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33 results for “palaeoclimate”
Overview of the time series in the PALMOD 130k marine palaeoclimate data synthesis
<p>Palaeoclimate time series in the PALMOD 130k marine palaeoclimate data synthesis v1.0.1. This table lists the site names and location, parameters including additional information as well as the source of the data and the original publications where the data were presented.</p>
Simulated Geomorphically Relevant Palaeoclimate Variables for the Late Cenozoic (from Mutz and Ehlers, 2019)
<p><strong>Contents Description: (see more details in file header)</strong><br> The files contains long term means of several variables derived from an ECHAM5 palaeoclimate simulation. Details about the type of means and simulations are given in the file name (see explanation below). For information about the simulation setup and boundary conditions, we refer the user to the Mutz et al. (2018) publication. For details about the construction of contained variables, we refer the reader to the Mutz and Ehlers (2019) publication. Data package <em>alterm</em> contains long term annual means, whereas package <em>mlterm</em> contains long term monthly means. The variables included in the data packages are:</p> <p>- csfd: consecutive freezing days (days)<br> - fthd: freeze thaw days (days)<br> - cswd: consecutive wet days (days)<br> - csdd: consecutive dry days (days)<br> - t2am: 2m air temperature amplitude (°C)<br> - tsam: surface temperature amplitude (°C)<br> - pamp: precipitation amplitude (mm/day)<br> - pmax: maximum daily precipitation (mm/day)</p> <p><strong>Publications:</strong><br> <em>Derived Variables (contained in these files):</em><br> Mutz S.G. and Ehlers T. A. (2019). Detection and Explanation of Spatiotemporal Patterns in Late Cenozoic Palaeoclimate Change Relevant to Earth Surface Processes. Earth Surface Dynamics. doi.org/10.5194/esurf-7-663-2019</p> <p><em>Original Simulations:</em><br> Mutz S.G., Ehlers T. A., Werner M., Lohmann G., Stepanek C., Li J., (2018). Estimates of Late Cenozoic climate change relevant to Earth surface processes in tectonically active orogens. Earth Surface Dynamics. doi.org/10.5194/esurf-6-271-2018</p> <p><strong>Authors:</strong><br> Mutz S.G., Ehlers T. A.</p> <p><strong>License:</strong><br> This work is distributed under the Creative Commons Attribution 4.0 International License</p> <p><strong>Format:</strong><br> netCDF (.nc)</p> <p><strong>File Names (nc):</strong><br> [publication]_[experiment ID]_[time period]_[horizontal resolution][vertical resolution]_[means].nc<br> </p> <table> <tbody> <tr> <td>experiment ID</td> <td>usually a letter followed by 3-5 digits, e007_2 (pre-industrial), e008 (Mid-Holocene), e009 (Last Glacial Maximum), e010 (Pliocene)</td> </tr> <tr> <td>time period</td> <td>PI (pre-industrial), MH (Mid-Holocene), LGM (Last Glacial Maximum), PLIO (Pliocene)</td> </tr> <tr> <td>horizontal resolution</td> <td>spectral resolution, t followed by a number, e.g. t159</td> </tr> <tr> <td>vertical resolution</td> <td>number of vertical levels, l followed by a number, e.g. l31</td> </tr> <tr> <td>means</td> <td>alterm (annual long term means) or mlterm (monthly long term means)</td> </tr> </tbody> </table> <p><br> <strong>Correspondence:</strong><br> Sebastian G. Mutz (sebastian@sebastianmutz.com)</p> <p> </p>
Palaeoclimate Simulations for the Late Cenozoic (from Mutz et al. 2018)
<p><strong>Contents Description: (see more details in file header)</strong><br> The files contain means of several variables from a ECHAM5 palaeoclimate simulations. Details about the simulation are given in the file name and file header. For information about the simulation setup and boundary conditions, we refer the user to the associated publication.The simulation results are bundled into different packages.</p> <p>Variables included in data package p000:<br> - aprl: large scale precipitation<br> - aprc: convective precipitation<br> - temp2: 2m air temperature<br> - u10: zonal near surface wind speeds<br> - v10: meridional near surface wind speeds</p> <p>Variables included in data package p001:<br> - aprl: large scale precipitation<br> - aprc: convective precipitation<br> - aprt: total precipitation (large scale and convective)<br> - temp2: 2m air temperature<br> - tsurf: surface temperature<br> - srads: net surface solar radiation<br> - ahfl: latent heat flux<br> - evap: evaporation<br> - pe: potential evaporation<br> - q: specific humidity<br> - ws: soil wetness<br> - drain: drainage<br> - runoff: surface runoff and drainage<br> - u10: zonal near surface wind speeds<br> - v10: meridional near surface wind speeds</p> <p>In the package file names, <em>lterm</em> refers to long term monthly means, whereas <em>mm</em> refers to monthly means.</p> <p><strong>Publication: (This is how the data should be cited.)