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How can Artificial Intelligence Help Improve Climate Forecasting and Risk Information?
By author, Herbert Misiani, ICPAC Climate Researcher
Contributions by ICPAC Climate Change Technical Working Group
Climate is chaotic in nature, with many processes and feedbacks which have not been fully understood. Predicting the future states of such a system is often a big challenge and often requires quality long-term climate records spanning several decades. The rising global temperatures have not made things any better for climate scientists since they have already impacted different aspects of climate variability. Every day different centers around the world churn out additional petabytes worth of data; for example, data from conventional observing stations, climate simulations, …
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How can Artificial Intelligence Help Improve Climate Forecasting and Risk Information?
By author, Herbert Misiani, ICPAC Climate Researcher
Contributions by ICPAC Climate Change Technical Working Group
Climate is chaotic in nature, with many processes and feedbacks which have not been fully understood. Predicting the future states …
Desert Locust Projection December 2020
Projected impact on food and fodder
- Very high risk of significant impacts to both crops and rangelands due to high rainfall received in northern parts of the region which has enabled the swarms to migrate. …
La Niña: forecasted drier than usual season poses risks to crops and livestock in some parts of the region
Nairobi, 11 of November 2020: October to December is a major farming season for Kenya, southern Somalia, southern Ethiopia, Rwanda, Burundi, Uganda, and much of Tanzania. The drier than usual season might impact southern Ethiopia, …
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Desert Locust Projection October 2020
Projected impact on food and fodder
- Very high risk of significant impact to both crops and rangelands due to the high rainfall received in the northern parts of the region which has enabled the swarms …