June Arctic Ice Returns to Mean

 

Arctic2021159

A previous post reported that Arctic Sea Ice has persisted this year despite a wavy Polar Vortex this spring, bringing cold down to mid-latitudes, and warming air into Arctic regions.  Now in June, after tracking in deficit the sea ice extent is matching the 14-year average on day 159.  Note that SII (Sea Ice Index) since mid-May has been showing 200 to 400k km2 more ice than MASIE, and currently the two datasets have converged on a value of ~11.25 M km2.

Note that on the 14-year average, during this period ~1.7M km2 of ice extent is lost, which 2021 is matching, as did 2007.  Both 2020 and 2019 were much lower than average at this date, by ~600k and ~700k respectively.  

Why is this important?  All the claims of global climate emergency depend on dangerously higher temperatures, lower sea ice, and rising sea levels.  The lack of additional warming is documented in a post Adios, Global Warming

The lack of acceleration in sea levels along coastlines has been discussed also.  See USCS Warnings of Coastal Floodings

Also, a longer term perspective is informative:

post-glacial_sea_level
The table below shows the distribution of Sea Ice across the Arctic Regions, on average, this year and 2007.

Region 2021159 Day 159 Average 2021-Ave. 2007159 2021-2007
 (0) Northern_Hemisphere 11240999 11259536  -18538  11316498 -75500 
 (1) Beaufort_Sea 1019264 964689  54575  1000434 18830 
 (2) Chukchi_Sea 849650 820007  29642  828275 21375 
 (3) East_Siberian_Sea 1018939 1060847  -41907  1065467 -46528 
 (4) Laptev_Sea 719152 797804  -78652  750975 -31824 
 (5) Kara_Sea 786077 768820  17257  805583 -19506 
 (6) Barents_Sea 253238 260182  -6944  312729 -59491 
 (7) Greenland_Sea 664297 581528  82769  579724 84573 
 (8) Baffin_Bay_Gulf_of_St._Lawrence 755645 803058  -47412  811860 -56215 
 (9) Canadian_Archipelago 802846 802905  -60  783908 18938 
 (10) Hudson_Bay 1022997 1058859  -35862  1027039 -4042 
 (11) Central_Arctic 3233401 3215315  18085  3235047 -1646 
 (12) Bering_Sea 59415 70145  -10729  62751 -3336 
 (13) Baltic_Sea 0 8 -8  0
 (14) Sea_of_Okhotsk 54471 53989  482  51031 3440 

The main deficits are in Laptev and East Siberian Seas, Baffin and Hudson Bays, offset by surpluses in Beaufort, Chukchi and Greenland Seas.

 

Ordinary Arctic Ice Extents in May

Arctic2021151

A previous post reported that Arctic Sea Ice has persisted this year despite a wavy Polar Vortex this spring, bringing cold down to mid-latitudes, and warming air into Arctic regions.  Now in May, the sea ice extent matched the 14-year average on day 144, tracking alongside until month end.  Surprisingly  SII (Sea Ice Index) is showing ~400k km2 more ice, which is also ~70k km2 higher than the 14-year average for SII on day 151 (not shown in chart).

Note that on the 14-year average, May loses ~2M km2 of ice extent, which 2021 matched, as did 2007.  Both 2020 and 2019 finished lower than average, by 300k and 400k respectively.  In contrast SII shows a May loss of only 1.3M km2.

Why is this important?  All the claims of global climate emergency depend on dangerously higher temperatures, lower sea ice, and rising sea levels.  The lack of additional warming is documented in a post Adios, Global Warming

The lack of acceleration in sea levels along coastlines has been discussed also.  See USCS Warnings of Coastal Floodings

Also, a longer term perspective is informative:

post-glacial_sea_level
The table below shows the distribution of Sea Ice across the Arctic Regions, on average, this year and 2007.

Region 2021151 Day 151 Average 2021-Ave. 2007151 2021-2007
 (0) Northern_Hemisphere 11605537 11733260  -127723  11846659 -241122 
 (1) Beaufort_Sea 1034779 992955  41825  1059461 -24682 
 (2) Chukchi_Sea 900868 861978  38891  894617 6251 
 (3) East_Siberian_Sea 1051959 1065828  -13869  1069198 -17239 
 (4) Laptev_Sea 738294 831217  -92923  754651 -16357 
 (5) Kara_Sea 824068 831440  -7373  895678 -71610 
 (6) Barents_Sea 325745 322981  2765  323801 1944 
 (7) Greenland_Sea 615174 567365  47810  591919 23255 
 (8) Baffin_Bay_Gulf_of_St._Lawrence 812548 908759  -96211  934257 -121709 
 (9) Canadian_Archipelago 811040 811378  -338  818055 -7015 
 (10) Hudson_Bay 1084892 1098368  -13476  1077744 7148 
 (11) Central_Arctic 3232324 3219180  13144  3230109 2215 
 (12) Bering_Sea 89124 122512  -33388  112353 -23228 
 (13) Baltic_Sea 0 161 -161  0
 (14) Sea_of_Okhotsk 83572 97612  -14040  83076 495 

The overall deficit to average happened yesterday, being an extent 1% lower, and two days earlier than average.  The largest deficits to average are in Baffin Bay and Laptev Sea, along with Bering and Okhotsk.  These are partly offset by surpluses elsewhere, mostly in Beaufort, Chukchi, and Greenland Seas.

