Climate change
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Temperature data are commonly used to estimate the sensitivity of many societally relevant outcomes, including crop yields, mortality, and economic output, to ongoing climate changes. In many tropical regions, however, temperature measures are often very sparse and unreliable, limiting our ability to understand climate change impacts. Here we evaluate satellite measures of near-surface temperature (Ts) as an alternative to traditional air temperatures (Ta) from weather stations, and in particular their ability to replace Ta in econometric estimation of climate response functions. We show that for maize yields in Africa and the United States, and for economic output in the United States, regressions that use Ts produce very similar results to those using Ta, despite the fact that daily correlation between the two temperature measures is often low. Moreover, for regions such as Africa with poor station coverage, we find that models with Ts outperform models with Ta, as measured by both R 2 values and out-of-sample prediction error. The results indicate that Ts can be used to study climate impacts in areas with limited station data, and should enable faster progress in assessing risks and adaptation needs in these regions.

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Environmental Research Letters
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Sam Heft-Neal
David Lobell
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The potential impacts of climate change on crop productivity are of widespread interest to those concerned with addressing climate change and improving global food security. Two common approaches to assess these impacts are process-based simulation models, which attempt to represent key dynamic processes affecting crop yields, and statistical models, which estimate functional relationships between historical observations of weather and yields. Examples of both approaches are increasingly found in the scientific literature, although often published in different disciplinary journals. Here we compare published sensitivities to changes in temperature, precipitation, carbon dioxide (CO2), and ozone from each approach for the subset of crops, locations, and climate scenarios for which both have been applied. Despite a common perception that statistical models are more pessimistic, we find no systematic differences between the predicted sensitivities to warming from process-based and statistical models up to +2 °C, with limited evidence at higher levels of warming. For precipitation, there are many reasons why estimates could be expected to differ, but few estimates exist to develop robust comparisons, and precipitation changes are rarely the dominant factor for predicting impacts given the prominent role of temperature, CO2, and ozone changes. A common difference between process-based and statistical studies is that the former tend to include the effects of CO2 increases that accompany warming, whereas statistical models typically do not. Major needs moving forward include incorporating CO2 effects into statistical studies, improving both approaches' treatment of ozone, and increasing the use of both methods within the same study. At the same time, those who fund or use crop model projections should understand that in the short-term, both approaches when done well are likely to provide similar estimates of warming impacts, with statistical models generally requiring fewer resources to produce robust estimates, especially when applied to crops beyond the major grains.

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Joann de Zegher is one of nine selected as a SAWIT Challenge Finalist. She will be pitching her sustainable palm oil solution in Jakarta, Indonesia November 17-18, 2016.

FSE is excited to announce that graduate student, Joann de Zegher, is one of the nine innovators chosen in the SAWIT Challenge to pitch her solution to help independent smallholder farmers produce palm oil sustainably. She will present her idea to international businesses, government, and NGO leaders in Jakarta, Indonesia November 17-18, 2016.

The nine finalists submitted their ideas to solve the biggest challenges facing independent smallholder palm oil farmers in Indonesia: financing, farming inputs and best practices, mapping and land tenureship, market information, as well as product traceability and transparency. The innovations are designed to make sustainable, more profitable palm oil production.

The SAWIT Challenge is run by Smallholders Advancing with Technology and Innovation (SAWIT), a partnership between the Oil Palm Smallholders Union, and the Indonesia Business Council for Sustainable Development, with support from the U.S. Agency for International Development.

De Zegher’s solution offers a substantial price incentive to smallholder farmers who comply with buyer sustainability policies, but only passes on a very small portion of the cost to buyers. The innovation leverages the simple fact that small farmers and large buyers have substantially different cash flow needs. It also helps to shorten and strengthen the palm supply chain from smallholder farmers to mill.

 

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The Stanford Center at Peking University (SCPKU) held its second annual Lee Shau Kee World Leaders Forum at the center on Oct 13.  This year’s conference, titled “Climate Change and Clean Energy,” was keynoted by Dr. Steven Chu, the William R. Kenan, Jr., Professor of Physics and Professor of Molecular and Cellular Physiology in the Medical School at Stanford University; the 12th U.S. Secretary of Energy; and co-recipient of the 1997 Nobel Prize in Physics for laser cooling and atom trapping.  Two panel discussions with a diverse set of experts from academia, government, and industry were also part of the event.

