Knowledge-Action Systems for Seasonal to Interannual Climate Forecasting


Book Description

The National Academies' Roundtable on Science and Technology for Sustainability hosted a workshop "Knowledge-Action Systems for Seasonal to Interannual Climate Forecasting" in 2004 to discover and distill general lessons about the design of effective systems for linking knowledge with action from the last decade's experience with the production and application of seasonal to interannual climate forecasts. Workshop participants described lessons they had learned based on their experiences developing, applying, and using decision support systems in the United States, Columbia, Brazil, and Australia. Some of the key lessons discussed, as characterized by David Cash and James Buizer, were that effective knowledge-action systems: define and frame the problem to be addressed via collaboration between knowledge users and knowledge producers; tend to be end-to-end systems that link user needs to basic scientific findings and observations; are often anchored in "boundary organizations" that act as intermediaries between nodes in the system - most notably between scientists and decision makers; feature flexible processes and institutions to be responsive to what is learned; use funding strategies tailored to the dual public/private character of such systems; and require people who can work across disciplines, issue areas, and the knowledgeâ€"action interface.




Knowledge-Action Systems for Seasonal to Interannual Climate Forecasting


Book Description

The National Academies' Roundtable on Science and Technology for Sustainability hosted a workshop "Knowledge-Action Systems for Seasonal to Interannual Climate Forecasting" in 2004 to discover and distill general lessons about the design of effective systems for linking knowledge with action from the last decade's experience with the production and application of seasonal to interannual climate forecasts. Workshop participants described lessons they had learned based on their experiences developing, applying, and using decision support systems in the United States, Columbia, Brazil, and Australia. Some of the key lessons discussed, as characterized by David Cash and James Buizer, were that effective knowledge-action systems: define and frame the problem to be addressed via collaboration between knowledge users and knowledge producers; tend to be end-to-end systems that link user needs to basic scientific findings and observations; are often anchored in "boundary organizations" that act as intermediaries between nodes in the system - most notably between scientists and decision makers; feature flexible processes and institutions to be responsive to what is learned; use funding strategies tailored to the dual public/private character of such systems; and require people who can work across disciplines, issue areas, and the knowledge–action interface.




Knowledge-Action Systems for Seasonal to Interannual Climate Forecasting


Book Description

The National Academies' Roundtable on Science and Technology for Sustainability hosted a workshop "Knowledge-Action Systems for Seasonal to Interannual Climate Forecasting" in 2004 to discover and distill general lessons about the design of effective systems for linking knowledge with action from the last decade's experience with the production and application of seasonal to interannual climate forecasts. Workshop participants described lessons they had learned based on their experiences developing, applying, and using decision support systems in the United States, Columbia, Brazil, and Australia. Some of the key lessons discussed, as characterized by David Cash and James Buizer, were that effective knowledge-action systems: define and frame the problem to be addressed via collaboration between knowledge users and knowledge producers; tend to be end-to-end systems that link user needs to basic scientific findings and observations; are often anchored in "boundary organizations" that act as intermediaries between nodes in the system - most notably between scientists and decision makers; feature flexible processes and institutions to be responsive to what is learned; use funding strategies tailored to the dual public/private character of such systems; and require people who can work across disciplines, issue areas, and the knowledgeâ€"action interface.




Making Climate Forecasts Matter


Book Description

El Nino has been with us for centuries, but now we can forcast it, and thus can prepare far in advance for the extreme climatic events it brings. The emerging ability to forecast climate may be of tremendous value to humanity if we learn how to use the information well. How does society cope with seasonal-to-interannual climatic variations? How have climate forecasts been usedâ€"and how useful have they been? What kinds of forecast information are needed? Who is likely to benefit from forecasting skill? What are the benefits of better forecasting? This book reviews what we know about these and other questions and identifies research directions toward more useful seasonal-to-interannual climate forecasts. In approaching their recommendations, the panel explores: Vulnerability of human activities to climate. State of the science of climate forecasting. How societies coevolved with their climates and cope with variations in climate. How climate information should be disseminated to achieve the best response. How we can use forecasting to better manage the human consequences of climate change.




