Supplementary code and data to GMD paper "Detecting causality signal in instrumental measurements and climate model simulations: global warming case study"
- 1. formerly at: Yale University, Department of Geology and Geophysics, New Haven, CT, USA
- 2. Department of Meteorology, The Pennsylvania State University, University Park, PA, USA
- 3. Large Lakes Observatory and Department of Earth and Environmental Sciences, University of Minnesota Duluth, Duluth, MN, USA
- 4. The Central Astronomical Observatory of the Russian Academy of Sciences at Pulkovo, Saint Petersburg, Russia
Description
These are MatLab scripts and data supporting the paper
"Detecting causality signal in instrumental measurements and climate model simulations: global warming case study"
by Mikhail Y. Verbitsky, Michael E. Mann, Byron A. Steinman, Dmitry M. Volobuev
Please, use
cd_tst_henon_map.m to get results shown in Fig.1
runCD_co2_T_control1.m to get results shown in Figs.2-5
data files:
surftemp_all.txt - contains 50 surrogates produced by CMIP5 ansemble models with all forcings taken into account
surftemp_anthro.txt - contains 50 surrogates produced by CMIP5 ansemble models with anthropogenic only forcings taken into account as described in
Mann, M.E., Miller, S.K., Rahmstorf, S., Steinman, B.A. and Tingley, M.: Record temperature streak bears anthropogenic fingerprint. Geophysical Research Letters, 44(15), 7936-7944, 2017
co2.dat and GISSNHMarch2017temp.dat are atmospheric co2 content and Nothern Hemisphere GISS temperature record respectively.
Scripts were tested under MatLab version R2015b
Files
Verbitsky et al.2019.zip
Files
(78.6 kB)
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