In a study coordinated by the Finnish Meteorological Institute, the computation of
snow reflectivity for solar radiation (aka.
The range of model projections for each emissions scenario is the result of the differences in the ways the models represent key factors such as water vapor, ice and
snow reflectivity, and clouds, which can either dampen or amplify the initial effect of human influences on temperature.
The feedbacks primarily determining that response are related to water vapor, ice and
snow reflectivity, and clouds.1 Cloud feedbacks have the largest uncertainty.
A series of unique experiments organized by FMI were conducted to further study the effects of soot particles on
snow reflectivity and snow melt.
In a study coordinated by the Finnish Meteorological Institute, the computation of
snow reflectivity for solar radiation (aka.
Not exact matches
The research showed that, compared to pure
snow and ice, the
reflectivity of the glacier (known as the «albedo») can be reduced by up to 80 % in places where coloured microbial populations are extremely dense, leading to the darkening of the glacier surface.
Black carbon aerosols — particles of carbon that rise into the atmosphere when biomass, agricultural waste, and fossil fuels are burned in an incomplete way — are important for understanding climate change, as they absorb sunlight, leading to higher atmospheric temperatures, and can also coat Arctic
snow with a darker layer, reducing its
reflectivity and leading to increased melting.
Dartmouth Adjunct Assistant Professor Chris Polashenski and his colleagues found that degrading satellite sensors, not soot or dust, are responsible for the apparent decline in
reflectivity of Arctic
snow.
Two properties dominate
reflectivity in dry
snow — the size of
snow grains, which become larger and more absorbent as they melt, and the presence of dark impurities that absorb the sun's energy, predominantly black carbon and mineral dust, which also cause the
snow to melt faster.
The apparent decline is greatest around the ice sheet's edges, but it also is occurring in the high elevation interior known as the dry
snow zone, where the
reflectivity is effectively reset each winter by new snowfall.
The results showed no significant change in the quantity of black carbon deposited for the past 60 years or the quantity and mineralogical makeup of dust compared to the last 12,000 years, meaning that deposition of these light absorbing impurities is not a primary cause of
reflectivity reduction or surface melting in the dry
snow zone.
In trying to explain the apparent decline in
reflectivity, lead author Chris Polashenski, an adjunct assistant professor at Dartmouth's Thayer School of Engineering and a research geophysicist at the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory, and his colleagues analyzed dozens of
snow - pit samples from the 2012 - 2014 snowfalls across northern Greenland and compared them with samples from earlier years.
Lower
reflectivity would likely increase the
snow's melt rate because it means more sunlight gets absorbed, though that wasn't directly shown.
But if you want to mimic the
reflectivity of
snow: yes.
When
snow melts in response to warming, more sunlight can be absorbed at Earth's surface because most surfaces have a lower
reflectivity than
snow.
For U.S. farmers, changes in the
snow's
reflectivity could affect when the spring melt will occur and when meltwater will drain out.
The infrared findings indicated that UB313 has a
reflectivity, or albedo, of about 60 percent, which is similar to Pluto's and suggested that the two bodies have surfaces are made of very similar materials such as frozen methane and nitrogen
snow at a temperature of -248 °C or -418 °F.
Because a thin layer of
snow is just as reflective as a thick layer, the
reflectivity effect depends more on the seasonal distribution of snowfall than the annual average amount.
These wildfires release soot into the atmosphere, which accelerates the rate of melting of glaciers,
snow and ice it lands upon, which can lead to less
reflectivity, meaning more of the sun's heat is absorbed, leading to more global warming, which leads to even more wildfires, not to mention greater sea level rise, which is already threatening coastal areas around the world.
This is a result of dynamic N hemisphere
reflectivity from fallen
snow.
Note that if the N hemisphere
snow becomes a permanent ice pack, the extra
reflectivity provides all the «amplification» needed to explain the ice core records, as forced from incident solar energy.
Generally, in this region you may have several melt re-freeze cycles, with a blanket of new fallen
snow with a
reflectivity in the UV range of near 90 % versus something in the area of 50 % of ice within the first foot.
