Merge pull request #162 from USEPA/state_level

Update data.R

FrEDI/R/data.R

@@ -36,7 +36,7 @@
 #'
 #' The scenarios in this dataframe were created using [Hector](https://jgcri.github.io/hector/), an open-source, reduced-form global carbon-cycle climate model (Hartin et al., 2015) to model temperatures associated with emissions scenarios from the Global Change Analysis Model v5.3 (GCAM). The Global Change Analysis Model v5.3 ([GCAM](https://gcims.pnnl.gov/modeling/gcam-global-change-analysis-model)) is an open source model that represents the linkages between energy, water, land, climate and economic systems (Calvin et al., 2019).
 #'
-#' Note that these temperature scenarios have been converted from the original global temperatures to CONUS temperatures using the [FrEDI::convertTemps] (with argument `from="global"`). The scenarios can therefore be passed directly to [FrEDI::run_fredi()] or [FrEDI::run_fredi_sv()]. *Please note that the `gcamScenarios` should be subset to any of the individual scenarios specified in the `scenario` column before passing to [FrEDI::run_fredi()] (e.g., `gcamScenarios |> dplyr::filter(scenario=="ECS_3.0_ref_0")` for the reference scenario).
+#' These temperature scenarios have the original global temperatures. Users must convert to CONUS temperatures using the [FrEDI::convertTemps] (with argument `from="global"`) before passing the scenarios to [FrEDI::run_fredi()] or [FrEDI::run_fredi_sv()]. *Please note that the `gcamScenarios` should be subset to any of the individual scenarios specified in the `scenario` column before passing to [FrEDI::run_fredi()] (e.g., `gcamScenarios |> dplyr::filter(scenario=="ECS_3.0_ref_0")` for the reference scenario).
 #'
 #' Calvin, K., Patel, P., Clarke, L., et al. 2019. GCAM v5.1: representing the linkages between energy, water, land, climate, and economic systems, Geosci. Model Dev., 12:677–698. https://doi.org/10.5194/gmd-12-677-2019.
 #'