Wednesday, September 10, 2014
Avery Dining Hall – Avery House

RESCHEDULED to Sept 24th: A chance to meet Pasadena Unified School District Leadership

Checking the First Data from OCO-2

On July 2, NASA successfully launched its first satellite dedicated to measuring carbon dioxide in Earth's atmosphere. The Orbiting Carbon Observatory-2 (OCO-2) mission—operated by NASA's Jet Propulsion Laboratory—will soon provide atmospheric carbon dioxide measurements from thousands of points all over the planet. Last week, the satellite reached its proper orbit—meaning that it is now beginning to return its first data to Earth.

Data from the satellite will be used to help researchers understand the anthropogenic and natural sources of CO2, and how changing levels of the greenhouse gas may affect Earth's climate. But before OCO-2 provides scientists with such a global picture of the carbon cycle—where carbon is being produced and absorbed on Earth—researchers have to convert raw satellite data into a CO2 reading and then, just as importantly, make sure that the reading is accurate. A team of Caltech researchers is playing an instrumental role in this effort.

As it orbits, OCO-2 provides data about levels of atmospheric CO2 by measuring the sunlight that reflects off Earth, below. "OCO-2 measures something that is related to the CO2 measurement we want but it's not directly what we want. So from the reflected light, we have to extract the information about CO2," says Yuk Yung, the Smits Family Professor of Planetary Science.

The process begins with the satellite's instrument, a set of high-resolution spectrometers that measure the intensity of sunlight at different wavelengths, or colors, after it has passed twice through the atmosphere—once from the sun to the surface, and then back from the surface to space. As the satellite orbits, systematically slicing over sections of Earth's atmosphere, it will collect millions of these measurements.

"OCO-2 will provide the measurements of this light at different wavelengths in millions of what we call spectra, but spectra aren't what we really want—what we really want is to know how much carbon dioxide is in the atmosphere," Yung says. "But to get the CO2 information from the spectra, we have to do what's called data retrieval—and that's one of my jobs."

The data retrieval method that Yung and his colleagues designed for OCO-2 compares the light spectra collected by the satellite to a model of how light spectra would look—based on the laws of physics and knowledge of how efficiently CO2 absorbs sunlight. This knowledge, in turn, is derived from laboratory measurements made by Caltech professor of chemical physics Mitchio Okumura and his colleagues at JPL and the National Institute of Standards and Technology.

"To make scientifically meaningful measurements, OCO-2 has to detect CO2 with better than 0.3 percent precision, and that has meant going back to the lab and measuring the spectral properties with extraordinarily high precision," Okumura says. From this retrieval, the researchers determine the amount of CO2 in the atmosphere above each of OCO-2's sampling points.

However, when OCO-2 sends its first CO2 measurements back to Earth for analysis, they'll still have to go through one more check, says Paul Wennberg, the R. Stanton Avery Professor of Atmospheric Chemistry and Environmental Science and Engineering.

"Although the OCO-2 retrieval will calculate the amount of carbon dioxide above the point where the spectrometers pointed, we know that these initial numbers will be wrong until the data are calibrated," Wennberg says. Wennberg and his team provide this calibration with their Total Carbon Column Observing Network (TCCON), a ground-based network of instruments that measure atmospheric CO2 from approximately 20 locations around the world.

TCCON and OCO-2 provide the same type of CO2 measurement—what is called a column average of CO2. This measurement provides the average abundance of CO2 in a column from the ground all the way up through Earth's atmosphere.

About once per day, the OCO-2 instrument will be commanded to point at one of TCCON's stations continuously as it passes overhead. By comparing the Earth-based and space-based measurements, researchers will evaluate the data that they receive from the satellite and improve the retrieval method.

The complete, high-quality information OCO-2 provides about global CO2 levels will be important for researchers and policymakers to determine how human activity influences the carbon cycle—and how these activities contribute to our changing planet.

"A lot of the very first satellites were developed to study astronomy and planets far away. But there has been a shift. Our changing climate means that we now have a big need to study Earth," and the information OCO-2 provides about our atmosphere will be an important part of filling that need, says Yung.

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Study of Aerosols Stands to Improve Climate Models

Aerosols, tiny particles in the atmosphere, play a significant role in Earth's climate, scattering and absorbing incoming sunlight and affecting the formation and properties of clouds. Currently, the effect that these aerosols have on clouds represents the largest uncertainty among all influences on climate change.

