Articles | Volume 20, issue 12
https://doi.org/10.5194/cp-20-2645-2024
https://doi.org/10.5194/cp-20-2645-2024
Research article
 | 
29 Nov 2024
Research article |  | 29 Nov 2024

ClimeApp: data processing tool for monthly, global climate data from the ModE-RA palaeo-reanalysis, 1422 to 2008 CE

Richard Warren, Niklaus Emanuel Bartlome, Noémie Wellinger, Jörg Franke, Ralf Hand, Stefan Brönnimann, and Heli Huhtamaa

Data sets

ModE-RA - A global monthly paleo-reanalysis of the modern era (1421 to 2008): Set 1420-3_1850-1 V. Valler et al. https://doi.org/10.26050/WDCC/ModE-RA_s14203-18501

ModE-RAclim - A version of the ModE-RA reanalysis with climatological prior for sensitivity studies: Set 1420-3_1850-1 V. Valler et al. https://doi.org/10.26050/WDCC/ModE-RAc_s14203-18501

ModE-Sim - A medium size AGCM ensemble to study climate variability during the modern era (1420 to 2009): Set 1420-1 Ralf Hand et al. https://doi.org/10.26050/WDCC/ModE-Sim_s14201

ModE-Sim - A medium size AGCM ensemble to study climate variability during the modern era (1420 to 2009): Set 1420-2 Ralf Hand et al. https://doi.org/10.26050/WDCC/ModE-Sim_s14202

ModE-Sim - A medium size AGCM ensemble to study climate variability during the modern era (1420 to 2009): Set 1420-3 Ralf Hand et al. https://doi.org/10.26050/WDCC/ModE-Sim_s14203

ModE-Sim - A medium size AGCM ensemble to study climate variability during the modern era (1420 to 2009): Set 1850-1 Ralf Hand et al. https://doi.org/10.26050/WDCC/ModE-Sim_s18501

ModE-Sim - A medium size AGCM ensemble to study climate variability during the modern era (1420 to 2009): Set 1850-2 Ralf Hand et al. https://doi.org/10.26050/WDCC/ModE-Sim_s18502

Model code and software

shiny: Web Application Framework for R W. Chang et al. https://doi.org/10.32614/CRAN.package.shiny

ClimeApp v1.0 Niklaus Emanuel Bartlome et al. https://doi.org/10.5281/zenodo.14175969

Download
Short summary
This paper introduces the ClimeApp web application. The app provides quick access to the ModE-RA global climate reanalysis. Users can calculate and plot anomalies, composites, correlations, regressions and annual cycles across three different datasets and four climate variables. By re-examining the 1815 Tambora eruption, we demonstrate how combining results from different datasets and sources can help us investigate the historical palaeoclimate and integrate it into human history.