Abstract Day-to-day temperature change is what people can directly perceive and is associated with human health. Although many studies have investigated the temperature extremes and variations, the global spatiotemporal variations of temperature change between two consecutive days remain unknown. In this study, we define the days with the daily average temperature increased or decreased more than 10 °C compared to the previous day as the Sudden Day-to-day Temperature Change (SDTC) event. The spatiotemporal analysis shows that the SDTC events frequently occur in the northern middle-high latitudes (e.g. North Asia, the United States and Europe). A decreasing trend is found in most of the above regions except the central US. Topography determines the spatial patterns, and the Arctic Oscillation and high-speed wind are statistically associated with spatiotemporal characteristics of SDTC events. General Circulation Models (GCMs) are broadly compatible with the historical records in spatial distribution and temporal variations of the SDTC. The SDTC is projected to decrease using GCMs, which is consistent with the decreasing trend in the projected high-speed wind. This study will enhance our understanding of temperature change extremes at a short time scale.

中文翻译：

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在变暖的世界中，随着日常温度突然变化而减少的天数

摘要 日常温度变化是人们可以直接感知的，与人体健康息息相关。尽管许多研究已经调查了温度的极端和变化，但连续两天之间温度变化的全球时空变化仍然未知。在本研究中，我们将日平均气温比前一天升高或降低超过 10 °C 的天数定义为每日温度突然变化 (SDTC) 事件。时空分析表明，SDTC 事件频繁发生在北部中高纬度地区（如北亚、美国和欧洲）。除美国中部外，上述大部分地区均呈下降趋势。地形决定空间格局，北极涛动和高速风在统计上与 SDTC 事件的时空特征相关。大气环流模型 (GCM) 与 SDTC 空间分布和时间变化的历史记录广泛兼容。使用 GCM 预计 SDTC 将下降，这与预计的高速风的下降趋势一致。这项研究将增强我们对短时间内温度变化极端情况的理解。