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Evaluation of an Integrated Seasonal Forecast System for Agricultural Water Management in Mediterranean Regions

机译:地中海地区农业水管理综合季节预测系统评估

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The Euro-Mediterranean Center on Climate Change (CM-CC) seasonal forecasting system, based on the global coupled model CMCC-CM, performs seasonal forecasts every month, producing several ensemble integrations conducted for the following 6 months. In this study, a performance evaluation of the skills of this system is performed in two neighbouring Mediterranean medium-small size catchments located in Southern Italy, the Crati river and the Coscile river, whose hydrological cycles are particularly important for agricultural purposes. Initially, the performance of the system is evaluated comparing observed and simulated precipitation and temperature anomalies in the irrigation periods of the years 2011-2017. Forecasts issued on April 1st (i.e., at the beginning of the irrigation period) are evaluated, considering two lead times (first and second trimester). Afterward, the seasonal forecasts are integrated into a complete meteo-hydrological system. Precipitation and temperature provided by the global model are ingested in the spatially distributed and physically based In-STRHyM (Intermediate Space-Time Resolution Hydrological Model) model, which analyzes the hydrological impact of the seasonal forecasts. Though the predicted precipitation and temperature anomalies are not highly correlated with observations, the integrated seasonal forecast for the hydrological variables provides significant correlations between observed and predicted anomalies, especially concerning mean discharge (>0.65). Overall, the system showed to provide useful insights for agricultural water management in the study area.
机译:基于全球耦合模型CMCC-CM的欧洲地中海气候变化中心(CM-CC)季节性预测系统每月执行季节性预测,生产几个在以下6个月内进行的集成集成。在本研究中,对该系统技能的绩效评估是在意大利南部的两个邻近地中海中小型集水区进行,其水文周期对于农业目的尤为重要。最初,评估系统的性能比较2011-2017年灌溉周期中观察和模拟的沉淀和温度异常进行了比较。评估了4月1日发布的预测(即,在灌溉期初)进行评估,考虑两次交货时间(第一和第二孕季)。之后,季节性预测纳入完整的地铁水文系统。通过全局模型提供的沉淀和温度在空间分布和物理基础的基础上(中间时空分辨率水文模型)模型中摄入,分析了季节性预测的水文影响。虽然预测的沉淀和温度异常与观察结果不高度相关,但是对水文变量的集成季节性预测提供了观察和预测的异常之间的显着相关性,特别是平均放电(> 0.65)。总体而言,该系统表明为研究区内的农业水资源管理提供了有用的见解。

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