Category Archives: Visualization

Four Short Links

1) A new paper in Ecology Letters, Regime shifts in ecological systems can occur with no warning, by Alan Hastings and Derin B. Wysham shows that in models certain types of regime shifts do not exhibit any signs of early warning.  In their abstract they write:

… we show that the class of ecological systems that will exhibit leading indicators of regime shifts is limited, and that there is a set of ecological models and, therefore, also likely to be a class of natural systems for which there will be no forewarning of a regime change … We then illustrate the impact of these general arguments by numerically examining the dynamics of several model ecological systems under slowly changing conditions. Our results offer a cautionary note about the generality of forecasting sudden changes in ecosystems.

2) Climate charts and graphs is a useful blog about using R to download and analyze publically available climate data.

3) Tom Fiddaman makes a simple systems management game in Processing.

4) Alex Steffen on World Changing  claims that Bill Gates gave the Most Important Climate Speech of the Year:

On Friday, the world’s most successful businessperson and most powerful philanthropist did something outstandingly bold, that went almost unremarked: Bill Gates announced that his top priority is getting the world to zero climate emissions.

Mapping the USA’s food

The US Department of Agriculture (USDA) has introduced the Food Environment Atlas, a new web-based data visualization tool.  The atlas is an interactive online tool that allows people to visualize various food related information at the USA county level.  For example the map below:

Pounds per capita of meat and poultry

Ratio per capita of fruit and vegtables consumed vs. processed food

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Mapping the Warmest Decade

This map shows how temperatures during the decade (2000-2009) compared to average temperatures recorded between 1951 and 1980. The most extreme warming, was in the Arctic (shown in red). The blue areas are cooler than average, while the grey areas show places where temperatures were not recorded.

From NASA’s Image of the Day:  2009 Ends Warmest Decade on Record

January 2000 to December 2009 was the warmest decade on record. Throughout the last three decades, the GISS surface temperature record shows an upward trend of about 0.2°C (0.36°F) per decade. Since 1880, the year that modern scientific instrumentation became available to monitor temperatures precisely, a clear warming trend is present. In total, average global temperatures have increased by about 0.8°C (1.5°F) since 1880.

Visualizing the Arctic Oscillation

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Impact of the negative Arctic Oscillation on land surface temperatures throughout the Northern Hemisphere. Acquired December 1 - 31, 2009 from Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA’s Terra satellite

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The Arctic Oscillation is unusually strong right now.  The consequences, a warm arctic and cold N Europe and E North America, are illustrated in the image Winter Temperatures and the Arctic Oscillation from NASA’s Earth Observatory’s Image of the Day:

If you live nearly anywhere in North America, Europe, or Asia, it’s no news that December 2009 and early January 2010 were cold. This image illustrates how cold December was compared to the average of temperatures recorded in December between 2000 and 2008. Blue points to colder than average land surface temperatures, while red indicates warmer temperatures. Much of the Northern Hemisphere experienced cold land surface temperatures, but the Arctic was exceptionally warm. This weather pattern is a tale-tell sign of the Arctic Oscillation.

The Arctic Oscillation is a climate pattern that influences winter weather in the Northern Hemisphere. It is defined by the pressure difference between air at mid-latitudes (around 45 degrees North, about the latitude of Montreal, Canada or Bordeaux, France) and air over the Arctic. A low-pressure air mass dominates the Arctic, while high pressure systems sit over the mid-latitudes. The strength of the high- and low-pressure systems oscillates. When the systems are weaker than normal, the pressure difference between the Arctic and mid-latitudes decreases, allowing chilly Arctic air to slide south while warmer air creeps north. A weaker-than-normal Arctic Oscillation is said to be negative. When high and low pressure systems are strong, the Arctic Oscillation is positive.

