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On the factors controlling the<br />

surface temperature<br />

and 2-m 2 m air temperature<br />

over the Arctic sea ice in winter<br />

Roberta Pirazzini 1,2 and Timo Vihma 1<br />

1<br />

Finnish Institute of Marine Research<br />

2<br />

University of Helsinki, Finland<br />

Photo: NASA


Which factors control the surface temperature (T S ) and<br />

2-m m air temperature (T 2m ) over sea ice in winter?<br />

1. Lateral advection of heat from lower latitudes;<br />

2. turbulent exchange with the surface and the inversion layer capping the ABL;<br />

3. radiative fluxes.<br />

T S<br />

and T 2m<br />

are are strongly coupled through the sensible heat flux<br />

but<br />

T S<br />

is more directly affected by radiative fluxes than T 2m<br />

.<br />

T 2m<br />

is directly affected by lateral heat advection.<br />

Objective of this study:<br />

To study the relative importance of the factors responsible for the observed<br />

synoptic-scale temperature variations over the Arctic sea ice in winter


• Winter<br />

cyclon tracks<br />

• Adapted from<br />

Serreze and Barry,<br />

1988.<br />

Photo: Bruce Ramsay


Data<br />

→ From the Russian Ice Stations:<br />

NP-27 (winter 1986-1987)<br />

NP-28 (winters 1986-1987 and 1987-1988)<br />

NP-29 (winter 1987-1988)<br />

NP-30 (winters 1987-1988 and 1989-1990)<br />

we utilised synoptic data (3 hour intervals):<br />

– surface temperature (T S<br />

),<br />

– 2-m air temperature (T 2m<br />

),<br />

– cloud cover (total and low clouds),<br />

– wind speed<br />

– wind direction<br />

– surface pressure<br />

→ From ECMWF re-analyses, ERA-15 (resolution of 1.125° x 1.125°,<br />

pressure levels from 1000 to 600 hPa)<br />

– We calculated the lateral heat advection at the site of each Ice Station once per<br />

day (at 00 UTC).


Methods applied<br />

• We classify the data into various cases, following Walsh and Chapman<br />

(1998):<br />

cloudy skies (N > 7/10) and clear skies (N < 4)<br />

strong winds (so that 33% of cases exceed a high speed threshold)<br />

and weak wind (so that 33% of cases were below a low speed threshold)<br />

• In addition, we study the heat advection. To focus on the direct effect of it,<br />

we analyse the heat advection at 1000 hPa level.<br />

warm advection (so that 33% of cases exceed a warm threshold)<br />

and cold advection (so that 33% of cases were below a cold threshold)<br />

• To simplify the analyses, we study the potential temperature instead of the<br />

temperature<br />

• We study in more detail some single episodes of warm advection.


Monthly mean surface potential temperature θ s (thick lines)<br />

and 2-m 2 m air potential temperature θ 2m (thin lines)<br />

• Strong coupling between surface<br />

and 2-m air potential temperature.<br />

3h change → controlled by cloud<br />

cover and advection<br />

24h change → controlled by<br />

advection<br />

Magnitude → controlled by cloud<br />

cover and wind speed


Monthly mean surface - air<br />

potential temperature difference<br />

θ s - θ 2m<br />

• Cloud fraction is the most important factor.<br />

• In March, θ s<br />

- θ 2m<br />

increases and neither the effects of cloud cover, advection<br />

nor wind speed make much difference.


Monthly mean (a) 2-m 2 m air potential temperature and (b) surface - air<br />

potential temperature difference for:<br />

- warm advection (red) - cold advection (blue)<br />

- cloudy skies (solid lines) - clear skies (dashed lines)<br />

- strong winds (thick lines)<br />

- weak winds (thin lines)<br />

• θ 2m : - clear skies + weak winds →θ 2m ~ - 40ºC<br />

- clear skies + strong winds →θ 2m increases ~ 5ºC<br />

- cloudy skies + weak winds →θ 2m increases ~ 5-9ºC<br />

- cloudy skies + strong winds →θ 2m increases ~ 10-20ºC<br />

- to reach the warmest temperatures, also warm advection<br />

is required<br />

• θ s - θ 2m : - cloud fraction is more important than wind speed


6.0<br />

5.0<br />

Temperature advection ( o C/3h)<br />

4.0<br />

3.0<br />

2.0<br />

1.0<br />

0.0<br />

-1.0<br />

-2.0<br />

-3.0<br />

01/01/87<br />

31/12/86<br />

6.0<br />

Temperature advection ( o C/3hours)<br />

5.0<br />

4.0<br />

3.0<br />

2.0<br />

1.0<br />

0.0<br />

-1.0<br />

-2.0<br />

-3.0<br />

01/01/87<br />

31/12/86<br />

Case studies: warm advection episodes in December 1986<br />

Case studies: warm advection episodes in December 1986<br />

(a) 3 to 4 December (b) 6 to 9 December<br />

(c) 11to 16 December (d) 23 to 26 December<br />

0<br />

NP-27<br />

a) b)<br />

-5<br />

-10<br />

-15<br />

-20<br />

-25<br />

-30<br />

-35<br />

-40<br />

-45<br />

-50<br />

-55<br />

-60<br />

0<br />

-5<br />

-10<br />

-15<br />

-20<br />

-25<br />

-30<br />

-35<br />

-40<br />

-45<br />

NP-28<br />

-50<br />

-55<br />

-60<br />

01/12/86<br />

02/12/86<br />

03/12/86<br />

04/12/86<br />

05/12/86<br />

06/12/86<br />

07/12/86<br />

08/12/86<br />

09/12/86<br />

10/12/86<br />

11/12/86<br />

12/12/86<br />

13/12/86<br />

14/12/86<br />

15/12/86<br />

16/12/86<br />

17/12/86<br />

18/12/86<br />

19/12/86<br />

20/12/86<br />

21/12/86<br />

22/12/86<br />

23/12/86<br />

24/12/86<br />

25/12/86<br />

26/12/86<br />

27/12/86<br />

28/12/86<br />

29/12/86<br />

30/12/86<br />

Air temperature ( o C)<br />

01/12/86<br />

02/12/86<br />

03/12/86<br />

04/12/86<br />

05/12/86<br />

06/12/86<br />

07/12/86<br />

08/12/86<br />

09/12/86<br />

10/12/86<br />

11/12/86<br />

12/12/86<br />

13/12/86<br />

14/12/86<br />

15/12/86<br />

16/12/86<br />

17/12/86<br />

18/12/86<br />

19/12/86<br />

20/12/86<br />

21/12/86<br />

22/12/86<br />

23/12/86<br />

24/12/86<br />

25/12/86<br />

26/12/86<br />

27/12/86<br />

28/12/86<br />

29/12/86<br />

30/12/86<br />

Air temperature ( o C)<br />

NP-27<br />

NP-28<br />

NP-27<br />

NP-28<br />

a)<br />

Ta (oC)<br />

Advection > 0<br />

Advection < 0<br />

Tair (oC)<br />

Advection > 0<br />

Advection < 0<br />

c)<br />

NP-27<br />

NP-28<br />

d)<br />

NP-27<br />

b)<br />

NP-28<br />

Slp from ECMWF re-analysis (ERA-15)


Acknowledgments<br />

• Russian scientists who collected the data<br />

• ECMWF<br />

• Finnish Cultural Foundation<br />

Photo: NASA

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