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The Polar Marine Climate Revisited by Thomas J. Ballinger 1 , Thomas W. Schmidlin 1 , Daniel F. Steinhoff 2 1 Department of Geography, Kent State University, Kent, Ohio 44242 2 Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO 80307 Planned Submission to Journal of Climate or Journal of Applied Meteorology and Climatology May 2012

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Page 1: Web viewHe used data from about 20 weather stations on islands ... the southern Bering Sea and Aleutian Islands in the North Pacific ... Other characteristics

The Polar Marine Climate Revisited

by

Thomas J. Ballinger1, Thomas W. Schmidlin1, Daniel F. Steinhoff2

1Department of Geography, Kent State University, Kent, Ohio 44242

2Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO

80307

Planned Submission to Journal of Climate or Journal of Applied Meteorology and Climatology

May 2012

Daniel Steinhoff, 04/15/12,
I like the title
Daniel Steinhoff, 04/15/12,
A couple general things: If we’re submitting to AMS, they have a MS Word template on their website. Helps with the title page and other formatting. Add page numbers, on bottom of pages.
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Abstract

As an additional classification to Köppen’s Climate Classification for polar (E) climates,

the Polar Marine (EM) climate was presented nearly five decades ago and is revisited in this

paper. The EM climate was traced to the North Atlantic, North Pacific and Southern Polar

Ocean and recognized as fairly wet, cloudy and windy especially in the respective winter

seasons. Moreover tThese areas are encompassed by coldest monthly mean temperatures of -

6.7°C (20°F) and warmest monthly mean temperatures of 10°C (50°F). Since the initial analysis

was performed, data availability has improved, and climate variability and change over polar

regions are better understood. Here we use three global reanalyses (ERAra-Interim, CFSR and

JRA-25) to produce a modern depiction of EM climate and before selecting Era-Interim to map

additional EM features. General agreement is found between original and new EM boundaries.

The poleward boundary is approximated by the climatological coldest-month sea ice maximum

and the equatorward boundary is approximated by warmest-month SSTs. Additional variables

are analyzed to gain a better understanding of regional mechanisms that also play a role in

formulating these boundaries. Interannual variability reveals Nnorthern Hhemisphere (Ssouthern

Hhemisphere) high/low EM area years during 1985/2003 (1986/1983) with a general decline in

EM area strongly influenced by northern hemisphere trends ofand summer SST anomalies.

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1. Introduction

The Köppen Climate Classification system defines polar climates as those regions where

the mean temperature of the warmest month is below 10oC. Köppen further divided the polar

climates into Polar Tundra (ET) where the warmest month was above 0oC but below 10oC and

Polar Ice Cap (EF) in which the warmest month was below 0oC. The upper limit of 10oC for the

warmest month corresponds roughly with the poleward limit of tree growth. The warmest month

limit of 0oC corresponds roughly with the equatorward limit of permanent snow and ice on land

(Rohli and Vega 2011).

Shear (1964) suggested that the Polar Tundra climate be further divided into the Polar

Marine (EM) climate, in which the mean temperature of the coldest month is above -6.7oC

(20oF), and the remaining Polar Tundra (ET) in which the coldest month is below -6.7oC. Shear

chose 20oF as the lower limit of coldest month in the EM climate to limit its occurrence to

marine environments. Shear expected that the poleward margins of the EM climate would

coincide with the maximum winter extent of pack ice as the pack ice boundary is the seasonal

projection of the pseudocontinent whose role in terms of energy exchange processes is more like

snow-covered land than open water. He used data from about 20 weather stations on islands or

continental coasts and various marine climate atlases from the early 20th century to define the

EM regions. He noted that an absence of data in many polar regions made the location of

boundaries difficult to determine.

Based on the data available in the early and mid-twentieth century, Shear (1964)

identified three primary regions with EM climate – (a) the southern Bering Sea and Aleutian

Islands in the North Pacific, (b) a southwest-to-northeast trending region in the North Atlantic

from south of Greenland through the Denmark Strait across much of Iceland and to the Barents

Daniel Steinhoff, 04/15/12,
Based on the layout of Figure 1, you should reverse (a) and (b) in the text here.
Daniel Steinhoff, 04/15/12,
I know this is well-known, but if there is a good textbook reference to use that would be nice.
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Sea north of Norway and the Kola Peninsula, and (c) a circumpolar zone in the Antarcticover the

Southern Ocean and sub-Antarctic islands between roughly 49oS and 60oS (Fig. 1).

Polar marine climates may exist at high elevations outside of the polar regions, as noted

by Shear (1964). Mark et al. (2000) reported on a short temperature record above treeline in the

Southern Alps of New Zealand (44oS). Mean temperatures of the warmest and coldest months

were 8.9oC and -1.4oC, respectively, at 1600 m and 6.4oC and -4.8oC at 2000m elevation.

