A guide to Effective Collaboration and Learning in Consortia

Bettina Koelle, Lucia Scodanibbio, Katharine Vincent, Blane Harvey, Maarten van Aalst, Sophie Rigg, Nicola Ward, and Margot Curl

Working in the complex context of climate change adaptation and resilience, individuals and organisations are often required to work together in consortia across disciplinary, institutional, geographical, and cultural boundaries. Working in large consortia offers great opportunities for addressing complex problems.…

Creating useful and usable weather and climate information - insights from Participatory Scenario Planning in Malawi

Dorothy Tembo-Nhlema, Katharine Vincent and Rebecka Henriksson Malinga

For weather and climate information to be used at the grassroots level, it needs to be effectively interpreted and communicated so that it is both useful and usable. The gap between producers and users, however, has typically not been filled.…

Press release: Water resources model shows how climate change poses risks to future water availability in Malawi

Declan Conway, Estelle Rouhaud, Beth Mackay, Ajay Bhave

The UMFULA (Uncertainty Reduction in Models for Understanding Development Applications) research group, that is part of the programme Future Climate for Africa, have been investigating how future climate change will affect water resources in Malawi. The UMFULA research team has developed a water…

Climate Risk and Vulnerability Handbook for Southern Africa

Claire L Davis-Reddy and Katharine Vincent

CSIR and Kulima have launched the second edition of the Climate Risk and Vulnerability Handbook for Southern Africa. This handbook was conceived and designed with the intent to provide decision-makers with up-to-date information, appropriate for country planning, on the impacts…

Evaluating climate models with an African lens

James, R., Washington, R., Abiodun, B., Kay, G., Mutemi, J., Pokam, W., Hart, N., Artan, G. and Senior, C.

Africa lags the rest of the world in climate model development. This paper explores the potential for region-specific, process-based evaluation to promote progress in modeling and confidence assessments.