Mapping global flows of virtual green and blue water

Green and blue virtual-water ‘flows’ related to wheat trade by major exporting and importing nations (km3/year). The size of each pie is determined by the amount of virtual water ‘traded’. Countries with virtual-water ‘exports’ are depicted in green and countries with virtual-water ‘import’ in red;<br /> the colour shade depends on the quantity of virtual water ‘traded’. Period 2000–2004.
Green and blue virtual-water ‘flows’ related to wheat trade by major exporting and importing nations (km3/year).
The size of each pie is determined by the amount of virtual water ‘traded’.
Countries with virtual-water ‘exports’ are depicted in green and countries with virtual-water ‘import’ in red; the colour shade depends on the quantity of virtual water ‘traded’. Period 2000–2004.

M.M. Aldaya, J.A. Allan and A.Y. Hoekstra in their paper Strategic importance of green water in international crop trade (Ecological Economics 2009) doi:10.1016/j.ecolecon.2009.11.001 map global flows of virtual water in the wheat trade.

In their paper they explain their figure:

The map presented in Fig. 6 shows the virtual-water ‘flows’ to the five major importing countries for wheat for the period 2000–2004.

By ‘importing’ virtual water embodied in agricultural commodities, a nation “saves” the amount of water it would have required to produce those commodities domestically.

Though from an importing country perspective it is not relevant whether products have been produced using green or blue water in the country of origin, from a global point of view it has important implications (Chapagain et al., 2006a). For instance, Egypt is the largest importer of wheat, with the USA providing about 45% of the country’s imports. Wheat from Egypt has an average virtual-water content of 930 m3/ton of which 100% is blue water (Chapagain et al., 2006a), while the USA has a virtual-water content for wheat of 1707 m3/ton of which 39.8% is blue water (Table 3).

By importing wheat, Egypt saves 930 m3 of water per ton of wheat. Globally, when imported from the USA, there is not a total water saving because wheat production in the USA requires more water than in Egypt. Exports to Egypt from this country result in a considerable net global water loss of 777 m3 per ton. However, if we just look at blue water only, importing wheat from the USA to Egypt saves 251 m3/ton (since USA production requires 679 m3/ton of blue water and wheat production in Egypt 930 m3/ton).

Along these lines, Egypt, as some other water-scarce importing countries, has formulated policies to import low value but high water consuming food like cereals (Van Hofwegen, 2005). Nevertheless, even if the potential of trade to “save” water at national level is substantial, most international food trade occurs for reasons not related to water resources (CAWMA, 2007).

Maping global virtual waters flows

Fig. 4. World map of virtual water exports. (a) Total virtual water exports (flows exceeding 10 km3 yr−1 are shown); (b) flows of virtual water exports originating from blue (irrigation) water (flows exceeding 1.0 km3 yr−1 are shown); and (c) virtual water exports originating from nonrenewable and nonlocal blue water (flows exceeding 0.5 km3 yr−1 are shown).
Fig. 4. World map of virtual water exports.
(a) Total virtual water exports (flows exceeding 10 km3 yr−1 are shown);
(b) flows of virtual water exports originating from blue (irrigation) water (flows exceeding 1.0 km3 yr−1 are shown); and
(c) virtual water exports originating from nonrenewable and nonlocal blue water (flows exceeding 0.5 km3 yr−1 are shown).

Figure is from Hanasaki and others paper An estimation of global virtual water flow and sources of water withdrawal for major crops and livestock products using a global hydrological model (2009 Journal of Hydrology) doi:10.1016/j.jhydrol.2009.09.028.

They explain the figure:

The estimated flows of virtual water exports and imports in 2000 by nation were aggregated into 22 regions worldwide (Table 9; Fig. 4) to show net exports between regions.

Fig. 4a shows the virtual water export flows for all water sources. The figure indicates that North and South America were major regions from which virtual water export flows originate; East Asia, Europe, Central America, and West Asia were the major destinations. This pattern of flows agrees with the studies of (Oki and Kanae, 2004), (Yang et al., 2006) and (Hoekstra and Hung, 2005).

Fig. 4b shows the virtual water exports of blue water (withdrawn from streamflow, medium-size reservoirs, and NNBW sources), and

Fig. 4c shows the virtual water exports of NNBW. Most major flows of blue water and NNBW originated from North America and South Asia.

