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Warmed Detroit Temperature Forecasting Set
Data Science and Analytics
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About
This climate simulation data offers average daily temperatures for Detroit, USA, spanning over five years. The dataset is engineered by applying a gradual, artificial warming increase to the historical temperature values. This modification simulates a minor global warming effect, providing a challenging yet structured resource for data scientists intending to test and evaluate time series forecasting models designed to predict future temperature patterns.
Columns
- date: Represents the specific calendar day. This column has validated data spanning from the beginning of October 2012 through the end of November 2017.
- temperature: The calculated average daily temperature, measured in degrees Celsius. These values are derived from historical hourly data (9 am to 5 pm) and have been intentionally augmented to reflect an artificial climate warming trend.
Distribution
The product is delivered as a single CSV file, labelled
weather-complete.csv, with a small size of 55.9 kB. It is structured with two columns. The dataset contains 1886 valid records for the date dimension. The temperature values range from a minimum of approximately -20.6°C to a maximum of 35.7°C, with a recorded mean temperature of 13.8°C.Usage
Ideal applications include using machine learning techniques to predict the artificially warmed average daily temperatures. It is suitable for those seeking to benchmark various forecasting models—such as ARIMA, Prophet, or TBATS—against a dataset exhibiting clear temporal dependency and an upward trend induced by simulation.
Coverage
The geographic scope is focused exclusively on the metropolitan area of Detroit, Michigan, USA. The temporal period covers approximately 5 years, running from October 2012 to November 2017. The measurements reflect daytime averages, ensuring consistency in the data collection method. The dataset is static and is not expected to be updated.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: To develop and refine sophisticated time series prediction models.
- Students and Researchers: For academic exercises involving climate modelling and data simulation techniques.
- Software Engineers: To create demonstrations or initial proof-of-concept projects requiring temperature forecasting capabilities.
Dataset Name Suggestions
- Detroit Simulated Daily Climate Data
- Warmed Detroit Temperature Forecasting Set
- Detroit Daily Temp Forecast Simulation
- Five-Year Detroit Warming Data
Attributes
Original Data Source: Warmed Detroit Temperature Forecasting Set
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