Statistical Climate Forecasting Integrated for Civil and Environmental Engineering (scifi) R Package

This package provides an autoregressive integrated moving average (ARIMA) based statistical near-term (2 to 20 years) regional temperature and precipitation forecasting model, and as well as the GCM-ARIMA (G-ARIMA) model, which was further developed based on the ARIMA model and serves as an integrative forecasting technique combining the GCM projections and ARIMA forecasting.

Please refer to the following article for the descriptions of the forecasting techniques: https://doi.org/10.1175/WAF-D-19-0158.1

The following article describes the techniques of the G-ARIMA model: https://doi.org/10.1175/JAMC-D-20-0204.1

Contributing

Yuchuan Lai; David A. Dzombak

Civil and Environmental Engineering

Carnegie Mellon University

Funding

Carnegie Mellon College of Engineering Dean’s Fellowship to Yuchuan Lai, and by the Hamerschlag Chair of Professor Dzombak.