After welcoming remarks by SCPKU Director Jean C. Oi and Xiamen University Dean of the School of Energy Research Ning Li, the conference kicked off with the first panel, “Paths to Clean Energy” which centered around two questions:  Is renewable energy feasible and how does China move away from coal as a dominant energy source?  The second panel, “Challenges and Opportunities to Clean Energy,” focused on barriers preventing China from being progressive on climate change.   China’s National Energy Advisory Committee, British Petroleum-China, and the U.S. Commission on Natural Resources Protection were among the organizations represented by panelists.

 

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Panelists discuss climate change and clean energy at SCPKU's World Leaders Forum held October 13.
Courtesy of Stanford University

 

Steven Chu’s keynote wrapped up the forum, which touched on new data reflecting the risks of climate change and the need to continue progress on the development of clean energy.  Regarding the pressing issue of pollution, he cited data from a British study inferring that the risk of contracting lung cancer is 29x higher in Beijing than other cities and highlighted Stanford’s research on nano-fiber filtration as a possible solution.  Chu also spoke on the topic of energy storage and how the full cost of renewable energy needs to account for backup generation capacity, transmission and distribution systems, as well as the storage itself.  Two things, he said, will likely play large roles in the future: high voltage lines (HVDC), and machine learning, which will be needed for largely autonomous management of the electrical grid.  Nuclear energy will also be important to mitigate blackouts when transitioning to clean energy.  In closing, Chu shared a poignant phrase from ancient Native Americans: “We do not inherit the land from our ancestors, we borrow it from our children.” 
 

The purpose of the forum is to raise public understanding of the complex issues China and other countries face in the course of development.  Funded by a generous gift from the Lee Shau Kee Foundation, the forum seeks to increase support for Asia-Pacific cooperation and turn ideas into action.  

 

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Steven Chu poses with SCPKU World Leaders Forum attendees after delivering keynote.
Courtesy of Stanford University

 

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Reception following SCPKU's World Leaders Forum featuring the China National Symphony Orchestra Concert Quartet in
the center's courtyard.
Courtesy of Stanford University

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Steven Chu keynotes SCPKU's second World Leaders Forum.
Stanford University
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Abstract: The term "natural disasters" diminishes the key role that the human context plays in turning a natural event into a disaster. In this talk, I present scientific insights into the physical processes governing the onset and evolution of extreme events and discuss how this improved understanding the challenges and opportunities that these present for decision-makers and communities at risk. More specifically, I will focus on three disasters of special current relevance, ice-sheet disintegration, coastal risk and injection-induced seismicity. The common denominator of what at first glance might seem like disparate systems is multiphase flow. The dynamic interactions between multiple solid and fluid phases, such as ice and melt-water; vegetation and waves; rocks and wastewater; give rise to drastic nonlinearities that govern abrupt changes in system behavior reflected in extreme events.

About the Speaker: Before joining Stanford in January 2014, Suckale held a position as Lecturer in Applied Mathematics and as a Ziff Environmental Fellow at Harvard. She has a PhD in Geophysics from MIT and a Master in Public Administration from the Harvard Kennedy School. Prior to joining graduate school, Suckale worked as a scientific consultant for different international organizations aiming to reduce the impact of natural and environmental disasters in vulnerable communities. This experience motivates her research aimed at reducing disaster risk by advancing our understanding of the physical processes that give rise to the dramatic nonlinearities expressed in extreme events. For many natural systems, these nonlinearities result from the dynamic interactions between solid, fluid and gas phases. Suckale improves our fundamental understanding and predictive capabilities of these complex multi-phase flows by developing original computational methods customized for the problem at hand. The phenomena she explores range from the microscopic to the planetary scale and space a wide variety of geophysics systems such as volcanoes, glaciers, tsunamis and magma oceans. 

