| _version_ | 1866901726461689856 |
|---|---|
| author | Cini, Matteo |
| author_facet | Cini, Matteo |
| contents | <p>This dataset contains supplementary material for the paper Noise-shaped hysteresis cycles of the AMOC under increasing CO2 forcing (M.Cini, G. Zappa, F. Ragone, S. Corti, 2023) submitted to <em>Chaos, APJ publishing. </em> <br>Here we uploaded most relevant data and scripts concerning this study. Feel free to contact us for other resources.<br><br>This datasets contains:</p> <p>1) The diagnostic output of one 6000-years simulation composed by a ramp up 3000-year simulation with concentration increasing from 354 ppm to 954ppm, and a ramp down 3000-simulation with concentration decreasing from 954 ppm to 354ppm<br><br>2) All scripts that have been used to plot the figures in the paper.</p> <p><br><strong>Simulation Architecture and model setup</strong></p> <p>The simulations have been performed with an intermediate complexity coupled climate model, composed by the Planet Simulator (PlaSim) and the Large Scale Geostrophic Ocean (LSG). All simulations are perfomed with increasing/dereasing co2 concentrations (0.2 ppm/year) starting from 354 ppm to 954ppm and vice versa for the ramp down. More information about model setup and scope of the simulations can be found in the paper.<br><br>We performed 3 single member simulations. Each simulation is composed of a 3000 years ramp up and 3000 years ramp down fo the co2. Here we upload only the diagnostic output of one of the three simulation<br><br><strong>AMOC_LD_amoc_pos_changeco2_0.2y1_ntraj1_k0_LBlock360_p1_startIDl207-y2490_r2.tar.gz & AMOC_LD_amoc_pos_changeco2_-0.2y1_ntraj1_k0_LBlock360_p1_startIDl207-y2490_r2.tar.gz</strong></p> <p>These are the ramp up and ramp down part of one simulation. Folders contain the diag files where Amoc index can be extracted. They contain also executbale files and namelists of the model.</p> <p><strong>time teries_Co2</strong></p> <p>Script for plotting time series. It has been used to plot fig.1, fig.2, fig.S1, fig.S2, fig.S3 of the paper</p> <p><strong>EWS_Co2</strong></p> <p>Scripts for the Early-Warning-Signal analysis. It has been used to plot fig.3, fig.S4, fig.S5, fig.S6 of the paper<br>NB: In the second cell, the first plot (fig 3a of the paper) is perfromed as :</p> <pre><span>run_fit_a_ar1</span><span>(</span><span>stemp</span><span>[</span><span>i</span><span>],</span> <span>ws</span><span>)</span></pre> <p><span>while the others (Fig 3b and 3c) are performed as <br></span></p> <pre><span>run_fit_a_ar1</span><span>(</span><span>stemp</span><span>[</span><span>i</span><span>] - funcfit4(time,*popt31),</span> <span>ws</span><span>)</span></pre> <p>But the results are the same with both approaches. This means that the use of <span>funcfit4, in our case didn't change the results, since a linear detrending is already applied inside the window.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14728688 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Data and scripts for "Noise-shaped hysteresis cycles of the AMOC under increasing CO2 forcing" Cini, Matteo <p>This dataset contains supplementary material for the paper Noise-shaped hysteresis cycles of the AMOC under increasing CO2 forcing (M.Cini, G. Zappa, F. Ragone, S. Corti, 2023) submitted to <em>Chaos, APJ publishing. </em> <br>Here we uploaded most relevant data and scripts concerning this study. Feel free to contact us for other resources.<br><br>This datasets contains:</p> <p>1) The diagnostic output of one 6000-years simulation composed by a ramp up 3000-year simulation with concentration increasing from 354 ppm to 954ppm, and a ramp down 3000-simulation with concentration decreasing from 954 ppm to 354ppm<br><br>2) All scripts that have been used to plot the figures in the paper.</p> <p><br><strong>Simulation Architecture and model setup</strong></p> <p>The simulations have been performed with an intermediate complexity coupled climate model, composed by the Planet Simulator (PlaSim) and the Large Scale Geostrophic Ocean (LSG). All simulations are perfomed with increasing/dereasing co2 concentrations (0.2 ppm/year) starting from 354 ppm to 954ppm and vice versa for the ramp down. More information about model setup and scope of the simulations can be found in the paper.<br><br>We performed 3 single member simulations. Each simulation is composed of a 3000 years ramp up and 3000 years ramp down fo the co2. Here we upload only the diagnostic output of one of the three simulation<br><br><strong>AMOC_LD_amoc_pos_changeco2_0.2y1_ntraj1_k0_LBlock360_p1_startIDl207-y2490_r2.tar.gz & AMOC_LD_amoc_pos_changeco2_-0.2y1_ntraj1_k0_LBlock360_p1_startIDl207-y2490_r2.tar.gz</strong></p> <p>These are the ramp up and ramp down part of one simulation. Folders contain the diag files where Amoc index can be extracted. They contain also executbale files and namelists of the model.</p> <p><strong>time teries_Co2</strong></p> <p>Script for plotting time series. It has been used to plot fig.1, fig.2, fig.S1, fig.S2, fig.S3 of the paper</p> <p><strong>EWS_Co2</strong></p> <p>Scripts for the Early-Warning-Signal analysis. It has been used to plot fig.3, fig.S4, fig.S5, fig.S6 of the paper<br>NB: In the second cell, the first plot (fig 3a of the paper) is perfromed as :</p> <pre><span>run_fit_a_ar1</span><span>(</span><span>stemp</span><span>[</span><span>i</span><span>],</span> <span>ws</span><span>)</span></pre> <p><span>while the others (Fig 3b and 3c) are performed as <br></span></p> <pre><span>run_fit_a_ar1</span><span>(</span><span>stemp</span><span>[</span><span>i</span><span>] - funcfit4(time,*popt31),</span> <span>ws</span><span>)</span></pre> <p>But the results are the same with both approaches. This means that the use of <span>funcfit4, in our case didn't change the results, since a linear detrending is already applied inside the window.</span></p> |
| title | Data and scripts for "Noise-shaped hysteresis cycles of the AMOC under increasing CO2 forcing" |
| url | https://doi.org/10.5281/zenodo.14728688 |