Correcting the forecast bias of numerical weather prediction models is important for severe
weather warnings. The refined grid forecast requires direct correction on gridded forecast …

Forecasts of maximum and minimum air temperatures are essential to mitigate the damage
of extreme weather events such as heat waves and tropical nights. The Numerical Weather …

A reliable and accurate extreme air temperature in summer is necessary to prepare for and
respond to thermal disasters such as heatstroke and power outages. The numerical weather …

Temperature forecasting is an area of ongoing research because of its importance in all life
aspects. However, because a variety of climate factors controls the temperature, it is a never …

Although many meteorological prediction models have been developed recently, their
accuracy is still unreliable. Post-processing is a task for improving meteorological …

In this study, a deep learning method named U-net neural network is utilized to calibrate the
gridded forecast of surface air temperature from the Global Ensemble Forecasting System …

Air temperature (AT) prediction can play a significant role in studies related to climate
change, radiation and heat flux estimation, and weather forecasting. This study applied and …

Accurate forecasting of wind speed holds significant importance for the economic and social
development of humanity. However, existing numerical weather predictions have certain …

Based on the China Meteorological Administration Land Data Assimilation System (CLDAS)
reanalysis data and 12–72 h forecasts of the surface (2-m) air temperature (SAT) from the …

Accurate wind speed forecasting is of great societal importance. In this study, the short-term
wind speed forecasting bias at automatic meteorological stations in Hangzhou, Zhejiang …