Making climate-sensitive economic sectors resilient to climate trends and shocks, through adaptation to climate change and managing uncertainties associated with climate extremes, will require effective use of climate information to help practitioners make climate-informed decisions. The provision of weather and climate information will depend on the availability of climate data and its presentation in formats that are useful for decision making at different levels. However, in many places around the world, including most African countries, the collection of climate data has been seriously inadequate, and even when available, poorly accessible. On the other hand, the availability of climate data by itself may not lead to the uptake and use of such data. These data must be presented in user-friendly formats addressing specific climate information needs in order to be used for decision-making by governments, as well as the public and private sectors. The generated information should also be easily accessible. The Enhancing National Climate Services (ENACTS) initiative, led by Columbia University’s International Research Institute for Climate and Society (IRI), has been making efforts to overcome these challenges by supporting countries to improve the available climate data, as well as access to and use of climate information products at relevant spatial and temporal scales. Challenges to the availability of climate data are alleviated by combining data from the national weather observation network with remote sensing and other global proxies to generate spatially and temporally complete climate datasets. Access to climate information products is enhanced by developing an online mapping service that provides a user-friendly interface for analyzing and visualizing climate information products such as maps and graphs.
Climate services can contribute to alleviating a range of climate-sensitive development challenges, including those of agricultural production and food security. However, the use of climate data for research and applications in Africa has been scanty, mainly due to poor availability of and access to quality climate data. Weather stations are sparse, and their number has been declining. Access to existing climate data is a challenge mainly because of national data policies, low financial investment, lack of dissemination capacity and tools, and high access costs. The ENACTS (Enhancing National Climate Services) initiative led by the International Research Institute for Climate and Society (IRI) at Columbia University has been tackling this problem by working with National Meteorological Services (NMS) in Africa and in other developing countries. This initiative helps NMS to improve data availability and quality, by combining quality-controlled data from national observation networks with satellite estimates for rainfall and climate model reanalysis products for temperature. This requires access to an easy-to-use and freely available tool for preforming the tasks required to generate the data, as well as using the generated data. Most NMS in Africa do not have access to such a tool. To meet this significant need, the IRI developed such a tool in-house. This is the Climate Data Tool (CDT), which is an open-source, R-based software with an easy-to-use a graphical user interface (GUI). It can be used for data organization, quality control, combining station data with satellite and reanalysis data, evaluating merged and inputs datasets, performing an array of analyses, and visualization. The CDT software has been evolving over that last seven years with inputs from the NMS themselves. Now, it has become a powerful and user-friendly tool, and has been installed in over 20 countries in Africa alone.
We advance a gender equality and social inclusion (GESI) framework for incorporating climate information services (CIS), which is now becoming central due to the ongoing climate change and climate variability. We understand gender as a social construct of who women and men are supposed to be. Gender inequalities seem to be enduring such that, despite innovations in agricultural and climate information technologies, unequal gender power dynamics will still emerge. As far back as the 1960s, the gendered inequalities in accessing technologies could be identified. Such a historical analysis clearly shows that the different technological solutions are clearly embedded within the society in which they evolve in. The paper uses a literature review methodological approach whilst informing the implementation of an ongoing Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA) Project. The findings reveal that unless women are intentionally included in designing and developing agricultural technologies, specifically climate information systems, there is a danger that women will be excluded from the benefits. Conway’s law clearly stipulates that technological innovations are not neutral as they are a projection of the values of their creators. It is, therefore, central to grasp the values of creators of different technological solutions and innovations. The key findings are built around the espoused conceptual framework, which has five indicators, namely: (1) gender targeting by intentional design, (2) collection of sex-disaggregated data, (3) conduct an analysis of the sex-disaggregated data, (4) dissemination of the technological options and (5) conduct continuous monitoring of gender and ongoing empowerment evaluation. The five indicator domains are further complemented by their respective assumptions. Our GESI recommendations are on the five selected indicator domains. These domains must be used within the three focal development areas: agricultural data hub, climate information services training, and flood and drought indicators, which are all being implemented in Zambia. Other AICCRA Project countries are Ethiopia, Ghana, Kenya, Mali, and Senegal. This paper engages why CIS has not gained significant traction in Africa, as it has not genuinely incorporated the differential gender technological nuances.
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