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Showing posts with label radiative forcing. Show all posts
Showing posts with label radiative forcing. Show all posts

Sunday, May 25, 2014

"Evolution of the Southern Annular Mode during the past millennium," by N. J. Abram et al., Nature Clim. Change (2014); doi:10.1038/nclimate2235

Nature Climate Change (11 May 2014); doi:10.1038/nclimate2235

Evolution of the Southern Annular Mode during the past millennium

Abstract

The Southern Annular Mode (SAM) is the primary pattern of climate variability in the Southern Hemisphere1,2, influencing latitudinal rainfall distribution and temperatures from the subtropics to Antarctica. The positive summer trend in the SAM over recent decades is widely attributed to stratospheric ozone depletion2; however, the brevity of observational records from Antarctica1—one of the core zones that defines SAM variability—limits our understanding of long-term SAM behaviour. Here we reconstruct annual mean changes in the SAM since AD 1000 using, for the first time, proxy records that encompass the full mid-latitude to polar domain across the Drake Passage sector. We find that the SAM has undergone a progressive shift towards its positive phase since the 15th century, causing cooling of the main Antarctic continent at the same time that the Antarctic Peninsula has warmed. The positive trend in the SAM since ~AD 1940 is reproduced by multimodel climate simulations forced with rising greenhouse gas levels and later ozone depletion, and the long-term average SAM index is now at its highest level for at least the past 1,000 years. Reconstructed SAM trends before the 20th century are more prominent than those in radiative-forcing climate experiments and may be associated with a teleconnected response to tropical Pacific climate. Our findings imply that predictions of further greenhouse-driven increases in the SAM over the coming century3 also need to account for the possibility of opposing effects from tropical Pacific climate changes.

At a glance

Figures

left
  1. Regional temperature histories.
    Figure 1
  2. SAM reconstruction.
    Figure 2
  3. SAM data-model comparison.

Link:  http://www.nature.com/nclimate/journal/vaop/ncurrent/full/nclimate2235.html

Saturday, February 22, 2014

Amplifying feedbacks and the Arctic Heat Scream: Study finds polar albedo falling at twice expected rate, added heat equal to 25% CO2 forcing globally, 4 times human forcing locally

