assessments of energy neighbourhood of system impacts relevant energy systems Development of new modelling experiments for geo-engineering Integration of climate and weather information for evaluations (e.g., bio-char, albedo and solar plants) near net zero energy communities and energy systems, GHG reduction and in support of sustainable energy use Site Provide understanding of High-quality historical Very high grade in situ Enhanced ways to extend Selection & dataset quality for resource datasets data, both in terms of in situ data to encompass Financing and risk estimations quality of inter-annual variability of Provide an appreciation of, Uncertainty estimation of instrumentation and resource and its system risks and guidance on, climate the resource and system temporal variability and change risks Enhanced modelling of flow and Elicit suggestions for Detailed site-specific orographic dependent features improvement of data Statistical properties, modelling (e.g. wind collection and statistical including extreme event gust estimation, Enhanced quantification of assessments probabilities, of resource extreme low and high weather and climate extremes and its risks stream-flows) Enhanced statistical estimation Guidance on climate of probability distribution change trends and functions of relevant variables projections for future energy yield and risks Approaches to bridge near term forecasting to decadal projections Operations & Interpretation and accuracy Site specific short-range Site-specific ground Forecasting tools to improve Maintenance of site-specific forecasts to seasonal forecasts station data site-specific and sector-specific Issuance of relevant information warnings at various lead Early warning systems Infrastructure specific times, with appropriate based on statistical and meteorological data Characterization of extreme commentary and personal physical modelling and at events, return periods, briefings various lead times Database and analyses probabilities of occurrence, Relative attributes of of historical exceedance thresholds statistically- and Analysis and forecasts of meteorologically-driven probabilities of extreme problem (forensic)
assessments of energy system impacts neighbourhood of relevant energy systems Integration of climate and weather information for near net zero energy communities and energy systems, GHG reduction and in support of sustainable energy use Development of new modelling experiments for geo-engineering evaluations (e.g., bio-char, albedo and solar plants) Site Selection & Financing Provide understanding of dataset quality for resource and risk estimations Provide an appreciation of, and guidance on, climate variability and change Elicit suggestions for improvement of data collection and statistical assessments High-quality historical datasets Uncertainty estimation of the resource and system risks Statistical properties, including extreme event probabilities, of resource and its risks Guidance on climate change trends and projections for future energy yield and risks Very high grade in situ data, both in terms of quality of instrumentation and temporal Detailed site-specific modelling (e.g. wind gust estimation, extreme low and high stream-flows) Enhanced ways to extend in situ data to encompass inter-annual variability of resource and its system risks Enhanced modelling of flow and orographic dependent features Enhanced quantification of weather and climate extremes Enhanced statistical estimation of probability distribution functions of relevant variables Approaches to bridge near term forecasting to decadal projections Operations & Maintenance Interpretation and accuracy of site-specific forecasts Issuance of relevant warnings at various lead times, with appropriate commentary and personal briefings Relative attributes of statistically- and Site specific short-range to seasonal forecasts Early warning systems based on statistical and physical modelling and at various lead times Analysis and forecasts of probabilities of extreme Site-specific ground station data Infrastructure specific meteorological data Database and analyses of historical meteorologically-driven problem (forensic) Forecasting tools to improve site-specific and sector-specific information Characterization of extreme events, return periods, probabilities of occurrence, exceedance thresholds
2016.09.19%20IBCS-MC4-DOC%205.3%20ENERGY%20EXEMPLAR-draft1_en-1.docx