估算土耳其参考蒸散发(ET0)的CFSR再分析数据集的性能评价

IF 1.6 4区 农林科学 Q2 AGRONOMY Italian Journal of Agrometeorology-Rivista Italiana Di Agrometeorologia Pub Date : 2023-01-29 DOI:10.36253/ijam-1325
A. Irvem, Mustafa Ozbuldu
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引用次数: 2

摘要

蒸发蒸腾是水文、气象和农业研究的一个关键过程和必要参数。然而,实际蒸散量的计算是非常具有挑战性和成本高昂的。因此,使用气象数据计算的参考蒸散量(ET0)通常优于实际蒸散量。然而,从农村和山区的气象站获得完整准确的数据是一项挑战。本研究检验了气候预测系统再分析(CFSR)再分析数据集作为气象观测站的替代品的适用性,以计算土耳其七个不同气候区域的季节参考蒸散量。使用1987年至2017年CFSR再分析数据集的ET0计算与土耳其259个气象站的观测数据进行了比较。根据统计评估结果,已确定最成功的预测季节是冬季(C'=0.64-0.89,SPAEF=0.63-0.81)。该季节最成功的估计来自低海拔沿海地区。结果表明,CFSR再分析数据集的ET0估计能力在研究区是令人满意的。此外,据观察,CFSR往往高估了观测数据,尤其是在南部和西部地区。这些发现表明,使用CFSR再分析数据集的ET0计算结果在研究区域相对成功。然而,在使用之前,应使用观测数据对数据进行评估,尤其是在夏季模型中。
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Evaluation of the performance of CFSR reanalysis data set for estimating reference evapotranspiration (ET0) in Turkey
Evapotranspiration is a key process and a necessary parameter for hydrological, meteorological, and agricultural studies. However, the calculation of actual evapotranspiration is very challenging and costly. Therefore, reference evapotranspiration (ET0) calculated using meteorological data is generally preferred over actual evapotranspiration. However, it is challenging to get complete and accurate data from meteorology stations in rural and mountainous regions. This study examined the suitability of the Climate Forecast System Reanalysis (CFSR) reanalysis data set as an alternative to meteorological observation stations to compute seasonal reference evapotranspiration for seven different climatic regions of Turkey. The ET0 calculations using the CFSR reanalysis dataset for 1987-2017 were compared to data at 259 weather stations observed in Turkey. As a result of statistical evaluations, it has been determined that the most successful predicted season is winter (C’ = 0.64-0.89, SPAEF= 0.63-0.81). The most successful estimations for this season were obtained from coastal areas with low elevations. The weakest estimations were obtained for the summer season (C’ = 0.52-0.85, SPAEF= 0.59-0.77). These results show that the ET0 estimation ability of the CFSR reanalysis dataset is satisfactory for the study area. In addition, it has been observed that CFSR tends to overestimate the observation data, especially in the southern and western regions. These findings indicate that the results of the ET0 calculation using the CFSR reanalysis data set are relatively successful for the study area. However, the data should be evaluated with observation data before being used, especially in the summer models.
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来源期刊
CiteScore
2.10
自引率
8.30%
发文量
6
期刊介绍: Among the areas of specific interest of the journal there are: ecophysiology; phenology; plant growth, quality and quantity of production; plant pathology; entomology; welfare conditions of livestocks; soil physics and hydrology; micrometeorology; modeling, simulation and forecasting; remote sensing; territorial planning; geographical information systems and spatialization techniques; instrumentation to measure physical and biological quantities; data validation techniques, agroclimatology; agriculture scientific dissemination; support services for farmers.
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