 

 

May 24, 2021 Arctic Ice Matches Average

Arctic2021144

A previous post reported that Arctic Sea Ice has persisted this year despite a wavy Polar Vortex this spring, bringing cold down to mid-latitudes, and warming air into Arctic regions.  Now in May, the sea ice extent matches the 14-year average.  In the chart above, MASIE has caught up to its average, while SII (Sea Ice Index) is showing 300k km2 more ice.  This is also 200k km2 higher than the 14-year average for SII on day 144 (not shown in chart).

Why is this important?  All the claims of global climate emergency depend on dangerously higher temperatures, lower sea ice, and rising sea levels.  The lack of additional warming is documented in a post Adios, Global Warming

The lack of acceleration in sea levels along coastlines has been discussed also.  See USCS Warnings of Coastal Floodings

Also, a longer term perspective is informative:

post-glacial_sea_level
The table below shows the distribution of Sea Ice across the Arctic Regions, on average, this year and 2007.

Region 2021144 Day 144 Average 2021-Ave. 2007144 2021-2007
 (0) Northern_Hemisphere 12146819 12145771  1048  12035185 111634 
 (1) Beaufort_Sea 1014946 1014623  323  1063324 -48378 
 (2) Chukchi_Sea 926443 884593  41850  925212 1232 
 (3) East_Siberian_Sea 1074468 1068410  6057  1061115 13353 
 (4) Laptev_Sea 847289 862328  -15040  797581 49708 
 (5) Kara_Sea 850992 857488  -6495  898743 -47750 
 (6) Barents_Sea 414971 371726  43245  302721 112250 
 (7) Greenland_Sea 621173 588159  33015  573583 47591 
 (8) Baffin_Bay_Gulf_of_St._Lawrence 861138 985037  -123899  962331 -101193 
 (9) Canadian_Archipelago 836025 824730  11295  828387 7638 
 (10) Hudson_Bay 1109942 1135136  -25194  1091181 18761 
 (11) Central_Arctic 3241735 3223613  18121  3231990 9744 
 (12) Bering_Sea 212840 196725  16115  190680 22160 
 (13) Baltic_Sea 0 1039 -1039  619 -619 
 (14) Sea_of_Okhotsk 133703 130236  3467  105796 27907 

The largest deficit to average is in Baffin Bay, with Laptev and Hudson Bay also starting to melt.  These are offset by surpluses elsewhere, mostly in Chukchi, Barents, and Greenland Sea.

 

 

Mid May 2021 Persistent Arctic Ice

ArcDay135 2007 to 2021

 

Typically in climate observations, averages are referenced without paying attention to the high degree of component variability from year to year, and over longer time periods.  Mid May is when the Spring melt is well underway, but with the Arctic core still frozen solid.  Yet the animation above shows on day 135 over the last 15 years, there are considerable differences as to how much ice is in which regions. 

On the bottom left is Bering Sea which had ice extents on this day ranging from a high of 682k km2 (2012) to a low of 38k km2 (2018).  The day 135 average for Bering is 293k km2, but with a standard deviation of 192k (65%).  Okhotsk center left is the next most variable, from 290k (2012) to 99k (2019), averaging 188k with std. deviation of 63K (33%).  Barents Sea center top has a large variability from 568k km2 (2009) to 223k (2012), averaging 422k km2 +/- 111 k km2.  Other Arctic regions vary little on this day from year to year.  For example, Hudson Bay is close to 1.2M km2 every year on day 135.

The effect on NH total ice extents is presented in the graph below for the period mid April to mid May, comparing the 14-year average with 2021 MASIE and SII, and some other years of interest.

Arctic2021135

Note on average this period shows an ice loss of 1.5M km2.  MASIE 2021 is about 200k km2 below average, 1.6% down, or having the same total extent 3 days ahead of average.  Interestingly, SII shows about 200k higher, matching the MASIE average for day 135.

The table below shows the distribution of sea ice across the Arctic regions.

