Training on Use of ANACIM Senegal ENACTS Platform and Maprooms

In order to support a wider use of the platform, ANACIM in collaboration with the IRI conducted a workshop to introduce agricultural professionals to the data and tools that are available through ANACIM’s ENACTS platform and Maprooms, and train them to access, interpret and apply these tools. The training covered basic climate concepts, the ENACTS approach, demonstration and hands-on experience using ANACIM’s data analysis Maproom tools, and discussion of how these analyses can address a range of climate-related problems and climate-sensitive management decisions. Participants were introduced to a new seasonal rainfall forecast Maproom that was designed to increase the usefulness of probabilistic seasonal climate forecasts for local decision making for agriculture and other climate-sensitive sectors.

Saved in:
Bibliographic Details
Main Authors: Trzaska, Sylwia, Hansen, James, Diop, Lamine, Sal, Ndaye Amy, Mbengue, Asse, Grossi, Amanda
Format: Report biblioteca
Language:English
Published: Accelerating Impacts of CGIAR Climate Research for Africa 2022-06-10
Subjects:agriculture, climate-smart agriculture, climate change,
Online Access:https://hdl.handle.net/10568/119816
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In order to support a wider use of the platform, ANACIM in collaboration with the IRI conducted a workshop to introduce agricultural professionals to the data and tools that are available through ANACIM’s ENACTS platform and Maprooms, and train them to access, interpret and apply these tools. The training covered basic climate concepts, the ENACTS approach, demonstration and hands-on experience using ANACIM’s data analysis Maproom tools, and discussion of how these analyses can address a range of climate-related problems and climate-sensitive management decisions. Participants were introduced to a new seasonal rainfall forecast Maproom that was designed to increase the usefulness of probabilistic seasonal climate forecasts for local decision making for agriculture and other climate-sensitive sectors.