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: R, a programming language for statistical computing, has numerous packages focused on climate and weather data analysis, such as raster for spatial data and dplyr for data manipulation.
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Parameters include solar radiation, temperature, humidity, wind speed, and precipitation.
The U.S. National Renewable Energy Laboratory (NREL) offers the NSRDB, a free, highly detailed dataset covering the Americas, parts of Asia, and the Pacific. It provides hourly and half-hourly solar and meteorological data. Global Solar Atlas & Global Wind Atlas
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: For those with programming knowledge, Python offers extensive libraries for data analysis, including meteorological data. Libraries like pvlib for solar radiation analysis can be particularly useful.
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