AICCRA Data portal, Tools, Maps, Datasets and Models

Permanent URI for this collectionhttps://hdl.handle.net/10568/113199

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Now showing 1 - 4 of 4
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    Digital platform for scaling climate information services in Mali
    (Data Paper, 2023-12) Diallo, Aboubacara; Bengaly, Oumara; Dossou-Yovo, Elliott Ronald
    This study analysed the digital platform established by the AICCRA project to disseminate climate information services in Mali. In total, 233,000 farmers of which 38% are women had access to CIS through the digital platforms. On average, farmers having access to CIS through the digital platform had an increase in their yield by 705 kg/ha, income by 345,288 XOF/ha (575 USD/ha) and food consumption score by 2. When the cumulative benefits of the digital platform were evaluated, access to the digital platform increased rice production by 164,265 ton and farmers’ income by 134 million USD.
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    Adaptation elements in African Nationally Determined Contributions (NDCs) and National Adaptation Plans (NAPs)
    (Dataset, 2023-11-07) Nowak, Andreea C.; Njuguna, Lucy; Crumpler, Krystal
    The dataset contains information on climate hazards, systems at risk, adaptation goals, adaptation objectives, adaptation actions, and adaptation indicators included in African Nationally Determined Contributions (NDCs) and National Adaptation Plans (NAPs) (2023-11-7)
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    Economic and Financial Analysis Tool for Climate Change Adaptation
    (Source Code, 2022-12-21) Steward, Peter R.; Thornton, Philip K.
    The Aiccra EFA tool is designed to provide the high level Economic and Financial analysis (EFA) needed to inform programme development and evidence large-scale funding proposals. It is suitable for macro-scale planning, for example Global Climate Fund (GCF) proposals. In fact, this tool uses the approach employed in the EFA used to support the AICCRA project. We suggest you read the AICCRA EFA to understand how this tool can be employed. The approach is simple and pragmatic. You choose countries, farming systems, one or more crops or livestock types for your project. Then you set some simple technology performance and project economic parameters. Tables and maps are output that can be saved and inserted in your proposal.
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    CSA dashboard - Kenya country profiles
    (Website, 2022-07) Githu, Wanjiku; Ghosh, Aniruddha; Jaquet, Stéphanie; Maina, Wilson Nguru; Muriithi, Cyrus K; Mwongera, Caroline
    The dashboard presents the data coming from the Kenya County Climate Risk Profiles. There are 45 profiles for the 45 rural counties of Kenya. The data aims at informing decision on climate risk and the impacts of these risks on selected value chains in each county. The profiles were developed by the Alliance of Bioversity International and CIAT and the Government of Kenya with funding from the World Bank. The digitization of the profiles is supported by the AICCRA project