by Robert Schribbler, (from his blog), February 20, 2014

What’s the difference between a majestic layer of white sea ice and an ominous dark blue open ocean?
For the Arctic, it means about a 30 to 50% loss in reflectivity (or albedo). And when seasonal sea ice states are between 30% and 80% below 1979 measures (depending on the method used to gauge remaining sea ice and relative time of year), that means very, very concerning additional heating impacts to an already dangerous human-caused warming.
Arctic Ocean September 1, 2012
(A dark and mostly ice-free Arctic Ocean beneath a tempestuous swirl of clouds on September 1, 2012, a time when sea ice coverage had declined to an area roughly equal to the land mass of Greenland. Image source: Lance-Modis/NASA AQUA.)
How concerning, however, remained somewhat unclear until recently.
In the past, idealized climate simulations and physical model runs had produced about a 2% overall loss in Arctic Albedo based on observed sea ice losses. This decline, though minor sounding, was enough, on its own, to add a little more than a 10% amplifying feedback to the, already powerful, human atmospheric CO2 forcing during recent years. Such an addition was already cause for serious concern and with sea ice totals continuing to fall rapidly, speculation abounded that just this single mechanism could severely tip the scales toward a more rapid warming.
But, as has been the case with a number of Arctic model simulations related to sea ice, these computer projections failed to measure up to direct observation. In this case, direct satellite observation. The situation is, therefore, once more, worse than expected.
A new study produced by University of San Diego Scientists now shows that loss of albedo for the Arctic Ocean due to rapidly declining sea ice was 4% during the period of 1979 to 2011. This amazing loss of reflectivity, on its own, created a powerful enough heat trap to produce an amplifying feedback to human warming equal to 25% of the heat captured by CO2 emitted during that time — when spread out over the entire globe. A feedback double what we were led to expect from climate model simulations. Perhaps more importantly, the local feedback in the Arctic — a region containing gigatons and gigatons of additional carbon waiting to be released during a period of rapid warming — is not 25% greater, but 4 times greater than the total human CO2 forcing since the start of the industrial revolution.
It is important to step back for a moment and consider the implication of this new information. If you took all the emissions from cars in the world, all the buses, all the aircraft, all the land use CO2 emissions, all the agriculture, and all the amazing extra atmospheric heat capture that an emission equal to 160 times that of all the volcanoes on Earth would entail and added it all together, just one insult to our natural world in the form of Arctic sea ice loss has now equaled a 25% addition to that amazing total. Or just add enough extra heat equal to 40 times the CO2 emitted by Earth’s volcanoes (for a total of x200). And the burden of all that extra heat is directly over a region of the world that contains a number of very large ice sheets which, if rapidly warmed, result in catastrophic land change and sea level rise, and a number of outrageously enormous carbon deposits that, if rapidly warmed and released make the current albedo loss feedback look like child’s play.
In short, the game just got a lot uglier. Such an increase is a very big deal and will have strong implications going forward that affect the overall pace of human caused warming, the pace of Earth and Earth Systems changes, and the degree to which we might contain ultimate temperature rises under a scenario of full mitigation.
From the study contents:
We find that the Arctic planetary albedo has decreased from 0.52 to 0.48 between 1979 and 2011, corresponding to an additional 6.4 ± 0.9 W/m2 of solar energy input into the Arctic Ocean region since 1979. Averaged over the globe, this albedo decrease corresponds to a forcing that is 25% as large as that due to the change in CO2 during this period, considerably larger than expectations from models and other less direct recent estimates.
It is worth noting that the period measured by the study did not include the unprecedented sea ice area, extent and volume losses seen during 2012. So it is likely that albedo loss and related Arctic additions to human warming are somewhat worse than even this study suggests. It is also worth noting that the total additional radiative forcing from all human CO2 emissions since the industrial age began is estimated to be about 1.5 W/m2.
No Way Out Through Increasing Cloud Cover
The study also found that:
Changes in cloudiness appear to play a negligible role in observed Arctic darkening, thus reducing the possibility of Arctic cloud albedo feedbacks mitigating future Arctic warming.
Though seemingly innocuous, this statement is a death knell for one proposed method of Geo-engineering — namely cloud generation via spray ships deployed throughout the Arctic basin. The proposal had suggested that numerous ships could be spread about the Arctic during summer. These ships would be equipped with large machines that would dip into the ocean and spray sea water into the atmosphere to form clouds. The notion was that this would somehow increase albedo. Proponents of the plan neglected to provide scientific evidence that such a scheme would actually work or wouldn’t make matters worse by increasing atmospheric water vapor content — a substance with known heat-trapping properties.
Arctic Cloud Ship
(Conceptual drawing of an Arctic cloud-producing ship. Image source: Geo-engineering Watch.)
Others had hoped a cloudier Arctic would take care of itself by producing a negative feedback naturally. Numerous studies have found that an Arctic with less sea ice is a much stormier, cloudier Arctic. And a number of specialists and enthusiasts hinted that the extra clouds would provide some cooling.
Not so according to the San Diego study. And this makes sense as clouds, while reflective of direct radiation contain large quantities of heat-trapping water vapor and tend to also trap long-wave radiation — which is more prevalent in the Arctic due to low angle of light or extended periods of darkness.
Extraordinarily Rapid Arctic Amplification
Despite the various hollow conjectures and reassurances, what we have seen over the past seven years or so is an extraordinarily rapid amplification of heat within the Arctic. Arctic sea ice continues its death spiral, hitting new record lows at various times at least once a year. Heat keeps funneling into the Arctic, resulting in heatwaves that bring 90 degree temperatures to Arctic Ocean shores during summer and unprecedented Alaskan melts during January. We have seen freakish fires in regions previously covered by tundra. Fires that are the size of states in the Yakutia region of Russia, Alaska and Canada. Fires in Arctic Norway during winter time. And we see periods during winter when sea ice goes through extended stretches of melt, as we did just last week in the region of Svalbard.
One need only look at the temperature anomaly map for the last 30 days to know that something is dreadfully, dreadfully wrong with the Arctic:
30 day anomaly
(Global temperature anomaly vs the, already warmer than normal, 1981 to 2010 baseline. Image source: NOAA/Earth Systems Research Laboratory.)
And one need only begin to add the number of amplifying feedbacks in the Arctic together to start to understand how much trouble we’ve set for ourselves:
  1. Arctic albedo decrease due to sea ice loss.
  2. Arctic CO2 release due to thawing tundra.
  3. Arctic methane release due to thawing land tundra.
  4. Arctic methane release due to thawing subsea tundra and venting seabed methane.
  5. Arctic albedo loss due to black carbon deposition.
  6. Arctic albedo loss due to land vegetation changes.
  7. Warming Arctic seas due to runoff from warming lands.
  8. Arctic albedo decrease due to land snow and ice sheet melt.
  9. South to north heat transfer to the Arctic due to a weakening, retreating Jet Stream and increasing prevalence of high amplitude atmospheric waves.
We all know, intuitively what an amplifying feedback sounds like. Just hold a microphone closer to a speaker and listen to the rising wail of sound. And it is becoming ever more obvious with each passing day, with each new report that the Arctic is simply screaming to us.
How deaf are we? How deaf are those of us who continue to fail to listen?

