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The report identifies a critical gap between climate science outputs and the operational needs of transportation practitioners. It argues that adaptation requires not only improved climate data—such as updated precipitation atlases and sea-level rise projections—but also a deep understanding of local non-climate factors like infrastructure elevation and soil saturation. The document emphasizes the need for a 'central clearinghouse' of information, better 'Climate-to-English' translation of scientific terms, and the integration of climate risk into existing asset management and budgeting processes. It highlights various pilot projects and tools, including the FHWA Risk Assessment Model and Toronto's Climate Change Risk Assessment Tool, as pathways toward increasing the adaptive capacity of transportation systems.

The analysis reveals that the FUND model, used by the U.S. government to calculate the social cost of carbon, relies on outdated research from 1996 or earlier and contains significant modeling errors in its temperature-yield equations. The model projects a net benefit for agriculture due to CO2 fertilization, though this is offset by other climate damages.

The 19th Special CoP of the IAI resolved to transition the IAI Directorate to a distributed model across Argentina, Brazil, and Uruguay to address operational challenges and expand science-policy capabilities. The resolution establishes a tripartite structure where Argentina hosts communications and policy, Brazil hosts science development, and Uruguay manages overall coordination and finance. An ad hoc committee comprising Argentina, Brazil, Canada, Uruguay, and the United States was tasked with drafting a detailed proposal for implementation by the end of 2012, ensuring the transition is budget-neutral and consistent with the IAI agreement.

The IAI report for 2011-2012 details the conclusion of the Second Collaborative Research Network (CRNII) and the Small Grants Program for Human Dimensions (SGP-HD), highlighting their roles in enhancing regional scientific capacity and interdisciplinary research. Key research findings focus on land-use change and carbon emissions in the La Plata basin, biodiversity risks in the tropical Andes, and the role of the Patagonian shelf in global CO2 balance. The report also outlines new funding awards for 2012-2018 and capacity-building initiatives in climate health and water management. However, it documents severe operational instability in Brazil, including staffing contract irregularities and unresolved tax disputes involving the Brazilian Revenue Service.

The report examines 'development without carbon' (DWC) in Latin America and the Caribbean, focusing on hydropower's role. While hydropower provides 46% of the region's electricity and has significant untapped potential, climate change—specifically glacier retreat in the Andes and rainfall variability—threatens production reliability. The authors advocate for moving away from static planning toward flexible infrastructure and the use of integrated Water Evaluation And Planning (WEAP) and Long-range Energy Alternatives Planning (LEAP) tools to manage water-energy tradeoffs and climate uncertainty.

The document analyzes river flood risks in the EU27, finding that combined climate and socio-economic changes could increase expected annual damages (EAD) from €5.5 billion in the baseline period to €97.9 billion by the 2080s under a medium-high emission scenario (A1B). It emphasizes that socio-economic growth is as significant a driver of damage as climate change. Adaptation to maintain 1-in-100-year protection levels is projected to provide substantial benefits, reducing EAD by up to €50 billion per year by the 2080s, with estimated annual adaptation costs rising to €7.9 billion in the same period. The report highlights significant uncertainty across different climate models, which can project opposite directions of risk change at local levels, necessitating flexible and robust adaptation strategies.

The IAI Directorate Report for 2011 details the transition toward establishing 'Centers of Excellence' for water security, the synthesis of research on land-use and climate interactions, and the implementation of regional training institutes. It highlights scientific findings on the importance of climate volatility over long-term trends and the role of biophysical changes in land-use. The report also addresses significant operational challenges in Brazil, including staffing instability and unresolved host country agreement amendments, while noting renewed financial and political engagement from several member countries.

The 30th IAI Executive Council meeting focused on governance, strategic planning, and member engagement. Key outcomes included the election of a new Board, the establishment of a working group for a new Strategic Plan, and efforts to revitalize relationships with non-participatory member countries. The Council also discussed the synthesis of the CRN Program, balancing the continuity of established research networks with the need to recruit new scientific groups, and coordinated potential activities at the UNFCCC in Cancún.

The authors analyze the FUND model, which provided a significantly lower Social Cost of Carbon (SCC) estimate of $6 compared to other models like DICE ($28) and PAGE ($30). By disaggregating the model, they find that the low SCC is primarily driven by a large estimated net benefit in agriculture, largely due to CO2 fertilization. The paper identifies three technical issues in FUND's agricultural modeling: a risk of division by zero in the optimum temperature equation, the use of physically implausible temperature ranges in Monte Carlo analysis, and the use of truncated normal distributions that inflate the carbon fertilization effect. The authors argue that updating FUND with recent empirical research—which suggests smaller CO2 fertilization benefits and non-quadratic temperature impacts—would significantly increase the SCC estimate.

The Inter-American Institute for Global Change Research (IAI) planned a series of training institutes and science programs between July 2010 and June 2011, focusing on seasonal climate predictions, urban responses to climate change, and biodiversity in the Andes. Key initiatives included a MacArthur Foundation project to assess research and institutional needs for Andean biodiversity and a research internship program with IAI-INPE/CPTEC.