Interestingly, South America was the major total virtual water exporter but a minor blue water exporter because less cropland is irrigated on this continent.

Notably, South Asia, which is densely populated and where demand results in water scarcity (Oki and Kanae, 2006 and Hanasaki et al., 2008b), showed blue and NNBW virtual water export flows. [note: NNBW – is non-renewable and non-local blue water.]

What COP15 means for the planet?

Climate Interactive used their climate policy model, C-Roads, to analyze the Copenhagen Accord and national commitments to reduce greenhouse gas emissions. Their analysis assumes that nations follow their commitments. Their analysis shows:

The Accord adopted in Copenhagen (accessed 19 December 2009) calls for deep cuts in global emissions so as to hold the increase in global temperature below 2 degrees Celsius compared to preindustrial levels. Simulations of the C-ROADS model show that doing so requires global greenhouse gas emissions to peak by 2020 and then fall 50% below 1990 levels by 2050 (a cut of approximately 60% below current emissions).

However, simulations of the C-ROADS model show a large gap between the targets in the final Copenhagen agreement and the commitments offered by individual nations. Using the C=ROADS model, the researchers estimate that current confirmed proposals (that is, submissions to the UNFCCC or official government positions) would raise expected global mean temperature by 3.9 Celsuis by 2100. Including conditional proposals, legislation under debate and unofficial government statements would lower expected warming to an increase of approximately 2.9 C over preindustrial levels.

The graph and table below show simulation results from the C-Roads model for four scenarios: business as usual (calibrated to the IPCC A1FI scenario), current confirmed commitments, potential commitments, and the low emissions path required to achieve an expected warming of 2 degrees C over pre-industrial levels.

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Seth Borenstein of Associated Press interviewed John Sterman and Andrew Jones from Climate Interactive as well as Cynthia Rosenzweig and Yvo de Boer:

Going above 450 parts per million “will change everything,” said NASA climate impacts researcher Cynthia Rosenzweig.

“It’s not just one or two things,” Rosenzweig said. “There will be changes in water, food, ecosystems, health, and those changes also interact with each other.”

At that point, among other things, millions of people would be subject to regular coastal flooding, droughts would cause food shortages, coral reefs would dramatically die off affecting the ocean food chain, and about 20 percent of the world’s known species would be significantly endangered, according to Rosenzweig and other climate scientists.

Systems dynamics experts John Sterman of MIT and Andrew Jones of the Sustainability Institute in Vermont compare our carbon problem to a bathtub. Each year we pump carbon dioxide into the atmosphere, much of it remains there. It lasts for about a century, although about half of the carbon dioxide produced is removed each year by forests and oceans.

Sterman and Jones figure the world can afford to churn out another 920 billion metric tons of carbon dioxide between now and 2050. Holding emissions to that level offers a better than even chance at keeping the world under 450 parts per million and avoiding a crucial temperature rise.

But that will be a challenge. Forty years of pumping emissions at the level we have now would exceed the safe level by more than 50 percent. And that doesn’t even account for future levels of greenhouse gases from booming economies like those in China and India.

Ideally, the world should produce 80 percent less in greenhouse gases than we do now, Jones said.

Technically, the delay of at least one year in implementing strict emissions limits — thanks to the nonbinding deal in Copenhagen — may not hurt. But it’s a momentum issue and a compounding interest issue, said Achim Steiner, head of the United Nations Environment Program. It’s like debt on a credit card: Every time a person puts off paying the balance, it grows bigger and harder to resolve.

Every year of delay means the chance of achieving a stable and healthy climate “is getting smaller and smaller,” said Yvo de Boer, head of U.N. Framework Convention on Climate Change, which ran the Copenhagen negotiations. …

Yet de Boer is optimistic.

“I think science will drive it,” de Boer said. “I think business will drive it. I think society will drive it.”