Noguchi et al. (1987) reported the highest summits on the tropical island of Hawaii (~19oN),

Mauna Loa (4169 m) and Mauna Kea (4205 m), have a mean temperature of the warmest month

between 0oC and 10oC with the coldest month warmer than -6.7oC and placed them in Shear’s

polar marine climate type.

Other characteristics of the EM climate, as described by Shear, distinguish the EM

climate from the continental ET climate. The EM climate is wetter than ET, has a winter

precipitation maximum rather than a summer maximum, a larger proportion of the annual

precipitation falls as rain, and there are more days of precipitation. The EM climate also has

greater storm frequency, more cloud cover, and stronger winds than the ET climate.

The EM climate classification has been incorporated into some text books and

descriptions of regional climates. Christopherson (2009) described the Köppen EM Polar Marine

climate as having all months above -7oC and the warmest month 0o to 10oC. Oliver and Hidore

(2002) described the EM climate in the Köppen system as a “Polar Wet” climate with mean

monthly summer temperature up to 10oC and winter means between -6.7oC and 0oC. Stern et al.

(2000) proposed several modifications to Koppen’s climate classification for application in

Australia, including a polar maritime subdivision reflecting the climate of the sub-Antarctic

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islands. They do not cite Shear and imply a minimum temperature of the coldest month of -3oC

for their polar maritime climate.

These EM domains have experienced varying degrees of warming temperatures over

time. Warming trends have been especially robust in the Arctic where observations have shown

terrestrial low Arctic (64-70°N) positive annual temperature trends +0.38°C dec-1 from 1970-

2008 (Chylek et al. 2009), while land temperature trends over lands north of 60°N have been

estimated at nearly +0.64°C from 1979-2008, indicative of an amplified warming signal

(Bekryaev et al. 2010). The Arctic marginal seas SSTs likewise rose from 1965-1995, however

during roughly the last two decades have notably increased, especially in the Western Arctic

(Steele et al. 2008). These ocean/atmosphere warming trends have coincided with recent, rapid

deteriorating sea ice extent and thickness (Maslanik et al. 2007; Kwok and Rothrock, 2009).

This has led to anomalous upward latent and sensible heat flux during late fall and winter and

warmed the lower troposphere (Serreze et al. 2009; Kumar et al 2010; Screen and Simmonds,

2010), not to mention delayed refreeze and promoted earlier melt onset (Markus et al., 2009) and

decreased March maximum ice cover (Nghiem et al. 2007).

There is much less consensus on southern hemisphere warming as temperature trends are

spatially and temporally variable. Monaghan et al (2008) found statistically insignificant

positive temperature trends over most of Antarctica during most months from 1960-2005 only to

find weak, negative temperature trends 1970-2005. However, the widespread negative summer

and autumn temperature trends during the latter period show a positive signal over 1992-2005

(Monaghan et al. 2008). Walsh and Chapman (2007) found warming trends over 60-90°S during

all seasons from 1958-2002, especially winter (0.172°C decade-1), most pronounced over the

Antarctic Peninsula. Steig et al. (2009) constructed a 50-year climatology (1957-2006) that

Daniel Steinhoff, 04/15/12,
What do you mean by “low” – lower latitude? If so I would just use the latitude range instead.
Daniel Steinhoff, 04/16/12,
This paragraph contains ancillary information…could be condensed and merged in with the general EM description above, or omitted.
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revealed significant annual warming (0.18°C decade-1) over West Antarctica, largely focused on

winter and spring seasons. Moreover, these authors found substantial increases in annual

temperatures over this area 1979-2003 coincided with declines in sea ice fraction upwards of

20% in the adjacent western Weddell, Amundsen and Bellingshausen Seas (their Fig. 4).

Schneider et al. (2012) also found robust warming over the region during spring, largely forced

by atmospheric and SST factors, that also coincided with noticeable Amundsen and

Bellingshausen sea ice declines. Similar to temperature trends, sea ice is highly variable in the

Antarctic. Studies of Antarctic sea ice cover have shown a slight positive annual trend during

the past couple decades (Cavalieri et al. 2003), estimated at nearly 1% increase per decade from

1979-2006 (Cavalieri and Parkinson 2008). More recently, Parkinson and Cavalieri (2012)

found that sea ice area has been increasing at a rate of 17100±2300 km2 yr-1 from 1979-2010

with notable gains in the Ross Sea outweighing substantial losses in the Bellingshausen and

Amundsen Seas.

