N-1Climate Adaptation Plan
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1.5. Importance of Scenario Analysis for Understanding and Managing Climate Change To better prepare for the future, electric utilities require data that can provide insights into the degree of impact that can be expected on their assets a...
AI summary The text emphasizes the importance of scenario analysis in helping electric utilities, such as NS Power, prepare for the impacts of climate change. It discusses the use of IPCC RCPs and IEA WEO scenarios to assess climate-related risks and highlights NS Power's current reliance on CMIP5 data, with no immediate plans to transition to CMIP6 or SSPs.
3.1. Climate Change Trends in Nova Scotia Climate change is already affecting Nova Scotia and is expected to continue altering environmental conditions throughout this century. Recent years have demonstrated that many of the projected clim...
AI summary Climate change is already impacting Nova Scotia, with events like Hurricane Fiona and wildfires becoming more frequent. Projections indicate warmer, wetter conditions, more extreme heat, and increased flooding risks. These changes will affect infrastructure, energy systems, and water management.
Analysis parameter Value Notes Baseline period 2000-2019 (present day) This timeframe is centered on the year 2010 and it excludes 2020 as there was no climate data available for the full year of 2020 at the time of analysis. Timeframe for...
AI summary The document outlines the baseline period, future scenarios, spatial and temporal resolutions, and key climate hazards considered in NS Power's climate data analysis. It also discusses the selection of RCP 4.5 and RCP 8.5 scenarios and references Table 3.3 for data sourcing hierarchy.
- Tier 1: Canadian publicly available, nationally recognized, peer-reviewed climate data sources; e.g., Canadian Centre for Climate Modelling and Analysis, Canadian Wildland Fire Information System. - Tier 2: Internationally recognized, pu...
AI summary The document outlines the use of climate data sources in physical climate risk analysis, including Tier 1 and Tier 2 datasets. It describes reanalysis, statistically downscaled climate projections, and dynamically downscaled climate projections as the primary dataset types used for present-day and future climate conditions up to 2050.