Monthly gridded precipitation databases performance evaluation in North Patagonia, Argentina

IF 2.8 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Santiago I. Hurtado, Daiana V. Perri, Martin Calianno, Valeria L. Martin-Albarracin, Marcos H. Easdale
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引用次数: 0

Abstract

Precipitation records in North Patagonia (Argentina) are scarce, which hinders climate research. This research aims to assess the performance of four novel local monthly datasets together with three commonly used global datasets for North Patagonia to evaluate the advantages and disadvantages of each one. First, four different local observed-interpolated datasets were built, two using the Angular Distance Weighted (ADW) method and two using ordinary Kriging. In addition, the global datasets CRU, ERA5-Land, and GPCC were evaluated. To assess the performance of the precipitation datasets, four metrics were used to evaluate the systematic errors (bias), the mean errors, the representation of time variations, and the representation of the probability density function. The ERA5-Land with a correction factor stands out as the best global dataset and it also presents the overall best representation of the probability density function (PDF). The built dataset with ADW using a precipitation index presents the overall best performance, especially in representing the time variations. Even though ADW presents an overall better performance, ERA5-Land with a correction factor presents a better performance in terms of errors in the southern region (south of 40°S). The novel dataset is freely available through the link provided in the conclusions section.

Abstract Image

阿根廷北巴塔哥尼亚月度网格降水数据库性能评估
北巴塔哥尼亚(阿根廷)的降水记录很少,这阻碍了气候研究。本研究旨在评估北巴塔哥尼亚四种新型本地月度数据集和三种常用全球数据集的性能,以评价每种数据集的优缺点。首先,建立了四个不同的本地观测-内插数据集,其中两个使用角距离加权法(ADW),另外两个使用普通克里金法。此外,还对 CRU、ERA5-Land 和 GPCC 全球数据集进行了评估。为了评估降水数据集的性能,使用了四个指标来评估系统误差(偏差)、平均误差、时间变化的代表性和概率密度函数的代表性。带有校正因子的ERA5-Land数据集是最好的全球数据集,同时也是概率密度函数(PDF)的最佳表示。使用降水指数的 ADW 建立的数据集总体性能最佳,尤其是在表示时间变化方面。尽管 ADW 的总体性能更好,但在南部地区(南纬 40 度以南),使用校正因子的 ERA5-Land 在误差方面的性能更好。新数据集可通过结论部分提供的链接免费获取。
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来源期刊
Theoretical and Applied Climatology
Theoretical and Applied Climatology 地学-气象与大气科学
CiteScore
6.00
自引率
11.80%
发文量
376
审稿时长
4.3 months
期刊介绍: Theoretical and Applied Climatology covers the following topics: - climate modeling, climatic changes and climate forecasting, micro- to mesoclimate, applied meteorology as in agro- and forestmeteorology, biometeorology, building meteorology and atmospheric radiation problems as they relate to the biosphere - effects of anthropogenic and natural aerosols or gaseous trace constituents - hardware and software elements of meteorological measurements, including techniques of remote sensing
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