EM climates are also strongly influenced by regional atmospheric and oceanic circulation

patterns of variability. North Atlantic climate is largely modulated by the North Atlantic

Oscillation (NAO; van Loon and Rogers 1978) and Arctic Oscillation (AO; Thompson and

Wallace 1998). The positive phase of the NAO teleconnection (manifested by a deepened

Icelandic Low) most frequently occurs during winter, produces increased surface winds that

propagate poleward fluxes of warm air and water through the Fram Strait and Barents Sea

(Karcher et al. 2003; Rogers et al. 2004) and can lead to late winter ice extent declines (Dickson

et al. 2000; their Fig. 13). Perhaps a larger scale contributor than the NAO, the positive AO has

also been linked to interannual Arctic temperature increases and zonal ice transport into the

eastern Arctic (Rigor et al. 2002; Serreze and Barry 2005).

Daniel Steinhoff, 04/15/12,
Most of the references in the SH section deal with Antarctica, which we don’t really look at in this study. Might be worth doing a quick literature search for any papers dealing with climate change over the Southern Ocean (probably not as many as Antarctica, because of Antarctica’s importance for sea level).
Daniel Steinhoff, 04/15/12,
Does this refer to ice concentration or the spatial extent of sea ice?
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The North Pacific underwent a massive climatic shift in the mid-1970s centering around

the Pacific Decadal Oscillation (PDO; Mantua et al. 1997) switch from negative to positive

phase yielded a rise of regional marine and terrestrial temperatures on seasonal and annual scales

as an amplified Aleutian Low prompted an increased southerly windfield, warm air advection

and increased storminess (Hartman and Wendler 2005). Warm water advection poleward and

positive SST anomalies in recent years have also paralleled this event and the decreasing western

Arctic ice cover (Woodgate et al. 2006, 2010).

Southern Ocean climate is largely modulated by ocean-atmosphere interactions between

the zonal, circumpolar pressure anomalies of the Southern Annular Mode (SAM; Thompson and

Wallace 2000) and tropical Pacific ocean-atmosphere feedbacks of El Niño-Southern Oscillation

(ENSO; Mo and Ghil 1987). Since the 1990s, El Niño and negative SAM and La Niña and

positive SAM have been common covarying modes, especially during spring and summer (Fogt

and Bromwich 2006). The latter combination during spring yields negative pressure anomalies

near 90-130°W, northerly winds, earlier sea ice retreat and later advances around the western

Antarctic Peninsula and southern Bellingshausen Sea and westerly winds culminating with later

spring retreat in the western Ross Sea (Stammerjohn et al. 2008).

The purpose of our study is to map and explore the modern EM climate using

contemporary reanalyses to expand Shear’s work over the period of 1979-2010. Global coupled

atmosphere/ocean reanalyses represent the most prudent way to assess the EM climates for

several reasons including the fact that these hindcast climate modelssimulations combine a

multitude of data sets, including weather stations, buoys, aircrafts, rawinsondes, satellites and

other sources, in order to depict atmospheric and oceanic conditions over large, remote areas

where direct observations are lacking and therefore often labeled homogenous with respect to

Daniel Steinhoff, 04/15/12,
See my next comment…I would use this paragraph to motivate the updating of EM climate using the tools we have now.
Tom Ballinger, 04/12/12,
Think we need a better transition from introducing EM climates and their changing/varying nature to this paragraph that lays out our paper??
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time. Reanalysis outputs since 1979 are more reliable due to the fact that model integration of

satellite data has afforded high quality and near global observational coverage (Serreze et al

2009; Serreze and Barrett 2011), especially over the Southern Ocean where there are few insitu

meteorological observations (Bromwich and Fogt 2004). Further sections of the paper are

organized as follows. In Section 2, data and methodology will be addressed. In Section 3, we

compare reanalyses, justify selection of one model reanalysis for comparison with Shear’s

original outputs and forthcoming plots, take a closer look atdetermine the poleward and

equatorward EM boundaries, look at some variables that impact this climate regime, and

examine EM interannual variability over the period of study. Section 4 will assess differences

from Shear’s study and briefly address the possibility of future EM changes.

2. Data and Methodology

Global reanalyses use fixed numerical weather prediction models and data assimilation

schemes to produce gridded fields over time periods suitable for climate research. Reanalyses

are particularly useful over polar regions, providing a coherent representation of weather and

climate where relatively short temporal spans of data records and areas of sparse observations

exist. However, caution must be exercised when using reanalyses to study climate trends, as

output is sensitive to changes of the observing system and how observations are processed

(Bengtsson et al. 2004a,b; Sterl 2004; Thorne and Vose 2010; Screen and Simmonds 2011).

