Global Data Hound

All about global data sets

Global Data Hound header image 1

Disagreement Gives Way to Progress at COP17

February 23rd, 2012 · Tweets-@isciences on Twitter

Nations reach consensus on the future of the Kyoto Protocol in Durban

Image courtesy of COP17, UNFCCC

The 17th Conference of Parties (COP17) culminated in the extension of the Kyoto Protocol for a 2nd commitment period of either five or eight years (for nations still bound by it) and the expectation that Kyoto will end once a new treaty has been ratified and implemented, either by Dec. 31, 2017 or 2020.

Agreement at COP 17, held in Durban, South Africa in December 2011, was not easily achieved. When the Durban talks first opened, the future of the Kyoto Protocol, the UN process, and the Green Climate Fund were at stake. The outcome of COP17 signals a welcome shift in the general direction of the effort which, leading up to the talks, had been characterized by inaction, disagreement and lack of optimism.
In Kyoto and Beyond: Report on Durban COP17, the 6th installment in ISciences’ ongoing series on multilateral agreements related to climate change, we discuss the evolving international climate treaty process which began with the United Nations Framework Convention on Climate Change (UNFCCC) and continues with the Kyoto Protocol’s extension for a 2nd commitment period.

HIGH STAKES AT DURBAN
Delegates from 194 nations gathered at Durban with lofty goals. Aside from determining the future of the Kyoto Protocol and its successor treaty, their agenda included discussing progress, implementation and funding of mechanisms created at COP16 (particularly the Green Climate Fund); reviewing country commitments to global financing, emissions reductions, development and transfer of green technology; and addressing the financial/technological needs of Least Developed Countries (LDCs) and methods for adapting to current effects of climate change. The agenda was both ambitious and challenging.
As was the case in previous Conference of Parties leading up to the Durban talks, disagreement characterized the early stages of the talks. Divisive opinions led to a temporary stop in the proceedings, and talks did not resume until nearly a day and a half later. Nations rallied together and in the final hours of COP 17, producing an agreement dubbed The Durban Platform.

THE DURBAN PLATFORM

thermometer

The Durban Platform for Enhanced Action, a road map towards a new treaty to follow Kyoto, establishes the principle of common responsibility among nations. Whether developed or developing, all nations will have to negotiate a legally-binding treaty to reduce carbon emissions by 2015.
The Platform establishes a goal of keeping global temperature increase to 1.5°C or 2.0°C and notes that current commitments are insufficient to reach that goal. Unlike the Kyoto Protocol, the Platform will require all countries to cut emissions. This is a significant departure from the previous UNFCCC approach to the climate change challenge.

CLOSING THE GAP BETWEEN NATIONS

maldives

Although differences of opinion on major issues between developed and developing countries were evident at COP17, nations were able to acknowledge for the first time that both developed and developing countries must accept responsibility for the impacts of climate change. The outcome of the Durban talks was especially significant for Least Developed Countries (LCDs) and Small Island Developing States (SIDS), many of whom are already experiencing the effects of climate change, but have previously lacked the clout to enact change.
Although COP17’s outcome falls short of what is required to have even a 50/50 chance of capping global temperature rise at 2 degrees, the Durban Platform represents a significant departure from prior treaties. However, confidence in the multilateral climate treaty process remains low and progress remains slow—and the world continues on a pathway to warming of over 3° C.
To learn more about UNFCCC’s progress at Durban, download ISciences’ Kyoto and Beyond: Report on Durban COP 17 by clicking on the “2012: Report on Durban” link.

→ No CommentsTags:·······

Road to Durban: The Role of Emerging Science

November 16th, 2011 · Tweets-@isciences on Twitter

Emerging scientific knowledge in anticipation of Durban’s COP17

AUTHOR: Richard Cicone, President, ISCIENCES, L.L.C.

As has been our practice since the 2009 United Nations Framework Convention on Climate Change (UNFCCC) Conference of the Parties (COP) at Copenhagen, we release Road to Durban , which provides a snapshot of events that have transpired since the last meeting, 2010’s COP16 in Cancun. We strive to provide an overview that makes it easy to digest what is going on in this prolonged, complex, and highly politicized process that started with the UNFCCC produced at the United Nations Conference on Environment and Development (UNCED) in Rio de Janiero (1992). This review, we hope, will provide those of you interested in humankind’s efforts to avoid what the UNFCCC refers to as“dangerous anthropogenic interference with the climate system” with a concise summary of key emerging science topics.

Desert
Image courtesy of Wikimedia Commons

Given what is at stake, progress has been painstakingly slow. The autonomous International Energy Agency (IAE) assesses that even with moderate “new policies” for mitigation, the world is on an emissions pathway that will lead to global average temperatures by the end of this century on the order of +3.5°C (+11°F) as compared to temperatures at the start of the 19th Century.(1) We now approach warming of +1°C as concentrations of carbon dioxide (currently the biggest culprit among the greenhouse gases) currently average more than 390ppm at monitoring stations worldwide(2). We also continue our assault on the world’s forests which, due to deforestation and fire, contribute about 12% of human emissions of CO2.

As we continue our seemingly slow but steady ascent to warmer temperatures, we replace incandescent light bulbs with fluorescent ones, buy a few more electric cars, and cross our fingers–but do little else to reduce greenhouse gas (GHG) emissions. The world community recognized GHGs would be an eventual threat to human security 29 years ago in Rio. Sixteen Conferences of the Parties later, we have an ineffective Kyoto Protocol, a nearly broken process of negotiation, and little else. Will this all change in South Africa at Durban just one month from now?

