DAWind anomaly blows from Pacific Arctic to Atlantic Arctic, enhancing TDS, sucking more Pacific Water inflow, driving away and melting more sea ice in Pacific Arctic (Woodgate et al. 2005; Shimada et al. 2006)

-DAWind anomaly blows from Atlantic Arctic to Pacific Arctic, weakening TDS, blocking Pacific Water inflow, detaining more ice in the Pacific Arctic

conclusions cont
Conclusions (cont.)
  • Summer sea ice minima in the 2000s, in particular 2007 summer (Zhang), was due to +DA (Wu et al., Watanabe et al. 2006; Wang et al. 2009), while AO was in its negative phase (Overland and Wang 2005; Maslanik et al. 2007)!
  • DA has two impacts on sea ice of Pacific Arctic:

-- Direct (short-term, seasonal): driving sea ice and enhancing TDS, +SAT/SST, local ice/ocean albedo feedback (Wang et al. 2005)

-- Indirect (long-term, interannual): sucking in more warm Pacific Water inflow, +SAT/SST, melting more sea ice, enhancing local ice/ocean albedo feedback

slide29
Thank you!
  • Acknowledgements: Supports from
  • NOAA
  • NSF
ad