A glimpse of an extremely warm world - lessons from the Early Paleogene

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: A glimpse of an extremely warm world - lessons from the Early Paleogene

[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 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 MAP and MAT values based on the data which was orig...,

随着全球变暖，地球系统正迈向一种无社会先例可循的气候状态。这给未来气候预测带来了严峻挑战，因为气候模型需要通过真实世界数据进行检验与校准。评估温室强迫对气候影响的一种可行策略，是回溯地球的过去——彼时气候变化以沉积学、古生物学、同位素与地球化学代用指标（proxy）的形式被保存下来。我们汇编了早古近纪（66~47.8 Ma）多次全球变暖事件的全球代用指标数据，该时期处于极端温暖状态，被认为是未来全球变暖最坏情景的潜在类比对象。我们采用一种新颖的多代用指标研究路径，纳入了降水间歇性与强度相关信息，并将各类代用指标整合至气候类型分类体系中。数据显示出令人意外的水文变化，这些变化在古新世-始新世极热事件（Paleocene-Eocene Thermal Maximum, PETM）之前就已启动，并在该事件之后持续了相当长的时间——古新世-始新世极热事件是新生代最温暖的时期，也是众多研究关注的焦点……

本数据集通过汇编已发表的早古近纪（66~47.8 Ma）陆地温度与降水相关文献构建而成。年平均降水量（Mean Annual Precipitation, MAP）、年平均气温（Mean Annual Temperature, MAT）以及定性降水间歇性数值，被用于划定具有明确MAP与MAT值域范围的气候类型。在缺乏定量观测数据的情况下，我们通过与现代环境类比，为定性代用指标赋予潜在的MAT与MAP值域范围。若需了解研究方法的详细阐释，请参阅已发表论文的补充材料。

# 数据来源：《极热世界一瞥——早古近纪的启示》（"A glimpse of an extremely warm world - lessons from the Early Paleogene"） https://doi.org/10.5061/dryad.r4xgxd2kg

本数据集由从已发表文献中汇编的陆地气候代用指标记录组成，代用指标站点遍布全球，时间跨度为6600万至4780万年前，包含以下变量：
1. 年平均降水量（MAP），单位：毫米/年
2. 年平均气温（MAT），单位：摄氏度
3. 定性降水间歇性与温度季节性
4. 所用降水与温度代用指标
5. 气候类型
6. 1~5级的不确定性数值
7. 地质年代学方法
8. 温度与降水数据源
9. DeepMIP模型集合平均年平均降水量（MAP），单位：毫米/年
10. DeepMIP模型集合平均年平均气温（MAT），单位：摄氏度
11. DeepMIP气候类型

代用指标站点依据原始数据被划定为具有明确MAP与MAT值域范围的气候类型，相关内容原……