Amplified seasonality in western Europe in a warmer world
Data files
Oct 03, 2024 version files 3.30 MB
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1_PWP_PACMAN_CC_clean.csv
74.01 KB
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1_PWP_PACMAN_clean.csv
320.56 KB
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1_PWP_PLUS_clean.csv
526.32 KB
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2_PACMAN_CC_data_corr_strict.csv
110.90 KB
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2_PACMAN_data_corr_strict.csv
476.82 KB
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2_PLUS_data_corr_strict.csv
785.23 KB
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3_PWP_sample_data_strict.csv
206.80 KB
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4_PWP_sample_data_strict.csv
247.13 KB
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5_PWP_sample_data_dated_strict.csv
275.12 KB
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6_PWP_sample_data_dated2_strict.csv
276.74 KB
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README.md
1.89 KB
Abstract
Documenting the seasonal temperature cycle constitutes an essential step toward mitigating risks associated with extreme weather events in a future warmer world. The mid-Piacenzian Warm Period (mPWP), 3.3 to 3.0 million years ago, featured global temperatures approximately 3°C above preindustrial levels. It represents an ideal period for directed paleoclimate reconstructions equivalent to model projections for 2100 under moderate Shared Socioeconomic Pathway SSP2-4.5. Here, seasonal clumped isotope analyses of fossil mollusk shells from the North Sea are presented to test Pliocene Model Intercomparison Project 2 outcomes. Joint data and model evidence reveals enhanced summer warming (+4.3° ± 1.0°C) compared to winter (+2.5° ± 1.5°C) during the mPWP, equivalent to SSP2-4.5 outcomes for future climate. We show that Arctic amplification of global warming weakens mid-latitude summer circulation while intensifying seasonal contrast in temperature and precipitation, leading to an increased risk of summer heat waves and other extreme weather events in Europe’s future.
This upload contains all data used for the manuscript “Amplified seasonality in western Europe in a warmer world” submitted for publication in Science Advances.
Description of the data and file structure
This upload contains files containing unprocessed data (in folders) as well as the outcomes of various steps of the data processing workflow (indicating by numbers in the names of the files). The dataset also contains a supplementary text file which explains the data processing workflow in detail.
Missing data in the CSV and XLSX files are indicated with “NA”.
Dates are supplied in the format “dd/mm/yyyy hh:mm”, in which d = day, m = month, y = year, h = hour and m = minute. Times are according to the European Central Time zone and in 24h format.
Sharing/Access information
This is a section for linking to other ways to access the data, and for linking to sources the data is derived from, if any.
Links to other publicly accessible locations of the data:
Data was derived from the following sources:
Code/Software
All data processing code in this data produce are produced in the open-source computational software R. Scripts for all data processing steps are provided in this upload and include comments describing the processing steps.