Portraits of Resilience

Portraits of Resilience, a photography exhibit at the Danish National Muesum for COP15, organized by the NGO Many Strong Voices.  The projects goal was:

to illustrate in a direct and personal way the ethical dimension of the climate change discussion. The goal is to train children in the use of digital media in order to help bring personal stories and faces from vulnerable regions onto the floor of the United Nations Framework on Climate Change (UNFCCC) negotiations in Copenhagen in 2009. It is important that the world be able to see not only effects of climate change but the efforts people are making to both combat and adapt to it.

Below are photos from from Nunavut in Canada and Nesseby in Norway:

The arena in Pangnirtung used to open October or the beginning of November. Now it opens the end of December or beginning of January. The ice doesn’t freeze as much as it used to because of climate change.

The arena in Pangnirtung used to open October or the beginning of November. Now it opens the end of December or beginning of January. The ice doesn’t freeze as much as it used to because of climate change.

We travel a long distances with reindeer in the spring. If there is less snow on the ground it will be more difficult to drive with the snowmobile and it will get harder to graze the herd.

We travel a long distances with reindeer in the spring. If there is less snow on the ground it will be more difficult to drive with the snowmobile and it will get harder to graze the herd.

Modelling climate trajectories in Copenhagen

My systems modelling colleague Tom Fiddaman has been working to develop a policy screening simulation model to aid with climate negotiations.  He and his colleagues at Climate Interactive have developed a simple integrated energy and climate model C-ROADSSome negotiators are running on their laptop computers to evaluate alternate proposals.  Climate Interactive are using it at COP15 to provide dynamic updates of the consquences of different policy proposals.  An updated figure is shown in the figure above.

On the Climate Interactive website they write:

…how close do current proposals bring the world to climate goals such as stabilizing CO2 concentrations at 350ppm or limiting temperature increase to 2°C? The challenges of adding up proposals that are framed in multiple ways and the difficulty of determining long-term impacts of any given global greenhouse gas emissions pathway are just as present for citizens as they are for policy makers and political leaders.

With these facts in mind, our team is tracking the proposals under consideration and using the same climate change simulation available to policy-makers to report our estimate of how close ‘current proposals’ come to realizing climate goals. And we are aiming to do it in real-time as the summit unfolds.

Calculations in the Climate Scoreboard are made in C-ROADS, a scientifically reviewed climate simulator built using the system dynamics methodology that is designed to aggregate the proposals of 15 countries and country groups and calculate the climate impacts such as carbon dioxide concentration and temperature.  C-ROADS was built by Sustainability Institute, Ventana Systems, and the Sloan School of Management at MIT.

Follow these links to understand more about C-ROADS, explore its site, read the scientific review, read the reference guide, read user quotes, read the “Frequently Asked Questions”, or experiment with the online, CO2-focused, three region version, C-Learn.

To view more Scoreboard results beyond the temperature values shown in the “widget” image, view the table of proposals, download a PowerPoint file with graphs, consult the “Frequently Asked Questions” and view an Excel file that includes a table of references for the proposals, lists our modeling assumptions, and shares C-ROADS output for the proposals.

The non-suprising dynamics of climate change

On his weblog Open Mind Tamino makes some graphs of decadal climate change.  He writes:

Those who are in denial of global warming insist that the last decade of global temperature contradicts what was expected by mainstream climate scientists.

Here’s global temperature data from NASA GISS before the 21st century, for the time span 1975 to 2000:

I’ve computed and plotted a trend line using linear regression. In addition, I’ve plotted dashed lines two standard deviations above and below the trend line — we expect most of the data to fall within these dashed lines. Finally, I’ve projected those lines out to the present day.

That’s what mainstream climate scientists expected to happen.

Here’s what actually happened.

Gosh. What actually happened is exactly what was expected. Exactly. By mainstream climate scientists. You know, those folks who keep telling us that human activity is warming the planet and that it’s dangerous.

Tamino also shows that various alternative climate data sets show the same pattern. And as Nature reports the UK Met Office shows the last decade was the warmest recorded, since instrumental records began in 1850.

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