[ANDY REVKIN notes: Keep in mind that surface melting of Greenland
snow (and
snow on sea ice) also substantially darkens the surface and reduces its
reflectivity.]
When black carbon falls on
snow and ice, it reduces
reflectivity and speeds up melting.
Far more certainly there will be changes in surface
reflectivity; changes in
snow and ice cover, open water area, regions of desert, vegetation patterns etc..
The continent is almost completely covered in
snow year round so the south pole maintains its high
reflectivity during the summer months.
With less summer
snow falling and melting underway, northern Greenland's albedo, or
reflectivity, also decreased.
Is it not also therefore true that the polar areas of least water vapor, where a greater temperature increase from doubling of Co-2 would have the most effect, has the least W / sq - m percentage of both incoming S - W and outgoing L - W radiation due to the incident angle of incoming Sun light, the high
reflectivity of the
snow and ice, and the greatly reduced outgoing L - W radiation due to this?
Is it not also therefore true that the polar areas of least water vapor, where a greater temperature increase from doubling of Co-2 would have the most effect, has the least percentage of both incoming S - W and outgoing L - W radiation due to the incident angle of incoming Sun light, the high
reflectivity of the
snow and ice, and the greatly reduced outgoing L - W radiation due to this?
This prevents a long - lasting
snow cover with a high
reflectivity to form and protect the glacier surface.
When there's
snow surrounding your panels, it creates a vibrant white surface around them, adding to your roof's
reflectivity.
But with several factors combining to increase temperatures in Greenland and reduce the
reflectivity of the
snow and ice cover, the ice sheet is becoming less efficient at reflecting that heat energy, and as a consequence melt seasons are becoming more severe.
The high
reflectivity of
snow is what has kept Greenland so cold by redirecting incoming heat from the sun back out toward space.
Freshly fallen
snow reflects up to 84 percent of incoming sunlight, but during the warm season the
reflectivity declines as the ice grains within the snowpack change shape and size.
Snow surfaces, on the other hand, have high
reflectivity (40 — 80 percent) and so are the poorest absorbers.
As the
snow gets dirtier, its
reflectivity decreases, and it melts faster, which causes a positive feedback loop, said the study's lead author, Marco Tedesco, a glaciologist at Columbia University's Lamont - Doherty Earth Observatory in Palisades, N.Y.
Most of the greening was driven by the loss of
reflectivity, or albedo, from
snow cover.
Snow has a higher
reflectivity than ice — its surface roughness means that it scatters incoming light.
Another cause of
reflectivity reduction is the exposure of bare ice once the
snow melts.
Black carbon deposited on the Arctic
snow and ice, he says, will have only a minimal effect on its
reflectivity.
The method is based on an empirical relation between UV
reflectivity and measured
snow depth.
Earlier this year he and others pinpointed a change in albedo — a measure of the
reflectivity of
snow on the island — that suggested that melting might accelerate.
That is until the surface is covered by
snow, which being about the same
reflectivity as clouds, cancels the decrease in the incident power so that the net effect is to trap surface warmth.
This «simple physics» model becomes a bit more complex when we factor - in the «positive feedbacks» — changes in
reflectivity as
snow and ice melt; as vegetation shifts; etc..
One example: the feedback through albedo — the
reflectivity of the Earth such as can be affected by
snow cover.
But these
snow - covered caps are increasingly interrupted by pits like these, whose black mud bottoms of rocky sediment called cryoconite drastically reduces polar surface
reflectivity.
I am still not convinced that
reflectivity of water at 24 degrees would be equal to that of
snow and ice at the same angle.
These effects are magnified by
snow and ice: by reducing
snow and ice cover, warming reduces the
reflectivity of the ground and allows more solar energy to be absorbed, further increasing the warming; conversely for cooling.»
«More
snow means more snowmelt in [the] spring, resulting in larger melt ponds at that time,» which lowers the
reflectivity of the sea ice, Feltham said.
Cook explains that the darkening is the result of a melt - induced feedback that polar scientists have long documented: Upon melting and refreezing, ice crystals lose their spiky shape and grow larger and rounder, which can reduce the
reflectivity of the
snow by as much as 10 %.