Abstract
Easy access to high-quality weather data for long periods and for various stations not only would help the market evolve and would offer liquidity but it is also vital for effective pricing of weather products and for weather risk management. However, the available datasets have many flaws, like missing data, gaps, and errors. In this chapter, techniques for data cleaning and preprocessing are presented and analytically discussed.
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National Climatic Data Center (June 2009). “El Niño / Southern Oscillation (ENSO) June 2009.” National Oceanic and Atmospheric Administration
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Alexandridis, A.K., Zapranis, A.D. (2013). Handling the Data. In: Weather Derivatives. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6071-8_3
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DOI: https://doi.org/10.1007/978-1-4614-6071-8_3
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