Wednesday, January 29, 2014

Asian pollution climatically modulates mid-latitude cyclones following hierarchical modelling and observational analysis

Nature Communications, 5, article number 3098 (21 January 2014); doi: 10.1038/ncomms4098

Asian pollution climatically modulates mid-latitude cyclones following hierarchical modelling and observational analysis


Abstract


Increasing levels of anthropogenic aerosols in Asia have raised considerable concern regarding its potential impact on the global atmosphere, but the magnitude of the associated climate forcing remains to be quantified. Here, using a novel hierarchical modelling approach and observational analysis, we demonstrate modulated mid-latitude cyclones by Asian pollution over the past three decades. Regional and seasonal simulations using a cloud-resolving model show that Asian pollution invigorates winter cyclones over the northwest Pacific, increasing precipitation by 7% and net cloud radiative forcing by 1.0 W m−2 at the top of the atmosphere and by 1.7 W m−2 at the Earth’s surface. A global climate model incorporating the diabatic heating anomalies from Asian pollution produces a 9% enhanced transient eddy meridional heat flux and reconciles a decadal variation of mid-latitude cyclones derived from the reanalysis data. Our results unambiguously reveal a large impact of the Asian pollutant outflows on the global general circulation and climate.

http://www.nature.com/ncomms/2014/140121/ncomms4098/full/ncomms4098.html

Wednesday, December 25, 2013

"Small influence of solar variability on climate over the past millennium, by A.P. Schurer, S.F.B. Tett & G.C. Hegerl, Nature Geosci. (2013); doi: 10.1038/ngeo2040

Nature Geoscience, (22 December 2013); doi: 10.1038/ngeo2040

Small influence of solar variability on climate over the past millennium

Abstract

The climate of the past millennium was marked by substantial decadal and centennial scale variability in the Northern Hemisphere1. Low solar activity has been linked to cooling during the Little Ice Age (AD1450–1850; ref.  1) and there may have been solar forcing of regional warmth during the Medieval Climate Anomaly2345 (AD950–1250; ref. 1). The amplitude of the associated changes is, however, poorly constrained56, with estimates of solar forcing spanning almost an order of magnitude789. Numerical simulations tentatively indicate that a small amplitude best agrees with available temperature reconstructions10111213. Here we compare the climatic fingerprints of high and low solar forcing derived from model simulations with an ensemble of surface-air-temperature reconstructions14 for the past millennium. Our methodology15 also accounts for internal climate variability and other external drivers such as volcanic eruptions, as well as uncertainties in the proxy reconstructions and model output. We find that neither a high magnitude of solar forcing nor a strong climate effect of that forcing agree with the temperature reconstructions. We instead conclude that solar forcing probably had a minor effect on Northern Hemisphere climate over the past 1,000 years, while, volcanic eruptions and changes in greenhouse gas concentrations seem to be the most important influence over this period.
Link:  http://www.nature.com/ngeo/journal/vaop/ncurrent/full/ngeo2040.html

Thursday, May 9, 2013

"Detecting human influence on extreme temperatures in China," by Qiuzi Han Wen et al., GRL (2013); doi:10.1002/grl.50285

Geophysical Research Letters, 40(6) (28 March 2013) 1171-1176; doi:10.1002/grl.50285

Detecting human influence on extreme temperatures in China

  1. Qiuzi Han Wen1,*
  2. Xuebin Zhang2
  3. Ying Xu3, and 
  4. Bin Wang1
Abstract


This study compares observed and model-simulated spatiotemporal patterns of changes in Chinese extreme temperatures during 1961–2007 using an optimal detection method. Four extreme indices, namely annual maximum daily maximum (TXx) and daily minimum (TNx) temperatures and annual minimum daily maximum (TXn) and daily minimum (TNn) temperatures, are studied. Model simulations are conducted with the CanESM2, which include six 5-member ensembles under different historical forcings, i.e., four individual external forcings (greenhouse gases, anthropogenic aerosol, land use change, and solar irradiance), combined effect of natural forcings (solar irradiance and volcanic activity), and combined effect of all external forcings (both natural and anthropogenic forcings). We find that anthropogenic influence is clearly detectable in extreme temperatures over China. Additionally, anthropogenic forcing can also be separated from natural forcing in two-signal analyses. The influence of natural forcings cannot be detected in any analysis. Moreover, there are indications that the effects of greenhouse gases and/or land use change may be separated from other anthropogenic forcings in warm extremes TXx and TNx in joint two-signal analyses. These results suggest that further investigations of roles of individual anthropogenic forcing are justified, particularly in studies of extremely warm temperatures over China.

http://0-onlinelibrary.wiley.com.library.hct.ac.ae/doi/10.1002/grl.50285/abstract

Open-access pdf file:  http://0-onlinelibrary.wiley.com.library.hct.ac.ae/doi/10.1002/grl.50285/pdf

Thursday, March 28, 2013

Hansen, Kharecha & Sato, ERL (2013), Climate forcing growth rates: doubling down on our Faustian bargain

Environmental Research Letters, 7 (2012) 044035.

