Abouthydrology

If you want to run a hydrological model in the Po basin, or anywhere in northern Italy, the first question is which meteorological forcing to use. A few years ago the choice was short. Today there are at least a dozen gridded products, regional and European, built with different networks, methods and purposes. This post is a review of what is available, written from the poi...

Random forests are among the most used machine-learning tools in hydrology, and among the least understood by the people who use them. This post is a guided reading of how they work, written for hydrologists who want the logic before the library call.

I follow one source closely: Chapter 8, Tree-Based Methods, of An Introduction to Statistical Lea...

Every hydrological model starts from a map of precipitation and temperature that nobody measured. We measured points, at rain gauges and thermometers, and we filled the space between them with an interpolation. How well we did that filling sets the quality of everything downstream: snow, evapotranspiration, discharge, the water budget itself.

This post collects what ...