Lett., 2011, doi: 10.1029 / 2011GL048008) evaluated the NCAR CCSM4 model
arctic sea ice trends and found that on time - scales less than 10 years, it's equally possible for the September sea ice to increase or decrease even into the 21st century.
remember
the arctic sea ice trend remember the kilimanjaro glacier trend à ¯ f the trend presists it'll all be gone by 2050.
Not exact matches
Canadian
Ice Service, 4.7, Multiple Methods As with CIS contributions in June 2009, 2010, and 2011, the 2012 forecast was derived using a combination of three methods: 1) a qualitative heuristic method based on observed end - of - winter arctic ice thicknesses and extents, as well as an examination of Surface Air Temperature (SAT), Sea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model, which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predicto
Ice Service, 4.7, Multiple Methods As with CIS contributions in June 2009, 2010, and 2011, the 2012 forecast was derived using a combination of three methods: 1) a qualitative heuristic method based on observed end - of - winter
arctic ice thicknesses and extents, as well as an examination of Surface Air Temperature (SAT), Sea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model, which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predicto
ice thicknesses and extents, as well as an examination of Surface Air Temperature (SAT),
Sea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model, which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predicto
Sea Level Pressure (SLP) and vector wind anomaly patterns and
trends; 2) an experimental Optimal Filtering Based (OFB) Model, which uses an optimal linear data filter to extrapolate NSIDC's September
Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predicto
Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and
sea ice predicto
sea ice predicto
ice predictors.
We interpret the split of 2013 Outlooks above and below the 4.1 level to different interpretations of the guiding physics: those who considered that observed
sea ice extent in 2012 being well below the 4.1 level indicates a shift in
arctic conditions, especially with regard to reduced
sea ice thickness and increased
sea ice mobility; and those who have estimates above 4.1 who support a return to the longer - term downward
trend line (1979 - 2007).
We interpret the split of 2013 Outlooks above and below the 4.1 median to different interpretations of the guiding physics: those who considered that observed
sea ice extent in 2012 being well below the 4.1 level indicates a shift in
arctic conditions, especially with regard to reduced
sea ice thickness and increased
sea ice mobility; and those with estimates above 4.1 who support a return to the longer - term downward
trend line (1979 - 2007).
This model has been proven skillful in reproducing the monthly
arctic (and Antarctic)
sea ice extent anomalies over the last 30 years, as well as the observed long - term downward
trend.
The
trend will lead to a diminished
arctic sea -
ice cover.
sea ice,
arctic, antarctic, climate change, global warming, general linear model, dummy variable, regression, deseasonalized
trend,
trend analysis
However, it seems to me that when you add the energy involved in the atmosphere and the energy involved in melting
arctic sea ice, the surface warming
trend no longer shows a pause.
If you agree with me that 4 years is too short term to be meaningful for a
trend of
arctic sea ice extent then why are you bothering me with it?
THERE HAS BEEN A WARMING
TREND FROM THE 70s THRU THE LATE 90s,... accompanied by other changes tied to a warming trend (record low arctic sea ice extent & thickness, retreating glaciers, retreating snow lines, warming ocean surface temps, increases in sea height, de-alkalinizing oce
TREND FROM THE 70s THRU THE LATE 90s,... accompanied by other changes tied to a warming
trend (record low arctic sea ice extent & thickness, retreating glaciers, retreating snow lines, warming ocean surface temps, increases in sea height, de-alkalinizing oce
trend (record low
arctic sea ice extent & thickness, retreating glaciers, retreating snow lines, warming ocean surface temps, increases in
sea height, de-alkalinizing oceans).
While the value for 2009 is near the
trend line (see Stern),
arctic sea ice internal conditions are considerably different from 2005.
That a simple warming
trend throughout the 20th century does not characterise
arctic conditions is also confirmed by records of
ice cover in the four
seas that lie north of Siberia (Kara, Laptev, East Siberian and Chukchi); these show clearly that
ice variability in these
seas is dominated by a low frequency oscillation of frequency 60 ‐ 80 years that «places a strong limitation on our ability to resolve long term
trends».
While NASA says
sea ice probably won't set any records this year, we have this horrible news: Sea ice decline spurs the greening of the Arctic Sea ice decline and warming trends are changing the vegetation in nearby arctic coastal areas, according to two University of Alaska Fairbanks scientis
sea ice probably won't set any records this year, we have this horrible news:
Sea ice decline spurs the greening of the Arctic Sea ice decline and warming trends are changing the vegetation in nearby arctic coastal areas, according to two University of Alaska Fairbanks scientis
Sea ice decline spurs the greening of the
Arctic Sea ice decline and warming trends are changing the vegetation in nearby arctic coastal areas, according to two University of Alaska Fairbanks scientis
Sea ice decline and warming
trends are changing the vegetation in nearby
arctic coastal areas, according to two University of Alaska Fairbanks scientists.
From 1978 to 1996, the average
ice cover around Antarctica showed almost no
trend (a slight increase 1.3 % per decade), however
ice decreased by 2.9 % per decade on average over the
arctic seas (1).
Record droughts in many areas of the world, the loss of
arctic sea ice — what you see is an increasing
trend that is superimposed on annual variablity (no bets on what happens next year, but the five - to - ten year average in global temperatures,
sea surface temperatures, ocean heat content — those will increase — and
ice sheet volumes, tropical glacier volumes,
sea ice extent will decrease.
MODELING OF FUTURE
ARCTIC SEA ICE CHANGE «Given the estimated
trend and the volume estimate for October — November of 2007 at less than 9,000 km3 (Kwok et al. 2009), one can project that at this rate it would take only 9 more years or until 2016 ± 3 years to reach a nearly
ice - free
Arctic Ocean in summer.»
Statistics Canada — Average area covered by total (all)
sea ice during summer from 1968 to 2010 for
sea ice regions of
Arctic Domain — EnviroStats — See how clear the
trends are in all of Canada's
arctic regions: down, down, down at something like 7 or 8 percent a decade.