We analyze recent global temperature reconstructions over several centuries in time based on calibrations of temperature patterns against global networks of long instrumental and “proxy” data (natural archives such as ice cores, corals, and tree rings), focusing on long-term climatic variations in the Middle East. The pattern of global warming of the past century does not show a strong influenc...

This report concerns a study which was conducted for SKB. The conclusions and viewpoints presented in the report are those of the authors and do not necessarily coincide with those of the client. Summary Knowledge about climatic variations is essential for SKB in its safety assessments of a geological repository for spent nuclear waste. There is therefore a need for information about possible f...

s Statistical seasonal climate forecasting in Australia: An historical overview Dr Roger Stone......................................................................................................................................................................................18 The scientific basis of seasonal climate prediction Dr Scott Power.......................................................

A better understanding on natural climate variability is crucial for global climate change studies and the evaluation of the sensitivity of the climate system to perturbations. External forcing factors might contribute substantially to both high and low frequency variations in climate but a clear separation of their impact from internally forced fluctuations is difficult. We focus on solar irra...

Concurrent changes in ocean chemical and physical properties influence phytoplankton dynamics via alterations in carbonate chemistry, nutrient and trace metal inventories and upper ocean light environment. Using a fully coupled, global carbon-climate model (Climate System Model 1.4-carbon), we quantify anthropogenic climate change relative to the background natural interannual variability for t...

Statistical methods of climate prediction Analog year forecasts Dynamical climate models Presentation of uncertainty Predicting seasonal climate variability and climate change Conclusions Effects of predictable climate variability on harvests and incomes What are farmers' information needs? How can climate information be best communicated to farmers? Factors limiting farmers' use of climate inf...

[1] Natural climate variability will continue to be an important aspect of future regional climate even in the midst of long-term secular changes. Consequently, the ability of climate models to simulate major natural modes of variability and their teleconnections provides important context for the interpretation and use of climate change projections. Comparisons reported here indicate that the ...

The health sector component of the first U.S. National Assessment, published in 2000, synthesized the anticipated health impacts of climate variability and change for five categories of health outcomes: impacts attributable to temperature, extreme weather events (e.g., storms and floods) , air pollution, water- and food-borne diseases, and vector- and rodent-borne diseases. The Health Sector As...