Joel E. Podgorski

Mar 11, 2024 | nature.com | Alison P. Appling |Heather E. Golden |Joel E. Podgorski

AbstractUnderstanding and predicting the quality of inland waters are challenging, particularly in the context of intensifying climate extremes expected in the future. These challenges arise partly due to complex processes that regulate water quality, and arduous and expensive data collection that exacerbate the issue of data scarcity. Traditional process-based and statistical models often fall short in predicting water quality.