</strong><br> Mutz S.G., Ehlers T. A., Werner M., Lohmann G., Stepanek C., Li J., (2018). Estimates of Late Cenozoic climate change relevant to Earth surface processes in tectonically active orogens. Earth Surface Dynamics. doi.org/10.5194/esurf-6-271-2018</p> <p><strong>Authors:</strong><br> Mutz S.G., Ehlers T. A., Werner M., Lohmann G., Stepanek C., Li J.</p> <p><strong>License:</strong><br> This work is distributed under the Creative Commons Attribution 4.0 International License</p> <p><strong>Format:</strong><br> netCDF (nc)</p> <p><strong>File Names (nc):</strong></p> <p>[<em>publication</em>]_[<em>experiment ID</em>]_[<em>package</em>]_[<em>means</em>].nc</p> <table> <tbody> <tr> <td><em>experiment ID</em></td> <td>usually a letter followed by 3-5 digits, e007_2 (pre-industrial), e008 (Mid-Holocene), e009 (Last Glacial Maximum), e010 (Pliocene)</td> </tr> <tr> <td><em>package</em></td> <td>p000 for selection of basic model variables, p001 for additional variables (constructed from other model variables)</td> </tr> <tr> <td><em>mean</em></td> <td>lterm for long term monthly means, mm for monthly means</td> </tr> </tbody> </table> <p> </p><p><strong>Correspondence:</strong><br> Sebastian G. Mutz (sebastian@sebastianmutz.com)</p> <p></p> <p> </p>
A method for generating coherent spatially explicit maps of seasonal palaeoclimates from site-based reconstructions
<p>Reconstruction of climate anomalies in southern Europe for the Last Glacial Maximum (LGM, ca 21,000 years ago), made by combining pollen based reconstructions (from Bartlein et al. 2011) and averaged outputs of LGM simulations from the 3rd round of the Palaeoclimate Model Intercomparison Project (PMIP, Braconnot et al. 2011), under a variational data assimilation technique. Reconstructions made using this technique are designed to be used for data-model comparison, specifically against the results of PMIP4. The dataset consists of 6 variables: moisture index (the ratio precipitation and equilibrium evapotranspiration), mean annual precipitation (mm), mean annual temperature (degrees C), mean temperature of the coldest month (degrees C), mean temperature of the warmest month (degrees C), growing degree days above 5 degrees C (day degrees C). The standard deviation of these variables is also given.</p>
The fungal ecology of the Brassington Formation (Middle Miocene) of Derbyshire, UK, and a new method for palaeoclimate reconstruction
<p>Köppen-Geiger climate class data used to reconstruct qualitative palaeoclimates. Two sheets in file. Sheet 1: Köppen-Geiger data used to reconstruct Middle Miocene Köppen-Geiger climate classes. Sheet 2: References supporting sheet 1.</p>
Fig. 3 in Palaeoclimate and fossil woods-is the use of mean sensitivity sensible?
Fig. 3. Distribution of mean MS values for the 98 fossil wood assemblages of studied database (percentages of the total number).
Fig. 2 in Palaeoclimate and fossil woods-is the use of mean sensitivity sensible?
Fig. 2. Mean MS for fossil wood assemblages in studied database as a function of assemblage size, in number of samples measured.
Fig. 1 in Palaeoclimate and fossil woods-is the use of mean sensitivity sensible?
Fig. 1. Number of publications using MS from fossil woods for palaeoclimatological inferences in the database (see SOM).
FIGURE 1. Fossil locations and fossil ages. A in Leaf trait data of two Miocene floras from eastern China and its palaeoclimate implications
FIGURE 1. Fossil locations and fossil ages. A, yellow points indicate the locations of fossil floras. The numbered red lines indicate the regional vegetation of southeastern China (background picture by GeoMapApp: geomapapp.org; the vegetation division after Zhang et al., 2007): 1, tropical rainforest and humid rainforest; 2, subtropical evergreen broad-leaved forest; 3, warm temperate deciduous oak forest; B, fossil ages of the Toupi flora (17 – 14 Ma) and Shengxian flora (10.5 ± 0.5 Ma).
FIGURE 2. Example for a in Leaf trait data of two Miocene floras from eastern China and its palaeoclimate implications
FIGURE 2. Example for a replenished fossil leaf. The yellow line is the outline of the original fossil. The blue line is the outline of replenished leaf (the leaf reconstruction was visually based on taxon specific gross morphology, Toumoulin et al., 2020). The petiole width was determined at the region of the insertion point (Traiser et al., 2018); Scale bar equals 1 cm.
FIG. 5. — A in Silicified angiosperm wood from the Dangu locality (Ypresian of the Gisors region, Eure, France) - final part: the problem of palaeoclimate reconstruction based on fossil wood
FIG. 5. — A, Dichrostachyoxylon cf. zirkelii (SY7), cross-section; B, Anogeissus sp. (W4), cross-section; C, Dichrostachyoxylon cf. zirkelii (SY7), tangential section; D, Anogeissus sp. (W4), tangential section, detail of a septate fibre (septum indicated by the arrow); E, Anogeissus sp. (W4), tangential section, general view. Scale bars: A, B, 500 µm; C, 100 µm; D, 50 µm; E, 200 µm.
