The variability of weather phenomena has resulted in a long-standing human concern withpredictionsof future weather conditions andweather forecasting. In early historical times, severe weather was ascribed to annoyed or malevolent divinities. Since the mid-19th century, scientific weather forecasting has ...
Evaluation of summer temperature and precipitation predictions from NCEP CFSv2 retrospective forecast over China. Clim. Dyn. 2013, 41, 2213-2230.LUO Lifeng, TANG Wei, LIN Zhaohui, et al. Evaluation of summer temperature and precipitation predictions from NCEP CFSv2 retrospec- tive forecast over ...
The correlations between monthly mean and daily mean fields which are one week before or after that month have been analysed with 15-year record of the 1000 hPa temperature for the Northern Hemisphere.It is found that the newer the daily data are,the str
The populous YRB region in China is prominently influenced by hot extremes during summer. Thus, this paper presents seasonal predictions of summer (June to August) hot extremes over the YRB (25°–34°N, 103°–120°E) for the period 1982–2022 using the preceding snowmelt, snow depth, ...
The populous YRB region in China is prominently influenced by hot extremes during summer. Thus, this paper presents seasonal predictions of summer (June to August) hot extremes over the YRB (25°–34°N, 103°–120°E) for the period 1982–2022 using the preceding snowmelt, snow depth, ...
Using 2783 days of weather data retrieved from NiMet as ground truth, the accuracy of NASA predictions with the corresponding resolution was calculated. Mean absolute error (MAE) of 2.184 °C and root mean square error (RMSE) of 2.579 °C, with a coefficient of determination (R2) of 0.710 ...
Here, we want to focus on the performance of the developed ML model when used in out-of-sample (unseen) data, i.e., predictions on a dataset that is not part of both the training and testing samples. As presented in Fig. 3 and Fig. S5, the accuracy of the developed model is ...
2). Africa, South and Central Asia, and South America have a particularly strong signal, locally above 50% increase in the number of exceedances of the 98th percentile, i.e., twice as many hot days as in unconstrained predictions. This means models that represent ΔTX more accurately ...
Temperature predictions were done for the 2-, 5-, 10-, 30-, 50- and 100-year return periods. The GEV and GUM distributions are recommended to be used in the warmer months. In the coldest months, the LN distribution gave a better fit to a series of extreme air temperatures. ...
The comparison between observations and the predictions yielded a mean NS of 0.46, with 61% of the sites having NS > 0.7. This indicated that the model derived for reference sites can also be used for nonreference sites. This application provided an approximation of the relation between air ...