Region 2021135 Day 135 Average 2021-Ave. 2007135 2021-2007
 (0) Northern_Hemisphere 12490666 12692542  -201876  12431928 58738 
 (1) Beaufort_Sea 1058904 1044067  14837  1057649 1255 
 (2) Chukchi_Sea 926504 921289  5215  953491 -26987 
 (3) East_Siberian_Sea 1083562 1081242  2320  1075314 8248 
 (4) Laptev_Sea 852338 881285  -28948  828738 23600 
 (5) Kara_Sea 858111 882730  -24619  876053 -17942 
 (6) Barents_Sea 396873 421592  -24719  351553 45320 
 (7) Greenland_Sea 669899 618664  51235  564865 105035 
 (8) Baffin_Bay_Gulf_of_St._Lawrence 892167 1093916  -201749  1018780 -126614 
 (9) Canadian_Archipelago 852422 838509  13913  830604 21818 
 (10) Hudson_Bay 1160950 1194448  -33497  1167310 -6360 
 (11) Central_Arctic 3242075 3223985  18089  3234305 7769 
 (12) Bering_Sea 271137 293222  -22085  298268 -27130 
 (13) Baltic_Sea 3752 7215 -3463  6368 -2617 
 (14) Sea_of_Okhotsk 220784 188072  32712  164833 55951 

Overall NH extent March 31 was below average by 200k km2,  equivalent to the deficit in Baffin Bay.  Elsewhere smaller deficits were offset with surpluses. The onset of spring melt is as usual in most regions.

April 2021 Resilient Arctic Ice

 

ArcApr2021 107 to 120

Previous posts noted how Arctic ice extents waxed and waned in response to the wavy Polar Vortex this year.  The animation above showed how the ice fluctuated over the last two weeks.  Okhhotsk upper left steadily lost ~225k km2, while Bering Sea lower left lost ~130k km2 in the first week then waffled around the same extent.  Barents at the top lost ~170k km2 early, then in the last 10 days gained back most of it. Greenland Sea middle right waffled down and up with little change up to yesterday.  Baffin Bay lower right produced the largest deficit on the Atlantic side ~180k km2.

The effect on NH total ice extents is presented in the graph below.Arctic2021120The graph above shows ice extent through April comparing 2021 MASIE reports with the 14-year average, other recent years and with SII.  The average April drops about 1.1M km2 of ice extent.  This year MASIE showed two sharp drops and two recoveries, the last one coming close to average day 118.  SII showed a less than average April loss of ~870k km2.  In the end MASIE 2021 matched 2020, and higher then 2007.

The table below shows the distribution of sea ice across the Arctic regions.

Region 2021120 Day 120 Average 2021-Ave. 2007120 2021-2007
 (0) Northern_Hemisphere 13311402 13551290  -239888  13108068 203334 
 (1) Beaufort_Sea 1058557 1068405  -9848  1059189 -632 
 (2) Chukchi_Sea 962680 954463  8217  949246 13434 
 (3) East_Siberian_Sea 1087137 1085503  1635  1080176 6961 
 (4) Laptev_Sea 897827 888936  8891  875661 22166 
 (5) Kara_Sea 915674 911257  4417  864664 51010 
 (6) Barents_Sea 572380 558256  14124  396544 175837 
 (7) Greenland_Sea 605335 649955  -44620  644438 -39103 
 (8) Baffin_Bay_Gulf_of_St._Lawrence 1004774 1231673  -226899  1147115 -142341 
 (9) Canadian_Archipelago 854597 848502  6095  838032 16565 
 (10) Hudson_Bay 1236512 1242200  -5687  1222074 14439 
 (11) Central_Arctic 3239759 3238255  1504  3241034 -1275 
 (12) Bering_Sea 426670 473606  -46936  475489 -48819 
 (13) Baltic_Sea 12293 20617.28786 -8324  14684 -2390 
 (14) Sea_of_Okhotsk 435360 376555  58804  295743 139617 

Overall NH extent March 31 was below average by 240k km2, or 2%.  With Bering deficit offset by Okhotsk surplus, the entire difference from average matches the Baffin Bay deficit. The onset of spring melt is as usual in most regions.

Zombie Melting Glacier Hype (again)

2035807-robert-frost-quote-some-say-the-world-will-end-in-fire-some-say-inAs we’ve seen many times before, this week Climate Crisis Central put out a scary story about glaciers melting, and captive news outlets dutifully amplified the narrative.  For example, from my news aggregator:

Global satellite data shows how much every glacier on Earth is melting Metro.co.uk

Researchers claim glacier melting has accelerated all around the world Slashgear

Our disappearing glaciers / World will lose 10% of glacier ice even if it hits climate targets The Guardian

A Massive Study of Nearly Every Glacier on Earth Just Revealed a Devastating Trend ScienceAlert

Glacier melt is speeding up, raising seas – study RTE

Global glacier melt is speeding up Swiss Info

Study of nearly every glacier on Earth shows ice loss is speeding up Live Science

Climate change: Accelerated global glacier mass loss in the twenty-first century(Nature) Nature Asia

Glacier melt is speeding up, raising seas: global study France 24

Expert reaction to study looking at global glacier mass loss in the 21st century Science Media Centre

Global glacier retreat has accelerated ETH Zurich

Glacier retreat leading to ‘humanitarian crisis’, says top scientist The Independent

World’s Glaciers Melting Faster Than Ever, With Alaska’s Rate Among ‘Highest on the Planet’ NBC Connecticut

Etc., Etc., Etc.