FIG. 2. — A-E in Silicified angiosperm wood from the Dangu locality (Ypresian of the Gisors region, Eure, France) - final part: the problem of palaeoclimate reconstruction based on fossil wood
FIG. 2. — A-E, Grangeonixylon danguense (W1, W2); A, cross-section of the stem form (W2); B, cross-section of the root form (W1); C, stem form in tangential view (W2); D, stem form in tangential view, rays detail (W2); E, root form in tangential view (W1); F-H, cf. Liquidambaroxylon sp. (Wtourbe); F, cross-section (same part, vertically reversed, described in detail in Sakala et al. 1999: fig. 2a); G, tangential section; H, tangential section, detail of scalariform pitting. Scale bars: A, B, 500 µm; C, E, G, 200 µm; D, 150 µm; F, 100 µm; H, 50 µm.
FIG. 4 in Silicified angiosperm wood from the Dangu locality (Ypresian of the Gisors region, Eure, France) - final part: the problem of palaeoclimate reconstruction based on fossil wood
FIG. 4. — Anogeissus sp. (W4), cross-section. Abbreviations: F, fibres; PBT, parenchyma in tangential band; PT, terminal parenchyma; R, rays; V, vessels. Scale bar: 200 µm.
FIG. 3 in Silicified angiosperm wood from the Dangu locality (Ypresian of the Gisors region, Eure, France) - final part: the problem of palaeoclimate reconstruction based on fossil wood
FIG. 3. — Dichrostachyoxylon cf. zirkelii (SY7), cross-section. Abbreviations: F, fibres; PCM, circummedullar parenchym; PV, vasicentric parenchyma; R, rays; V, vessels. Scale bar: 200 µm.
FIG. 1 in Silicified angiosperm wood from the Dangu locality (Ypresian of the Gisors region, Eure, France) - final part: the problem of palaeoclimate reconstruction based on fossil wood
FIG. 1. — Location and overview of the Dangu locality; A, gymnosperm and angiosperm wood; B, palm wood; C, silicified peat, after Koeniguer (1981), modified.
FIG. 6 in Silicified angiosperm wood from the Dangu locality (Ypresian of the Gisors region, Eure, France) - final part: the problem of palaeoclimate reconstruction based on fossil wood
FIG. 6. — Reconstitution of the Dangu locality in the time of the sedimentation of the fossil peat (lower Ypresian, sparnacian facies); A, lagoon environment; B, fluvial environment; C, lagoon-fluvial environment; D, sandy-clay reliefs; E, environment of the peat deposition; F, Taxodioxylon; G, Palmoxylon; H, Dichrostachyoxylon; I, Liquidambaroxylon; J, Grangeonixylon; K, Anogeissus.
PalMod 130k marine palaeoclimate data synthesis version 1.1.1
<p>This upload is an update of the PALMOD marine palaeoclimate data synthesis. It contains a synthesis of publicly available time series from marine sedimentary archives with benthic and planktonic foraminifera stable oxygen and carbon isotope ratios, estimates of past seawater temperature and sedimentary organic carbon, carbonate and biogenic silica content. Each time series is associated with extensive metadata and chronological information and comes along with 1,000 posterior realisations of the age-depth model. For a detailed description of the synthesis procedure, structure and contents see the <a href="https://doi.org/10.5194/essd-12-1053-2020">paper</a> describing the previous version.</p> <p>The data are made available as a zip file, which contains 315 files in *.RDS format. They can read with the open source software <a href="https://cran.r-project.org">R</a>. Each file contains the data from a single sediment core and consists of a list with relevant metadata, climate data and chronological information.</p> <p>The synthesis work was supported through funding by the German Ministry of Science and Education within the framework of the German Climate Modelling initiative <a href="https://www.palmod.de/">PALMOD</a>.</p>
FIGURE 3 in Leaf trait data of two Miocene floras from eastern China and its palaeoclimate implications
FIGURE 3. Distribution of the leaf size classes in the Toupi flora and Shengxian flora.
A simple model to calculate GMP from land fraction in palaeoclimate
<p>dataset and code for a simple model which calculate GMP from land fraction in palaeoclimate</p> <p>The dataset is in Netcdf form and the code is writen by python</p>
The ikaite to calcite transformation: Implications for palaeoclimate studies
<p>Dataset for Vickers, M.L., Vickers, M., Rickaby, R.E., Wu, H., Bernasconi, S.M., Ullmann, C.V., Bohrmann, G., Spielhagen, R.F., Kassens, H., Schultz, B.P. and Alwmark, C., 2022. The ikaite to calcite transformation: Implications for palaeoclimate studies. <em>Geochimica et Cosmochimica Acta</em>, <em>334</em>, pp.201-216.</p>
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