Encina Hall, 2nd floor

Jenny Suckale Assistant Professor, Geophysics Speaker Stanford University
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Abstract: Nuclear war and climate change present the two most serious threats to global security since World War II. This talk shows that nuclear weapons research and climate science were historically connected in deep, sometimes intimate ways. Each developed its own knowledge infrastructure, including people, technical systems, and organizations, with surprising parallels and frequent exchanges across the classified/civilian divide. From the 1940s on, nuclear weapons research and climate science both relied heavily on computer models, used related physics and numerical methods, and shared human as well as technical resources. Radiocarbon from nuclear weapons tests contributed to understanding of the global carbon cycle, while fallout monitoring networks produced critical knowledge about the stratosphere. In the 1980s, the potential for “nuclear winter” — a war-induced climatic catastrophe — became a major political issue, but the groundwork for this concern had been laid long before.

This interplay not only continued, but became even more significant after the Cold War’s end, when the weapons labs’ expertise, equipment, and observing systems were partially repurposed. Several US national laboratories now play essential roles in climate and Earth system science. Among these roles are the Program on Climate Model Diagnosis and Intercomparison, based at Livermore and responsible for the important Coupled Model Intercomparison Project (CMIP), a major unifying force in climate modeling for the Intergovernmental Panel on Climate Change assessments. The cyberinfrastructure underlying CMIP and similar projects must address mounting challenges related to data access controls, software support, and the security of huge data collections, while their institutional and human bases depend on ongoing national support. Crafting effective climate policy, I argue, will require understanding and rethinking the dynamics of these knowledge infrastructures for the present, rapidly evolving context.

About the Speaker: Paul Edwards is a Professor in the School of Information (SI) and the Dept. of History at the University of Michigan. SI is an interdisciplinary professional school focused on bringing people, information, and technology together in more valuable ways.

His research explores the history, politics, and cultural aspects of computers, information infrastructures, and global climate science. His current research focuses on knowledge infrastructures for the Anthropocene.

Dr. Edwards is co-editor (with Geoffrey C. Bowker) of the Infrastructures book series (MIT Press), and he serves on the editorial boards of Big Data & Society: Critical Interdisciplinary Inquiries and Information & Culture: A Journal of History. His most recent book is A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming (MIT Press, 2010).

 

 

Paul Edwards Professor of Information and History University of Michigan
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Join us for a free screening of "Seeds of Time: One man's journey to save the future of our food"  from Academy Award nominated director Sandy McLeod.

Synposis:

A perfect storm is brewing as agriculture pioneer Cary Fowler races against time to protect the future of our food. Seed banks around the world are crumbling, crop failures are producing starvation and rioting, and the accelerating effects of climate change are affecting farmers globally. Communities of indigenous Peruvian farmers are already suffering those effects, as they try desperately to save over 1,500 varieties of native potato in their fields. But with little time to waste, both Fowler and the farmers embark on passionate and personal journeys that may save the one resource we cannot live without: our seeds.

Dr. Fowler is at Stanford as a visiting scholar with FSE and will introduce the film, then answer questions following the screening.

Read the New Yorker article about Dr. Fowler's work and learn more about the film.

Lunch will be served.

Free and open to the public. Please RSVP

Dr. Cary Fowler
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There have been dramatic advances in understanding the physical science of climate change, facilitated by substantial and reliable research support. The social value of these advances depends on understanding their implications for society, an arena where research support has been more modest and research progress slower. Some advances have been made in understanding and formalizing climate-economy linkages, but knowledge gaps remain [e.g., as discussed in (1, 2)]. We outline three areas where we believe research progress on climate economics is both sorely needed, in light of policy relevance, and possible within the next few years given appropriate funding: (i) refining the social cost of carbon (SCC), (ii) improving understanding of the consequences of particular policies, and (iii) better understanding of the economic impacts and policy choices in developing economies.

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Gaps in social science knowledge of climate change constrain the policy impact of natural science research, a Stanford team argues.


Scientists have made huge strides in understanding the physical and biological dimensions of climate change, from deciphering why climate has changed in the past to predicting how it might change in the future.

As the body of knowledge on the physical science of climate grows, a missing link is emerging: What are the economic and social consequences of changes in the climate and efforts to control emissions of greenhouse gases?

In a new paper in the journal Science, a team led by Stanford professors Charles Kolstad and Marshall Burkeargues that relatively low funding for social science research has contributed to a knowledge gap about what climate change means for human society. This knowledge gap, they argue, renders the large advances in natural science less useful than they could be for policymakers.

