AI weather and climate prediction is more accessible than ever for scientists, startups, developers, enterprises and government agencies worldwide. At the American Meteorological Society’s Annual ...

Abstract: This paper proposes a data-driven method for estimating rainfall levels—categorized as no rain, light rain, medium rain, and heavy rain—using data collected from a Frequency-Modulated ...

In this project, I worked with transactional data from an online retail store. The dataset contained information about customer purchases, including product details, quantities, prices, and timestamps ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Almost at every Santa Rosa County board of commissioners meeting, local Flood Defender Chris Curb, speaks to the commissioners during public forum encouraging them to use current rainfall data rather ...

Residential electricity prices hit 18¢/kWh on average in April 2025—a 35% increase over five years. Utilities requested or received approval for $29 billion in rate increases in just the first half of ...

ABSTRACT: This study investigates the trends and variations in rainfall, temperature, and relative humidity over a 33-year period (1990-2023) in the Tamale metropolis, using data from the five (5) ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

Department of Geography and Environmental Studies, School of Natural Sciences, University of Zambia, Lusaka, Zambia. This study evaluates the reliability of North American Multi-Model Ensemble (NMME) ...

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