Public health surveillance systems are important for tracking disease dynamics. In recent years, social and real-time digital data sources have provided new means of studying disease transmission. Such affordable and accessible data have the potential to offer new insights into disease epidemiology at national and international scales. We used the extensive information repository Google Trends ...

The seasonal prediction skills in the CAMS-CSM (the acronym stands for Chinese Academy of Meteorological Sciences Climate System Model) climate forecast system is evaluated with a set retrospective experiments during period 1981–2019. CAMS-CSM, which has been registered sixth phase coupled model intercomparison project (CMIP6), an atmosphere–ocean–land–sea ice fully general circulation model. a...

Seasonal rainfall patterns play a vital role in shaping agricultural practices, crop yields and water resource management various regions. In the context of Virdhachalam Block, Cuddalore District, accurate forecasts seasonal are crucial for successful sowing, farm operations overall planning. To address significance reliable predictions, this study examined forecast accuracy four different seas...

With scientific data growing to unprecedented volumes and the needs to share such massive amounts of data by increasing numbers of geographically distributed collaborators, the best possible network performance is required for efficient data access. Estimating the network traffic performance for a given time window with a probabilistic tolerance enables better data routing and transfers that is...

ABSTRACT Developments in meteorology over the last couple of decades have enabled significant improvements to be made in the accuracy of seasonal forecasts. This paper focuses on developing a model for cash crop planning that utilises these forecasts. It does this by determining the rate of growth of each crop as a function of heat units accumulated. This enables time to maturity to be determin...