The CATER Schools on Transdisciplinary Climate Risk Adaptation and Action
The first annual school is co-organised by the CATER and CONFER proiects and will be held in Naivasha, Kenya.
News
Publication of a paper on spatiotemporal variability of soil moisture over Ethiopia and its teleconnections with remote and local drivers
The spa- tiotemporal variability of Ethiopian soil moisture (SM) has been characterized, and its local and remote influential driving factors are investigated.
Synergy building in weather and climate: Partnership between NMHS, policy makers, private sector and media for Djibouti and Somalia
The workshop in Djibouti, brought together participants from Djibouti and Somalia, who included journalists, policymakers, the private sector, and meteorological authorities.
Synergy building for NMHS and stakeholders based in Kenya and Tanzania on climate information and services
The training, brought together over 40 participants in roundtable discussions and collaborations in the sectors at ICPAC and KMD offices in Nairobi, Kenya.
CONFER‘s annual foundational climate prediction workshop
The intensive two-week in-person and online training brought together 10 new NMHSs forecasters from 10 countries in the East Africa region.
Podcast series on climate change in Eastern Africa
The series documents how vulnerable communities in East Africa are living through and adapting to the most defining issue of our time.
CONFER’s annual General Assembly meet
Four-days meet to discuss, take stock of progress, and plan for the next two years.
Webinar series on climate information in Africa: Climate Finance
Climate finance is needed for mitigation, because large-scale investments are required to significantly reduce emissions.
Building resilience across East Africa through the production and communication of seasonal forecasts
Due to a combination of climatic extremes and vulnerable communities, East Africa is the focus of much research, engagement and action.
Webinar series on climate information in Africa: Climate Prediction
How far in advance can we predict the climate? And why is this so important?