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ERA5 和 ERA5-Land 温度趋势的精度评估。

Accuracy assessment of temperature trends from ERA5 and ERA5-Land.

机构信息

Department of Civil Engineering, Atilim University, 06830 Ankara, Turkey.

出版信息

Sci Total Environ. 2023 Jan 15;856(Pt 2):159182. doi: 10.1016/j.scitotenv.2022.159182. Epub 2022 Oct 1.

Abstract

Many environmental processes and ecological systems are being affected by the warming temperatures as a result of climate change. To correctly identify and attribute the uncertainty estimates in these systems, an investigation of temperature trend signal existing in the datasets that are used to study such systems is necessary. In this study, the trend of widely used ERA5 and ERA5-Land temperature estimates between 1951 and 2020 were validated using temperature trends from ground station-based observations in Turkey. The investigation included datasets obtained over 540 stations, and the seasonality and spatio-temporal variability of the trend accuracy was also investigated. On average, the trends of observations over all stations were 0.82 °C/decade and 0.30 °C/decade for the periods 2001-2020 and 1951-2020, respectively, indicating strong evidence of climate change. When the model datasets used spatially and temporally continuous datasets, the trends identified were 0.91 °C/decade and 0.21 °C/decade over the entire Turkey for the years 2001-2020 and 1951-2020, respectively. The difference in the 70-year trends of the two estimates was attributed to the missing datasets in observations. The differences between the trends of model estimates and observations were higher for the first decade than for the last two decades, stressing the impact of improved model estimates over time. All products showed heavy seasonality, suggesting that winter trends (1.3 °C/decade on average) are much higher than the summer (0.3 °C/decade) between 2001 and 2020. The results indicated a high degree of consistency between the trends of ERA5/ERA5-Land and observations, implying they may be used as a replacement to observations.

摘要

许多环境过程和生态系统正受到气候变化导致的温度升高的影响。为了正确识别和归因于这些系统中的不确定性估计,有必要对用于研究这些系统的数据集中存在的温度趋势信号进行调查。在这项研究中,使用土耳其地面站观测的温度趋势,验证了 ERA5 和 ERA5-Land 温度估计在 1951 年至 2020 年期间的趋势。该研究包括 540 多个站点的数据集,还调查了趋势精度的季节性和时空可变性。平均而言,所有站点观测的趋势分别为 0.82°C/decade 和 0.30°C/decade,在 2001-2020 年和 1951-2020 年期间,这表明气候变化的证据很强。当模型数据集使用空间和时间连续的数据集时,整个土耳其在 2001-2020 年和 1951-2020 年期间的趋势分别为 0.91°C/decade 和 0.21°C/decade。这两个估计值 70 年趋势的差异归因于观测数据的缺失。模型估计值和观测值之间的趋势差异在前十年比后二十年更高,这强调了随着时间的推移,模型估计值的改进的影响。所有产品都显示出很强的季节性,表明 2001-2020 年冬季趋势(平均为 1.3°C/decade)远高于夏季(0.3°C/decade)。结果表明,ERA5/ERA5-Land 和观测值的趋势之间具有高度的一致性,这意味着它们可以替代观测值。

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