Recent developments in climate science could serve as the motivation COP17 delegates need to move forward in Durban. COP17 is the last gathering before the first commitment period of the Kyoto Protocol ends on December 31, 2012, with no binding instrument in place post-2012 to address climate change. Although differing viewpoints between developed and developing countries have hampered significant progress to date, recent scientific data about rising global temperatures, the role of forests in mitigating GHG emissions, and extreme weather patterns is sure to play a large role as nations determine which path to take. Let us look at some of these developments.

riseintemp
Projected changes in global temperature (graph courtesy of UNEP/GRID)

Limiting the Rise in Global Temperature

To date, the goal of current emissions reductions pledges has been to limit the increase of GHG emissions to +2°C. To reach this goal, GHG emissions should not exceed 450ppm (in CO2 equivalent units or CO2e) but according to the U.S. Department of Energy’s Energy Information Administration (EIA), the world’s projected emissions pathway is 650ppm. Scientists have determined that GHG concentration goals are useful targets, but cumulative anthropogenic emissions are a more important metric. A series of recent studies has established thatif we are to constrain temperatures to+2°C we must budget our use of fossil energy so that cumulative post-1750 emissions do not exceed one trillion tonnes of carbon. (3)

Unfortunately, we have already used about half of this quota over the last 200 years and at our current pace we will have consumed what is left by mid-century. With emissions from the developing world increasing and projected emissions from the power sector locked in, this goal is not achievable without draconian changes in policy including mandated reduction in use of fossil fuels, increased energy conservation and efficiency and increased green tech spending. In addition, global demand for oil, natural gas, and coal must peak before 2020. A transformation of this scope has never occurred, and it is unlikely that it will. Nations want to improve their economy and this improvement depends on energy; most energy comes from coal, oil, and natural gas. Renewable sources will not replace fossil sources fast enough, conservation measures that have little economic impact are scarce, and improving energy efficiency is unlikely to be at a pace to offset emissions sufficiently. Increasingly, scientists are acknowledging that limiting warming to +2°C will not be possible.

The realization that it will be impossible to limit global temperature rise to +2°C while adhering to current energy policies may facilitate cooperation and decrease deadlock among COP delegates as pressure to act intensifies, although the risk of finger-pointing and disagreement certainly exists. What will be the next goal? Some scientists believe the consequences of failing to adhere to+2°C will include “weather weirding” (4)–one meter sea level rise over this century and more thereafter, disruption of natural ecosystems, and threats to human health, water and food security. Can we exercise the discipline as a world community to limit warming to +3°C? This will occur as a result of atmospheric CO2e concentrations reaching 550 ppm. The DOE/EIA says we are on a 650 ppm emissions pathway if governments adopt new policies, and the EIA expresses concern that we may be on an emissions pathway beyond that. Much remains to be done.

Forests as Carbon Sinks

Image courtesy of Wikimedia commons
Image courtesy of Wikimedia Commons

The terrestrial flows of carbon between and within the oceans, Earth’s terrestrial surfaces, and the atmosphere have resulted in an apparent imbalance as atmospheric levels of carbon-based greenhouse gases continue to increase. Scientists have for some time referred to a “missing sink” – a large amount of carbon they knew was being sequestered somewhere on the terrestrial surface. This uncertainty lead to doubt about basic processes we needed to understand to help explain why so much carbon continued to be accumulated in theatmosphere. A recent study essentially identified the “missing sink” as intact tropical forests and confirmed that the world’s forests currently sequester 861 ± 66petagrams of carbon, while disturbed forests are net emitters of carbon.(5)  Therefore, although the carbon budget is closed, the terrestrial surface is unfortunately still emitting more carbon into the atmosphere than it is sequestering as deforestation and burning practices overwhelm the forests’ inclination to absorb and sequester carbon. This finding has generated increased interest in the role forests play in sequestering increasing GHG emissions, with specific attention being paid to the increase or decrease in the size of sinks within individual nations. It also underlines the importance of preserving the world’s intact forest systems.

At COP 17, science on the key role of carbon sinks in mitigating GHG emissions may propel more funding for programs such as REDD+ and the Green Climate Fund as the importance of green land-use, such as carbon sinks grows. The spotlight is sure to shine upon the need for sustainable forest harvesting practices.

Extreme Weather: Daily Evidence of Climate Change

Floods in South Asia (image courtesy of Wikimedia Commons)
Floods in South Asia (image courtesy of Wikimedia Commons)

Long droughts, intense heat waves, monsoonal rains and heavy flooding are a few of the weather patterns currently observed on Earth. A recent Intergovernmental Panel on Climate Change (IPCC) draft report affirms a 2-in-3 probability that extreme weather has already worsened due to human-induced GHG emissions. IPCC scientists are 99% certain that the world will experience an increase in extremes of heat and decrease of cold. The frequency, duration, and intensity of extreme weather events will continue to increase over the coming decades. Scientists have also determined that the water holding capacity of the atmosphere increases at a rate of 7% for every 1°C increase in global average temperature. They estimate that this could result in increases in precipitation on the order of 2% for every 1°C increase.(6) However, this does not happen uniformly across the surface of Earth. They expect the subtropics to become drier, and the temperature regions of the earth’s terrestrial surface to become wetter. Ironically, in those regions the water will come in more intense and less frequent bursts due to the changes in the atmosphere’s water holding capacity, resulting in both increased flooding and increased droughts in temperate regions. We can indeed expect the weather to get “weirder.”

Emerging science on extreme weather patterns may intensify discussions on adaptation for the most vulnerable nations at COP17. In addition, developed nations may participate with a new sense of urgency as their vulnerabilities are also exposed.


