Weather forecasting
wids2023_competition_weather_forecasting
WiDS 2023 Weather Forecasting (TsFile format)
Apache TsFile conversion of mirai-ml/wids2023_competition_weather_forecasting. The repository contains both source splits from the same Hugging Face dataset.
Modalities: Time-series.
Overview
The WiDS Datathon 2023 task forecasts the arithmetic mean of the maximum and minimum temperature over the following 14 days for each US location and start date. The source combines weather, climate, forecast-model, and oscillation… See the full description on the dataset page: https://huggingface.co/datasets/THULab/wids2023_competition_weather_forecasting.Weather-Time-Series-Forecastingweather-forecasting-challenge
Dataset Description
Data Overview
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. We are using 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… See the full description on the dataset page: https://huggingface.co/datasets/serenia-science/weather-forecasting-challenge.