Predicting surface temperature in Lake Villarrica (Chilean Patagonia) using a long short-term memory model.

ABSTRACT: In this study, we analyze water-temperature time series was measured over 34 years, between 1986 and 2020, at the water surface at seven stations across Lake Villarrica (Southern Chile). The spring and summer seasons show an increment in the superficial temperature during the study period. The annual maximum temperature, ranging between 17.35 and 21.65 °C were observed in 1997 and 2009, respectively, while the annual minimum, ranging between 16.8 and 21.5 °C were observed in 2001 and 2009, respectively. In addition, we employ a machine learning based estimation model to predict surface temperatures in a South American lake spanning the period 1989 to 2021. Our model uses data in situ of physical, chemical, and biological parameters of lake quality water, along with meteorological data and

SUBMITTER: Rodriguez-Lopez L 

PROVIDER: S-EPMC12623936 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature