AI 中文总结
该研究针对中国东部121个站点，采用多尺度架构发现高湿热日的湿球温度对比随尺度增大而收缩，大尺度对比对应南北气候模式相反的日异常，区域均值无法识别该平坦场特征。
AI 中文摘要
区域湿球温度均值忽略了湿热的空间分布。我们在中国东部指定区域的121个站点，比较了月度区域均值的上四分位日和中间一半日。预先设定的多尺度架构结合了五个带宽下的高斯加权半方差，以及等月、等尺度和等夏季的聚合。该设定基于2015和2022年夏季开发，并原封不动应用于1991-2025年间的其他33个夏季。在高均值日，加权平均成对湿球温度（WBT）对比的均方值降低了7.28%，对应平方根变换后降低3.71%，以及记录级成对均方根差的均值降低3.97%。收缩随高斯图带宽增加而增强，从h=126 km时的2.86%升至h=2013 km时的13.27%。精确拉普拉斯分解将大尺度对比定位于与月度南北气候模式相反的日异常，而异常能量变化很小。该模式在1950-1990年持续存在，稀疏外部站点比较显示大尺度方向一致。高区域湿热与更平坦的大尺度地理场相关，这是区域均值无法识别的特征。
英文摘要
Regional wet-bulb temperature means omit the spatial distribution of humid heat. We compare upper-quartile and middle-half days of the monthly regional mean at 121 sites in a specified eastern-China domain. A prespecified multiscale architecture combines Gaussian-weighted semivariances at five bandwidths with equal-month, equal-scale and equal-summer aggregation. The specification was developed on the 2015 and 2022 summers and applied unchanged to 33 other summers in 1991-2025. On high-mean days, the weighted mean squared pairwise WBT contrast was 7.28% lower. This corresponds to a 3.71% reduction after square-root transformation and a 3.97% mean reduction in record-level root-mean-square pairwise differences. Contraction strengthened as the Gaussian graph bandwidth increased, from 2.86% at h = 126 km to 13.27% at h = 2,013 km. Exact Laplacian decompositions localised the broad-scale contrast to daily anomalies opposing the monthly north-south climatological pattern, while anomaly energy changed little. The pattern persisted in 1950-1990. A sparse external station comparison showed concordant broad-scale direction. High regional humid heat was associated with a flatter broad geographic field, a feature that a regional mean cannot identify.
Comments19 pages, 5 figures
