Extreme value analysis of a time series wind data using python code.

I am working on statistical analysis of my time series wind data. My data consists of two columns, first column is ‘wind speed’ in meters/sec and second column is ‘wind direction’ (0 -360 degrees). The length of the data is nearly 30 years with 1 hour frequency. Which means number of samples/rows in my data are 30years*365days*24hours=262,800 samples. This sample number may change due to leap years.

The aim of this project is to calculate the extreme values for various return period intervals, example; 1, 10, 50 and 100 year periods. This program should preferably use Numpy and/or Scipy which are commonly used libraries.

The detailed explained along with sample figures of expected outcome is provided in the attached document.

I can provide with the sample data set to work with the code and few reference documents. Please message me for any further clarifications.

Important Note: The explanation given for methodology is only a broad understanding, it is the bidders responsibility to follow/choose correct methods and techniques.

Additionally we need future assistance with any identified bugs or errors in the code.

Skills required for this project: Python (Numpy and Scipy) and Statistics (probability density functions, probability of exceedance, probability of joint occurrence)

Taidot: Python, Tilastotiede, Tilastoanalyysi, Tietojärjestelmäarkkitehtuuri, Machine Learning (ML)

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Tietoa työnantajasta:
( 0 arvostelua ) Abu Dhabi, United Arab Emirates

Projektin tunnus: #26857053

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Greetings. I would like to help you in your statistical analysis project. I have a bachelor degree in business which qualifies me for this position. I have done a similar work of finding the extreme valus and I can s Lisää

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Hi, I recently completed my MsC thesis on time series analysis of multi-dimensional data. Your project seems to allign well with my expertise. Additionally, we could predict these extreme values.

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I am working on statistical analysis of my time series wind data. My data consists of two columns, first column is ‘wind speed’ in meters/sec and second column is ‘wind direction’ (0 -360 degrees). The length of the da Lisää

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