Interannual Climate Variation, Climate Prediction, and Agricultural Trade


Book Description

Agriculture remains sensitive to variation in rainfall and temperature. Fortunately, our ability to predict the lower frequency variation in the earth's atmosphere is increasing rapidly. While information cannot affect the underlying source of variability, it allows unexpected shocks to be anticipated and acted upon. This paper develops and analyzes an intertemporal Ricardian trade model with Bayesian beliefs. Results in this paper show that improved climate prediction reduces expected prices, but increases price variability. In addition, trade is crucial to realizing the potential benefits of climate prediction. The value of climate prediction is highest with both storage and trade, and falls by over 300% when a country is in autarky.




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.




Increasing Climate Variability and Change


Book Description

This book reviews the latest assessments of climate variability and climate change, and their impacts on agriculture and forestry, and recommends appropriate adaptation strategies for reducing the vulnerability of agriculture and forestry to climate variability and climate change. Among other solutions, the text offers management strategies to mitigate greenhouse gas emissions from different agroecosystems, and proposes the use of seasonal climate forecasts to reduce climate risk.




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.




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.




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.




Climate Prediction and Agriculture


Book Description

Based on an International Workshop held in Geneva in 2005, this book reviews the advances made so far in seasonal climate predictions and their applications for management and decision-making in agriculture. It also identifies the challenges to be addressed in the next 5 to 10 years to further enhance operational applications of climate predictions in agriculture, especially in developing countries.




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.




Does Climate Variability Affect Agricultural Trade?


Book Description

Climate change potentially affects the specialization of production and trade in agricultural markets. Previous studies suggest that changes in temperature and precipitation trend levels have a significant impact on yields, production, and commodity prices. This paper estimates the short-run and long-run effects of climate intra-annual anomalies variability, using temperature and precipitation, on agricultural trade across regions and economic levels. We employ ARDL-based mean-group type estimators on a panel data from 1962 to 2014 covering 102 countries. Our modelling controls for income, comparative advantage in land, productivity, and trade membership. We find a heterogeneous response to climate variability across our estimation panels. Precipitation affects total world agricultural exports, in particular livestock and dairy products; while temperature affects dairy and eggs exports. At the regional level, temperature has negative effects in the short-run in some regions, and a mixed influence in the long-run. Precipitation shows diverse regional impacts in the short and long-run. Further, we find that in the long-run, high-income countries are significantly affected by temperature and precipitation, while temperature positively affects developing countries. These findings on how agricultural export patterns are vulnerable to variations in climatic conditions could be used in further projections considering climate change as a determinant of agricultural trade.




Climate Variability and Agriculture


Book Description

The nature of variability/change of important climatic parameters over some parts of the tropics such as the Indian region have been extensively studied and documented. However, there the major lacunae in the knowledge of the variability change over important regions of the South Asian Monsoon such as Bangladesh, Sri Lanka and Pakistan. The assessments of possible impact of global climate change on critical resources such as agricultural productivity are based on a combination of results from climate model runs for enhanced greenhouse gases and crop models. The uncertainties of climate model predictions on regional scale are, however, well known. Further, there are large inter-model differences in yield predictions even for the same climatic data.