Yes glaciers individually and seasonally advance and retreat over time, and many people depend on the meltwater to survive. The hype is deceptive in several aspects. Typically, present glacier extents are put into hysterical rather than historical context. Also, the amounts of ice lost are never referenced to the total existing ice mass observed over time. Finally, the attribution of local temperature trends to fossil fuels emissions is presumed without evidence of causation. Some examples of sound scientific analyses provide an antidote to the glaciermania.

Alpine Glaciers Wax and Wane, Don’t Panic

06_infographic_wocc

Prof. em. Christian Schlüchter is a geologist and has studied the glaciers of the Alps in great detail. He reports the findings of very old timber in and below glaciers and what those trees taught him about the glacial epochs of the Alps.  One of the most intuitive finds of Schlüchter’s is this huge tree trunk, found at a glacier tongue (see the most beautiful glacier snout behind!).

schluechterbaum

This place nowadays is clearly above the limit of vegetation and still there is this tree which attracted Schlüchter’s curiosity and fuelled his research: How old is it? Where and under what conditions has it grown and why is it here.

The key message from his slides is that all of these records were left in times when the alpine glacier extent was smaller than in 2005.

Warm periods: more life

The timberline was at least 300 meters higher which indicates a minimum of 1.8° C higher temperatures. An example of this gives Hannibal, who managed to cross the Alps with elephants because the higher regions were much less covered by ice than in recent centuries.

Warm periods: more civilization

As his summary, Schlüchter gave the following facts:

  • More than 50% of the last 11000 years alpine glaciers were smaller than 2005
  • This fact he baptized, “dominance of the Hannibalistic world”
  • Alpine glaciers have shown huge dynamics
  • Events of glacier growth were fast and short
  • The little ice age (from the end of the medieval warm period to about 1850) was the longest glacier extension since the last ice age 12000 years ago
  • Every warming followed an accelerated glacier growth

And more recent news Alpine glaciers are not going away:  Alps Winter Warming “Not Significant”…”Astonishing Contrast Between Official Measurements And Public Opinion”

Austrian researcher skeptic Günther Aigner examined 12 mountains stations across the Alps, spanning Switzerland, Germany and Austria, in order to find out how winter temperatures have developed over the past 50 years.  The temperature data from 12 mountain stations in the European Alps show no winter warming in over 30 years, contradicting alarmist claims.

For more on presentations at the 2019 Munich Climate Realism conference that was interrupted by Antifa thugs see post Munich Climate Conference 2019

Alaska Great for Picking Cherries

Alaska 2019 and 2020

Background from 2017 post Glaciermania

The Weather Network (who do a decent job on local weather forecasting) are currently raving about Glaciers:

You know climate change is getting serious when rivers are resorting to piracy.

Canadian geomorphologist Dr. Daniel Shugar and his team headed to the Yukon last year to study changes in the flow of the Slims River, only to find out the river was gone.

The Slims, which was fed by the Kaskawulsh glacier, has become the victim of the first case of what’s known as river piracy in modern recorded history.

The team’s investigation soon turned up the culprit – the retreat of the Kaskawulsh Glacier, which has been retreating thanks to more than a century of climate warming.

What Actually Happened

web_0416-nw-na-climatemap

For context and scientific perspective we can turn to papers like this one:  Contemporary Glacier Processes and Global Change: Recent Observations from Kaskawulsh Glacier and the Donjek Range, St. Elias Mountains 

One of the most iconic and best studied outlet glaciers of the St. Elias Mountains, Kaskawulsh Glacier was the focus of much glaciological research during the Icefield Ranges Research Project between the 1960s and early 1970s  and contemporary studies suggest that the glacier is temperate throughout. The current area of Kaskawulsh Glacier is ~1095 km2. Ice thicknesses range from 539 m near the topographic divide with the upper Hubbard Glacier and ~500 m at the confluence of the north and central arms at ~1750 m asl to 778 m at ~1600 m asl. The equilibrium line altitude is estimated from 2007 late summer satellite imagery as 1958 m asl, and it appears to have changed little since the 1970s.

The size of Kaskawulsh Glacier has varied considerably through time, with radiocarbon dating suggesting that it expanded by tens of kilometres into the Shakwak Valley (currently occupied by Kluane Lake) ~30 kya during the Wisconsinan Glaciation. In the historical past, Borns and Goldthwait (1966) mapped three sets of Little Ice Age moraines in the glacier forefield on the basis of distinctive variations in vegetation cover, morphology, and the ages of trees and shrubs.

Kaskawulsh Glacier was advancing by the early 1500s and reached its maximum recent position by approximately AD 1680. A recent study based on tree-ring dates suggests that the Slims River lobe reached its greatest Little Ice Age extent in the mid-1750s, whereas the Kaskawulsh River lobe reached its maximum extent around 1717. However, it appears that the glacier did not start retreating from this position until the early to middle 1800s. The recent discovery of a Geological Survey of Canada map of the glacier terminus from 1900 to 1904 indicates that the glacier was still in a forward position at that time, suggesting that most of the terminus retreat occurred in the 20th century.

