LegacyClimate 1.0: a dataset of pollen-based climate reconstructions from 2594 Northern Hemisphere sites covering the last 30 kyr and beyond
<p>Here we describe LegacyClimate 1.0, a dataset of the reconstruction of the mean July temperature (<span class="inline-formula"><i>T</i><sub>July</sub></span>), mean annual temperature (<span class="inline-formula"><i>T</...
| Main Authors: | , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-06-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/15/2235/2023/essd-15-2235-2023.pdf |
| Summary: | <p>Here we describe LegacyClimate 1.0, a dataset of the reconstruction of the mean July temperature (<span class="inline-formula"><i>T</i><sub>July</sub></span>), mean annual temperature (<span class="inline-formula"><i>T</i><sub>ann</sub></span>), and annual precipitation (<span class="inline-formula"><i>P</i><sub>ann</sub></span>) from 2594 fossil pollen records from the Northern Hemisphere, spanning the entire Holocene, with some records reaching back to the Last Glacial Period. Two reconstruction methods, the modern analog technique (MAT) and weighted averaging partial least squares regression (WA-PLS), reveal similar results regarding spatial and temporal patterns. To reduce the impact of precipitation on temperature reconstruction, and vice versa, we also provide reconstructions using tailored modern pollen data, limiting the range of the corresponding other climate variables. We assess the reliability of the reconstructions, using information from the spatial distributions of the root mean squared error in the prediction and reconstruction significance tests. The dataset is beneficial for synthesis studies of proxy-based reconstructions and to evaluate the output of climate models and thus help to improve the models themselves. We provide our compilation of reconstructed <span class="inline-formula"><i>T</i><sub>July</sub></span>, <span class="inline-formula"><i>T</i><sub>ann</sub></span>, and <span class="inline-formula"><i>P</i><sub>ann</sub></span> as open-access datasets at PANGAEA (<a href="https://doi.org/10.1594/PANGAEA.930512">https://doi.org/10.1594/PANGAEA.930512</a>; Herzschuh et al., 2023a). The R code for the reconstructions is provided at Zenodo (<a href="https://doi.org/10.5281/zenodo.7887565">https://doi.org/10.5281/zenodo.7887565</a>; Herzschuh et al., 2023b), including the harmonized open-access modern and fossil datasets used for the reconstructions, so that customized reconstructions can be easily established.</p> |
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| ISSN: | 1866-3508 1866-3516 |