The NWCSAF (Support to Nowcasting and Very Short Range Forecasting Satellite Application Facility) software package provides operational products that ensure the optimum use of meteorological satellite data in Nowcasting and Very Short Range Forecasting. The National Observatory of Athens operates NWCSAF since 2016. The rainfall estimates obtained by the Convective Rainfall Rate (CRR) nighttime algorithm and the Convective Rainfall Rate from Cloud Physical Properties (CRR-Ph) algorithm of the 2016 version are verified against rainfall observations provided by the dense network of automated surface weather stations operated by the National Observatory of Athens (NOA) for a full year. For the verification a temporal upscaling to 30 min was applied to all datasets. Overall, CRR overestimates the extent of the precipitation areas while at the same time it underestimates the precipitation totals. CRR-Ph clearly outperforms the CRR nighttime algorithm regarding the accurate delineation of precipitation areas but it overestimates the precipitation totals. Heavier precipitation is consistently detected by both algorithms although the false alarms rate is high. Seasonal variations are found, with the most important the poorer estimation performance during spring.

NWCSAF（对临近预报和超短距离预报卫星应用设施的支持）软件包提供了可确保在临近预报和超短距离预报中最佳利用气象卫星数据的操作产品。雅典国家天文台自2016年起开始运营NWCSAF。通过对流降水率（CRR）夜间算法和2016年版本对流降水率的云物理特性（CRR-Ph）算法获得的降雨量估算值已针对由由雅典国家天文台（NOA）运营的全年自动地面气象站的密集网络。为了验证，对所有数据集应用了30分钟的时间上移。全面的，CRR高估了降水区域的范围，而同时又低估了降水总量。CRR-Ph在降水区域的精确描绘方面明显优于CRR夜间算法，但它高估了降水总量。尽管误报率很高，但两种算法都能一致地检测到较重的降水。发现季节变化，最重要的是春季的估计性能较差。