Perspective

Rahmstorf et al. 's (2012) conclusion that observed climate change is comparable to projections, and in some cases exceeds projections, allows further inferences if we can quantify changing climate forcings and compare those with projections. The largest climate forcing is caused by well-mixed, long-lived greenhouse gases. Here we illustrate trends of these gases and their climate forcings, and we discuss implications. We focus on quantities that are accurately measured, and we include comparison with fixed scenarios, which helps reduce common misimpressions about how climate forcings are changing.
Annual fossil fuel CO2 emissions have shot up in the past decade at about 3%/yr, double the rate of the prior three decades (Figure 1). The growth rate falls above the range of the IPCC (2001) 'Marker' scenarios, although emissions are still within the entire range considered by the IPCC SRES (2000). The surge in emissions is due to increased coal use (blue curve in Figure 1), which now accounts for more than 40% of fossil fuel CO2 emissions.

Figure 1.
Figure 1. CO2 annual emissions from fossil fuel use and cement manufacture, an update of Figure 16 of Hansen (2003) using data of British Petroleum (BP 2012) concatenated with data of Boden et al. (2012).
The resulting annual increase of atmospheric CO2 (12-month running mean) has grown from less than 1 ppm/yr in the early 1960s to an average ~2 ppm/yr in the past decade (Figure 2). Although CO2 measurements were not made at sufficient locations prior to the early 1980s to calculate the global mean change, the close match of global and Mauna Loa data for later years suggests that Mauna Loa data provide a good approximation of global change (Figure 2), thus allowing a useful estimate of annual global change beginning with the initiation of Mauna Loa measurements in 1958 by Keeling et al. (1973).

Figure 2.
Figure 2. Annual increase of CO2 based on data from the NOAA Earth System Research Laboratory (ESRL 2012). CO2 change and global temperature change are 12-month running means of differences for the same month of consecutive years. Nino index (Nino3.4 area) is 12-month running mean. Both temperature indices use data from Hansen et al. (2010). Annual mean CO2 amount in 1958 was 315 ppm (Mauna Loa) and in 2012 was 394 ppm (Mauna Loa) and 393 ppm (Global).
Interannual variability of CO2 growth is correlated with ENSO (El NinoSouthern Oscillation) variations of tropical temperatures (Figure 2). Ocean–atmosphere CO2 exchange is affected by ENSO (Chavez et al. 1999), but ENSO seems to have a greater impact on atmospheric CO2 via the terrestrial carbon cycle through effects on the water cycle, temperature, and fire, as discussed in a large body of literature (referenced, e.g., by Schwalm et al. 2011). In addition, volcanoes, such as the 1991 Mount Pinatubo eruption, slow the increase of atmospheric CO2 (Rothenberg et al. 2012), at least in part because photosynthesis is enhanced by the increased proportion of diffuse sunlight (Gu et al. 2003, Mercado et al. 2009). Watson (1997) suggests that volcanic dust deposited on the ocean surface may also contribute to CO2 uptake by increasing ocean productivity.
An important question is whether ocean and terrestrial carbon sinks will tend to saturate as human-made CO2 emissions continue. Piao et al. (2008) and Zhao and Running (2010) suggest that there already may be a reduction of terrestrial carbon uptake, while Le Quéré et al. (2007) and Schuster and Watson (2007) find evidence of decreased carbon uptake in the Southern Ocean and North Atlantic Ocean, respectively. However, others (Knorr 2009, Sarmiento et al. 2010, Ballantyne et al. 2012) either cast doubt on the reality of a reduced uptake strength or find evidence for increased uptake.
An informative presentation of CO2 observations is the ratio of annual CO2 increase in the air divided by annual fossil fuel CO2emissions (Keeling et al. 1973), the 'airborne fraction' (Figure 3, right scale). An alternative definition of airborne fraction includes in the denominator of this ratio an estimated net anthropogenic CO2 source from changes in land use, but this latter term is much more uncertain than the two terms involved in the Keeling et al. (1973) definition. For example, analysis by Harris et al. (2012) reveals a range as high as a factor of 2–4 in estimates of recent land use emissions; see also the discussion by Sarmiento et al. (2010). However, note that the airborne fraction becomes smaller when estimated land use emissions are included, with the uptake fraction (one minus airborne fraction) typically greater than 0.5.

