 I'm Fiona Percy. I'm the regional coordinator for the adaptation learning programme which is implemented by Care International. The session was looking at how climate information services can be a new resource and tool for community based adaptation, particularly for decision making and also providing a new information base for making those decisions. Bringing in meteorologists and climate scientists into community based adaptation has been challenging and it's a new area both for the producers of climate information and the users at the end of the day, but actually a vital resource to build onto the information that we need. There are challenges around the quality and relevance of the information which is there. The traditional audiences for climate science have not been farmers or pastoralists who need to adapt to climate change in the short term, on a seasonal scale also into the long term. So challenges around communication of the information, communication of information needs of those people on the ground, bringing that to meteorologists. Challenges for meteorologists to communicate what they have in ways that communities can actually use and find useful and understand in the first place. Also affect the ability to measure the impact of how useful and valuable that information could be into the future. So learning between and among and actually changing the ways in which meteorologists and communities think about this information has been challenging. So in the session the participants spent time actually discussing some of these issues, looking at how to tackle uncertainty which is there in terms of future climate. It's also there in terms of the climate information, how to work with these decision making tools and particularly how to combine the knowledge from different actors and support this communication to reach down to the most vulnerable. And we realize we do have some good models out there, particularly around scenario climbing in relation to seasonal forecasts, supporting communities to have their own weather recording using rain gauges and building that into monitoring of their own vulnerability and bringing that information back to at least the local government level. And also some systems in terms of having a more balanced response to using climate information, not only to inform development decisions and adaptation decisions in terms of what crops I'm going to plant or where I should bring my livestock or protect the health of the livestock, but also integrating risk management into that, spreading risks and management risks. And that can be at all scales. So from the seasonal all the way to the long term and the feeling that we need more robust evidence and more quality climate information and bringing that into the systems for decision making at all these different scales including long term infrastructure, long term development decisions by governments in addition to listening to the community level and listening to community knowledge and local knowledge as a very key input into this. So scenarios and using both seasonal but also longer term scenarios and developing a bigger range of options so that at the end of the day decisions are still being made at the local level based on local knowledge and local situation but better informed by the climate information that can be out there. Another lesson was the need for the climate scientists themselves to find ways to listen and learn more from the communities and have better systems or better skills for communicating that information back to the community level. The biggest question we came out with was if communication is a problem across multiple timescales, multi-stakeholder engagement and interactions really important, how can we make that systematic? How can we build that in on an ongoing basis to keep tackling the changing climate impacts as they occur?