This report highlights advances in the use of climate information to predict and prepare for climate-related natural disasters. It draws together 17 case studies that capture the current state of knowledge within the humanitarian community, and identifies research innovations. It presents the challenges and opportunities that disaster risk managers face in using climate science with a three step approach: indentifying the problem, developing tools, and taking action.

The results show that effective partnerships are crucial and can help to build the information needed for effective response. They also suggest how the use of this information can be improved — for example by focusing on immediate opportunities for action in countries and regions more likely to benefit. Recommendations also include developing realistic expectations, in order to maintain trust in the information and those who provide it, and encouraging national meteorological services to tailor their information to the problem at hand.

This report presents a collection of regional perspectives that examine the environmental threats to the Indian Ocean's coastal areas, including sea level rise and storm surges, and explore the challenges facing decision makers, including limited funding and poor institutional infrastructure. The authors present opportunities for technological innovation and discuss how policies must integrate multiple sectors while reflecting local needs.

Written by former director of India's National Remote Sensing Agency, D. P. Rao, this article reviews the role of space technology in disaster mitigation.

Rao offers examples of how remote sensing can feed into prevention, preparedness and relief strategies for a number of disasters. He identifies the areas where these applications are operational, and those that need more research and development.

For drought, cyclones, floods, fires, earthquakes and other disasters in India, Rao outlines the status of relevant remote sensing projects. He outlines the extent of the problem posed by each disaster, and how Indian government and nongovernment organisations use remote sensing to improve risk assessment and early warning.

The authors of this article analysed simulation results from a regional climate model for the northern Indian Ocean to predict likely changes in the strength and frequency of tropical cyclones in the Bay of Bengal from 2041–2060.

They find that rising concentrations of greenhouse gases will lead to more frequent cyclones in the region, particularly during the post-monsoon period. In addition, the number of intense cyclones and storm surges will increase. These results are consistent with other trend analyses that show intensification of cyclones in the bay during the last century.

But the research described in this paper only deals with simulations from one future climate scenario. To obtain better regional climate projections, the authors suggest it is necessary to examine simulations from more scenarios.

This paper, prepared for the Global Urban Summit, proposes a framework for building climate change adaptation and mitigation measures into India's urban renewal programmes. This involves multiple government stakeholders at national, state and city levels.

The author begins with a description of the urbanisation trends in India and outlines the climate risks facing the subcontinent, including changing rainfall patterns and the potential for more drought, flooding and extreme weather events like cyclones.

The author outlines the vulnerability of urban populations and suggests that reducing it requires a public policy shift towards mainstreaming climate change risk assessment, adaptation and mitigation measures into ongoing national hazard mitigation programmes, and linking them to urban renewal in the largest cities.

Specific measures highlighted by the author include making building data public, building flood defences, strengthening existing infrastructure to withstand disasters and relocating highly vulnerable populations.

The authors of this article use satellite data to examine trends in the maximum intensities that cyclones can achieve during their lifetimes.

Results from previous analyses of tropical cyclone trends have been questioned due to a lack of consensus regarding data reliability. Moreover results have not been matched to theory because the focus has mainly been on changes in mean tropical cyclone statistics.

In this article, the authors conclusively show significant increases in the maximum wind speeds achieved by the strongest cyclones across all ocean basins except the South Pacific Ocean, with the largest increases occurring over the North Atlantic and northern Indian Oceans.

These findings are consistent with the idea that as seas warm, cyclones become more intense because the ocean has more energy that can be converted to tropical cyclone wind.

This report by the Institute for Development Studies details the results of a pilot project in Bangladesh aimed at developing a screening process for the UK Department for International Development (DFID) to identify and manage climate change impacts on development investments.

The authors highlight predictions that climate change in Bangladesh may lead to stronger cyclones, increased flooding during the monsoon rains and exacerbated drought in the dry season.

They suggest that raising roads and improving drainage could be a cost-efficient way to reduce the impact. Other options recommended for managing risks include paying greater attention to infrastructure design in health, education and private sector development programmes; and to non-structural measures such as livelihood diversification, education and training about disaster risks and adaptation, and improved research and monitoring.

The authors conclude that DFID should support dialogue on disaster risk reduction and climate change adaptation, integrate priorities identified by the Bangladeshi government, increase emphasis for assistance on urban areas, and stimulate a multi-donor dialogue about water issues.

This paper discusses likely future changes in tropical cyclones, questioning whether they will become more intense following higher sea surface temperatures. The author outlines the different approaches currently taken to climate modelling and discusses the results of characterising current and future climate using the Max Planck Institute for Meteorology in Hamburg model, comparing them to observations.

Most climate models predict stronger tropical cyclones in a warmer climate, as an increase in latent heat provides more energy for the storms. But the author claims there is less evidence for a reduction in the frequency of storms in a warmer climate. Still, such a reduction could result from a general weakening of large-scale atmospheric circulation (which reduces the number of cyclones) caused by the rapid increase in water vapour that would follow a rise in global temperatures.