Climate Sensitivity

Image courtesy of Wikimedia Commons
Image courtesy of Wikimedia Commons

What makes us think that the climate is so sensitive to increases in concentrations of CO2? Repeatedly, climate models estimate that the most likely result of doubling atmospheric CO2 (all else being equal) is an increase of 3°C, and that it is more likely that the temperature will increase by as much as 4.5°C (vs. 2°C). This was true in 1979 when the U.S. National Academy of Sciences Charney Committee revealed its concern over climate change, and in most every IPCC report, in declarations of all national Academies of Science, and in myriads of scientific papers. (7) Still, the notion that climate is insensitive to changes in atmospheric concentrations of CO2 is a central argument held by those who disagree with the prevailing opinion of climate scientists. Aren’t climate models the fabrication of climate scientists who can jury-rig the results? Not likely, as historical evidence repeatedly points to the same conclusion. Paleoclimatologists literally dig deep – in ocean mud, old ice, and other records of the past such as tree rings – to determine how climate may have behaved through history in the presence of forces that affect the Earth’s radiative balance.(8) Recent paleoclimate science findings reinforce the idea that if a radiative forcing equivalent to doubling atmospheric concentrations of CO2 occurs, the climate tends to respond by changing average surface temperature by about 3°C. No suspect models–just the facts, as Jim Hanson recently declared.(9)

The UNFCCC representatives tend not to have problems with the notion of climate sensitivity. But those that feel the pressure to avoid what some think of as “dangerous interference with the economic system” are increasingly faced with the dilemma that our economic system may be facing greater threat from inaction. Positive actions to mitigate climate change may actually benefit the world’s economy. Indeed, IEA estimates in the 2011 World Energy Outlook that every dollar of mitigation saved now will generate four dollars in future costs. How this increasing realization will affect progress in Durban and beyond is a story worth watching.

Looking Ahead to Durban

As delegates at COP17 discuss and review nations’ commitment to matters such as emissions reductions and development and transfer of green technology, emerging science will serve to underline the urgency of making progress. To further explore how recent developments in climate change science may affect discussions in Durban, please see Kyoto and Beyond: Road to Durban, the fifth installment in ISciences’ ongoing series on multilateral agreements related to climate change.

logo

(1) International Energy Agency World Energy Outlook, WEO 2011

(2) NOAA CO2 monitoring website

(3) Allen, Myles R et al. “Warming Caused by Cumulative Carbon Emissions Towards the Trillionth Tonne.” Nature 458.7242 (2009) : 1163-6.

(4) Thomas Friedman coined the term “weather weirding” in an effort to describe the weather we have all experienced in one form or other in the last few years. For a gallery of “weather weirding” pictures, please visit: http://www.guardian.co.uk/environment/gallery/2011/jun/28/2010-year-global-weirding

(5) Pan et al, “A Large and Persistent Carbon Sink in the World’s Forests,” Science 19 August 2011: vol. 333 no. 6045 pp. 988-993

(6) Stephens, Graeme L, and Yongxiang Hu. “Are Climate-related Changes to the Character of Global-mean Precipitation Predictable?” Environmental Research Letters 5.2 (2010) : 025209. Web. 11 July 2011

(7)  Charney Report, 1979; IPCC AR4 Physical Science Basis, 2007, Solomon, 2011

(8) As the Laws of Thermodynamics demand, radiative imbalance is what ultimately alters the Earth’s climate as the system seeks a new equilibrium by warming or cooling as dictated by Plank’s Law

(9) James E. Hanson, Makiko Sato: Paleoclimate Implications for Human-Made Climate Change, 2011

→ No CommentsTags:·········

Disparity and Uncertainty: the Aftermath of Bonn’s United Nations Climate Change Conference

August 18th, 2011 · Data Chatter, Tweets-@isciences on Twitter

After a significant number of environmental groups indicated that talks at the United Nations Climate Change Conference (UNCCC) held in Bonn in June 2011 moved too slowly and produced few developments, it became clear issues surrounding climate change action will continue to challenge the United Nations Framework Convention on Climate Change (UNFCCC) until the 17th Conference of Parties (COP17) gathers in Durban, South Africa in November. Reports from the Bonn talks would seem to suggest that consensus about the Kyoto Protocol, climate change and how to implement resolutions won’t be easy to come by.

The Challenge of Reaching Agreement
The very evident political disparity between developing and developed nations during the Bonn talks resulted in widespread disagreement regarding treaty implementation and stalled crucial progress. Key developed nations responsible for the bulk of worldwide emissions wielded their power by abstaining from becoming signatories and instead affirmed a desire to comply with resolutions on their own terms. In turn, developing nations, fearing their requests and needs would not be met in spite of their willingness to comply with efforts to limit emissions, regularly voiced concern regarding the absence of Treaty signatories and submission to standards among developed countries. Nations like Costa Rica are fearful that they will have to settle for an agreement with developed countries that will not be enough to mitigate adverse effects of climate change. This lack of inequality in political power stalled the implementation progress for the Kyoto Protocol, the Copenhagen Accord and provisions of the Cancun Agreements. Because of this lack of agreement, UNFCCC’s progress to date has been too slow to implement urgently needed change; in addition, focus has been on less crucial components of climate change action versus the critical issue, fossil fuel emissions.

