Merge branch 'main' of github.com:NREL/gcm_eval

README.rst

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 Welcome to the NREL Global Climate Model Evaluation Repository
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-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 <https://nrel.github.io/gcm_eval/regions/conus.html>`_.
 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