Project description
The added value of seasonal climate forecasts for integrated risk management decisions
The core aim of the EU-funded SECLI-FIRM project is to demonstrate how the use of improved climate forecasts can help reduce risk as well as cost of decision-making processes, by assessing the impact of climate information on operational planning and portfolio management. The project will develop a purpose-built comprehensive data set with more than 10 independent seasonal forecast systems on a single platform. It also intends to advance online visualisation tools in order to try characterise end-user requirements and associated decision-making issues for a wide range of stakeholders. Outcomes will ultimately optimise climate prediction performance, quantify the value adding of climate forecasts to decision-making, and help embed seasonal forecasts in industry's decision processes.
Objective
The central objective of SECLI-FIRM is to demonstrate how the use of improved climate forecasts, out to several months ahead, can add practical and economic value to decision-making processes and outcomes, primarily in the energy sector, but also in the water sector. Specifically for the energy sector, SECLI-CLIM will assess the impact on operational planning and portfolio management, such as hedging and asset optimization, thus enabling quantification of the value-add provided by seasonal forecasts which have been calibrated, evaluated and tailored for each specific application. Improvements in management decisions will ultimately lead to an improved supply-demand balance and therefore to a more efficient energy system, particularly with respect to renewable energy, with corresponding benefits for climate change mitigation.
A simple, but effective, methodology will be used to assess value added. A control case will only utilise climatological conditions based on historical averaged values – currently the most common approach – while a test case will also consider individually optimised and tailored state-of-the-art probabilistic seasonal forecasts. This will be done for nine case studies for Europe and South America: recent seasons with anomalous/extreme climate conditions leading to problematic and quantifiable impacts for the energy and/or water industry. Crucially for success, the case studies will be co-designed by industrial and research partners.
These case studies will provide the basis for developing pilot climate services for a number of specific applications, allowing evaluation of the added value of near real-time information for decision making. Thus SECLI-FIRM will promote research advances in the optimization of seasonal forecasts for specific applications (e.g. by evaluating both local processes and large-scale teleconnections), as well as promoting the uptake of seasonal forecasts by industry and hence expansion of the climate services market.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- social sciencessociologygovernancecrisis management
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energyhydroelectricity
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
- engineering and technologyenvironmental engineeringnatural resources managementwater management
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Programme(s)
Call for proposal
(opens in new window) H2020-SC5-2016-2017
See other projects for this callSub call
H2020-SC5-2017-OneStageB
Funding Scheme
RIA - Research and Innovation actionCoordinator
NR4 7TJ Norwich
United Kingdom