Dataset for Surrogate Model Benchmarking for Dynamic Climate Impact Models

The data represents time series of seasonal weather forecasts for rainfall and temperature. The dataset contains 10 forecasts of 6-month horizon from, two per year, from 2017 to 2021; start dates January 1 and July 1, respectively. Each forecast comprises 50 ensemble members. In total, this sums up to 91300 data points, each containing daily average rainfall, temperature.

Each sample (row) comprises following features (columns):

datetime: Date of the forecast sample.

forecast: Identifier of the ensemble member, i.e. integer between 1 and total number of ensemblemembers.

precip: Averaged daily rainfall forecast in millimeters.

temp: Averaged daily temperature forecast in degree Celsius.

Dataset created by The Weather Company, an IBM business. This service is based on data and products of the European Center for Medium-range Weather Forecasts (ECMWF-Archive and ECMWF-RT). Generated using Copernicus Climate Change Service information [2019 and ongoing]. ECMWF Archive data published under a Creative Commons Attribution 4.0 International (CC BY 4.0): https://creativecommons.org/licenses/by/4.0/
Disclaimer: Neither the European Commission nor ECMWF is responsible for any use that may be made of the information it contains.