Such changes result in erroneous trends, particularly over Southern Hemisphere polar regions

(e.g., Hines et al. 2000; Marshall and Harangozo 2000; Marshall 2002), limiting the viability of

reanalysis products in these regions to the post-1978 modern satellite era (e.g., Bromwich and

Fogt 2004; Renwick 2004; Trenberth et al. 2005; Bromwich et al. 2007). There are also

Daniel Steinhoff, 04/15/12,
I would actually expand on this, and lay out our reasons for doing this study – how the observational network (mainly satellite observations) have increased since Shear’s work, and how reanalyses are useful for this work. In contrast, I would consider omitting most or all of the discussion on climate variability (NAO, AO, SAM, etc.). I’m not seeing how it relates to our analysis of EM climate. The intro section is a bit long right now, and that seems like the best area to cut.
Tom Ballinger, 04/11/12,
Wonder if we should integrate part of this into first part of data and methodology, leave as is or omit??
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substantial differences between reanalyses, based on different models and parameterizations,

observations, and data assimilation systems (e.g., Bromwich and Fogt 2004; Bromwich et al.

2007; Walsh et al. 2009; Screen and Simmonds 2011; Bromwich et al. 2011). In this study we

use three reanalyes, described below, for the 32-year period from 1979-2010.

The European Centre for Medium-Range Weather Forecasts (ECMWF) “Interim”

Reanalysis (ERA-Interim, Dee et al. 2011) supersedes the ERA-40 reanalysis (Uppala et al.

2005), and improves upon ERA-40 in several regards (see Dee et al. 2011). ERA-Interim uses a

12-hourly 4D-Var data assimilation system, and also uses an automated satellite radiance

variational bias correction scheme (Dee and Uppala 2009). The observational sources for polar

regions are listed in Andersson (2007) and Dee et al. (2011). ERA-Interim features spectral

T255 (~0.7°) horizontal resolution and 60 vertical levels. Output on a regular 512x256 0.7°

Gaussian grid from the National Center for Atmospheric Research Data Support Section (NCAR

DSS) is used in this study.

The National Centers for Environmental Prediction (NCEP) Climate Forecast System

Reanalysis (CFSR, Saha et al. 2010) is a coupled atmosphere-ocean-land surface-sea ice model

that supersedes the NCEP/Department of Energy Atmospheric Model Intercomparison Project 2

reanalysis (Kanamitsu et al. 2002). CFSR uses a 3D-Var gridpoint statistical interpolation (GSI)

data assimilation system (Kleist et al. 2009), and ingests a wide array of satellite observations in

radiance form. The CFSR atmospheric component features spectral T382 (~0.31°) horizontal

resolution with 64 vertical levels. Output on a 720x361 0.5° latitude/longitude grid from the

NCAR DSS is used here.

The Japan Meteorological Agency (JMA) 25-year reanalysis (JRA-25, Onogi et al. 2007)

uses the JMA numerical weather prediction and data assimilation systems. JRA-25 uses a 3D-

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Var data assimilation scheme that ingests satellite radiances and features spectral T106 (~1.125°)

horizontal resolution with 40 vertical levels. Output on a regular 320x160 1.125° Gaussian grid

from the NCAR DSS is used in this study.

The previously described Polar Marine (EM) climate classification from Shear (1964)

was applied to each gridpoint of 2-m temperature from the three reanalyses. The union of the

regions of warmest month mean temperature greater than 32°F but less than 50°F and coldest

month mean temperature greater than 20°F represent EM climate. In addition to 2-m

temperature, precipitation, mean sea-level pressure, sea-surface temperature, sea ice fraction, 10-

m wind, and total cloud fraction are also analyzed to provide a more complete description of EM

climate. While all three reanalyses are used to characterize the spatial distribution of EM area, to

simplify the analysis, we solely use ERA-Interim for the detailed description of EM climate.

ERA-Interim is the only reanalysis to use 4D-Var data assimilation, and it along with its

predecessor ERA-40 compare favorably against other global reanalyses in both the Northern

Hemisphere (e.g., Bromwich and Wang 2005; Bromwich et al. 2007; Walsh et al. 2009; Screen

and Simmonds 2011) and Southern Hemisphere (Bromwich and Fogt 2004; Monaghan et al.

2006; Bromwich et al. 2011; Hodges et al. 2011) high latitudes. The primary findings of this

study are not critically dependent upon which reanalysis is used for detailed analysis.

