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9 results for “SSP5-8.5”
Antarctic Ice Sheet simulations driven by CMIP6 climate models under historical and SSP5-8.5 scenarios
<p><strong>Antarctic Ice Sheet simulations driven by CMIP6 climate models under historical and SSP5-8.5 scenarios</strong></p> <p>This dataset contains output ice sheet model runs forced by climate boundary conditions provided by CMIP6 climate model output. Each experiment set is archived in separate compressed tar.gz files. </p> <p>Description of the experiment sets, including the model setup, key parameters, climate forcings, and their main objectives are documented in Table 1 of Li, DeConto, Pollard (2023) Climate model differences contribute deep uncertainty in future Antarctic ice loss, Science Advances.</p> <p>Two kinds of output are included in each ice sheet run: fort.22 files contain time series of several key variables for the Antarctic Ice Sheet (area, volume, sea-level equivalent, etc.); fort.92.nc files contain 2D and 3D fields such as ice thickness and velocity at specific time slices.</p> <p> </p> <p> </p>
XXIst century projections of global forest soil and canopy air temperature offsets (CLM5.1, SSP5-8.5)
<p>The following dataset allows to reproduce the figures in <a href="https://iopscience.iop.org/article/10.1088/1748-9326/ad1f04/pdf">Hes et al 2024 </a>. It is generated by CLM5.1 simulations following the SSP5-8.5 scenario and contains the temperature offset between forest and grassland for soil temperature T<sub>g </sub> and canopy air temperature T<sub>c.</sub> The offset temperatures (∆T<sub>g</sub> and ∆T<sub>c</sub>) are defined as the difference between the internal temperature of the forest tile minus the internal temperature of the grassland tile. For each grid cell, we compute the difference between the area-weighted average temperature in forests, and the area-weighted average temperature over grassland.</p> <p>We define the offset for minimum ∆T<sub>g,min</sub>, maximum ∆T<sub>g,max</sub> and mean ∆T<sub>g,mean</sub> soil temperature. ∆T<sub>g,min</sub> (respectively, ∆T<sub>g,mean </sub>and ∆T<sub>g,max</sub>) is derived by selecting the monthly minimum (respectively, mean and maximum) of the 6-hourly forest ∆T<sub>g </sub>and subtracting the simultaneous T<sub>g</sub> over grassland within a grid cell. We consider all grid cells that contain both more than 0% of tree PFT cover (forest) and more than 0% of grass PFT cover (grassland). T<sub>c</sub> offsets (∆T<sub>c,min</sub>,∆T<sub>c,max</sub> and ∆T<sub>c,mean</sub>) are generated using the same method although we note that unlike for ∆T<sub>g</sub>, the differentiation between forest and grassland T<sub>c</sub> also encapsulates a difference in height.<br><br>Here, we provide monthly data for minimum, maximum and mean soil and canopy air temperature for 3 forest PFT-based biomes (boreal, temperate and tropical) and for all forest PFTs (global).<br><br>For more information, refer to the Methods is <a href="https://iopscience.iop.org/article/10.1088/1748-9326/ad1f04/pdf">Hes et al 2024</a></p>
SSP5-8.5 Data for paper "When will humanity notice its impacts on atmospheric rivers?"
<p>The repository contains the SSP5-8.5 scenario simulation (one ensemble member) of GFDL SPEAR large ensemble data. The data is used to support the finding in the paper entitled "When will humanity notice its impacts on atmospheric rivers?" by Tseng et al.</p>
SSP5-8.5 IVT data of SPEAR-LE (ens02)
<p>The repository contains the SSP5-8.5 scenario simulation (2nd ensemble) of GFDL SPEAR large ensemble data. The data is used to support the finding in the paper entitled "When will humanity notice its impacts on atmospheric rivers?" by Tseng et al. </p>
SSP5-8.5 IVT data of SPEAR-LE (ens04)
<p>The repository contains the SSP5-8.5 scenario simulation (4th ensemble) of GFDL SPEAR large ensemble data. The data is used to support the finding in the paper entitled "When will humanity notice its impacts on atmospheric rivers?" by Tseng et al. </p>
SSP5-8.5 IVT data of SPEAR-LE (ens03)
<p>The repository contains the SSP5-8.5 scenario simulation (3rd ensemble) of GFDL SPEAR large ensemble data. The data is used to support the finding in the paper entitled "When will humanity notice its impacts on atmospheric rivers?" by Tseng et al. </p>
A Factor Two Difference in 21st-Century Greenland Ice Sheet Surface Mass Balance Projections from Three Regional Climate Models for a Strong Warming Scenario (SSP5-8.5)
<p>1km regridded Greenland Ice Sheet SMB / Runoff / Melt projection until 2100. Projections from MAR, RACMO, HIRHAM forced by CESM2 (SSP5-8.5).</p>
End of century temperature and precipitation projections (SSP2-4.5 and SSP5-8.5) for 490 grape-growing regions
<p>Spreadsheet with data (mean maximum temperature, mean minimum temperature and precipitation) extracted from WorldClim 2.1 maps (https://www.worldclim.org/) for the location of each grape-growing region, for each month of the year, for the 5 time periods and the projections SSP2-4.5 and SSP5-8.5.</p> <p>This dataset supports the figures created for the review published in Journal of Experimental Botany entitled: </p> <p><strong><span>Toward understanding grapevine responses to climate change: a multistress and holistic approach.</span></strong></p> <p><span><a href="mailto:johannml@unav.es"><span><span>Johann Martínez</span></span></a><a href="mailto:johannml@unav.es"><span><span>-</span></span></a><a href="mailto:johannml@unav.es"><span><span>Lüscher</span></span></a></span><span>*<sup>1</sup>, José Tomás Matus<sup>2</sup>, Eric Gom</span><span>è<span>s<sup>3</sup>, Inmaculada Pascual<sup>1</sup></span></span></p> <p><sup><span>2 </span></sup><span>Institute for Integrative Systems Biology (I2SysBio), Universitat de València-CSIC, 46980 Paterna, Valencia, Spain.</span></p> <p><sup><span>3 </span></sup><span>EGFV, Université de Bordeaux, Bordeaux Sciences Agro, INRAE, ISVV, F-33882 Villenave d’Ornon, France</span></p> <p><span>*Corresponding author’s email: </span><span><a href="mailto:johannml@unav.es"><span>johannml@unav.es</span></a></span></p> <p> </p> <p> </p>
SSP5-8.5 IVT data of SPEAR-LE (ens05)
<p>The repository contains the SSP5-8.5 scenario simulation (5th ensemble) of GFDL SPEAR large ensemble data. The data is used to support the finding in the paper entitled "When will humanity notice its impacts on atmospheric rivers?" by Tseng et al. </p>
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