The U.N. Climate Change Conference meets in Bonn, Germany (photo courtesy of UNFCCC)

The U.N. Climate Change Conference in Bonn, Germany (photo courtesy of UNFCCC)

Kyoto Protocol: To Sign or Not to Sign
Little progress was made regarding the Kyoto Protocol. Developing countries would like to see a new commitment period for the Protocol to be finalized at COP17 before they honor new pledges in a new, wider agreement. However, the United States’ indicated that a legally binding international agreement is not possible and that the most promising action will take place outside of a binding treaty, which means enforcing compliance from world players—big or small—will continue to be a challenge. For example, major players including Australia, Switzerland, Norway and the European Union continue to support the Protocol and feel that all major emitters must be bound by the agreement, while non-European developed nations, such as Japan, Canada and Russia, are against an extension of the Protocol and remain unwilling to sign on to a second commitment period unless the U.S., China, and India commit to reduction pledges by being bound to the Protocol as well.

Turning Climate Change Resolutions into Action
Disagreement among nations also affected the Copenhagen Accord. Generally, developed countries hoped to build on voluntary pledges while developing countries demanded a new, legally-binding agreement that would go beyond the accord’s recognition of the challenges of climate change. Because of disagreement, little progress occurred with the Copenhagen Accord.
The majority of execution details within the Cancun Agreements, apart from adaptation, have yet to be agreed upon. In the realm of greenhouse gas emissions, developing countries advocated further cuts in greenhouse gas emissions, as well as an increase in adaptation funding. However, while several developing countries made emissions reductions pledges that meet the requirements to avoid catastrophic effects of climate change, developed nations failed to make substantial enough pledges, refusing to submit to restrictions unless all nations were given the same emission reduction restrictions.
In financial matters, the Bonn talks also failed to resolve the question of international climate finance; there is still no consensus on how to provide funding to help developing countries adapt to climate change.

Nations Look to Durban’s COP17 for Change
While the Bonn Climate Change talks did make progress in two key areas—reaching consensus regarding the governing of the UNFCCC Adaptation Committee and specifying the committee’s role, enabling it to function during COP17 and further agreement on a technology mechanism (including a Climate Technology Center and Network) that will create a cohesive international network of stakeholders in clean technology—much work remains to be done before COP17 in Durban. The future of the Kyoto Protocol remains the top UNFCCC priority. Climate change meetings held between now and November 2011 in Tokyo, Berlin and South Africa should provide a better picture of the progress—if any—that can expected from COP17.

Image courtesy of UNFCCC

Image courtesy of UNFCCC

→ No CommentsTags:······

Earth and the Rising Sea: Using Data to Address a Dynamic and Complex Phenomenon

June 16th, 2011 · Data Chatter, Data Explorations

By Steve Metzler, Research Scientist, ISciences

How might Earth and its people be affected by a rising sea?  While available data can’t be used to predict just how much the sea will rise over the next decades, it does provide us with awareness of how different our world could look if sea level rise continues on its current course.

Global mean sea level (1980 - 1999)Figure 1. 1993-2010 Sea level trends from satellite altimetry showing non-uniform changes in sea level that occurs over the surface of oceans (Source, NOAA)

Changing sea levels have been monitored since the 1950s. Starting in the early 1990s, satellites have also recorded sea level rise.(1) Sea level rise has occurred at a mean rate of 1.8 mm per year for the past century,(2) and more recently, during the satellite altimetry era of sea level measurement, at rates in the range of 2.9-3.4 ± 0.4-0.6 mm per year from 1993–2010 – over the century for a global mean total of 7 inches over the surface of the oceans.(3)

The rise in sea level is due, in part, by increasing temperatures which cause the thermal expansion of water. The addition of water to the oceans from the melting of mountain glaciers, ice caps and ice sheets has also contributed to rising sea levels. Thermal expansion and melting of land ice contributed roughly equally to sea level rise in the 20th Century, but thermal expansion is expected to contribute more than half of the rise in the upcoming century.(4)(5) Sea level rise is a complex phenomenon which does not happen uniformly over the surface of the oceans. This is due not only to variations in ocean temperature, but also to ocean circulation changes, land movements unrelated to global warming, and changes that occur due to the interactions between land and rising seas. Given all the variables, realistic projection of the geographical distribution of sea level rise remains a challenge for future research.(6)

What are the implications of a rising sea?

Global mean sea level (1980 - 1999)Figure 2. Time series of global mean sea level (from 1980 – 1999 mean) in the past and as projected in the future. (Source: IPCC)

To address how the world and its people would be affected by sea level rise, ISciences produced  a dataset in partnership with Columbia University’s Socioeconomic Data and Applications Center (SEDAC). The dataset, illustrated below (fig. 3), was created using existing Consultative Group on International Agricultural Research Consortium (CGIAR Consortium) and Shuttle Radar Topography Mission (SRTM) elevation datasets. Because radar-based elevation data does not account for trees or areas of man-made elevation (such as buildings), datasets were cross-coded with mangrove location data to attain accurate current sea level measurements. To create this data set, we wrote an algorithm that increased the sea level in one meter steps (the same vertical resolution as the elevation datasets) and then followed the resulting flow of the sea as far inland as necessary. The individual datasets resulting from each step were then combined into the overall Sea Level Rise dataset to show the effect a rising sea could have on the world and its population should the sea level continue to rise.

Our changing Earth

As we can see from the map below (fig. 3), a rising sea could change the face of the earth in the next century, particularly for coastal communities and low-lying areas. For example, at current rates, sea level rise would be high enough to make the Maldives uninhabitable by 2100.(7)(8)(9) The map (fig. 3) shows uniform sea level rise throughout the world based on today’s coastline. However, because future sea level rise is not expected to be uniform, some regions will show a more substantial rise compared to the global average (in many cases of more than twice the average), while others will see a sea level fall.(10) The map callouts (fig. 3) illustrate regions expected to experience significant impacts such as the Louisiana Coast, the Maldives, and Bangladesh.  Dark orange highlights one meter sea level rise.  Shades of orange to yellow reflect regions that could be impacted by storm surges of as much as fifteen feet after one meter sea level rise.  Lighter shades of gray reflect higher levels of sea level rise that would be expected in future centuries, only after the collapse of major Greenland and Antarctica ice sheets, should they occur.