3. Results

a. Intercomparison of the Reanalyses

Figure 2a shows EM area for all three reanalyses over the Northern Hemisphere. The

area east of Newfoundland extending south of Greenland, across Iceland, and over the

Norwegian and Barents Seas matches well between all three reanalyses. The second area over

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the Bering Sea also shows general agreement, although the JRA-25 and CFSR areas are slightly

larger than ERA-Interim. There are also scattered small EM regions along the southern Alaska

and western Canadian coastlines. Additional small high-altitude mid-latitude regions primarily

show up in CFSR, likely due to the enhanced horizontal resolution compared to the other

reanalyses. The two large-scale EM areas in Figure 2a are along the primary high-latitude storm

tracks (e.g., Hoskins and Hodges 2002), where warm and moist air is advected into these areas

from the south. Notice the eastern offset of EM areas from the Canadian, Greenland, and

Siberian coasts, where continental effects prevent establishment of EM climate until a marine

influence dominates offshore.

Figure 2b shows EM area for the Southern Hemisphere from all three reanalyses. The

Southern Hemisphere contains 90% of global EM climate area. EM area exists over much of the

Southern Ocean, and farther equatorward in the Southern Hemisphere compared to the Northern

Hemisphere. Differences between reanalyses are again small, with CFSR extending slightly

farther south, ERA-Interim extending slightly north, and some discrepancies over southern Chile.

CFSR also identifies EM over southwestern New Zealand. The Southern Hemisphere EM area

generally follows the Southern Hemisphere storm track, which dips poleward from the south

Atlantic eastward to regions south of New Zealand and into the south Pacific. However, the EM

area occurs on the northern edge of the primary circumpolar storm track (e.g., Simmonds et al.

2003; Hoskins and Hodges 2005), where equatorward incursions of Antarctic airmasses allow

for establishment of EM climate in otherwise marine environments.

b. Assessment of the EM Boundaries

Daniel Steinhoff, 04/15/12,
Throughout this section (Fig. 3), the sea ice and SST boundaries are gridpoint-dependent, so will not be a uniform month. I think I sent the breakdown of the corresponding coldest/warmest months by number of gridpoints, if you want to briefly mention which months are primarily used.
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The ERA-Interim EM boundaries are mapped in Figure 3a and 3b along with the winter

sea ice maximum, represented by the 25% ice concentration extent, as the poleward boundary

and the warmest-month SST 10ºC isotherm (month?) as the equatorward boundary. Figure 3a

shows the SST threshold values match the southern EM boundary well in the North Atlantic

from approximately 45ºW northeastward until the northwestern Norwegian coastline at about

15ºE before ending just north of Scandinavia in the Norwegian Sea. The maximum sea ice

extent fit as the poleward EM boundary improves east of Greenland from the Denmark Strait and

Greenland Sea and represents an acceptable border southeast of Svalbard and southwest of

Novaya Zemlya in the Barents Sea. The SST boundaries of the North Pacific (Fig. 3a) almost

encircle the EM and trace the part of the Aleutian Islands with better fit on the eastern periphery

near northern Kuskokwim Bay off the southwestern Alaskan coastline. The sea ice maximum

roughly matches the northern extent of this region’s EM at 60ºN. These regions contrast each

other’s EM latitudinal position as the southernmost North Atlantic EM (~≈55ºN) almost matches

the northernmost EM in the North Pacific.

The Antarctic EM boundaries are also well represented by SST and maximum sea ice as

shown in Figure 3b. The SST boundary (represented by month?) is slightly farther south in the

South Atlantic between 30ºW and 60ºW, but otherwise stays pretty consistent between 40º-60ºS

around the Southern Ocean as it mirrors the equatorward (northern) EM area. The maximum sea

ice poleward (southern) boundary (month?) is generally within 1-2° of the EM climatic extent

roughly between 58°S and 65ºS around the Antarctic continent.

c. EM Climatic Characteristics

Tom Ballinger, 04/11/12,
Should we mention here, elsewhere?
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Shear (1964) argued that the Polar Marine (EM) climate had distinctive characteristics

that distinguished it from the continental Polar Tundra (ET) climate. The mild winter and

smaller annual temperature range were the chief distinguishing features upon which Shear

defined the EM climate. In addition, he noted the EM climate has more precipitation and more

days of precipitation than the ET, the EM climate has a tendency toward a winter maximum of

precipitation instead of a summer maximum, and EM precipitation is dominantly rain. Shear

noted that the EM climate has greater storm frequency, more cloud cover, and stronger winds

than the continental ET. To examine these distinguishing characteristics of the EM climate in

the modern reanalysis data, we present patterns of annual mean sea level pressure, wind speed,

precipitation, and cloud over for the Nnorthern Hhemisphere (Figs 4a-d) and Ssouthern

Hhemisphere (Figs. 5a-d).

The Polar Marine climates of the North Atlantic and North Pacific oceans are clearly

regions of low mean sea level pressure, indicating prevailing tracks of cyclonic storms (Fig. 4a).

The storm frequency in the EM climates is greater than in the northern continental ET climates.