The project uses proxy data—including coral, stalagmites, tree-rings, and coastal lagoon sediments—to analyze past Caribbean hurricane activity and its relationship with sea surface temperatures and climate patterns. Initial findings indicate that higher hurricane activity before AD 1550 and after 1750 correlates with warmer sea surfaces, with peaks occurring during the Medieval period (AD 900-1100) and since 1980. The study also highlights the role of the Intra-Americas Low-Level Jet (IALLJ) in affecting storm strength and notes significant population vulnerability along the U.S. coast.

The document clarifies that in science, uncertainty refers to the degree to which something is known rather than a complete lack of knowledge. It explains that climate scientists use specific probabilistic language—such as 'very likely' to denote a greater than 90 percent chance—to inform public policy and decision-making. While certain facts are established without uncertainty, such as the role of fossil fuels and the greenhouse effect in warming the Earth, uncertainties remain regarding the exact magnitude of future warming and the timing of specific ecological losses, often depending on future human actions to reduce emissions.

The project investigates tropical cyclone dynamics in the Eastern Pacific, emphasizing the role of atmospheric circulations and external factors like warm dry air from the US in track prediction. Initial results include the creation of a historical database of cyclones hitting Mexican Pacific States and the training of over 100 students. The project concludes that regional-level climate studies and data collection must be expanded to accurately assess regional risks.

The IAI is seeking to fill two vacancies on its Science Advisory Council in 2010, replacing Rana Fine and Maria Carmen Lemos. The nominations will target four priority areas: Climate Science (specifically climate modeling), Ecosystems and climate (specifically biodiversity), Policy and Human Dimensions of global change (including vulnerability assessment, mitigation, adaptation, and science-policy interaction), and Integration and modeling (focusing on resilience and social-ecological systems modeling). Candidates are evaluated based on basic criteria of scientific excellence, geopolitical balance across the Americas and the Caribbean, and gender balance, as well as second-tier considerations including interdisciplinary research ability, representation of science in the Americas, and the ability to bridge the science-policy divide.

The tropical Andes are a global biodiversity hotspot with high levels of endemism, particularly in cloud forests and high-altitude ecosystems. Climate change, characterized by rising temperatures and altered precipitation patterns, threatens these species, especially those at high altitudes with limited migration options. The document emphasizes that anthropogenic habitat fragmentation exacerbates these risks, potentially leading to mass extinctions. It advocates for adaptive management, the creation of connected conservation areas with broad environmental gradients, and the integration of ecosystem services into policy. Significant knowledge gaps remain in taxonomy and regional climate modeling, and the region faces institutional challenges including limited funding and a 'brain drain' of scientists.

The document argues that effective climate adaptation requires a comprehensive information system comprising basic climate data, economic cost-benefit analyses, adaptation best practices, and vulnerability assessments. It emphasizes that information must be user-centered and iterative, moving beyond simple scientific publication to a collaborative dialogue between providers and decision-makers. The author highlights significant gaps in observational data, particularly in the developing world, and the difficulty of scaling global climate models to local levels. To ensure equitable and effective use, the paper suggests the use of 'boundary organizations' like NGOs and local universities to translate complex data into locally relevant knowledge, while adhering to specific communication principles to overcome barriers like scientific jargon and uncertainty.

The document examines climate change in Nepal, highlighting the region's high vulnerability due to diverse topography and reliance on rain-fed agriculture. It analyzes the risks of rapid-onset disasters like floods and slow-onset disasters like drought and forest fires, while advocating for a shift from rigid structural controls to flexible, community-based adaptive capacities.

The research identifies five key areas for ICT application in climate change: observation and monitoring, modeling and simulation, socio-economic analysis, policy analysis and planning, and capacity building. Based on a survey of 18 environmental economists from European countries, the study finds that internet-based services and statistical software are the most widely used and highly valued tools across most research areas. While scientific relevance—specifically increasing exchange in the scientific community—is ranked as the highest priority for ICT, political relevance (interfacing with policy-makers) is ranked higher than economic relevance (reducing research costs). The paper highlights significant barriers to the use of specialized tools, including high costs, data shortages, and complex coding, and calls for increased data accessibility and international collaboration to support developing countries.

The document outlines how scientists use climate models, atmospheric records, and carbon isotope signatures to prove that human-induced greenhouse gas emissions are the primary driver of global warming since the mid-20th century. It highlights the consensus among the scientific community and major bodies like the IPCC, while noting that attribution science can now link specific extreme weather events to climate change.

The document describes the use of IPCC emissions scenarios (A1fi and B1) and three global climate models (GFDL CM2.1, HadCM3, and PCM) to project climate variables in the U.S. Midwest. It details the distinction between higher-emissions paths, leading to 940 ppm of CO2 by 2100, and lower-emissions paths, leading to 550 ppm. The briefing notes that while these models reproduce historical regional climate features, they may be conservative as they do not capture recent rapid winter warming in the Midwest or the accelerated melting of polar ice sheets.