Figure 3.
Figure 3. Fossil fuel CO2 emissions (left scale) and airborne fraction, i.e., the ratio of observed atmospheric CO2 increase to fossil fuel CO2 emissions. Final three points are 5-, 3- and 1-year means.
The simple Keeling airborne fraction, clearly, is not increasing (Figure 3). Thus the net ocean plus terrestrial sink for carbon emissions has increased by a factor of 3–4 since 1958, accommodating the emissions increase by that factor.
Remarkably, and we will argue importantly, the airborne fraction has declined since 2000 (Figure 3) during a period without any large volcanic eruptions. The 7-year running mean of the airborne fraction had remained close to 60% up to 2000, except for the period affected by Pinatubo. The airborne fraction is affected by factors other than the efficiency of carbon sinks, most notably by changes in the rate of fossil fuel emissions (Gloor et al. 2010). However, it is the dependence of the airborne fraction on fossil fuel emission rate that makes the post-2000 downturn of the airborne fraction particularly striking. The change of emission rate in 2000 from 1.5%  to 3.1% per year (Figure 1), other things being equal, would have caused a sharp increase of the airborne fraction (the simple reason being that a rapid source increase provides less time for carbon to be moved downward out of the ocean's upper layers).
A decrease in land use emissions during the past decade (Harris et al. 2012) could contribute to the decreasing airborne fraction in Figure 3, although Malhi (2010) presents evidence that tropical forest deforestation and regrowth are approximately in balance, within uncertainties. Land use change can be only a partial explanation for the decrease of the airborne fraction; something more than land use change seems to be occurring.
We suggest that the huge post-2000 increase of uptake by the carbon sinks implied by Figure 3 is related to the simultaneous sharp increase in coal use (Figure 1). Increased coal use occurred primarily in China and India (Boden et al. 2012; BP 2012; see graphs at www.columbia.edu/~mhs119/Emissions/Emis_moreFigs/). Satellite radiance measurements for July–December, months when desert dust does not dominate aerosol amount, yield an increase of aerosol optical depth in East Asia of about 4%/yr during 2000–2006 (van Donkelaar et al. 2008). Associated gaseous and particulate emissions increased rapidly after 2000 in China and India (Lu et al. 2011, Tian et al. 2010). Some decrease of the sulfur component of emissions occurred in China after 2006 as wide application of flue-gas desulfurization began to be initiated (Lu et al. 2010), but this was largely offset by continuing emission increases from India (Lu et al. 2011).
We suggest that the surge of fossil fuel use, mainly coal, since 2000 is a basic cause of the large increase of carbon uptake by the combined terrestrial and ocean carbon sinks. One mechanism by which fossil fuel emissions increase carbon uptake is by fertilizing the biosphere via provision of nutrients essential for tissue building, especially nitrogen, which plays a critical role in controlling net primary productivity and is limited in many ecosystems (Gruber & Galloway 2008). Modeling (e.g., Thornton et al. 2009) and field studies (Magnani et al. 2007) confirm a major role of nitrogen deposition, working in concert with CO2 fertilization, in causing a large increase in net primary productivity of temperate and boreal forests. Sulfate aerosols from coal burning also might increase carbon uptake by increasing the proportion of diffuse insolation, as noted above for Pinatubo aerosols, even though the total solar radiation reaching the surface is reduced.
Thus we see the decreased CO2 airborne fraction since 2000 as sharing some of the same causes as the decreased airborne fraction after the Pinatubo eruption (Figure 3). CO2 fertilization is likely the major effect, as a plausible addition of 5 Tg N per year from fossil fuels and net ecosystem productivity of 200 kg C per kg N (Magnani et al. 2007, 2008) yields an annual carbon drawdown of 1 Gt C per year, which is of the order of what is needed to explain the post-2000 anomaly in airborne CO2. However, an aerosol-induced increase of diffuse radiation might also contribute. Although tropospheric aerosol properties are not accurately monitored, there are suggestions of an upward trend of stratospheric background aerosols since 2000 (Hofmann et al. 2009, Solomon et al. 2011), which could be a consequence of more tropospheric aerosols at low latitudes where injection of tropospheric air into the stratosphere occurs (Holton et al. 1995). We discuss climate implications of the reduced CO2 airborne fraction after presenting data for other greenhouse gases.
Atmospheric CH4 is increasing more slowly than in IPCC scenarios (Figure 4), which were defined more than a decade ago (IPCC 2001). However, after remaining nearly constant for several years, CH4 has increased during the past 5 years, pushing slightly above the level that was envisaged in the Alternative Scenario of Hansen et al. (2000). Reduction of CH4, besides slowdown in COgrowth in the 21st century and a decline of CO2 in the 22nd century, is a principal requirement to achieve a low climate forcing that stabilizes climate, in part because CH4 also affects tropospheric ozone and stratospheric water vapor. The Alternative Scenario, defined in detail by Hansen and Sato (2004), keeps maximum global warming at ~1.5 °C relative to 1880–1920, under the assumption that fast-feedback climate sensitivity is ~3 °C for doubled CO2 (Hansen et al. 2007). The Alternative Scenario allows CO2 to reach 475 ppm in 2100 before declining slowly; this scenario assumes that reductions of non-CO2 greenhouse gases and black carbon aerosols can be achieved sufficient to balance the warming effect of likely future decreases of reflective aerosols.

