Table 2 Building blocks for energy sector climate services, by Pillar and Area of Focus – UIP CSIS Obs/Mon RMP Provide information about Historical datasets of In situ, and Improvement of observation & relevant repositories of data relevant meteorological derived meteorological instrumentation Resource and products for resource data (in situ, data for assessment of Assessment and climate risk estimation derived and resources and risks Improvement of satellite and related retrieval and conversion Provide understanding of metadata Model-based algorithms dataset quality for resource resolution historical and climate risk estimation Tailored data-sets to meteorological data Study on sensitivity of resource specific energy sectors to atmospheric constituents (e.g. Provide support for the (e.g. heating and cooling Climate change aerosols) proper installation, degree days, wind gusts, projections and their operation and maintenance water temperature and limitations Characterization of uncertainty of meteorological river flows) of different data sources instrumentation Data policy; guidance Climate projections of and possible formulation Methods to combine various data Provide estimation of relevant data of updated guidelines sources resource and climate Uncertainty estimates of uncertainty resource and risk Ancillary datasets such Approaches to bridge time scales estimations as electric grid, distance and predictions from weather Provide an appreciation of, to coast, elevations, forecasts to seasonal predictions and guidance on, climate Development of tailored populated centres, etc. to climate change projections variability and change climate values for energy systems codes, Approaches to localize or Discuss options for standards, best practices downscale climate change improvement of resource and guidelines projections for specific decisions and climate risk assessment Approaches to assess and combine uncertainty information in individual data sources Impact Identify relevant Historical datasets and High-grade in situ data Characterization of extreme assessments meteorological and climate climate analyses of events and probabilities, return phenomena for specific extreme events Observations and periods, probabilities of infrastructure (e.g. hail, monitoring of relevant occurrence, exceedance snow and wind loads on PV climate-related thresholds
Table 2 – Building blocks for energy sector climate services, by Pillar and Area of Focus UIP CSIS Obs/Mon RMP & Resource Assessment Provide information about relevant repositories of data and products for resource and climate risk estimation Provide understanding of dataset quality for resource and climate risk estimation Provide support for the proper installation, operation and maintenance of meteorological instrumentation Provide estimation of resource and climate uncertainty Provide an appreciation of, and guidance on, climate variability and change Discuss options for improvement of resource and climate risk assessment Historical datasets of relevant meteorological data (in situ, and and related metadata Tailored data-sets to specific energy sectors (e.g. heating and cooling degree days, wind gusts, water temperature and river flows) Climate projections of relevant data Uncertainty estimates of resource and risk estimations Development of tailored climate values for energy systems codes, standards, best practices and guidelines In situ, and meteorological data for assessment of resources and risks Model-based historical meteorological data Climate change projections and their limitations Data policy; guidance and possible formulation of updated guidelines Ancillary datasets such as electric grid, distance to coast, elevations, populated centres, etc. Improvement of observation instrumentation Improvement of satellite retrieval and conversion algorithms Study on sensitivity of resource to atmospheric constituents (e.g. aerosols) Characterization of uncertainty of different data sources Methods to combine various data sources Approaches to bridge time scales and predictions from weather forecasts to seasonal predictions to climate change projections Approaches to localize or downscale climate change projections for specific decisions Approaches to assess and combine uncertainty information in individual data sources Impact assessments Identify relevant meteorological and climate phenomena for specific infrastructure (e.g. hail, snow and wind loads on PV Historical datasets and climate analyses of extreme events High-grade in situ data Observations and monitoring of relevant climate-related Characterization of extreme events and probabilities, return periods, probabilities of occurrence, exceedance thresholds resolution derived derived
2016.09.19%20IBCS-MC4-DOC%205.3%20ENERGY%20EXEMPLAR-draft1_en-1.docx