Cuadrat José María, Serrano-Notivoli Roberto, Prohom Marc, Cunillera Jordi, Tejedor Ernesto, Saz Miguel Ángel, de Luis Martín, Llabrés-Brustenga Alba, Soubeyroux Jean-Michel
Dept. of Geography and Regional Planning, Environmental Sciences Institute (IUCA), University of Zaragoza, Zaragoza, Spain.
Dept. of Geography and Regional Planning, Environmental Sciences Institute (IUCA), University of Zaragoza, Zaragoza, Spain.
Sci Total Environ. 2024 Jul 10;933:173052. doi: 10.1016/j.scitotenv.2024.173052. Epub 2024 May 10.
We utilized an extensive, multisource, cross-border dataset of daily meteorological observations from over 1500 stations in the Pyrenees, spanning from the mid-20th century to 2020, to examine the spatial and temporal climate patterns. Our focus was on 17 indices related to extreme precipitation and temperature events across the mountain range. The original data underwent rigorous quality control and homogenization processes, employing a comprehensive workflow that included spatial modeling based on environmental predictors. This process yielded two main outcomes: 1) a high-resolution gridded dataset (1 km) of daily precipitation, maximum and minimum temperature from 1981 to 2020, allowing for a detailed analysis of spatial variations; and 2) an evaluation of long-term annual and seasonal trends from 1959 to 2020, using selection of high-quality data series that were homogenized to preserve their temporal structure and coherence. The findings revealed a clear elevation-related pattern in temperature indices (with the exception of tropical nights, which were predominantly observed on the Mediterranean side) and a distinct north-south latitudinal disparity in precipitation, turning longitudinal when focusing on extreme precipitation events. Overall, there was a notable and significant warming trend of 0.2 to 0.4 °C per decade, and a non-significant change of precipitation, with the exception of the southern and Mediterranean regions, where there was a notable decrease, approximately -3 % per decade, observed on an annual basis.
我们利用了一个广泛的、多源的、跨境的数据集,该数据集包含了比利牛斯山脉1500多个站点从20世纪中叶到2020年的每日气象观测数据,以研究空间和时间上的气候模式。我们重点关注了与整个山脉极端降水和温度事件相关的17个指标。原始数据经过了严格的质量控制和均一化处理,采用了一个全面的工作流程,其中包括基于环境预测因子的空间建模。这个过程产生了两个主要结果:1)一个1981年至2020年每日降水、最高和最低温度的高分辨率网格化数据集(1公里),便于对空间变化进行详细分析;2)对1959年至2020年的长期年度和季节趋势进行评估,使用经过均一化处理以保留其时间结构和连贯性的高质量数据系列。研究结果显示,温度指标呈现出明显的与海拔相关的模式(热带夜晚除外,其主要出现在地中海一侧),降水存在明显的南北纬度差异,在关注极端降水事件时呈纵向差异。总体而言,每十年有0.2至0.4°C的显著变暖趋势,降水变化不显著,但南部和地中海地区除外,在这些地区每年观察到约-3%的显著下降。