This greater storm frequency should be associated with greater precipitation, wind speed, and

cloud cover. Wind speeds are greater in the EM climates than in the ET climates of the

continents, however even greater wind speeds occur south of the EM climates in the Atlantic and

Pacific (Fig. 4b). The EM climate region northeast of Iceland displays a regional minimum of

wind speed. Annual precipitation is greater in the EM climates than in the continental ET

climates (Fig. 4c). Precipitation is greater in the Atlantic EM climate (600-900 mm east of

Iceland, 900-1200 m west of Iceland) than in the Pacific EM climate (600-900 mm) and in both

ocean basins the precipitation increases southward from the EM climates. Cloud cover is 80-

90% in the EM climates, somewhat higher than over the high latitude continents (Fig. 4d).

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In the southern hemisphere, the lowest mean sea level pressure is on the poleward

margins of the EM climate region (Fig. 5a). There is scant area of ET climate in the southern

hemisphere for comparison. The southern storm track appears to be displaced southward rather

than situated in the core of the EM climate as occurs in the northern EM climates. Mean wind

speeds reach a maximum through the core of the southern EM climate (Fig. 5b) and are stronger

than in the northern EM climates. Southern wWind speeds are strongest in the eastern

hemisphere and reach a peak between 50oE and 100oE. Precipitation is 600-1200 mm in the

southern EM climate and decreases toward the pole (Fig. 5c). The regions of greatest cloud

cover (>90%), like the mean pressure, are on the poleward margins of the southern EM climate

or even south of the EM climate (Fig. 5d). The southern EM climate has 80-90% cloud cover,

similar to the northern EM climate.

As expected and as predicted by Shear, the EM climates are stormy, windy, wet, and

cloudy. Where comparisons can be made in the northern hemisphere, these EM climates are

distinctive from their continental ET counterparts in all of these parameters.

d. Interannual Variability

Figure 6a shows the general downward trend of the EM area (-0.004241 x 1013 m2 yr-1,

significant at 97.1%) from 1979-2010, however the northern and southern hemisphere EM areas

display much different trends. The Northern Hemisphere EM area (Fig. 6b) displays an annual

trend of -0.045746 x 1012 m2 yr-1 (significant at 99%) that solely represents the EM decline,

considering that despiteas the Southern Hemisphere area (Fig. 6c), even being an order of

magnitude higher, displays an insignificant positive trendthe trend is slightly positive (Figure 6c;

0.000333 x 1013 m2 yr-1) and insignificant (22.3%).

Tom Ballinger, 04/11/12,
Keep trends as they are since figs 6a-c show trend to six decimal places?
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The interannual variability of the respective hemispheres is also much different

temporally and spatially. Figures 7a and 7b show the high (1985) and low (2003) EM years for

the northern hemisphere. During 1985, compared to the 32-year climatology, the EM extended a

few degrees farther south into the Labrador Sea and North Atlantic and also slightly farther north

into the Davis Strait. Slight increases are also found just east of Iceland and southeast of

Svalbard. The largest Nnorthern Hhemisphere EM increases are found in the North Pacific

where the EM expands to cover the Aleutians as well as the southern tip of the Kamchatka

peninsula, encroaching into the Sea of Okhotsk. In contrast, 2003 shows EM declines (blue) are

noticeable around both its equatorward and poleward boundaries in the North Atlantic. The

largest declines of this low area year undoubtedly occur in the North Pacific where almost the

entire EM area is lacking with the exception of a sliver at 60°N near the Bering Strait. Southern

hemisphere EM variability during high/low area years is much less distinct (Figs. 7c-d). During

the high EM (1986) there are slight poleward increases near 60°S just west of the Antarctic

Peninsula and Ross Sea and equatorward increases in the South Pacific between 90°W and

150°W. The low EM year (1983) shows a decline in a similar region of the South Pacific that

expressed growth in 1986. All of the maps, regardless of high or low year, show areas of

increase/decline for the respective years.

Behavior of the EM boundaries is one factor controlling these areas. Figure 8a and 8b

show the winter ice cover of the high/low years relative to 1979-2010. The negative anomalies

during 1985 in EM areas are much more pronounced versus the smaller negative anomalies of

2003, especially in the North Pacific, which would indicate that the ice concentration was

anomalously low during that winter allowing the possibility for northward expansion of EM area.