Figure 4.
Figure 4. Observed atmospheric CH4 amount and scenarios for the 21st century. Alternative scenario (Hansen et al. 2000, Hansen & Sato 2004) yields maximum global warming ~1.5 °C above 1880–1920. Other scenarios are from IPCC (2001). Forcing on right hand scale is adjusted forcing, Fa, relative to values in 2000 (Hansen et al. 2007).
There are anthropogenic sources of CH4 that potentially could be reduced; indeed, the leveling off of CH4 amount during the past 20 years seems to have been caused by decreased venting in oil fields (Simpson et al. 2012), but the feasibility of overall CH4 reduction also depends on limiting global warming itself, because of the potential for amplifying climate-CH4 feedbacks (Archer et al. 2009, Koven et al. 2011). Furthermore, reduction of atmospheric CH4 might become problematic if unconventional mining of gas, such as 'hydro-fracking', expands widely (Cipolla 2009), as discussed further below.
The growth rate for the total climate forcing by well-mixed greenhouse gases has remained below the peak values reached in the 1970s and early 1980s, has been relatively stable for about 20 years, and is falling below IPCC (2001) scenarios (Figure 5). However, the greenhouse gas forcing is growing faster than in the Alternative Scenario. MPTGs and OTGs in Figure 5 are Montreal Protocol Trace Gases and Other Trace Gases (Hansen & Sato 2004).

Figure 5.
Figure 5. Five-year mean of the growth rate of climate forcing by well-mixed greenhouse gases, an update of Figure 4 of Hansen and Sato (2004). Forcing calculations use equations of Hansen et al. (2000). The moderate uncertainties in radiative calculations affect the scenarios and actual greenhouse gas results equally and thus do not alter the conclusion that the actual forcing falls below that of the IPCC scenarios.
If greenhouse gases were the only climate forcing, we would be tempted to infer from Rahmstorf's conclusion (that actual climate change has exceeded IPCC projections) and our conclusion (that actual greenhouse gas forcings are slightly smaller than IPCC scenarios) that actual climate sensitivity is on the high side of what has generally been assumed. Although that may be a valid inference, the evidence is weakened by the fact that other climate forcings are not negligible in comparison to the greenhouse gases and must be accounted for.
Natural forcings, by changing solar irradiance and volcanic aerosols, are well-measured since the late 1970s and included in most IPCC (2007) climate simulations. The difficulty is human-made aerosols. Aerosols are readily detected in satellite observations, but determination of their climate forcing requires accurate knowledge of changes in aerosol amount, size distribution, absorption and vertical distribution on a global basis—as well as simultaneous data on changes in cloud properties to allow inference of the indirect aerosol forcing via induced cloud changes. Unfortunately, the first satellite mission capable of measuring the needed aerosol characteristics (Aerosol Polarimetry Sensor on the Glory satellite (Mishchenko et al. 2007)) suffered a launch failure, and as yet there are no concrete plans for a replacement mission.
The human-made aerosol climate forcing thus remains uncertain. IPCC (2007) concludes that aerosols are a negative (cooling) forcing, probably between -0.5 and -2.5 W m-2. Hansen et al. (2011), based mainly on analysis of Earth's energy imbalance, derive an aerosol forcing -1.6 ± 0.3 W m-2, consistent with an analysis of Murphy et al. (2009) that suggests an aerosol forcing about -1.5 W m-2 (see discussion in Hansen et al. 2011). This large negative aerosol forcing reduces the net climate forcing of the past century by about half (IPCC 2007; Figure 1 of Hansen et al. 2011). Coincidentally, this leaves net climate forcing comparable to the CO2 forcing alone.
Reduction of the net human-made climate forcing by aerosols has been described as a 'Faustian bargain' (Hansen & Lacis 1990, Hansen 2009), because the aerosols constitute deleterious particulate air pollution. Reduction of the net climate forcing by half will continue only if we allow air pollution to build up to greater and greater amounts. More likely, humanity will demand and achieve a reduction of particulate air pollution, whereupon, because the CO2 from fossil fuel burning remains in the surface climate system for millennia, the 'devil's payment' will be extracted from humanity via increased global warming.
So is the new data we present here good news or bad news, and how does it alter the 'Faustian bargain'? At first glance there seems to be some good news. First, if our interpretation of the data is correct, the surge of fossil fuel emissions, especially from coal burning, along with the increasing atmospheric CO2 level is 'fertilizing' the biosphere, and thus limiting the growth of atmospheric CO2. Also, despite the absence of accurate global aerosol measurements, it seems that the aerosol cooling effect is probably increasing based on evidence of aerosol increases in the Far East and increasing 'background' stratospheric aerosols.
Both effects work to limit global warming and thus help explain why the rate of global warming seems to be less this decade than it has been during the prior quarter century. This data interpretation also helps explain why multiple warnings that some carbon sinks are 'drying up' and could even become carbon sources, e.g., boreal forests infested by pine bark beetles (Kurz et al. 2008) and the Amazon rain forest suffering from drought (Lewis et al. 2011), have not produced an obvious impact on atmospheric CO2.
However, increased CO2 uptake does not necessarily mean that the biosphere is healthier or that the increased carbon uptake will continue indefinitely (Matson et al. 2002, Galloway et al. 2002, Heimann & Reichstein 2008, Gruber & Galloway 2008). Nor does it change the basic facts about the potential magnitude of the fossil fuel carbon source (Figure 6) and the long lifetime of the CO2 in the surface carbon reservoirs (atmosphere, ocean, soil, biosphere) once the fossil fuels are burned (Archer 2005). Fertilization of the biosphere affects the distribution of the fossil fuel carbon among these reservoirs, at least on the short run, but it does not alter the fact that the fossil carbon will remain in these reservoirs for millennia.

