The reliability of European Remote Sensing 5 (ERA5) satellite-based air temperature data is
under investigation in this letter. To evaluate this, the ERA5 data will be compared with land …

Recent advancements in meteorology involve the use of ground-based sky cameras for
cloud observation. Analyzing images from these cameras helps in calculating cloud …

Remote sensing image segmentation is pivotal for earth observation, underpinning
applications such as environmental monitoring and urban planning. Due to the limited …

The sum of all currently known facts confirms the existence of a global warming process. The
development models of this process are statistical in nature and often do not take into …

Rainfall prediction remains a persistent challenge due to the highly nonlinear and complex
nature of meteorological data. Existing approaches lack systematic utilization of grid search …

The goal of predictive learning of temporal sequences is to forecast future values by learning
from historical data. The accurate prediction of relative humidity using predictive models …

In this work, we develop a Seasonal Auto-regressive Integrated Moving Average (SARIMA)
model based on a greedy algorithm for forecasting the monthly average temperature via …

Accurate long-term precipitation forecasts are important for water resource management and
disaster prevention. Traditional precipitation forecasting is mainly a statistical analysis …

In this paper, we propose a Spatial-Temporal-TES system for short-term forecasting of
temperature using reanalysis datasets. We use the ERA5 reanalysis dataset generated by …

Forecasting air temperature is very influential in various areas of fields. Temperature is an
fundamental factor that influences weather. Changes in the temperature in that environment …