Recent studies conducted by researchers at the University of Alaska and the University of Ottawa indicate that ice losses from Kaskawulsh Glacier have continued through the latter half of the 20th century and first decade of the 21st century, although evidence for any recent acceleration in loss rates is equivocal.

Of the 19 glacierized regions of the world outside of the ice sheets, the region including the St. Elias Mountains made the second highest glaciological contribution to global sea level during the period 1961 – 2000. Only Arctic Canada is expected to exceed this region in sea-level contribution over the 21st century.

The St. Elias Mountains exhibit high interannual variability in ice mass change, which is due in part to the abundance of surge-type and tidewater glaciers in different stages of their respective cycles. Ice dynamics can be a confounding influence when attempting to isolate the effects of climate as an external driver of glacier change. 

About the Two Gorilla Glaciers

World Land Ice Mass

A webpage What is the global volume of land ice and how is it changing? at Antarctic Glaciers.org provides some basic statistics for perspective on land ice.  They provide this table:

World ice table AG org

Notice what they’ve done with this graphic.  A different measure of ice volume hides the proportion of ice melt, covering up how myopic and lop-sided is the alarmist case.  Let’s look at the same table revised with comparable metrics.

World ice table in Gt

 

Now the realities are obvious  99% of the world land ice is on top of Antarctica (88%) and Greenland (11%).  All the fuss in the media above concerns fluctuations in less than 1% of glacier mass.  Secondly, the bottom line is should present melt rates continue ( a big if ) the world would lose 3% of land ice in 1000 years.  Note also the wide range of estimates of the smallest category of glaciers, and also the uncertain reported volume change for East Antarctica.  Note that the melt rates are for 2012 to 2016, leaving out lower previous rates and periods when ice mass gained.

Add to this a recent analysis NASA Surface Station Data Show East Antarctica NOT WARMING Past 4 Decades…Cooling Trend.  

See also Blinded by Antarctica Reports

As for Greenland ice sheet, read the recent research at post  Oh No! Greenland Melts in Virtual Reality “Experiments”.  Excerpts below:

The scare du jour is about Greenland Ice Sheet (GIS) and how it will melt out and flood us all.  It’s declared that GIS has passed its tipping point, and we are doomed.  Typical is the Phys.org hysteria: Sea level rise quickens as Greenland ice sheet sheds record amount:  “Greenland’s massive ice sheet saw a record net loss of 532 billion tonnes last year, raising red flags about accelerating sea level rise, according to new findings.”

gis-smb-2017-to-2020

Panic is warranted only if you treat this as proof of an alarmist narrative and ignore the facts and context in which natural variation occurs. For starters, consider the last four years of GIS fluctuations reported by DMI and summarized in the eight graphs above.  Note the noisy blue lines showing how the surface mass balance (SMB) changes its daily weight by 8 or 10 gigatonnes (Gt) around the baseline mean from 1981 to 2010.  Note also the summer decrease between May and August each year before recovering to match or exceed the mean.

The other four graphs show the accumulation of SMB for each of the last four years including 2020.  Tipping Point?  Note that in both 2017 and 2018, SMB ended about 500 Gt higher than the year began, and way higher than 2012, which added nothing.  Then came 2019 dropping below the mean, but still above 2012.  Lastly, this year is matching the 30-year average.  Note also that the charts do not integrate from previous years; i.e. each year starts at zero and shows the accumulation only for that year.  Thus the gains from 2017 and 2018 do not result in 2019 starting the year up 1000 Gt, but from zero.

Summary

So it is a familiar story. A complex naturally fluctuating situation, in this case glaciers, is abused by activists to claim support for their agenda. I have a lot of respect for glaciologists; it is a deep, complex subject, and the field work is incredibly challenging. And since “glacial” describes any process where any movement is imperceptible, I can understand their excitement over something happening all of a sudden.

But I do not applaud those pandering to the global warming/climate change crowd. They seem not to realize they debase their own field of study by making exaggerated claims and by “jumping the shark.”

Meanwhile real scientists are doing the heavy lifting and showing restraint and wisdom about the limitations of their knowledge.

kyvp5x

 

 

Cool 2021 Spring Continues

imagehy1p

Dr. Judah Cohen provides a weather outlook based upon his study of the Arctic Oscillation at his blog Arctic Oscillation and Polar Vortex Analysis and Forecast April 19, 2021.  Excerpts in italics with my bolds.