However, the overall lack of EM poleward growth during 1985 would indicate that perhaps

Daniel Steinhoff, 04/15/12,
1985? Explicitly state which year.
Daniel Steinhoff, 04/15/12,
I think you mean SST and sea ice, rephrase to reflect this.
Daniel Steinhoff, 04/15/12,
Not sure what you are stating here…seems vague.
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winter maximum ice extent is not the best controller of this climatic regime during this particular

year. SSTs during summer of 1985 were also slightly lower than average around the

equatorward EM limit (60°N) across most of the North Atlantic and North Pacific, which may

have allowed the EM to expand southward. In contrast, during summer 2003 the same areas

exhibited SSTs up to 3 K warmer, while that winter’s positive sea ice concentration anomalies in

the Barents Sea likely co-contributed to the decreased EM area. As previously mentioned, warm

water advection into both regions has been well documented in recent years, but the role of

higher ice concentrations indicative of heavy ice conditions, as what transpired in the Barents

Sea during winter 2003, is likely also a major contributor to past low EM years.

Southern hemisphere ice cover during high/low EM years (Figs. 9a-b) shows strong

negative anomalies in sea ice concentration in the Ross Sea during 1986 prompted a slight

increase in EM area whereas positive anomalies just west of the Antarctic Peninsula coincided

with the EM declines during 1986 (Fig. 7c). The circum-Antarctic sea ice concentration

anomalies are much less pronounced in 1983 and the equatorward boundary declines cannot be

conclusively tied to sea ice behaviors. On the other hand, the largest EM declines in both

Figures 7c and 7d can be tied to positive SST anomalies typically ≥1 K over those areas. During

1986, a warm SST pocket between 40-60°S and 150°E and the International Dateline is the

likely culprit for a declining EM. Moreover, during the low year of 1983, large EM declines

between 90°W and 150°W (Fig. 7d) match well with general SST warming along the

equatorward Southern Ocean equatorward boundary between 40-60°S.

4. Discussion/Conclusion

Daniel Steinhoff, 04/15/12,
I like both of your ideas here to beef up the discussion/conclusions section. We could relate the changes we expect from our analysis to the projected changes from climate models. A brief discussion (paragraph) on ecological impacts would also be good to give the study some broader impacts.
Tom Ballinger, 04/12/12,
Wonder whether we should cite some SST and sea ice future model projections, over EM-like domains and appropriate seasons, after we address changes to EM compared to those mapped originally by Shear versus just state what we may expect in the future given the results we obtained (as below)?Should we briefly address what impacts these EM changes entail (ecologically, etc) or do without?
Daniel Steinhoff, 04/16/12,
This part is confusing. I see what you are referring to on Fig. 7d, but you imply that 1986 has a small EM when it is the max SH year.
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The modern EM climate regions shown in Figures 3a and 3b are similar in general

locations and shapes to the regions presented by Shear in 1964 (Fig. 1) but differ in some aspects

as would be expected given the different time periods and methods used to develop the maps.

In the North Atlantic, the southern margin of the EM climate depicted by Shear (Fig. 1)

extends from off the coast of Newfoundland at about 53oN, 51oW, northeastward to southern

Iceland, and then northeastward to the North Cape of Norway and ending in the Barents Sea at

72oN, 41oE. The modern EM region (Fig. 3a) has a similar position off the coast of

Newfoundland but extends farther westward into the Labrador Sea than shown by Shear. The

southern boundary is similar to Shear’s across Iceland to North Cape but the modern EM climate

extends farther eastward along the Kola Peninsula and northward into the Barents Sea. The

northern boundary in the modern EM climate (Fig. 3a) is similar to Shear’s around southern

Greenland but extends hundreds of kilometers north of Shear’s northern boundary over the

Greenland Sea to 79oN near Svalbard.

In the North Pacific (Fig. 3a), Shear showed the EM climate in the Bering Sea extending

southward to 50oN across the Aleutian Islands from Umnak Island (167oW) westward beyond

Attu Island (173oE) to the Komandorskyie Islands and ending along the 50th parallel at about

153oE. The EM climate depicted in Fig 3a does not extend as far south or west. It does not

include the Aleutians, except near 180o, and does not extend west of about 172oE. The northern

extent of the EM climate in the Bering Sea depicted by Shear was just south of 60oN from

Kuskokwim Bay westward. Fig 3a shows a similar position in Kuskokwim Bay but the EM

climate extends westward while trending north of 60oN to near 175oE, well north of Shear’s

region along the Russian coast. The modern EM region in the Bering Sea is somewhat smaller

and displaced northward from Shear’s region.

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The poleward (southern) boundary of the EM climate in the southern hemisphere (Fig.

3b) is near 60oS from 30oE to 100oE, where Shear depicts the boundary 2o to 3o north of 60oN.

From 30oE to 40oW, the modern EM boundary is north of 60oS, similar to Shear’s. From the

Antarctic Peninsula (~50oW) westward to 120oE, the modern EM boundary is well south of 60oS

and south of Shear’s southern boundary. The equatorward (northern) boundary of the EM region

is near 50oS in the western hemisphere, but near 45oS elsewhere and this is in general agreement

with Shear’s northern boundary.

