COMPUTATIONAL LIMNOLOGY

To address global water resource challenges, we need advanced models that capture ecological knowledge while leveraging the power of big data.

We therefore integrate numerical modeling, physical limnology, theoretical ecology, biogeochemistry, and machine learning into a unified framework: computational limnology.