Applications of Seasonal Climate Forecasting in Agricultural and Natural Ecosystems


Book Description

Climate variability has major impacts in many parts of the world, including Australia. Developments in understanding of the El Niño - Southern Oscillation Phenomenon have introduced some skill in seasonal to inter-annual climate forecasting. Can this skill be harnessed to advantage? Or do we just continue to observe these impacts? How does a decision-maker managing an agricultural or natural ecosystem modify decisions in response to a skillful, but imprecise, seasonal climate forecast? Using Australian experience as a basis, this book focuses on these questions in pursuing means to better manage climate risks. The state of the science in climate forecasting is reviewed before considering detailed examples of applications to: farm scale agricultural decisions (such as management of cropping and grazing systems); regional and national scale agricultural decisions (such as commodity trading and government policy); and natural systems (such as water resources, pests and diseases, and natural fauna). Many of the examples highlight the participatory and inter-disciplinary approach required among decision-makers, resource systems scientists/analysts, and climate scientists to bring about the effective applications. The experiences discussed provide valuable insights beyond the geographical and disciplinary focus of this book. The book is ideally suited to professionals and postgraduate students in ecology, agricultural climatology, environmental planning, and climate science.




Seasonal Climate: Forecasting and Managing Risk


Book Description

Originally formed around a set of lectures presented at a NATO Advanced Study Institute (ASI), this book has grown to become organised and presented rather more as a textbook than as a standard "collection of proceedings". This therefore is the first unified reference ‘textbook’ in seasonal to interannual climate predictions and their practical uses. Written by some of the world’s leading experts, the book covers a rapidly-developing science of prime social concern.




Assessment of Intraseasonal to Interannual Climate Prediction and Predictability


Book Description

More accurate forecasts of climate conditions over time periods of weeks to a few years could help people plan agricultural activities, mitigate drought, and manage energy resources, amongst other activities; however, current forecast systems have limited ability on these time- scales. Models for such climate forecasts must take into account complex interactions among the ocean, atmosphere, and land surface. Such processes can be difficult to represent realistically. To improve the quality of forecasts, this book makes recommendations about the development of the tools used in forecasting and about specific research goals for improving understanding of sources of predictability. To improve the accessibility of these forecasts to decision-makers and researchers, this book also suggests best practices to improve how forecasts are made and disseminated.




Prediction of Interannual Climate Variations


Book Description

It has been known for some time that the behavior of the short-term fluctuations of the earth's atmosphere resembles that of a chaotic non-linear dynamical system, and that the day-to-day weather cannot be predicted beyond a few weeks. However, it has also been found that the interactions of the atmosphere with the underlying oceans and the land surfaces can produce fluctuations whose time scales are much longer than the limits of deterministic prediction of weather. It is, therefore, natural to ask whether it is possible that the seasonal and longer time averages of climate fluctuations can be predicted with sufficient skill to be beneficial for social and economic applications, even though the details of the day-to-day weather cannot be predicted beyond a few weeks. The main objective of the workshop was to address this question by assessing the current state of knowledge on predictability of seasonal and interannual climate variability and to investigate various possibilities for its prediction.




Decision-support Experiments and Evaluations Using Seasonal-to-interannual Forecasts and Observational Data


Book Description

The core mission of the U.S. Climate Change Science Program (CCSP) is to "Facilitate the creation and application of knowledge of the Earth's global environment through research, observations, decision support, and communication". To accomplish this goal, the CCSP has commissioned 21 Synthesis and Assessment Products to summarize current knowledge and evaluate the extent and development of this knowledge for future scientific explorations and policy planning. These Products fall within five goals, namely: 1. Improve knowledge of the Earth's past and present climate and environment, including its natural variability, and improve understanding of the causes of observed variability and change; 2. Improve quantification of the forces bringing about changes in the Earth's climate and related systems; 3. Reduce uncertainty in projections of how the Earth's climate and environmental systems may change in the future; 4. Understand the sensitivity and adaptability of different natural and managed ecosystems and human systems to climate and related global changes; and 5. Explore the uses and identify the limits of evolving knowledge to manage risks and opportunities related to climate variability and change. CCSP Synthesis and Assessment Product 5.3 is one of three products to be developed for the final goal. This Product directly addresses decision-support experiments and evaluations that have used seasonal-to-interannual forecasts and observational data, and is expected to inform (1) decision makers about the experiences of others who have experimented with these forecasts and data in resource management; (2) climatologists, hydrologists, and social scientists on how to advance the delivery of decision­ support resources that use the most recent forecast products, methodologies, and tools; and (3) science and resource man­agers as they plan for future investments in research related to forecasts and their role in decision support.