Figure 6.
Figure 6. Fossil fuel CO2 emissions and carbon content (1 ppm atmospheric CO2~2.12 GtC). Historical emissions are from Boden et al. (2012). Estimated reserves and potentially recoverable resources are based on energy content values of Energy Information Administration (EIA 2011), German Advisory Council (GAC 2011), and Global Energy Assessment (GEA 2012). We convert energy content to carbon content using emission factors of Table 4.2 of IPCC (2007) for coal, gas, and conventional oil, and, following IPCC, we use an emission factor of unconventional oil the same as that for coal.
Humanity, so far, has burned only a small portion (purple area in Figure 6) of total fossil fuel reserves and resources. Yet deleterious effects of warming are apparent (IPCC 2007), even though only about half of the warming due to gases now in the air has appeared, the remainder still 'in the pipeline' due to the inertia of the climate system (Hansen et al. 2011). Already it seems difficult to avoid passing the 'guardrail' of no more than 2 °C global warming that was agreed in the Copenhagen Accord of the United Nations Framework Convention on Climate Change (UNFCCC 2010). And Hansen et al. (2008), based primarily on paleoclimate data and evidence of deleterious climate impacts already at 385 ppm CO2, concluded that an appropriate initial target for CO2 was 350 ppm, which implied a global temperature limit, relative to 1880–1920 of about 1 °C. What is clear is that most of the remaining fossil fuels must be left in the ground if we are to avoid dangerous human-made interference with climate.
The principal implication of our present analysis probably relates to the Faustian bargain. Increased short-term masking of greenhouse gas warming by fossil fuel particulate and nitrogen pollution represents a 'doubling down' of the Faustian bargain, an increase in the stakes. The more we allow the Faustian debt to build, the more unmanageable the eventual consequences will be. Yet globally there are plans to build more than 1,000 coal-fired power plants (Yang & Cui 2012) and plans to develop some of the dirtiest oil sources on the planet (EIA 2011). These plans should be vigorously resisted. We are already in a deep hole—it is time to stop digging.

Saturday, July 21, 2012

Jason Box: Latest Greenland Ice Sheet Reflectivity

Latest Greenland ice sheet reflectivity 


These albedo visualizations are discussed here and here.


[Readers, be sure to see the comments at the end.]


About the Data
Surface albedo retrievals from the NASA Terra platform MODIS sensor MOD10A1 product beginning 5 March 2000 are available from the National Snow and Ice Data Center (NSIDC) (Hall et al., 2011). The daily MOD10A1 product is chosen instead of the MODIS MOD43 or MCD43 8-day products to increase temporal resolution. Release version 005 data are compiled over Greenland spanning March 2000 to October 2011. Surface albedo is calculated using the first seven visible and near-infrared MODIS bands (Klein & Stroeve, 2002; Klein & Barnett, 2003). The MOD10A1 product contains snow extent, snow albedo, fractional snow cover, and quality assessment data at 500m resolution, gridded in a sinusoidal map projection. The data are interpolated to a 5 km Equal Area Scalable Earth (EASE) grid using the NSIDC regrid utility April and after September, there are few valid data, especially in Northern Greenland because of the extremely low solar incidence angles. The accuracy of retrieving albedo from satellite or ground-based instruments declines as the solar zenith angle (SZA) increases, especially beyond 75 degrees, resulting in many instances of albedo values that exceed the expected maximum clear sky snow albedo of 0.84 measured byKonzelmann and Ohmura (1995). Here, we limit problematic data by focusing on the June–August period when SZA is minimal.







