Climate information services

Climate information (CI) refers to the gathering and analysis of actual weather and climate observations as well as simulations of the climate for the past, the present and the future. Climate information services entail the dissemination of climate data in a way that aids people and organizations in making decisions. CIS helps its users foresee and control the hazards associated with a shifting and unpredictable environment. == Types of climate information ==

There are three main types of climate information commonly provided through CS. These are forecasts, agrometeorological services, and early warnings. Forecasts use in farming operations: Several CS projects in the African agriculture sector have applied forecasts of varying timescale in providing risk warning and risk response advisory services to farmers. The five timescale forecasts most widely used in the production of climate risk warnings and risk response advisory services are: (1) Weather forecasts (daily to weekly), (2) Seasonal forecasts (on a timescale of 1–6 months), (3) Short-term forecasts (1–5 years), (4) Intra-decadal/Medium-term forecasts (5–10 years), and (5) Decadal forecasts. The most commonly used among these forecasts are short-term, seasonal, and weather forecasts. Intra-decadal and decadal forecasts are sparingly used in agricultural risk management, even though they may be more useful for making a strategic decision and anticipatory adaptation plans. Agrometeorological services: Agrometeorological services are the second most common type of climate information provided by the CS. Included in this category is information provided to manage the impact of both climate change and climate variability. This includes advisory information on the scheduling of planting operations, weeding, fertilizer applications, etc. CS is also, in some cases, used to provide information on climate-smart agriculture practices (CSA). The type of CSA information communicated includes conservation farming practices like ridging, minimum tillage, soil conservation practices, etc. The use of CS to communicate agrometeorological services and CSA to farmers is acknowledged as a valuable innovation to assist decision-making and develop farmers’ specific adaptive capacities. Early warning interventions: The third type of climate information provided through CS are early warnings. Early warning intervention provisioning is commonly used for drought, flood, and wildfire risk warnings. Early warnings are rarely solely disseminated to users; rather, they are provided in combination with agrometeorological services. The early and timely delivery of early warnings is increasingly being facilitated through the integration of ICT CS dissemination strategy. == International initiatives ==

In 2009, the Global Framework for Climate Services (GFCS) of the World Meteorological Organization was established, with the goal to enable better management of the risks of climate risks through the integration of climate information and prediction into planning, policy and practice. To achieve its mission, the GFCS works across five priority areas: • Agriculture and Food Security (working with partners in the UN 'system' such as the Food and Agriculture Organization and the World Food Programme) • Disaster Risk Reduction (working with the UN Office for Disaster Risk Reduction to include climate information and prediction into managing disaster risk) • Energy (developing tailored weather–water–climate services working with the energy industry) • Health (working with the World Health Organisation and other organisations to develop reliable health and climate-related tools and services for various time scales) • Water (working with UN-Water and the Global Water Partnership to focus on the climate services required to support Integrated Water Resources Management) == Examples by region ==

Africa CIS has become a popular initiative in national and regional initiatives aimed at enhancing stakeholders’ access to tailored and contextual climate information for adapting farming practices to climate and socioeconomic risks in Africa. Since more than 90% of our agriculture is rainfed, climate observation systems suggest that rainfall in Africa is becoming more unpredictable. This sector looks to be one of the most hit by climate variability and change. Farmers who have access to high-quality data customized to their needs can plan what and when to plant; policymakers who have access to precise data and analysis can make well-informed judgments. Governments are also considerably more likely to incorporate climate policies by using demand-led, evidence-based data. With robust climate information, Africa can safeguard the economic gains and advances in social development seen across the continent over the last decade. There are data gaps at various levels because the majority of the acquired data were written down on paper rather than being electronically catalogued. Not withstanding the hurdles facing the private sector, a few private sectors have been successful in offering climate information services throughout Africa. Farmers and members of the informal sector can access essential information and services thanks to Esoko's Digital Farmer Services. Several initiatives for scaling up the implementation of CIS in the African agriculture sector have been adopted. Some of these initiatives include: the African Center of Meteorological Applications for Development (in 1995), the Climate Services Partnership (in 2011), the Global Framework of Climate Services (in 2012), and the Climate Services for Resilient Development Partnership (in 2017). These initiatives have been used in several approaches to facilitate the production and dissemination of climate information to stakeholders in the agricultural sector. The Global Framework of Climate Services, for example, implemented several projects in many African countries that aimed to facilitate timely delivery of contextual climate information to stakeholders through a collaborative participatory process. Similarly, the African Centre of Meteorological Application for Development initiative implemented several projects aimed at producing forecasts of an appropriate timeline that are most suitable to decision-making in the agricultural sector Research and innovation has been supported through the European Research Area for Climate Services (ERA4CS) Programme. The new EU Adaptation Strategy from 2021 also highlighted the key role for climate services in supporting climate change adaptation. The climate services sector in Europe is quite well established. One example in Europe is Copernicus Climate Change Service (C3S), which provides free and open access to climate data, tools and information used for a variety of purposes. Another example is Participatory Integrated Climate Services for Agriculture (PICSA). This is a participatory approach which combines historical climate data and forecasts with farmers’ local contextual knowledge. ==See also==