2. 使用FAO/GAUL_SIMPLIFIED_500m/2015/level0数据集,过滤出包含上述几何点的区域roi,并将该区域添加到地图中。 3. 使用ECMWF/ERA5_LAND/DAILY_AGGR数据集,选择了温度变量temperature_2m,并进行了一系列筛选条件:选择2015年到2018年的数据,以及3月到6月的数据。然后对每个图像进行了处理,将温度转换为摄氏度,并...
To better analyze the spatial and temporal changes in the FG, two 30-year periods (1951–1980 and 1991–2020) were extracted, and the annual PFG, SFG, IFG and NFG were aggregated into 30-year values (PFG30, SFG30, IFG30, and NFG30), determined as follows:(2)Land{PFG30NPFG=30SFG...
ECMWF reanalysis was found to reproduce the pattern of daily and monthly precipitation for the country (Fig. 9) being able to capture the most part of the spatio-temporal variance. Similar good performance was obtained from an EOF analysis in Jiao et al. (2021) for China. ECMWF first and ...
studies, and it provides a solid foundation for climate change trend analysis and long-term climate research. In this study, hourly precipitation data from 2001 to 2013 were obtained. To maintain consistency with the station observations, the hourly precipitation data were aggregated to daily scales...
In addition, close-to-operative forecasting was also presented, which was trained on the observed data and tested on ERA5 data as a proxy of SEAS5, the seasonal forecasting product of the same RCM provided by ECMWF. The analysis was performed for different time horizons ranging from seven ...
(eight daily values). ERA5 is the latest ECMWF’s atmospheric reanalysis, produced by Copernicus Climate Change Service. It is based on a 2016 version of the IFS (cycle 41r2). The horizontal resolution is about 31 km (TL639). It has 137 vertical layers culminating at 0.01 hPa. The ...
Next, the estimated 𝑅𝑛_𝑖𝑛𝑠 Rn_ins values were aggregated into 𝑅𝑛_𝑑𝑎𝑦𝑡𝑖𝑚𝑒 Rn_daytime according to Equation (11). To obtain 𝑅𝑛_𝑑𝑎𝑖𝑙𝑦 Rn_daily from 𝑅𝑛_𝑑𝑎𝑦𝑡𝑖𝑚𝑒Rn_daytime, the relationship between the two parameter...