The Colorado River's flow projections already looked bleak as March began. A regional heatwave has worsened them.
New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.
Abstract: Modeling time series data through statistical techniques is a common practice in economics, primarily aimed at forecasting economic indicators such as GDP to prepare for future trends. Over ...