input_data.zip

Input data for the reconstructions and required datasets and code to generate the figures in the paper.<br>Proxy data used for the reconstructions:<br> proxy_ama_2.0.0_PAGES-crit-regional+FDR.txt: PAGES2k v2.0.0 proxy records, R-FDR screened subset (See PAGES2k Consortium, 2017, Scientific Data, doi: 10.1038/sdata.2017.88). Data are tab separated, the first column is the "paleoData_TSid" to identify each record in the metadata file. First row is year CE.<br> metadata_2.0.0_PAGES-crit-regional+FDR.txt: According metadatam tab separated. Contains a selection of PAGES2k v.2.0.0 database fields in each row: dataSetName, geo_latitude, geo_longitude, archiveType, resMed (Median resolution in years), paleoData_TSid (the column header in the data files).<br> proxy_ama_2.0.0_HR-0.67_infilled_DINEOF_1850-2000_PAGES-crit-regional+FDR.txt: high-resolution (annual and higher) and infilled (calibration period) subset of the proxy data used for the PCR and CPS methods (210 records), see Methods section.<br> <br> Instrumental target:<br> had4_krig_ama_v2_0_0.txt: April to March aggregated target used for the reconstructions. Space separated, no column headers. Newest updated data available at: http://www-users.york.ac.uk/~kdc3/papers/coverage2013/had4_krig_v2_0_0.txt<br> <br> Climate model data used for Figs. 2-4:<br> Models_fullforced_Past1000_GMST_AprMAr.RData: R Workspace containing the model data as time series over the April-March seasonal window, to be consistent with the reconstructions. colnames(models.ama.fullforced) identifies the name of each simulation. Details see Methods section.<br> Models_ctrl_GMST_AprMar.RData: Model control runs. Same format as model data described above.<br> <br> Forcing data:<br> forcing2.csv: Global mean forcing datasets, semicolon separated. Columns: Year CE, CO2, Volcanic, Solar<br> README_forcing.md: Further information about the forcing datasets (sources etc).<br> <br> Further results used to generate the Figures:<br> ebm_results_volc_vs_all_forcing300.RData: Results from the Energy Balance Model for Fig. 4a<br> DandA_CESM_ens_30-200.RData: Results from the D&amp;A analysis for Fig. 3<br> recons.ARnoise.RData: Noise-proxy reconstructions for Figure 4b<br><br> Figs_gmst.R: R script to generate the Figures<br> R-functions_gmst.R Functions required to run Figs_gmst.R<br><br>