The PV is in its waning days of the 2020/21 cold season and will likely be nearly or completely disappeared by the next blog update. This seems to me to be a clear dynamically assisted Final Warming as vertical Wave Activity Flux (WAFz and is proportional to poleward heat transport) has been active for at least a week now and is predicted to remain active for the next two weeks. A dynamic Final Warming can result in some cooler weather across the mid-latitudes; and in my opinion the snow and possibly record cold temperatures predicted for the Eastern US this week is related to the dynamic Final Warming. The PV is being stretched from Siberia to Canada that creates cross polar flow from Siberia to North America that drives cold air south across Canada and the US east of the Rockies. I do believe that this is a short-term impact only and will not have an influence on the summer weather across North America.

Europe has had an impressively cool April, relative to recent Aprils (probably the coolest April since 2013 and maybe even since 2003), which is directly attributable to Greenland blocking that has also extended into the North Atlantic for much of the month. There are no strong signs that the Greenland blocking will disappear any time soon, and as long as it persists, Europe can experience relatively cool temperatures. I see no obvious signs that the Greenland blocking is tied to PV variability and it is therefore more challenging for me to anticipate how long it will last. But it is likely that the streak of cool weather is dependent on the persistence of the Greenland blocking. If and when the Greenland blocking abates, European temperatures could start to climb.

As noted in previous posts, when cold Arctic air pushes south, it is replaced by warmer air contributing to ice melting.  To be clear, sea ice melts primarily because of sunshine directly, and indirectly by intruding sun-warmed water, mostly from the Atlantic by way of Barents Sea. The Arctic in summer daily receives more solar energy than does the equator.  Warmer air is a tertiary contributing factor.

ArcApril 099 to 110

The animation shows Okhotsk upper left lost ~250k km2 of ice extent over the last 10 days.  Bering Sea lower left waffled with little change until losing ~60k km2 the last two days.  On the Atlantic side, Barents Sea upper right gained ~100k km2 over a week, then lost most of it ending about the same.  Greenland Sea middle right lost ~100k km2m, while Baffin Bay lower right waffled and lost very little.

Arctic2021110

The overall impact on NH sea ice is shown in the graph above.  Firstly a drop starting April 10, then recovering April 14 and holding firm to draw near to average, before another drop the last two days.

Background Previous Post  Spring 2021: Warm is Cold, and Down is Up

The cold Spring this year is triggering responses turning natural factors upside down and backwards, confusing causes and effects.  For example, this article at Science Daily Snow chaos in Europe caused by melting sea-ice in the Arctic.  The simplistic appeal to “climate change” is typical: “It is the loss of the Arctic sea-ice due to climate warming that has, somewhat paradoxically, been implicated with severe cold and snowy mid-latitude winters.”  In fact, as we shall see below, it is the wavy Polar Vortex causing both cold mid-latitudes from descending Arctic air, and melting ice from intrusions of warmer southern air.  Importantly, global warming theory asserts that adding CO2 causes the troposphere to warm and the stratosphere to cool.  What we are experiencing this Spring is an unstable Polar vortex due to events of Sudden Stratospheric Warming  (SSWs), not cooling.

Seasoned meteorologist Judah Cohen of AER shows the mechanism this way:

My colleagues, at AER and at selected universities, and I have found a robust relationship between two October Eurasian snow indices and the large-scale winter hemispheric circulation pattern known as the North Atlantic or Arctic Oscillation pattern (N/AO).

The N/AO is more highly correlated with or explains the highest variance of winter temperatures in eastern North America, Europe and East Asia than any other single or combination of atmospheric or coupled ocean-atmosphere patterns that we know of. Therefore, if we can predict the winter N/AO (whether it will be negative or positive) that provides the best chance for a successful winter temperature forecast in North America but certainly does not guarantee it.

He goes on to say that precipitation is the key, not air temperatures, and ENSO is a driving force:

As long as I have been a seasonal forecaster, I have always considered El Nino/Southern Oscillation (ENSO) as a better predictor of precipitation than temperature across the Eastern US. I think this is supported by the observational or statistical analysis as well as the skill or accuracy of the climate models.

There have been recent modeling studies that demonstrate that El Nino modulates the strength and position of the Aleutian Low that then favors stratospheric warmings and subsequently a negative winter N/AO that are consistent with our own research on the relationship between snow cover and stratospheric warmings. So the influence of ENSO on winter temperatures in the Mid-Atlantic and the Northeast may be greater than I acknowledge or that is represented in our seasonal forecast model.

Summary

As Cohen’s diagram shows, there is an effect from warming, but in the stratosphere. Global warming theory claims CO2 causes warming in the troposphere and cooling in the stratosphere. So whatever is going on, it is not due to CO2.

