Professor Downing found that constructed ponds and lakes on farmland in the United States bury carbon at a much higher rate than expected; as much as 20-50 times the rate at which trees trap carbon. In addition, ponds were found to take up carbon at a higher rate than larger lakes.

“Aquatic ecosystems play a disproportionately large role in the global carbon budget,” Downing said. “Despite being overlooked in the past, it’s small bodies of water that are important because they take up carbon at a high rate and there are more of them than previously thought. The combined effect is that farm ponds could be burying as much carbon as the world’s oceans, each year.”

Ponds capture carbon in two main ways:

The research estimated there are 304 million natural lakes and ponds in the world, covering an area of 4.2 million square kilometers, twice the area previously thought. As many as 90 percent of these water bodies are one hectare (two acres) or less in area.

Downing’s research team published its most recent findings in the Feb. 15 issue of the journal Global Biogeochemical Cycles in a paper titled, “Sediment organic carbon burial in agriculturally eutrophic impoundments over the last century.” The team included members from Europe, the United States and Canada. The work was sponsored by the National Center for Ecological Analysis and Synthesis and the Iowa Department of Natural Resources.

Downing has presented invited seminars on this research to the International Society of Limnology, the American Society of Limnology and Oceanography, and at several major research institutions in North America and Europe. Most recently, he was invited to discuss his research by the Pond Conservation, a charity in the United Kingdom dedicated to creating and protecting ponds and the wildlife they support. He will spoke today at University College London. An upcoming presentation is scheduled for the annual meeting of the European Pond Conservation Network in Valencia, Spain.

Jeremy Biggs, Pond Conservation director of policy and research, said the research has exciting implications. “It may be that ponds will be the modern equivalent of the swamps that formed coal in the past. But before we all rush into making ponds to trap carbon we need to do some basic research here in the UK. If the rate of carbon uptake in ponds in Europe is the same as that found in the USA study, we may well have discovered an important new natural way of trapping carbon,” he said.

Downing’s ongoing research, partnering with the United States Geological Survey, and his contributions to the Iowa Lakes Survey will investigate the role of small Iowa lakes in the absorption of atmospheric carbon dioxide and other important gases such as methane.

[John Downing @ Iowa State University]

Developed by the creative team that brings you Make — the groundbreaking magazine devoted entirely to DIY technology — and authored by Matthew Weaver and Duane Wessels, this latest title presents clear, easy-to-follow instructions for making your own easily customizable geeky devices by learning how to build and customize small form factor PCs from scratch.

“We want to show you how they work, how they look (inside and outside), and how you can use them,” write Weaver and Wessels. “We’ve written this book for people who like to tinker with both computer hardware and software.”

The book is also written for those of us who think smaller is better when it comes to computers. As Wessels elaborates, “Nobody wants a large, noisy, 200-Watt computer sitting on their entertainment center. And why use a full-size computer for your network firewall when a much smaller computer gets the job done while using only 1/10th the power? We want people to see how easy and fun it is to turn a small form factor computer into something that you can use in your home or workplace.”

The projects devised by Weaver and Wessels include all the necessary details for building eight different systems, from the shoebox-sized Shuttle system down to the stick-of-gum sized gumstix.

Thorough illustrations and step-by-step instructions make creating these projects easy:

• Digital Jukebox. Play your music collection with this Mini-ITX system that will fit anywhere
• Digital Video Recorder. Record and watch live television using a Shuttle ST62k-based system
• Network Appliances. Create and configure your own router and network monitor using embedded computers from Soekris
• Wi-Fi Extender. Extend the range of your Wi-Fi network with the Access Cube
• Portable Firewall. Protect your computer from unknown networks with a USB-powered firewall based on the OpenBlockS
• Handheld Wi-Fi Console. Turn the ZipIt Wireless Messenger into a go-anywhere, text-only, wireless handheld
• Tiny Bluetooth gizmo. Use the Bluetooth-powered gumstix computer to talk to cell phones, PDAs, and more

Shoebox sized and smaller, small form factor PCs can pack as much computing muscle as everything from a PDA to a full-sized desktop computer. Even better, they consume less power, have few or no moving parts, and are very quiet. Whether you plan to use one as a standalone PC or want to embed it in your next hacking project, this new up-to-the-minute resource from Make Projects is a must.