Figure 3.  Areas at risk due to sea level rise in 2100.  Source: ISciences, SEDAC.

Figure 3. Areas at risk due to sea level rise in 2100. Scientists currently expect sea level to rise about one meter by 2100. Source: ISciences, SEDAC.

Another consideration is that the rising sea will also change the coastline depending on the local physical and geomorphological features (sand, soil or rock) and the interactions between land and sea. The rising sea will also impact mangrove forests and other wetland features such as grass beds changing the biophysical characteristics of the near-sea land surface. This is a complex and dynamic process, so our map provides just a glimpse of the changes we could see over time. NOAA’s Sea Level Rise and Coastal Flooding Impacts Viewer is a great interactive way to explore this phenomenon in real time.

For further reading please visit:

• Columbia University’s Socioeconomic Data and Applications Center (SEDAC)
• Consultative Group on International Agricultural Research Consortium (CGIAR Consortium)
NOAA Sea Levels Online (interactive tool) and NOAA Sea Level Data

→ No CommentsTags:·······

Beyond Woolly Bears and Pig Spleens, Part II: The Climate Forecast System

May 23rd, 2011 · Data Explorations, TerraViva Data, Tweets-@isciences on Twitter

AUTHOR: Matthew Landis, Research Scientist, ISCIENCES, L.L.C.
Figure 3.Figure 3. Ensemble temperature forecasts for a given point on the Earth. The black line indicates observed temperature over time, and the red lines indicate replicate CFS forecasts for 28 ensemble members. The background colors indicate temperature anomalies based on a 50 year climatology. Source: ISciences.

At ISciences, we have been using the NCEP Climate Forecast System (CFS) as the basis for our seasonal predictions.  This model has been running since 2004, and provides ensemble global climate forecasts with up to a 9 month lead time.

This past spring, the CFS underwent a major upgrade to the next generation, CFSv2, with several key improvements.

  • The spatial resolution of the forecasts was increased from 210 km to 100 km pixel size (See Figure 3). Some of the intermediate aspects of the model now have even higher increases in spatial resolution; for example, the atmospheric component  has a pixel size of approx. 38 km and the “initial conditions” (the actual observed weather conditions that are the starting point for forecasts) are assimilated at 27 km (vs. 210 km in v1) with the vertical dimension of the atmosphere divided into 64 levels (vs. 28 in v1).
  • The temporal resolution has increased as well.  The time step is now 6 hours instead of 12.
  • CFSv2 features an increased number of ensemble members, esp. for short-term forecasts (1.5 to 3 month).  The new version produces 4 runs per day to 9 months, 7 runs to 3 months, and 16 runs to 1.5 months.  Thus, each day there is an ensemble of 27 runs out to 1.5 months.
  • The new ocean component is the MOM4 model, which is global in extent and has higher spatial resolution than the previous MOM3 model.
  • The land surface component is the NOAH land surface model.  Among other improvements, this has 4 soil depth levels instead of the older OSU model which has 2 levels, and it has a better representation of snow and ice.
  • Version 2 incorporates a separate detailed sub-model for representing sea ice.
Figure 4.Figure 4. An example of how the globe is divided up into “voxels” (three dimensional pixels) to facilitate simulations. The processes shown in the inset are simulated in each square. Higher resolution models simulate smaller, more numerous voxels. Source: Wikimedia Commons

In order to use the new CFSv2 operational forecasts, two initial steps are required to assess and correct for any model bias.  First, a reanalysis has to be run.  This is a run of the model over a historical time period (1979-2010 in this case) where the model provides global gridded estimates of all the parameters at 6 hourly time steps, based on observed values from a variety of sources.   The reanalysis data can be used for a wide variety of climate investigations, since it provides a high resolution grid of a huge number of climate parameters over the entire globe.

However, the main purpose of the reanalysis is to serve as the basis for a reforecast, which is a set of forecasts calculated for time periods in the past.  This provides an estimate of what the model would have forecast if it had been running in the past (1981-2010 in this case).  The reforecast can then be compared with observed values in order to assess and correct model bias from the forward looking operational forecasts.

NCEP has now completed both of these steps.  The data are available here.

How well does it work?

Naturally, if we are going to base decisions on forecasts, we want to know how good the forecasts are.  Do they tend to be accurate?  In the lingo, we refer to forecast accuracy as skill.  It’s important to realize that there are fundamental limits to the skill of long range forecasts.  As mentioned in Part I, there is a large degree of inherent uncertainty in forecasts which limits skill even if we had perfect knowledge of the climate system.  It’s as though we are trying to predict the path of a ball rolling down a rock strewn hill; we are pretty sure it will get to the bottom, but the exact path it traces is determined largely by random events and the initial position of the ball.

Based on analyses of CFSv1, we know that model skill varies temporally, spatially, and according to the parameter of interest.  Some parameters that vary slowly, such as sea surface temperatures or soil wetness, can be predicted with confidence whereas others such as precipitation are more difficult (Figure 5).  In general, the tropics and areas strongly affected by ENSO (El Nino-Southern Oscillation) are more predictable than temperate areas.

In a recent test of the upper limit of predictability of the CFS system, two researchers at Princeton estimated the correlation between replicated model runs.  That is, they looked at the similarity between replicate forecasts based on identical initial conditions.  They found that monthly precipitation estimates for a point in the central US only had a correlation coefficient of approximately 0.3 (out of a possible 1.0).

