As with previous CIS contributions, the 2016 forecast was derived by considering a combination of methods: 1) a qualitative heuristic method based on observed end - of - winter Arctic ice thickness / extent, as well as winter surface air temperature,
spring ice conditions and the summer temperature forecast; 2) a simple statistical method, Optimal Filtering Based Model (OFBM), that uses an optimal linear data filter to extrapolate the September sea ice extent time - series into the future and 3) a Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictors.
Therefore, a model run driven with atmospheric data from 2007, which is started from
spring ice conditions in 2008 instead of 2007, leads to an even smaller ice extent.
This ice will likely affect both winter and
spring ice conditions in the coming year.
Tagged adaptation, AMO, Amstrup, Barents Sea, dens, Franz Josef Land, Kara Sea, Mauritzen, polar bear, polar bear resilience, pregnant females, satellite radio collars,
spring ice conditions, Svalbard, WWF
Not exact matches
If we compare the
ice thickness map of the previous winter with that of 2012, we can see that the current
ice conditions are similar to those of the
spring of 2012 — in some places, the
ice is even thinner,» Dr Marcel Nicolaus, sea
ice physicist at AWI, said today at a press conference during the EGU General Assembly in Vienna.
But before you read on, have a quick look at this short time - lapse video of sea
ice and weather
conditions in the central Arctic Ocean from early July through August 8, recorded by one of the two autonomous cameras set on the sea
ice near the North Pole each
spring by a research team from the University of Washington (the same folks I accompanied in 2003).
In an experimental cross-check, more than a dozen teams of polar
ice experts tried issuing experimental forecasts of the sea
ice as
conditions evolved through the
spring and summer.
For several years, Rhett Herman, a physics professor at Radford University, has been leading students on an expedition each
spring break to study the
condition of the sea
ice off the coast near Barrow, Alaska.
The animated sea -
ice imagery above — from one of two autonomous cameras set on
ice near the North Pole each
spring — gives a close - focus view of the slushy
conditions that develop on the shifting
ice when the summer sun is at its peak.
Several specialists studying Arctic sea
ice told me that there's a good chance that, if current
conditions persist, the
ice this
spring could be in better shape than it has been over the last few years.
As expected from my 2002 paper, the low A.O.
conditions of late have sequestered quite a bit of sea
ice the Arctic, which should foster a more moderate retreat of sea
ice extent this coming
spring, summer and fall.
Despite what has appeared to be a big early dip in the extent of sea
ice on the Arctic Ocean this
spring, a suite of forecasts issued today by the leading teams studying shifting
conditions around the North Pole mostly do not (quite) see a repeat of the extraordinary
ice pullback in 2007.
Regarding
conditions for
spring 2012, Figure 4 shows maps of
ice categories derived from sea -
ice age for the beginning of May 2012, with maps for early May and mid-September 2011 included for comparison.
This month's report includes details on the causes of the 2012 minimum, the use of sea
ice volume versus extent, sea
ice in climate models, and late
spring 2013
conditions.
Gudmansen et al. provided a detailed description of the fall to
spring evolution of
ice conditions in the Nares Strait region.
Based on a review of
spring air temperatures, the winter evolution of the
ice bridge and current
ice conditions, Gudmansen predicts that the
ice bridge will break down during the second half of June.
If the
ice - out date is a couple of weeks earlier in the
spring, and the complementary
ice - in
conditions is a couple of weeks later in the fall, one can understand that winter is becoming warmer and believe that warm weather animals are taking advantage of this and expanding their ecological range.
Gerland et al. provided a detailed description of
ice conditions in April / May 2013 including
spring field observations near Svalbard.
Tagged annual summer minimum, arctic sea
ice, Beaufort Sea, body
condition, Cherry, Chukchi, declining sea
ice, Eastern Beaufort, good news, heavy sea
ice, Hudson Bay,
ice - free Arctic, litter size, loss of summer
ice, Pilfold, polar bear, record low, Regehr, ringed seals, Rode, sea
ice extent, Southern Beaufort, Stirling, summer
ice minimum, summer sea
ice, thick
spring ice
One aspect of the recently published study on Chukchi Sea polar bears (Rode et al. 2014 [now in print] 2013; see here and here) has not been stressed enough: their finding that the differences in overall
condition between bears in the Chukchi and Southern Beaufort Seas came down to disparities in
spring feeding opportunities and therefore, the
condition of
spring sea
ice.
This emphasizes the fact that the primary problem faced by Southern Beaufort sea polar bears is not scarce summer
ice but by thick sea
ice conditions in the
spring.
In
spring, however, cloudy
conditions begin to dominate, causing temperatures to warm on average and move the
ice closer to its melting temperature, even before the newly risen Sun is strong enough to matter.
