Delivering Better Services, Together
ICPAC hosts a number of projects that help us provide better climate services and support national meteorological departments improve their service delivery.

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Global Monitoring for Environment and Security and Africa
Observing our planet from space offers an unprecedented opportunity to monitor changes on the earth surface. Space technology allows us identify patterns over time, understand trends and monitor our planet to better manage, conserve and …

Intra-ACP Climate Services and Related Applications
The Eastern Africa region has a highly variable climate and is prone to climate extremes such as droughts and floods that exacerbate food and water insecurity. Reliable and timely regional climate information, including current and …

Co-production of Climate Services for East Africa
CONFER is a multi-national collaboration to bolster resilience to climate impacts and reduce disaster risk in East Africa. The main goal of the project is to co-develop dedicated climate services for the water, energy and …

Translation of climate information into multi-level decision support for community-level adaptation, policy development, and long-term resilience to water scarcity in East African drylands
The main goal of the project is to address the multi-faceted challenges of water scarcity and food insecurity under climate change in the Horn of Africa Drylands, by facilitating community-centered adaptation and resilience to climate …

Rural Livelihoods’ Adaptation to Climate Change in the Horn of Africa Phase II
The Somalia National Adaptation Programme of Action (NAPA) identified different climatic and non-climatic factors that have weakened people’s ability to adapt to climate change. The project supports the Somali government in meeting some of the …

The Agricultural Climate Resilience Enhancement Initiative
Rural communities in arid and semi-arid regions have limited access to information, technical support and financing to adapt to climate change. Their coping capacity to local climate variability and predictions is thus very limited. ACREI …