However, with the improvements in CFSv2, such as the improved ocean and land models, higher spatial and temporal resolution, and the inclusion of sea ice, there is reason to suspect higher levels of predicatability.  A preliminary study suggests that we can expect to see substantial improvements based on a very coarse level comparison of models.

In any case, it’s likely that these skill assessments underestimate the ability of the model to forecast the real items of interest: the likelihood of extreme events.  To date, there has been no rigorous assessment of the model skill at predicting extreme events, although a preliminary investigation suggests that forecasting extreme events is more accurate than predicting the full range of conditions.  Likewise there has been no attempt to determine the skill of forecasts when ensemble members are in strong agreement.  It’s likely that when there is a strong climate signal, ensemble members will tend to converge, indicating a high probability of an event.

Over time, we look forward to improved skill estimates for the CFS system.  As an alternative, there’s always the Old Farmer’s Almanac!

→ No CommentsTags:····

Join ISciences at the Hands-On Museum’s Tech Twilight on May 21, 2011

May 16th, 2011 · Tweets-@isciences on Twitter

Looking for a great weekend event for your science-loving family? Join ISciences at the Ann Arbor Hands-On Museum’s Tech Twilight on Saturday, May 21!

Held between 6-9 p.m., Tech Twilight will showcase local technology via various engaging displays. Techies, scientists and entrepreneurs will be on hand to share their love of science and encourage exploration. Attendees of all ages will enjoy refreshments and music from the Chief Blues Officers and Red Haired Molly.  Scheduled science-themed workshops and a family scavenger hunt are sure to keep kids (and adults) entertained.

TechTwilight_Logo_PWB_1“ISciences is proud to sponsor Tech Twilight again this year,” said Michael Metzler, Vice President, adding, “we support the Ann Arbor Hands-On Museum and look forward to sharing our love of science with attendees of all ages.”

Visitors to the ISciences booth will enjoy an informative slide show about Earth and its people, as well as free coloring books, stickers and the opportunity to enter a raffle for one of three SIGG water bottles. See you there!

For more information about the Hands-On Local Tech Event, please visit http://techtwilight.org/. For more information about ISciences please visit www.isciences.com.

Would you like to attend the TechTwilight event free? Tell us why below, and you could win tickets for you and your family. We’ll select the winners by Friday, May 20 at 3:00 pm.

→ No CommentsTags:··

Beyond Woolly Bears and Pig Spleens, Part I: Seasonal Forecasting

April 20th, 2011 · Data Explorations, TerraViva Data

AUTHOR: Matthew Landis, Research Scientist, ISCIENCES, L.L.C.

Humans have desired weather predictions since at least the beginning of agriculture, 10,000 years ago.  Over time, we’ve relied on many methods to form predictions, such as looking at the shape of a pig spleen or measuring the width of color bands on a woolly bear caterpillar.  Since the early ’90’s we’ve added computer simulations to our toolbox.  These methods may not approach the claimed 80% accuracy of the Old Farmer’s Almanac, but they do have the advantage of a documented physical basis.

Figure 1. An example of a CFS precipitation forecast for August, 2010 (issued during the last week of July 2010). Red indicates drier than normal, blue indicates wetter than normal. Cross-hatching indicates uncertainty in the forecast. Source: ISciences.Figure 1. An example of a CFS precipitation forecast for August, 2010 (issued during the last week of July 2010). Red indicates drier than normal, blue indicates wetter than normal. Cross-hatching indicates uncertainty in the forecast. Source: NCEP/CPC (source data); ISciences (analysis).

Weather and climate simulation models are now used routinely to forecast at timescales ranging from days to weeks, months, and decades.  Climate models are now frequently used to forecast  a century forward. At ISciences, we are most interested in forecasting at the timescale of months–the domain of “seasonal” forecasts.

LONG-RANGE FORECASTS

Given the dubious accuracy of short-term weather forecasts beyond a week, it’s natural to wonder how we can presume to make reasonable forecasts out to 6 months and beyond. Based on atmosphere alone, the “butterfly effect” means that there is a theoretical limit of 10-14 days beyond which it is impossible to make accurate predictions, even if we had perfect knowledge of the atmospheric physics.  This is because small changes in atmospheric conditions (such as the flapping of a butterfly’s wings) get magnified over time, producing uncertainty.

Figure 2.Figure 2. An illustration of how sea surface temperature anomalies can affect climate over large areas. The different pattern of temperatures in the Pacific (illustrated by the colors) influences atmospheric processes over a large area. Source: Columbia University

However, long-range forecasts take advantage of the fact that at longer time scales, weather patterns are less dominated by atmospheric processes and more affected by factors external to the atmosphere (referred to as forcings) such as changes in sea-surface temperatures, sea-ice patterns, or land-surface characteristics like soil moisture.  All of these change much more slowly than the atmosphere; one might say they have more “memory”.  Thus, they tend to be more predictable over longer time scales.  (See this link for more on this topic). To the extent that these external forcings can be incorporated into a climate model, knowledge of their states can substantially improve our ability to make long range forecasts.  Models that incoporate all of these aspects are referred to as coupled general circulation models (CGCM’s)

A CGCM is not actually a single model, but rather a system of simulation models each representing the atmosphere, ocean, and land.  These models represent the physics of heat, pressure, and moisture changes over the globe.  Such models also include complex data assimilation algorithms to incorporate observational data from satellites, weather stations, and arrays of ocean buoys; these data provide the initial conditions required to make the forecast.  As one can imagine, such models require massive computing power and storage capacity. At the National Centers for Environmental Prediction, the Climate Forecast System discussed below uses hundreds of processors on IBM supercomputers and requires over 1500 Terabytes of storage space to archive the resulting data.