But now researchers from Caltech and the Jet Propulsion Laboratory have provided a global observational study of the effect that changes in aerosol levels have on low-level marine clouds—the clouds that have the largest impact on the amount of incoming sunlight that Earth reflects back into space. The findings appear in the advance online version of the journal Nature Geoscience.

Changes in aerosol levels have two main effects—they alter the amount of clouds in the atmosphere and they change the internal properties of those clouds. Using measurements from several of NASA's Earth-monitoring satellites from August 2006 through April 2011, the researchers quantified for the first time these two effects from 7.3 million individual data points.

"If you combine these two effects, you get an aerosol influence almost twice that estimated in the latest report from the Intergovernmental Panel on Climate Change," says John Seinfeld, the Louis E. Nohl Professor and professor of chemical engineering at Caltech. "These results offer unique guidance on how warm cloud processes should be incorporated in climate models with changing aerosol levels."

The lead author of the paper, "Satellite-based estimate of global aerosol-cloud radiative forcing by marine warm clouds," is Yi-Chun Chen (Ph.D. '13), a NASA postdoctoral fellow at JPL. Additional coauthors are Matthew W. Christensen of JPL and Colorado State University and Graeme L. Stephens, director of the Center for Climate Sciences at JPL. The work was supported by funding from NASA and the Office of Naval Research.

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Kimm Fesenmaier
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Friday, October 10, 2014
Center for Student Services 360 (Workshop Space) – Center for Student Services

Course Ombudsperson Training

Wednesday, January 7, 2015
Center for Student Services 360 (Workshop Space) – Center for Student Services

Head TA Network

Thursday, September 25, 2014

Head TA Network

Wednesday, November 5, 2014
Center for Student Services 360 (Workshop Space) – Center for Student Services

HALF TIME: A Mid-Quarter Meetup for TAs

Thursday, April 9, 2015
Center for Student Services 360 (Workshop Space) – Center for Student Services

Ombudsperson Training

Friday, October 3, 2014
Center for Student Services 360 (Workshop Space) – Center for Student Services

TA Training

Watching Nanoscale Fluids Flow

At the nanoscale, where objects are measured in billionths of meters and events transpire in trillionths of seconds, things do not always behave as our experiences with the macro-world might lead us to expect. Water, for example, seems to flow much faster within carbon nanotubes than classical physics says should be possible. Now imagine trying to capture movies of these almost imperceptibly small nanoscale movements.

Researchers at Caltech now have done just that by applying a new imaging technique called four-dimensional (4D) electron microscopy to the nanofluid dynamics problem. In a paper appearing in the June 27 issue of Science, Ahmed Zewail, the Linus Pauling Professor of Chemistry and professor of physics, and Ulrich Lorenz, a postdoctoral scholar in chemistry, describe how they visualized and monitored the flow of molten lead within a single zinc oxide nanotube in real time and space.

The 4D microscopy technique was developed in the Physical Biology Center for Ultrafast Science and Technology at Caltech, created and directed by Zewail to advance understanding of the fundamental physics of chemical and biological behavior. 

In 4D microscopy, a stream of ultra-fast-moving electrons bombards a sample in a carefully timed manner. Each electron scatters off the sample, producing a still image that represents a single moment, just a femtosecond—or a millionth of a billionth of a second—in duration. Millions of the still images can then be stitched together to produce a digital movie of nanoscale motion.

In the new work, Lorenz and Zewail used single laser pulses to melt the lead cores of individual zinc oxide nanotubes and then, using 4D microscopy, captured how the hot pressurized liquid moved within the tubes—sometimes splitting into multiple segments, producing tiny droplets on the outside of the tube, or causing the tubes to break. Lorenz and Zewail also measured the friction experienced by the liquid in the nanotube.

"These observations are particularly significant because visualizing the behavior of fluids at the nanoscale is essential to our understanding of how materials and biological channels effectively transport liquids," says Zewail. In 1999, Zewail won the Nobel Prize for his development of femtosecond chemistry.

The paper is titled "Observing liquid flow in nanotubes by 4D electron microscopy." The work was supported by the National Science Foundation, the Air Force Office of Scientific Research, and the Gordon and Betty Moore Foundation. Lorenz was partially supported by a fellowship from the Swiss National Science Foundation.

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Kimm Fesenmaier
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