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145 results for “climatic differences”
Idealized GCM dataset for "Different Pathways to an Early Eocene Climate" by Matthew Henry and Geoffrey K. Vallis
<p>Idealized GCM dataset for "Different Pathways to an Early Eocene Climate" by Matthew Henry and Geoffrey K. Vallis</p> <p>See https://github.com/matthewjhenry/eocene for code to reproduce the figures.</p>
POD6, POD0, O3 concentrations, and Jarvis functions in order to assess the global flux-based ozone risk for wheat up to 2100 under different climate scenarios
<p>Model output associated with the study <em>“Global flux-based assessment reveals declining ozone risk for wheat in future climate change scenarios”</em> (Guaita <em>et al.</em>, 2025).</p> <p>The output is provided under the <strong>Creative Commons Attribution 4.0 International (CC BY 4.0)</strong> license. Please cite <strong>both this repository and the associated paper</strong> when referencing this output.</p> <p><strong>Associated paper:</strong></p> <blockquote> <p><strong>Guaita, P., et al.</strong> (2025).<br><em>Global flux-based assessment reveals declining ozone risk for wheat in future climate change scenarios.</em><br><em>Global Change Biology (Under review)</em>.<br><a href="https://doi.org/10.xxxx/xxxxx" target="_new" rel="noopener">https://doi.org/10.xxxx/xxxxx</a></p> </blockquote> <p><strong>Model documentation:</strong></p> <blockquote> <p><strong>Guaita, P. R., Marzuoli, R., & Gerosa, G.</strong> (2023).<br><em>A regional scale flux-based O₃ risk assessment for winter wheat in northern Italy, and effects of different spatio-temporal resolutions.</em><br><em>Environmental Pollution</em>, 333, 121860.<br><a href="https://doi.org/10.1016/j.envpol.2023.121860" target="_new" rel="noopener">https://doi.org/10.1016/j.envpol.2023.121860</a></p> </blockquote> <p><strong>Model code:</strong><br>See the GitHub repository <a href="https://github.com/prguaita/O3-Deposition-model-for-wheat"><em>O3-Deposition-model-for-wheat</em></a> (© 2025 Guaita & Gerosa. All rights reserved).</p> <p>⚠️ <strong>Warning:</strong><br>Do <strong>not</strong> cite the preprint <a href="https://egusphere.copernicus.org/preprints/2024/egusphere-2024-2573/?utm_source=chatgpt.com" target="_new" rel="noopener">https://egusphere.copernicus.org/preprints/2024/egusphere-2024-2573/</a> — this version is <strong>deprecated</strong>.</p>
Dataset for Salinity Gradient Solar Pond under different Climatic Conditions and Soil Conditions
<p>Salinity Gradient Solar Pond as a two-dimensional model with an internal heat source. The differential equations in this model are solved using the finite difference technique in MATLAB software.</p> <p>The attached dataset includes the soil conditions, the climate of the particular site, the thickness of the solar pond layers, the depth of the water table.</p>
Impact of Ural blocking on early-winter climate variability under different Barents-Kara sea ice conditions
<p>Model data from "Impact of Ural blocking on early-winter climate variability under different Barents-Kara sea ice conditions".</p>
CP_OdU (Climate Projections for Odesa, Ukraine): Climate indices and daily meteorological variables for Odesa (Ukraine) in 2021-2050 by different RCM simulations from Euro-CORDEX
<ol> <li>ODS-UA_RCM_outputs_day_20210101-20501231.zip file contains outputs from Euro-CORDEX RCM’s simulation for a land-located point closest to the Odesa meteorological site (46.44N, 30.77E).</li> <li>The RCM grids define the coordinates for this point (the gridpoint is mostly located in the city center (Kateryninska^Troitska) or near the 7-km market.</li> <li>The nomenclature of files and variables in these files are defined in http://is-enes-data.github.io/cordex_archive_specifications.pdf.</li> <li>Other files contain the so-called climate indices as described in <a href="https://knmi-ecad-assets-prd.s3.amazonaws.com/documents/atbd.pdf">https://knmi-ecad-assets-prd.s3.amazonaws.com/documents/atbd.pdf</a> and table in 0readme.pdf.</li> </ol>
Fig. 4.—Climatic niche overlaps A and B in Identifying regional environmental factors driving differences in climatic niche overlap in Peromyscus mice
Fig. 4.—Climatic niche overlaps A and B differed among allopatric, parapatric, and sympatric species pairs of Peromyscus mice throughout North America. Bayesian 95% highest posterior density intervals estimates showed that sympatric species pairs had higher average overlap than parapatric or allopatric pairs and that parapatric pairs had higher average overlap than allopatric pairs.
Fig. 2 in Identifying regional environmental factors driving differences in climatic niche overlap in Peromyscus mice
Fig. 2.—Species richness map derived from geographic ranges of 43 species of Peromyscus mice available in the IUCN database (NatureServe and IUCN 2018). The remaining species mostly comprise island forms with ranges too small to be visualized in this map.
Fig. 3 in Identifying regional environmental factors driving differences in climatic niche overlap in Peromyscus mice
Fig. 3.—Illustration of the relative climatic niche overlap between species pairs of North American Peromyscus mice.
Fig. 1.—A in Identifying regional environmental factors driving differences in climatic niche overlap in Peromyscus mice
Fig. 1.—A visual summary of the three distribution modes and associated scenarios of range and climatic niche overlaps between species. The blue and green colors represent two different species within a pair. In this illustration, different parts of the triangle (a mountain) will exhibit different climatic conditions. When the two species (blue and green mouse) are aligned horizontally (either on the same mountain or on separate mountains), they will experience the same climatic conditions. When one species is above the other (either on the same mountain or on separate mountains), they experience different climatic conditions.
Model outputs and species-level data for "Functional traits and climate drive interspecific differences in disturbance-induced tree mortality".V2
<p>A minor coding error was found in the pre-formatted data of <a href="https://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.16630">Barrere et al. (2023)</a>. This error did not affect the main results of the paper, but led to minor change in the value of the posterior estimates, stored in data/sensitivity/jags_dominance.Rdata. This repository contains the new version of the parameters. </p>
References and Climatic data of the different study sites of the Moroccan Mountains
<p>This Dataset present the Precipitation and Temperature of different study sites and the references used in the article: "Pollen indices of C. atlantica M. populations vary with climatic changes in the Moroccan Mountains" </p>
Data from: Phylogeography in continuous space: coupling species distribution models and circuit theory to assess the effect of contiguous migration at different climatic periods on genetic differentiation in Busseola fusca (Lepidoptera: Noctuidae)
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Data from: What is a mild winter? Regional differences in within-species responses to climate change
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Data from: Plant adaptation to different climates shapes the strengths of chemically-mediated tritrophic interactions
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Differences in species composition between calcareous and siliceous herbaceous communities are primarily explained by competition in favourable climates
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Data from: Improved estimates of biomass expansion factors and root-to-shoot ratios: An approach for different forest types across a climatic gradient in Brazil
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Data from: Populations of aspen (Populus tremuloides Michx.) with different evolutionary histories differ in their climate occupancy
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Data from: Climate warming and humans played different roles in triggering Late Quaternary extinctions in east and west Eurasia
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Distances, climatic differences, and vegetation similarities of alpine grasslands in Europe
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CESM1.2 simulation output for: The role of westerly wind bursts during different seasons versus ocean heat recharge in the development of extreme El Niño in a climate model
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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