StableClim

<div><b>StableClim V1.0.1</b><br></div><div><br></div><div>Dataframes for the results of the global and regional regressions under pre-industrial, past, and historical/RCP conditions are stored as data.tables in named lists in a compressed RDS format.</div><div><br></div><div>The gridded datasets have been created as NetCDF files. A geopackage containing the aggregated IPCC regions and the Wallace zoogeographic regions and realms can also be found in the ‘gpkg’ folder within StableClim.</div><div><br></div>The naming convention for the results of the global and regional regressions is:<br>StableClim_<<i>scenario</i>>_<<i>var</i>>.RDS<br>where scenario is the name of the scenario (piControl, past, spliced historical), and var represent either global and regional regression thresholds for the pre-industrial control simulation, or the slopes for global/regional temperature regressions for the past and historical/RCP data.<br><div><br></div><div>The naming convention for the ensemble mean monthly data is:</div>StableClim_MonthlyEnsemble_<<i>scenario</i>>_<<i>var</i>>.nc<br>and for the regression files:<br>StableClim_Regression_<<i>scenario</i>>_<<i>var</i>>.nc<br><div>where scenario is the name of the scenario (past, spliced historical RCP 2.6 – RCP 8.5), and var is pr (precipitation) or ts (air temperature).</div><div><br></div><div>The monthly ensemble temperature and precipitation have the following dimensions – 72 x latitude, 144 x longitude, 3012 x months. The units for the monthly ensembles are pr = mm/day, ts = °C. <br></div><div><br></div><div>Each of the regression files contains three record variables: (1) = Trend, (2) = Variability, (3) = Signal:Noise ratio. These record variables have the following dimensions – 72 x latitude, 144 x longitude, and year [20,902 for the past, 251 for the historical/RCP]. Units for the regressions are pr = mm/year, ts = °C/year.</div><div><br></div><div><br></div><div><b>Change log:</b><br><i>2020-08-04 - Updated to StableClim v 1.0.1</i> <br>- Climate change thresholds had been incorrectly calculated during bootstrapping. The thresholds have now been bootstrapped correctly and updated as appropriate.<br>- CSV files for global and regional regressions are now also provided in a gzip archive [<i>GlobalRegionalThresholdsRegressions.tar.gz</i>].<br>- An R tutorial is now provided [<i>StableClim-Tutorial.pdf</i>] which shows how to extract, subset, plot, and calculate pattern scaled trends from the data contained in StableClim.<br></div><br>