Calibration of X-band radar for extreme events in a spatially complex precipitation region in north peru: Machine learning vs. empirical approach

Article

Abstract: Cost-efficient single-polarized X-band radars are a feasible alternative due to their high sensitivi

Palabras claves:

extreme events, Machine learning, Quantitative precipitation estimate, random forest, Tropical desert, Tropical mountains, weather radar

Autores:

Johanna Orellana-Alvear, Macalupu S., Nolasco P., Rodriguez R., Rollenbeck R.

Fuentes:

google

scopus