More intermittent mid- to low-latitude precipitation accompanied extreme early Paleogene warmth

As the world warms, the Earth system moves towards a climate state without societal precedent. This challenges future predictions, as climate models need to be tested and calibrated with real-world data.  One strategy for assessing the effects of greenhouse forcing on climate is to turn to Earth’s past, where changes in climate are stored in the form of sedimentological, paleontological, isotopic, and geochemical proxies. We compile global proxy data across multiple global warming events of the early Paleogene (66-47.8 Ma) – a period of extreme warmth suggested as a possible analogue for worst-case scenarios of future global warming. We take a novel, multi-proxy approach where we include information on precipitation intermittency and intensity, and integrate the proxies into climate types. The data show surprising hydrological shifts that started well before and persisted well beyond the Paleocene-Eocene Thermal Maximum – the warmest period of the Cenozoic Era and the focus of much..., This dataset was collected by compiling published literature on terrestrial temperature and precipitation during the Early Paleogene (66-47.8 Ma). Mean annual precipitation (MAP), mean annual temperature (MAT), and qualitative precipitation intermittency values were used to assign a climate type with a distinct range of MAP and MAT values. Where quantitative information was not available, qualitative proxies were assigned a range of potential MAT and MAP values based on comparison to modern environments. For a more detailed explanation of the methods, please see the published article's supplementary information. , , # Data from: More intermittent mid- to low-latitude precipitation accompanied extreme early Paleogene warmth

[https://doi.org/10.5061/dryad.r4xgxd2kg](https://doi.org/10.5061/dryad.r4xgxd2kg)

This dataset is composed of terrestrial climate proxy records compiled from published literature. The proxy sites are global and span 66-47.8 million years ago with the following variables:

1. Mean annual precipitation (MAP) in millimeters per year
2. Mean annual temperature (MAT) in degrees celsius
3. Qualitative precipitation intermittency, precipitation intensity, and temperature seasonality
4. Precipitation and temperature proxies used
5. Climate type
6. Uncertainty value from 1-5
7. Geochronology method
8. Temperature and precipitation sources
9. DeepMIP model ensemble mean annual precipitation (MAP) in millimeters per year
10. DeepMIP model ensemble mean annual temperature (MAT) in celsius
11. DeepMIP climate type

The proxy locations were assigned a climate type with a distinct range of M...,