Part of the need for all of this computing power and storage space is that for each forecast time period, the model produces not just one forecast, but rather ensembles of replicate forecast members (the Climate Forecast System described below uses ensembles of 28 members).  Even with the increased predictive power achieved by incorporating external forcings, there is still considerable uncertainty in long range forecasts due to the butterfly effect described above.  The replicate ensemble members allow forecast users to estimate the uncertainty associated with a particular forecast.  Each member is based on slightly different initial conditions, which frequently results in considerable variation among the members.  Presumably, forecasts where all members are in strong agreement are more likely to be accurate, although this has not been rigorously tested.

On part II of this series, we will explore ISciences’ use of the the Climate Forecast System and improvements expected in version 2.

→ No CommentsTags:······

The A-Train Loses a Car: Implications of Glory’s Failed Launch

March 21st, 2011 · Data Chatter

 AUTHOR: Mark Gehrke, Research Scientist, ISCIENCES, L.L.C.
 
Taurus XL rocket launch (photo courtesy Wikimedia Commons)

Taurus XL rocket launch (photo courtesy Wikimedia Commons)

At 02:09:43PST on March 4, 2011 a Taurus XL rocket blasted off from Vandenberg Air Force Base carrying NASA’s Glory satellite for climate change research. However, about 3 minutes after liftoff the payload fairing (i.e. the cover protecting the satellite during launch) failed to separate from the booster. With the additional weight of the fairing, the satellite could not reach orbit and it crashed into the Pacific Ocean. Ironically, this is the same failure which doomed the Orbiting Carbon Observatory (OCO) during its ascent into orbit in February 2009 [1].

Had the launch of Glory been successful, the satellite would have joined a constellation of satellites known as the Afternoon Train, or A-Train [2]. (OCO would have been part of the A-Train as well.) The members of the A-train (Aqua, CloudSat, CALIPSO, and Aura) are all climate research satellites which orbit the earth as a group. The name of the constellation comes from the fact that the satellites cross the equator within minutes of each other, all around 1:30pm local time.  The satellites carry a diverse suite of active and passive remote sensing instruments and the near simultaneous observations from so many space sensors provide scientists with unique data for studying climate change.

Glory’s Role in the A-Train

Glory would have joined these satellites and brought two new instruments with it: the Aerosol Polarimetry Sensor (APS) and the Total Irradiance Monitor (TIM) .  APS  would have measured the polarization of the light scattered by atmospheric aerosols: the tiny particles that are suspended in the air (dust, smoke, smog, etc) [4]. The amount and type of polarization measured by APS would provide information about the size, shape, and kind of particles present. With this information the Glory mission hoped to determine the global distribution and properties of natural and man-made aerosols and clouds. Why is this relevant to climate change? Scientists know that aerosols play an important role in the energy balance of the planet. But what is not understood is just how large that role is and how much aerosols are contributing to, or limiting, global climate change [5]. Thus, APS also aimed to quantify the direct and indirect effects of aerosols on climate change.

By 2014, the A-Train satellite formation should have included OCO-2, GCOM-W1, Aqua, CloudSat, CALIPSO, Glory, and Aura. (Image courtesy of NASA)

By 2014, the A-Train satellite formation should have included OCO-2, GCOM-W1, Aqua, CloudSat, CALIPSO, Glory, and Aura. (Image courtesy of NASA)

TIM was a high accuracy radiometer for monitoring the irradiance from the sun. Effectively, this means that TIM would precisely measure the radiant energy from the sun that reaches the Earth with the goal of determining the Sun’s short-term and long-term effects on the Earth’s climate [6]. Accurate, persistent measurements of the total solar irradiance are key to understanding global climate change since the sun is the strongest driver of the Earth’s temperature. Thus, any measured changes in Earth’s atmospheric temperature must be interpreted in the context of solar irradiance variations. This is necessary to separate natural sources of climate change (e.g. variable energy output from the sun) from man-made sources (e.g. burning of fossil fuels).

After Glory’s Loss – What’s Next?

A rendition of Glory in orbit (image courtesy of NASA)

A rendition of Glory in orbit (image courtesy of NASA)

So what will NASA do given the loss of Glory? It’s much too early to say. When OCO was lost, a replacement was authorized and is scheduled to be launched in 2013. But considering Glory cost $425M [3] and given the current federal budget concerns, replacing Glory isn’t a sure thing. While the APS would have added a novel, new data source to the existing remote sensing capabilities, the loss of TIM is likely the more urgent issue. The Glory/TIM mission would have continued an uninterrupted 32-year span of total solar irradiance measurements. The satellites currently providing total solar irradiance data are nearing their end of lives and the next generation of solar irradiance monitoring satellites aren’t expected to launch until 2015 [7] [8]. Thus, without Glory, there is significant risk that climate scientists will be faced with a gap in solar irradiance measurements.

[1] http://www.nasa.gov/mission_pages/oco/news/oco-20090717.html
[2] http://en.wikipedia.org/wiki/A-train_(satellite_constellation)
[3] http://en.wikipedia.org/wiki/Glory_(satellite)
[4] http://glory.giss.nasa.gov/aps/
[5] http://www.pnl.gov/atmospheric/research/aci/
[6] http://glory.giss.nasa.gov/tim/
[7] http://www.scostep.ucar.edu/archives/scostep11_lectures/Woods.pdf, chart 8
[8] http://eospso.gsfc.nasa.gov/eos_homepage/mission_profiles/docs/ACRIMSAT.pdf

→ 1 CommentTags:·····

Report on Cancun COP16

February 11th, 2011 · Data Chatter

Published on the heels of the United Nations Climate Change Conference in Cancun, ISciences’ Report on Cancun COP16 (1) offers analysis of and insight into COP16.  The fourth installment in ISciences’ ongoing series on multilateral agreements related to climate change is a summary of the negotiations that transpired during the 16th United Nations Framework Convention on Climate Change Conference of the Parties (UNFCC COP16), held in Cancun, Mexico, from Nov. 29-Dec. 10, 2010.

