Weather Forcasting
Long range extreme weather forcasting for fighting climate change
Weather Forcasting | Mar, 2023 | Kaggle Notebook | Github
The WiDS Datathon 2023 focuses on a prediction task involving forecasting sub-seasonal temperatures (temperatures over a two-week period, in our case) within the United States. They used a pre-prepared dataset consisting of weather and climate information for a number of US locations, for a number of start dates for the two-week observation, as well as the forecasted temperature and precipitation from a number of weather forecast models. Each row in the data corresponds to a single location and a single start date for the two-week period. My task is to predict the arithmetic mean of the maximum and minimum temperature, for each location and start date.
If you are interested in further documentation, I have a blog detailed my solution to this problem.