The paper highlights three research questions with the greatest potential to close that gap:

 

What is the true cost of carbon emissions?

The social cost of carbon (SCC) is a dollar value estimate of future social and economic damages caused by each present-day metric ton of carbon emissions. It can also be thought of as the amount of money society saves, in terms of damage avoided, by not emitting an additional metric ton of carbon.

"The SCC is a key policy measurement that's already being used in U.S. government regulations. But existing estimates have shortcomings and these need fixing if we are going to make the correct policy decisions around climate change," said Burke, an assistant professor at Stanford School of Earth, Energy and Environmental Sciences, a center fellow at the Freeman Spogli Institute for International Studies and a faculty fellow at the Stanford Institute for Economic Policy Research.

Current SCC calculations leave out several important factors. For example, what is the economic cost of extreme climate events such as floods and droughts? How should economists estimate "non-market" damages that are exacerbated by climate change, such as armed conflict, disease epidemics and deforestation? In what parts of the world does climate change slow or accelerate economic growth? Can farmers avoid lost income from climate change by adapting their crop choices and planting schedules?

"Getting the social cost of carbon right is most pressing, given its importance to policy," said Kolstad, a senior fellow at the Stanford Institute for Economic Policy Research and at the Precourt Institute for Energy. "It's also an area where rapid research progress should be possible."

 

What emissions mitigation policies are best?

Once researchers agree on the true cost of carbon, there are many policy options for reducing emissions. Industry regulations and subsidies for renewable energy are popular policy choices for governments all over the world, but they may be weaker at cutting emissions than less politically popular options like carbon pricing or tradeable carbon emission permits.

"Until we understand more about the benefits and tradeoffs of different carbon pricing options, governments are almost flying blind on climate mitigation policy," Kolstad said. "When we can make a clear economic case for one policy over the other, we can better align decisions about carbon pricing systems with their actual costs and benefits and, as a result, strengthen political support for action." 

 

What role do developing countries play?

Most of the existing research on climate economics tends to focus on wealthy countries, even though developing countries now contribute more total greenhouse gas emissions. Poorer countries also often face a different policy environment than richer countries and are potentially more economically vulnerable to changes in climate.

"We need better evidence on how impacts of climate change might differ in developing countries, as well as a deeper understanding of the climate policy choices faced by developing country governments," Burke said.


Twenty-eight leading economists contributed to the Science paper, a fact that Burke pointed to as evidence of broad consensus on the need for more economic research on climate change.

The biggest roadblock, the authors agree, is funding.

"The research problems are tough for both natural scientists and economists, but research support has been much more modest in economics, so far fewer people are working in the area and progress has been slower," Kolstad said.

"Dozens of teams of physical scientists around the world work with the exact same climate simulations and compare results to estimate future climate change," Burke said.  "Economists are just starting to do something similar, and as this collaboration develops I think it will be immensely valuable. There's a strong argument for spending research dollars on understanding the economic and social implications of that physical science. Social science is relatively cheap, so extra funding can go a long way."

Kolstad encourages young researchers to pursue the "many interesting, socially relevant questions in this field" and advises governments to work together to strengthen long-term research funding and support for graduate students and postdoctoral researchers. "Otherwise," he said, "the large sums spent on natural science will be poorly targeted."


CONTACT:

Charles Kolstad, SIEPR: ckolstad@stanford.edu, (650) 721-1663

Marshall Burke, Earth System Science: mburke@stanford.edu, (650) 721-2203

Laura Seaman, Food Security and the Environment: lseaman@stanford.edu, (650) 723-4920

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We're being warned of future grain failures—not by the dreams of a biblical Pharaoh, but by modern computer model predictions. Climate science forecasts rising temperatures, changing rainfall patterns, and episodes of increasingly extreme weather, which will harm crop yields at a time when the world's growing population can ill afford declines, especially in its most productive areas, such as the US Midwest. In order to adequately prepare, we call for the establishment of a new field research network across the US Midwest to fully integrate all methods for improving cropping systems and leveraging big data (agronomic, economic, environmental, and genomic) to facilitate adaptation and mitigation. Such a network, placed in one of the most important grain-producing areas in the world, would provide the set of experimental facilities, linked to farm settings, needed to explore and test the adaptation and mitigation strategies that already are needed globally.

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