From Expectation to Fruition

At its conclusion, COP16 was deemed an overall success, culminating in The Cancun Agreements, which were approved by key players China, the U.S. and India (three of the world’s major carbon emitters). The Agreements consist of five main areas of focus: financing through the Green Climate Fund; Reducing Emissions from Deforestation and Forest Degradation (REDD+); increasing transparency through monitoring, reporting, and verification (MRV); formalizing the emissions reduction pledges made at COP15 in Copenhagen, Denmark; and Creating a new Adaptation Framework. Both expectations heading into the summit and progress attained during the proceedings are discussed in more detail in Report on Cancun COP16 .

Beyond the Kyoto Protocol

The most anticipated issue at COP16 was the future of the Kyoto Protocol, and many participating nations hoped to leave Mexico with a 2nd commitment period.  However, on opening day, representatives for Japan, Canada, and Australia announced refusal to sign on. ISciences’ Report on Cancun COP16  addresses the debate surrounding the Kyoto Protocol, the reasons behind key nations’ refusal to sign on, and the Protocol’s post-Summit status.

Looking Ahead to Durban

Many nations feel that, although COP16 signified a step in the right direction, there is still much to be done.  Nations still are at risk for the dangerous effects of climate change, and there is need for further legislative action and increased international efforts. Between 30 to 40 thousand heads of state, government officials, and climate change activists are expected to attend COP17, scheduled for December 2011 in Durban, South Africa.

(image courtesy of UNFCCC)

(image courtesy of UNFCCC)

Kyoto and Beyond is a series of presentations on the evolving international climate treaty process that began with the United Nations Framework Convention on Climate Change (UNFCCC).  Installments include Kyoto and beyond:  the Evolution of Multilateral Agreements on Climate Change, Report on Copenhagen (COP15) and Road to Cancun (COP16).

(1) To download the slideshow, click on  SPOTLIGHT (bottom left) and select “open” from the pop-up menu. (note: if you are running Office 2007, the presentation will open in edit mode. To enjoy all the features of Report on Cancun COP16, please select “slideshow.”)

→ No CommentsTags:·······

Novel and Disappearing Climates Datasets: A Closer Look

December 16th, 2010 · Data Explorations, TerraViva Data

On the heels of the 16th Conference of Parties (COP) of the United Nations Framework Convention on Climate Change (UNFCCC) meeting at Cancun, where climate change and its impact on the world’s populations was on the front burner, we at ISciences asked ourselves: exactly how is long-term human interaction with the ecosystem affecting the Earth’s climate?  Thanks to J.W. Williams and ISciences, users can now take a closer look at the Novel Climates map, which has converted map data for Novel Climate datasets for use in TerraViva!®  Novel climates, as modeled in this series, are projected to develop primarily in the tropics and subtropics, and will occupy a spatially cohesive subset of areas experiencing high local climate change.

DisappearingFullA2The ten maps in the collection cover two different ranges of C02 increase. The maps are based on a study by J.W. Williams et al. published in the Proceedings of the National Academy of Science in 2007. The study looked at the results of multiple global change models run against two different scenarios and compared the anticipated climate conditions to current and historical ones. The analysis produced a global map showing standardized scalar index of climate dissimilarity (SED) between the end of the 20th and the end of the 21st centuries. The closer the SED value, the more similar the pixels. The key findings were 1) that by 2100 substantial proportions of the Earth’s land surface will be “novel” climates – conditions that have not been experienced in the past – and 2) that currently existing climates will “disappear” from substantial portions of the Earth’s surface. The PNAS article has been quite influential, with at least 190 citations in scholarly journals since 2007.

We provide three different ways of viewing the data: novel climates, disappearing climates, and local changes. The climate variables used in the model were temperature and precipitation for both the June-August and December-February periods. The map series also contains A2 and B1 scenarios at 500km – the pool of potential analogs is restricted to gridpoints within 500 km of each target gridpoint. This is important because regions may have very similar climates but be located so far apart that they have very different climatic destinies: for example, the Himalayas and the Andes. Thus, using the 500 km maps probably provides more plausible results. Maps in the series were based on the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions A2 and B1 scenarios.

Citation for the original article:
John W. Williams, Stephen T. Jackson, and John E. Kutzbach. “Projected distributions of novel and disappearing climates by 2100 AD.” PNAS 2007 104 (14) 5738-5742; published ahead of print March 27, 2007,doi:10.1073/pnas.0606292104

Link to the original article:
http://www.pnas.org/content/104/14/5738.full
Link to scholarly journals citing the original article:
http://scholar.google.com/scholar?cites=12401866741082552095&as_sdt=80000005&sciodt=80000000&hl=en
Link to the metadata: http://geoserver.isciences.com:8080/geonetwork/srv/en/metadata.show?id=240&currTab=simple

To read our original Global Data Hound blog on Novel and Disappearing Climates, visit http://geoserver.isciences.com/DataBlog/?p=480

For ISciences’ video about Novel and Disappearing Climates, visit http://www.youtube.com/watch?v=Y4MpAiAoE7E

→ No CommentsTags:·····