From 9e695c1dc257fa899205c39a16ad92ba8242be6d Mon Sep 17 00:00:00 2001 From: Grant Buster Date: Tue, 6 Aug 2024 10:17:30 -0600 Subject: [PATCH] Update README.rst with tech report reference. --- README.rst | 54 ++++++++++++++++++++++++++++-------------------------- 1 file changed, 28 insertions(+), 26 deletions(-) diff --git a/README.rst b/README.rst index ed3af4f..6440c41 100644 --- a/README.rst +++ b/README.rst @@ -2,30 +2,26 @@ Welcome to the NREL Global Climate Model Evaluation Repository ############################################################## -The interplay between energy, climate, and weather is becoming more complex due -to increasing contributions of renewable energy generation, energy storage, -electrified end uses, and the increasing frequency of extreme weather events. -Energy system analyses commonly rely on meteorological inputs to estimate -renewable energy generation and energy demand; however, these inputs rarely -represent the estimated impacts of future climate change. Climate models and -publicly available climate change datasets can be used for this purpose, but -the selection of inputs from the myriad of available models and datasets is a -nuanced and subjective process. In this work, we assess datasets from various -global climate models (GCMs) from the Coupled Model Intercomparison Project -Phase 6 (CMIP6). We present evaluations of their skills with respect to the -historical climate and comparisons of their future projections of climate -change. We present the results for different climatic and energy system regions -and include interactive figures in the accompanying software repository. -Previous work has presented similar GCM evaluations, but none have presented -variables and metrics specifically intended for comprehensive energy systems -analysis including impacts on energy demand, thermal cooling, hydropower, water -availability, solar energy generation, and wind energy generation. We focus on -GCM output meteorological variables that directly affect these energy system -components including the representation of extreme values that can drive grid -resilience events. The objective of this work is not to recommend the best -climate model and dataset for a given analysis, but instead to provide a -reference to facilitate the selection of climate models and datasets in -subsequent work. +The interplay between energy, climate, and weather is becoming more complex due to increasing +contributions of renewable energy generation, energy storage, electrified end uses, and the +increasing frequency of extreme weather events. Energy system analyses commonly rely on +meteorological inputs to estimate renewable energy generation and energy demand; however, +these inputs rarely represent the estimated impacts of future climate change. Climate models and +publicly available climate change datasets can be used for this purpose, but the selection of +inputs from the myriad of available models and datasets is a nuanced and subjective process. In +this work, we assess datasets from various global climate models (GCMs) from the Coupled +Model Intercomparison Project Phase 6 (CMIP6). We present evaluations of their skills with +respect to the historical climate and comparisons of their future projections of climate change for +two climate change scenarios. We present the results for different climatic and energy system +regions and include interactive figures in the accompanying software repository. Previous work +has presented similar GCM evaluations, but none have presented variables and metrics +specifically intended for comprehensive energy systems analysis including impacts on energy +demand, thermal cooling, hydropower, water availability, solar energy generation, and wind +energy generation. We focus on GCM output meteorological variables that directly affect these +energy system components including the representation of extreme values that can drive grid +resilience events. The objective of this work is not to recommend the best climate model and +dataset for a given analysis, but instead to provide a reference to facilitate the selection of +climate models and scenarios in subsequent work. For interactive comparisons of GCM projections, check out the regional results `here `_. @@ -33,8 +29,14 @@ All of the plots after the skill tables are interactive. Try hovering your mouse over data points, clicking and dragging, scrolling, and double clicking on the legends. -An NREL technical report is in preparation and will accompany this repository -with a discussion of the methods and results. +For details on the methods and a discussion of the results, see the NREL technical report here: + +:: + + Buster, Grant, Slater Podgorny, Laura Vimmerstedt, Brandon Benton, and Nicholas D. + Lybarger. 2024. Evaluation of Global Climate Models for Use in Energy Analysis. + Golden, CO: National Renewable Energy Laboratory. NREL/TP-6A20-90166. + https://www.nrel.gov/docs/fy24osti/90166.pdf. The NREL software record for this repository is SWR-24-37