EM climates are largely modulated by the boundary parameters, summer SSTs and

winter maximum sea ice extent, laid forth in this study. However, temperature fluctuations and

the response of these environmental variables over time will prompt EM areas to change. Should

summer SSTs warm and winter sea ice extent decline, we would expect the EM area to shift

poleward. However, as we have seen examining high/low EM years, these parameters do not

necessarily behave in tandem (increased SSTs, decreased ice cover). Therefore, an EM climate

shift, versus a change in area, in either hemisphere may not be realistic on interannual or

extended temporal scales moving forward. Continued monitoring of an array of

atmospheric/oceanic variables including warm water flux into the polar regions and the recovery

of sea ice during the winter, especially in the northern hemisphere, is essential to determining the

future of EM climates.

Acknowledgements: The authors would like to thank___. Andrew Monaghan for constructive

comments. NCAR is sponsored by the National Science Foundation and other agencies.

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Figures

FIG 1. The EM climate as depicted by Shear (1964).

Tom Ballinger, 04/08/12,
Photoshop/re-add these figs (with letters a-c)??Also, need permission of Annals AAG publisher (Talyor and Francis - http://www.aag.org/galleries/default-file/ANNALS_COPYRIGHT_611.pdf).
Daniel Steinhoff, 04/15/12,
Rotate the SH map to match the plots we did (180 degrees at top). Would probably be good to add a-c.
Tom Ballinger, 04/11/12,
1) Captions for all figures need work2) Re-add all figures?3) Do we want to create black and white/grayscale figs for print only? – I would vote against, but could save some money
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FIG 2. (a)Overplots of EM area for the Northern Hemisphere (1979-2010) from EraERA-Interim, CFSR and JRA-25 reanalyses, (b) same as (a) but for the Southern Hemisphere.

Daniel Steinhoff, 04/15/12,
I would make this plot as large as possible.
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FIG 3. (a) ERA-Interim EM area (green) from 1979-2010 with warmest month SST (red) and maximum winter 25% sea ice concentrationver (blue) for the Northern Hemisphere, (b) same as

(a) but for the Southern Hemisphere

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FIG 4. ERA-Interim aAnnual plots mean (1979-2010) of (a) MSLP (hPa), (b) 10-m windspeed (m s-1), (c) precipitation (mm yr-1), and (d) cloud cover (%) for the Northern Hemisphere. ERA-

Interim EM area outlined by solid black contours.

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FIG 5. As in Fig. 4, but for the Southern Hemisphere. MSLP not plotted at elevations over 1000 m over Antarctica.

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FIG 6. Time series of ERA-Interim EM (a) total area (Northern and Southern Hemisphere; 1013

m2 yr-1), (b) Northern Hemisphere area (1012 m2 yr-1), and (c) Southern Hemisphere area (1013 m2

yr-1) from 1979-2010. Linear trends and statistical significance shown in bottom left of each plot.

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FIG 7. (a) ERA-Interim rRepresentation of highest EM area year (1985) in the Northern Hemisphere, (b) lowest EM area year (2003) in the Northern Hemisphere, (c) same as (a), but for

Southern Hemisphere (1986), (d) same as (b), but for Southern Hemisphere (1983). Green represents the EM area (1979-2010), red represents additional EM area for that specific year, and

blue represents missing EM area for that year, relative to 1979-2010 monthly average temperatures.

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FIG 8. (a) ERA-Interim mMean winter (DJF) sea ice concentration anomalies for 1985 minus the 1979-2010 climatology in the Northern Hemisphere. ERA-Interim EM area for 1979-2010

average outlined by solid black contours, EM area for 1985 outlined by dashed black contours., (b) same (a), but for 2003. , (c) Mean summer (JJA) SST (K) anomalies for 1985 minus the 1979-2010 climatology in the Northern Hemisphere. ERA-Interim EM area for 1979-2010

average outlined by solid black contours, EM area for 1985 outlined by dashed black contours. , (d) same as (c), but for 2003.

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FIG 9. (a) ERA-Interim mMean winter (JJA) sea ice concentration anomalies for 1986 minus the 1979-2010 climatology in the SNourthern Hemisphere. ERA-Interim EM area for 1979-2010 average outlined by solid black contours, EM area for 1986 outlined by dashed black

contours., (b) same (a), but for 1983. , (c) Mean summer (DJF) SST anomalies for 1986 minus the 1979-2010 climatology in the Southern Hemisphere. ERA-Interim EM area for 1979-2010 average outlined by solid black contours, EM area for 1985 outlined by dashed black contours.,

(d) same as (c), but for 1983.