Weather
The dataset is supporting material for Colli et al 2018 paper. The paper describes the results obtained by the application of an innovative environmental monitoring technique able to estimate rainfall intensity in real-time by processing the attenuation of microwave satellite link signal measured by low cost sensors. The satellite used during our work, Turksat 42° E, belong to the plethora of satellites operating for television and radio channel broadcasting.
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With the advent of huge data availability and cheap processing power to derive insights from data ,applications of Big Data and Machine Learning are gaining popularity in every industry. Now, Predicting about future is no more an alternate but a necessity to increase efficiency with accurate output. Forecasting for a shorter duration (Nowcasting) fits perfectly in this space to estimate the final production for better planning and control.
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This data comes from the Climatological Database for the World's Oceans 1750-1850. The data includes observational records of ship location, weather data, and other associated data.
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Early data was collected by technicians using mercury thermometers, where any variation in the visit time impacted measurements. In the 1940s, the construction of airports caused many weather stations to be moved. In the 1980s, there was a move to electronic thermometers that are said to have a cooling bias.
Given this complexity, there are a range of organizations that collate climate trends data. The three most cited land and ocean temperature data sets are NOAA’s MLOST, NASA’s GISTEMP and the UK’s HadCrut.
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