Lukovich et al. (Centre for Earth Observation Science, U. of Manitoba); 4.6; Heuristic - Dynamics Investigation of dynamical atmospheric contributions in
spring to sea
ice conditions in fall, based on comparison of 2011 and 2007 stratospheric and surface winds and sea level pressure (SLP) in April and May suggests regional differences in sea
ice extent in fall, in a manner consistent with recent studies highlighting the importance of coastal geometry in seasonal interpretations of sea
ice cover (Eisenman, 2010).
Sea -
ice age estimates in
spring, showing
conditions during the last week of April in 2009 (upper image) and 2010 (lower image).
Regarding initial
conditions for
Spring 2010, Figure 2 by Maslanik and others shows maps of sea
ice classes derived from sea
ice age for April 2010 and 2009.
Pre-season and summer sea
ice conditions as well as the
spring and summer atmospheric circulation are reviewed in the pan-arctic post-season report.
As discussed in the section below on late
spring 2011
conditions, May 2011 looked similar in many respects to May 2010 and supports an early sea
ice loss.
Including open - water phytoplankton biomarkers as well as micropaleontological data, we demonstrate (1) that a permanent sea
ice cover existed during MIS 6 and (2) that during the LIG sea
ice was still present in the central Arctic Ocean during the
spring / summer season even under (global) boundary
conditions significantly warmer than the present.
Similar sea
ice trends and weather
conditions were present during the
spring seasons preceding past
ice shelf retreats (e.g., 2001 to 2002).
They wrote that Dyck, Soon and their collaborators ignored data from the previous decade that showed that as the climate warmed, the sea
ice is melting earlier each
spring, sending polar bears ashore for longer periods of time in progressively poorer
condition.
The coupling of IP25 with phytoplankton biomarkers such as brassicasterol or dinosterol proves to be a viable approach to determine (
spring / summer) sea
ice conditions as is demonstrated by the good alignment of the PIP25 - based estimate of the recent sea
ice coverage with satellite observations38.
September 2008 sea
ice extent was driven by preexisting
conditions at the end of
spring, as well as variable wind patterns over the summer.
Because of the importance of initial
conditions for the sea
ice state, more work is needed on remote sensing retrieval and interpretation of
spring and summer
ice concentrations and
ice conditions, even if the present operational algorithms are not changed.
In years such as 2008, initial sea
ice conditions at the end of
spring may have more of an influence on a September arctic sea
ice extent Outlook than a forecast of summer wind fields, which dominated the
ice situation in 2007.
The Outlook also underscored important lessons for improvements in future efforts, including: a need for additional work on remote sensing of
spring and summer sea
ice conditions; sea
ice thickness data; and more formal forecasting and evaluation methods.
As noted last month, this range depends in part on the relative weight that the respondents give to «initial
conditions,» e.g., age and thickness of sea
ice at the end of
spring, versus whether summer winds in 2008 will be as supportive for
ice loss as the favorable winds were in 2007.
A key question to be addressed was: How important were initial
conditions of the sea
ice at the end of
spring versus anomalous summer meteorological forcing in driving the second sequential major September sea
ice minimum?
When the
ice conditions in
spring are used as an indicator of what may happen several months later in September, there is a need to significantly raise the error bar considering the significant variability of weather and climate.
Because of the importance of initial
conditions for the sea
ice state, more work is needed on remote sensing retrieval and interpretation of
spring and summer
ice concentrations and
ice condition, even if the present operational algorithms are not changed.
September 2009 sea
ice extent was driven by preexisting sea
ice conditions at the end of
spring, as well as variable wind patterns over the course of summer.
Therefore, due to entirely natural variations in
spring snow
conditions over sea
ice (and thickness of the
ice), 2 polar bear population sizes can vary by region.
The second method uses a optimal filtering based statistical model, and the third estimate is based on regression models relating September sea
ice extent to
spring atmospheric and oceanic
conditions.
Based on the understanding of both the physical processes that control key climate feedbacks (see Section 8.6.3), and also the origin of inter-model differences in the simulation of feedbacks (see Section 8.6.2), the following climate characteristics appear to be particularly important: (i) for the water vapour and lapse rate feedbacks, the response of upper - tropospheric RH and lapse rate to interannual or decadal changes in climate; (ii) for cloud feedbacks, the response of boundary - layer clouds and anvil clouds to a change in surface or atmospheric
conditions and the change in cloud radiative properties associated with a change in extratropical synoptic weather systems; (iii) for snow albedo feedbacks, the relationship between surface air temperature and snow melt over northern land areas during
spring and (iv) for sea
ice feedbacks, the simulation of sea
ice thickness.
As late April is the peak of this critical
spring feeding period for most polar bear populations, this is when sea
ice conditions are also critical.