Validación de la data de precipitación (1981-2016) del producto PISCO v2.1: Estación meteorológica, elevación, estacionalidad del año y región climática en la cuenca Tumbes, Perú

Manglar Pub Date : 2023-04-01 DOI:10.57188/manglar.2023.005
Ruben Anthony ROQUE QUIROZ
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Abstract

The scarce information that is counted and its importance in hydrological studies helps us to understand, simulate, and predict the events associated with the behavior of water. I think it is necessary to check the gridded data PISCOpm V.2.1 monthly rainfall with the observations in our Tumbes basin. For this, a comparative study was carried out between the observed and estimated values, concerning the weather station, elevation, seasonality of the year, and climatic region. Indicators such as the Coefficient of Determination(R2), Nash-Sutcliffe Efficiency Index (NS), and Percentage Statistical Bias (PBIAS%) were considered. At the monthly level, good correlation results were obtained, with values greater than 0,61, in the Nash - Sutcliffe efficiency index values greater than 0,60 and a minimum variation in the Percentage Statistical Bias. Regarding the elevation of the basin, data were obtained with a minimum adjustment in all the indicators. For the seasonal arrangement, summer presents the best average fit, followed by fall and spring. Winter presents a very good adjustment for 4 out of 9. Finally, of the 3 climatic regions, the D(i)A' region presents the best adjustment in the 3 indicators. It was possible to verify the adjustment of the data, having different results according to the evaluated criterion. This supports the use of observed data and its usefulness for studies in the Tumbes basin such as floods, droughts, hydrological and hydraulic modeling, completion of missing data, etc. Based on the results, studies of water availability, analysis of extreme events, etc. can be carried out.
PISCO V2.1产品降水数据验证(1981-2016年):秘鲁Tumbes盆地的气象站、海拔、一年的季节性和气候区
所统计的稀缺信息及其在水文研究中的重要性有助于我们理解、模拟和预测与水的行为相关的事件。我认为有必要将网格数据PISCOpm V.2.1的月降雨量与我们汤伯斯盆地的观测结果进行核对。为此,对观测值和估计值进行了比较研究,涉及气象站、海拔、一年的季节性和气候区域。考虑了决定系数(R2)、Nash-Sutcliffe效率指数(NS)和统计偏差百分比(PBIAS%)等指标。在月度水平上,获得了良好的相关性结果,Nash-Sutcliffe效率指数值大于0.61,统计偏差百分比变化最小。关于盆地的高程,数据是在对所有指标进行最小调整的情况下获得的。就季节安排而言,夏季表现出最佳的平均适合度,其次是秋季和春季。冬季对9人中的4人来说是一个非常好的调整。最后,在3个气候区域中,D(i)A'区域在3个指标中表现出最佳的调整。可以验证数据的调整,根据评估标准得出不同的结果。这支持了观测数据的使用及其在汤伯斯盆地研究中的有用性,如洪水、干旱、水文和水力建模、完成缺失数据等。基于这些结果,可以进行水资源可用性研究、极端事件分析等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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