Stroeve et al. (2006) concluded that the MOD10A1 data product captured the natural seasonal cycle in albedo, but exhibited significantly more temporal variability than recorded by ground observations. We now understand that a dominant component of this assessed error is the failure of the MODIS data product to completely remove cloud effects. Inspection of the raw MOD10A1 images reveal an abundance of residual cloud artifacts (shadows, contrails, thin clouds, cloud edges) in the albedo product, presumably because the similar spectral properties between snow and some clouds results in obvious cloud structures. Another problem consists of spuriously low values, for example below 0.4 in the accumulation area where albedo is not observed by pyranometers at the surface to drop below 0.7, seen as linear stripe artifacts in the imagery. Because both the cloud shadows and stripes introduce abrupt daily departures from the actual albedo time series, it is possible to reject them using a multi-day sample. Thus, on a pixel-by-pixel basis, 11-day running statistics are used to identify and reject values that exceed 2 standard deviations (2 sigma) from an 11-day average. To prevent rejecting potentially valid cases data within 0.04 of the median are not rejected. The 11-day median is taken to represent each pixel in the daily data and has a smoothing effect on the albedo time series. June–August (JJA or summer) seasonal averages are generated from monthly averages of the daily filtered and smoothed data. Redundant data from the Aqua satellite MODIS instrument are not used in this study for simplicity, to reduce computational burdens, and given an Aqua MODIS instrument near infrared (channel 6) failure (Hall et al., 2008) that reduces the cloud detection capability. (http://nsidc.org/data/modis/ms2gt/). The interpolation method employs a trend surface through the surrounding four 500-m grid cell values closest to the grid points. The resulting 5-km spatial resolution permits resolving the ablation area within the goals of this study. Major gaps in the time series occur July 29–August 18, 2000, and June 14–July 7, 2001. The frequency and quality of spaceborne albedo retrievals decreases in non-summer months as the amount of solar irradiance and solar incidence angles decrease. Also, in non-melting periods before


Works Cited
  • Box, J. E., Fettweis, X., Stroeve, J. C., Tedesco, M., Hall, D. K., and Steffen, K.: Greenland ice sheet albedo feedback: thermodynamics and atmospheric drivers, The Cryosphere Discuss., 6, 593-634, doi:10.5194/tcd-6-593-2012, 2012.
  • Hall, D. K., J. E. Box, K. Casey, S. J. Hook, C. A. Shuman, K. Steffen, Comparison of satellite-derived and in-situ observations of ice and snow surface temperatures over Greenland, Remote Sensing of Environment, 2008.
  • Hall, D. K., Riggs, G. A., and Salomonson, V. V.: MODIS/Terra Snow Cover Daily L3 Global 500m Grid V004, January to March 2003, Digital media, updated daily. National Snow and Ice Data Center, Boulder, CO, USA, 2011.
  • Klein, A. G. and Barnett, A. C.: Validation of daily MODIS snow cover maps of the Upper  Rio Grande River Basin for the 2000–2001 snow year, Remote Sens. Environ., 86(2), 162–176, 2003.
  • Klein, A. G. and Stroeve, J. C.: Development and validation of a snow albedo algorithm for the MODIS instrument, edited by: Winther, J. G. S. R., Ann. Glaciol., 34, 45–52, 2002.
  • Konzelmann, T. and Ohmura, A.: Radiative fluxes and their impact on the energy-balance of the Greenland ice-sheet, J. Glaciol., 41(139), 490–502, 1995.

3 Responses to “Latest Greenland ice sheet reflectivity”

  1. Greenland melt record likely Says:
    [...] the latest “noodle plot”2 (regularly updated here) for the ice sheet between elevations of 2,000 and 2,500 metres. 2012 (the black line) is well down [...]
  2. Rob Dekker Says:
    Dr. Box, thank you for showing the disturbing change in albedo at Greenland this year.
    Quick question with possibly significant consequences :
    We know that Greenland receives some 250–300 W/m^2 insolation ‘on the ice’ during June/July.
    With a change in albedo of 3 % to (as your recent numbers show) to 6 %, how much ice will melt over the entire ice sheet due to this change in albedo alone ?
    If we do the simple physics calculations of increased solar absorption of 3-6% albedo change, we get to a ice loss anomaly of some 7–14 cm or, over the entire 1.7 million km^2 ice sheet, an additional loss of 120–240 Gton per month (that the surface temps remain close to freezing on Greenland) due to this albedo anomaly alone.
    Please tell me that these calculations are not right, because if they are, we should be very concerned…
  3. Jason Box Says:
    Rob, I like this kind of calculation, do something similar in the attached, find the extra energy erodes 14 cm of the ‘cold content’ of the upper snow layers across the accumulation area… Box, J. E., Fettweis, X., Stroeve, J. C., Tedesco, M., Hall, D. K., and Steffen, K.: Greenland ice sheet albedo feedback: thermodynamics and atmospheric drivers, The Cryosphere Discuss., 6, 593-634, doi:10.5194/tcd-6-593-2012, 2012. DOWNLOAD LATEST, ACCEPTED VERSION