Cohen’s interview with the Washington Post.

its-easier-to-fool-people-than-to-convince-them-that-they-have-been-fooled

 

The current situation is described in Cohen’s most recent post at his Arctic Oscillation blog:

The stratospheric PV always disappear in the spring due to the increasing solar radiation in the polar stratosphere. However, during some springs in addition to the radiative warming of the polar stratosphere, there is also dynamic warming of the polar stratosphere due to the absorption of upwelling Wave Activity Flux (WAFz) from the troposphere. This occurred last spring, which did result in a cool May and even some rare snowfall in the Northeastern US. The predicted return of Ural blocking coupled with Northeast Asia/northern North Pacific troughing is conducive to more active WAFz. The latest PV animation (see Figure ii) shows the stratospheric PV filling (weakening) and meandering over the northern Asia in response to the more active WAFz. This could be the beginning of a dynamically assisted Final Warming that could result in a period of cooler temperatures in parts of the mid-latitudes.

imagesj5oh

Figure ii. Observed and predicted daily geopotential heights (dam; contours) and anomalies (shading) through April 21, 2021. The forecast is from the 00Z 5 April 2021 GFS ensemble.

Background is at post No, CO2 Doesn’t Drive the Polar Vortex 

graphic20-20polarvortex_explained_updated2001291920-204034x2912-1

 

Spring 2021: Warm is Cold, and Down is Up

The cold Spring this year is triggering responses turning natural factors upside down and backwards, confusing causes and effects.  For example, this article at Science Daily Snow chaos in Europe caused by melting sea-ice in the Arctic.  The simplistic appeal to “climate change” is typical: “It is the loss of the Arctic sea-ice due to climate warming that has, somewhat paradoxically, been implicated with severe cold and snowy mid-latitude winters.”  In fact, as we shall see below, it is the wavy Polar Vortex causing both cold mid-latitudes from descending Arctic air, and melting ice from intrusions of warmer southern air.  Importantly, global warming theory asserts that adding CO2 causes the troposphere to warm and the stratosphere to cool.  What we are experiencing this Spring is an unstable Polar vortex due to events of Sudden Stratospheric Warming  (SSWs), not cooling.

Seasoned meteorologist Judah Cohen of AER shows the mechanism this way:

My colleagues, at AER and at selected universities, and I have found a robust relationship between two October Eurasian snow indices and the large-scale winter hemispheric circulation pattern known as the North Atlantic or Arctic Oscillation pattern (N/AO).

The N/AO is more highly correlated with or explains the highest variance of winter temperatures in eastern North America, Europe and East Asia than any other single or combination of atmospheric or coupled ocean-atmosphere patterns that we know of. Therefore, if we can predict the winter N/AO (whether it will be negative or positive) that provides the best chance for a successful winter temperature forecast in North America but certainly does not guarantee it.

He goes on to say that precipitation is the key, not air temperatures, and ENSO is a driving force:

As long as I have been a seasonal forecaster, I have always considered El Nino/Southern Oscillation (ENSO) as a better predictor of precipitation than temperature across the Eastern US. I think this is supported by the observational or statistical analysis as well as the skill or accuracy of the climate models.

There have been recent modeling studies that demonstrate that El Nino modulates the strength and position of the Aleutian Low that then favors stratospheric warmings and subsequently a negative winter N/AO that are consistent with our own research on the relationship between snow cover and stratospheric warmings. So the influence of ENSO on winter temperatures in the Mid-Atlantic and the Northeast may be greater than I acknowledge or that is represented in our seasonal forecast model.

Summary

As Cohen’s diagram shows, there is an effect from warming, but in the stratosphere. Global warming theory claims CO2 causes warming in the troposphere and cooling in the stratosphere. So whatever is going on, it is not due to CO2.

Cohen’s interview with the Washington Post.

its-easier-to-fool-people-than-to-convince-them-that-they-have-been-fooled

 

The current situation is described in Cohen’s most recent post at his Arctic Oscillation blog:

The stratospheric PV always disappear in the spring due to the increasing solar radiation in the polar stratosphere. However, during some springs in addition to the radiative warming of the polar stratosphere, there is also dynamic warming of the polar stratosphere due to the absorption of upwelling Wave Activity Flux (WAFz) from the troposphere. This occurred last spring, which did result in a cool May and even some rare snowfall in the Northeastern US. The predicted return of Ural blocking coupled with Northeast Asia/northern North Pacific troughing is conducive to more active WAFz. The latest PV animation (see Figure ii) shows the stratospheric PV filling (weakening) and meandering over the northern Asia in response to the more active WAFz. This could be the beginning of a dynamically assisted Final Warming that could result in a period of cooler temperatures in parts of the mid-latitudes.

imagesj5oh

Figure ii. Observed and predicted daily geopotential heights (dam; contours) and anomalies (shading) through April 21, 2021. The forecast is from the 00Z 5 April 2021 GFS ensemble.

Background is at post No, CO2 Doesn’t Drive the Polar Vortex 

graphic20-20polarvortex_explained_updated2001291920-204034x2912-1

 

March 2021 Arctic Ice Persists

March Arctic ice 2007 to 2021

Previous posts showed 2021 Arctic Ice fell short of breaking the 15M km2 ceiling mid March due to a February Polar Vortex disruption.  As we shall see below, another smaller PV disruption is now occurring accelerating the normal spring melting season.  The graph above shows that the March monthly average has varied little since 2007, typically around the SII average of 14.7 M km2.  Of course there are regional differences as described later on.