Berkeley Lab has signed a collaboration agreement with Tensilica, Inc. to explore the use of Tensilica’s Xtensa processor cores as the basic building blocks in a massively parallel system design. Tensilica’s Xtensa processor is about 400 times more efficient in floating point operations per watt than the conventional server processor chip shown here.

In a paper published in the May issue of the International Journal of High Performance Computing Applications, Michael Wehner and Lenny Oliker of Berkeley Lab’s Computational Research Division, and John Shalf of the National Energy Research Scientific Computing Center (NERSC) lay out the benefit of a new class of supercomputers for modeling climate conditions and understanding climate change. Using the embedded microprocessor technology used in cell phones, iPods, toaster ovens and most other modern day electronic conveniences, they propose designing a cost-effective machine for running these models and improving climate predictions.

In April, Berkeley Lab signed a collaboration agreement with Tensilica, Inc. to explore such new design concepts for energy-efficient high-performance scientific computer systems. The joint effort is focused on novel processor and systems architectures using large numbers of small processor cores, connected together with optimized links, and tuned to the requirements of highly-parallel applications such as climate modeling.

Understanding how human activity is changing global climate is one of the great scientific challenges of our time. Scientists have tackled this issue by developing climate models that use the historical data of factors that shape the earth’s climate, such as rainfall, hurricanes, sea surface temperatures and carbon dioxide in the atmosphere. One of the greatest challenges in creating these models, however, is to develop accurate cloud simulations.

Although cloud systems have been included in climate models in the past, they lack the details that could improve the accuracy of climate predictions. Wehner, Oliker and Shalf set out to establish a practical estimate for building a supercomputer capable of creating climate models at 1-kilometer (km) scale. A cloud system model at the 1-km scale would provide rich details that are not available from existing models.

To develop a 1-km cloud model, scientists would need a supercomputer that is 1,000 times more powerful than what is available today, the researchers say. But building a supercomputer powerful enough to tackle this problem is a huge challenge.

Historically, supercomputer makers build larger and more powerful systems by increasing the number of conventional microprocessors — usually the same kinds of microprocessors used to build personal computers. Although feasible for building computers large enough to solve many scientific problems, using this approach to build a system capable of modeling clouds at a 1-km scale would cost about $1 billion. The system also would require 200 megawatts of electricity to operate, enough energy to power a small city of 100,000 residents.

In their paper, Towards Ultra-High Resolution models of Climate and Weather, the researchers present a radical alternative that would cost less to build and require less electricity to operate. They conclude that a supercomputer using about 20 million embedded microprocessors would deliver the results and cost $75 million to construct. This “climate computer” would consume less than 4 megawatts of power and achieve a peak performance of 200 petaflops.

“Without such a paradigm shift, power will ultimately limit the scale and performance of future supercomputing systems, and therefore fail to meet the demanding computational needs of important scientific challenges like the climate modeling,” Shalf said.

The researchers arrive at their findings by extrapolating performance data from the Community Atmospheric Model (CAM). CAM, developed at the National Center for Atmospheric Research in Boulder, Colorado, is a series of global atmosphere models commonly used by weather and climate researchers.

The “climate computer” is not merely a concept. Wehner, Oliker and Shalf, along with researchers from UC Berkeley, are working with scientists from Colorado State University to build a prototype system in order to run a new global atmospheric model developed at Colorado State.

“What we have demonstrated is that in the exascale computing regime, it makes more sense to target machine design for specific applications,” Wehner said. “It will be impractical from a cost and power perspective to build general-purpose machines like today’s supercomputers.”

Under the agreement with Tensilica, the team will use Tensilica’s Xtensa LX extensible processor cores as the basic building blocks in a massively parallel system design. Each processor will dissipate a few hundred milliwatts of power, yet deliver billions of floating point operations per second and be programmable using standard programming languages and tools. This equates to an order-of-magnitude improvement in floating point operations per watt, compared to conventional desktop and server processor chips. The small size and low power of these processors allows tight integration at the chip, board and rack level and scaling to millions of processors within a power budget of a few megawatts.

Berkeley Lab is a U.S. Department of Energy national laboratory located in Berkeley, California. It conducts unclassified scientific research and is managed by the University of California. Visit our Website at www.lbl.gov.

[Ucilia Wang @ DOE/Lawrence Berkeley National Laboratory]

By JOHN GEROME Sunday, May 11, 2008 Carrie Underwood is the newest member of the Grand Ole Opry. via WQXI-AM Atlanta