Dr. Judah Cohen at AER provides an image of how this latest PV disruption appears:

gfs_animation_010hpa_20210322_20210407

The High pressure areas were forecast to warm over the Pacific Arctic basins, and extending over to the European side, while the cold Low area is presently extending down into North America, bringing some snow on April 1 in Montreal (no joke).  The effect on Arctic Ice is shown in the animation below:

ArcticMarch2021 080 to 090

Over the last 10 days, Okhotsk upper left lost 180k km2 while Bering lower left lost half that with a slight recovery yesterday.  Barents Sea upper right lost 145k km2 over the same period.  The effect on NH total ice extents is presented in the graph below.

Arctic2021090

The graph above shows ice extent through March comparing 2021 MASIE reports with the 14-year average, other recent years and with SII.  After drawing close to average by day 80, 2021 ice extents dropped sharply and at March end matched both 2020 and 2007.  Despite losses from this PV event, the 2020 March monthly average ended up comparable to other years, as seen in the chart at the top.  In fact, the SII dataset of monthly gains and losses shows March 2021 gained slightly over end of February, compared to a 200k km2 loss for the average March.

 

The table below shows the distribution of sea ice across the Arctic regions.

Region 2021090 Day 090 Average 2021-Ave. 2007090 2021-2007
 (0) Northern_Hemisphere 14266634 14692014  -425380  14222916 43718 
 (1) Beaufort_Sea 1070689 1070177  512  1069711 978 
 (2) Chukchi_Sea 966006 964100  1907  966006
 (3) East_Siberian_Sea 1087137 1086134  1003  1074908 12229 
 (4) Laptev_Sea 897827 896838  989  884340 13487 
 (5) Kara_Sea 935023 916581  18442  892157 42866 
 (6) Barents_Sea 602392 649566  -47174  441970 160422 
 (7) Greenland_Sea 620574 658050  -37476  686312 -65739 
 (8) Baffin_Bay_Gulf_of_St._Lawrence 1243739 1438412  -194673  1217467 26272 
 (9) Canadian_Archipelago 854597 852959  1638  850127 4470 
 (10) Hudson_Bay 1260903 1254727  6176  1229995 30908 
 (11) Central_Arctic 3192844 3234463  -41619  3242237 -49393 
 (12) Bering_Sea 549939 736829  -186890  814788 -264849 
 (13) Baltic_Sea 33543 608741 -27331  45897 -12354 
 (14) Sea_of_Okhotsk 942085 861234  80850  794657 147428 

Overall NH extent March 31 was below average by 425k km2, or 3%.  The bulk of the deficit is seen in Bering and Baffin, along with Barents Sea.  Okhotsk remains above average in spite of recent losses.  The onset of spring melt is as usual in most regions.

Update: Two of Four Seasons Gone, Because Climate Change

Yale Climate Connections reports on the seepage of climatism into classical music:  Composers, scientists, designers update Vivaldi’s ‘Four Seasons’ for an era of climate change.  Excerpts in italics with my bolds.

Three hundred years ago, Vivaldi wrote “The Four Seasons.” It portrays the natural world, from birdsong to summer storms.

But the warming climate could radically alter the natural world by 2050, so a new version of “The Four Seasons” has been altered, too.

“We really wanted to walk that line between being too ridiculously catastrophic and kind of meaningfully changing this to make it sound what we think it might feel like to live in that time,” says Tim Devine of AKQA.

The design agency partnered with composers and scientists to develop an algorithm that translates projected environmental changes into musical changes. It allows them to create localized versions for any place where the piece is performed.

In the version played by Australia’s Sydney Symphony Orchestra, missing notes reflect declining bird populations, and the summer storm is more intense and prolonged.

For listeners, the result is familiar, but unsettling – and a warning about how the world could change if nothing is done to reduce global warming.

Background from previous Post–Spoof Becomes Woke Reality

From the NewsThump, Vivaldi’s Four Seasons reduced to Two in light of climate change.  Excerpts in italics with my bolds.

Antonio Vivaldi’s Four Seasons concerti will now consist of just two seasons, because that’s all there are these days.

The conductor of the London Philharmonic Orchestra Simon Williams commented, “The current generation doesn’t really understand the idea of four different seasons of weather, so in a bid to appeal to a modern audience we’ve updated the concerti to be more representative of 300 years of environmental damage.

“Overall, the suite will be much more discordant and unpredictable. The part representing winter will be doubled in length and feature woodwind solos to signify the yearly rising of floodwaters. A choir of scientists will sing the aria ‘Te Lo Abbiamo Detto’ (We Told You So).

Spring and autumn will be done away with altogether.

“Summer has also been greatly extended, as has the ‘languor caused by the heat’ bit, occasionally broken up strings phrases to represent next door’s kids on the trampoline.”

How quickly does a virtue-bestowing idea spread.  What was spoof news a year ago is now performed on stage.  And the musical score adjusted with the help of a computer warming model.