“Hyperscale” Modeling to Understand and Predict Temperature Changes in Midwest Lakes
Many inland waters across the United States are experiencing warming water temperatures. The impacts of this warming on aquatic ecosystems are significant in many areas, causing problems for fisheries management, as many economically and ecologically important fish species are experiencing range shifts and population declines. Fisheries and natural resource managers need timely and usable data and tools in order to understand and predict changes to lakes and their biota.
A previous Northeast CASC-funded project modeled lake temperatures to help state agencies in the Midwest understand trends in walleye and largemouth bass populations and predict lake-specific fish populations under future climate scenarios. These results have been extremely valuable for decisions and management strategies at the state scale, and this new project will expand these efforts and will focus on lake temperature products at the three spatial scales of most interest to state agency stakeholders: lake, state, and region (for Minnesota, Wisconsin, and Michigan).
The project researchers will use a “hyperscale” modeling approach that will build upon the multi-state modeling framework developed in the earlier project to increase model accuracy for high priority managed lakes. This approach will use all observations of temperature that exist for every study lake in the region and use machine learning techniques to uncover biases in models used for lakes with many observations. The project will generate an improved assessment of aquatic habitat for lake fisheries, and will provide estimates of contemporary thermal habitats to be used by state partners to estimate the distribution and abundance of ecologically and economically important fish species. Deliverables for this project include: 1) hind-casted lake temperature profiles (1979-present), 2) summary outputs from the thermal models, and 3) individually tuned lake models for managers to use for testing and predicting future conditions under different climate change scenarios.
- Hipsey,M.R., Bruce,L.C., Boon,C., Busch,B., Carey,C.C., Hamilton,D.P., Hanson,P.C., Read,J.S., de Sousa,E., Weber,M., Winslow,L.A.. A General Lake Model (GLM 3.0) for linking with high-frequency sensor data from the Global Lake Ecological Observatory Network (GLEON). Geoscientific Model Development. 2019;12(1):473-523. DOI-10.5194/gmd-12-473-2019
- "Water clarity and temperature influence fish habitat in Midwestern lakes", ASLO, 2018.
- Climate change effects on lake fish: what we think we know, and what we can do about it (PI Hansen; WICCI Water Resources Workshop Jan 2018)
- Climate change impacts on lake thermal regimes: Recent advances and new opportunities (PI Read; WICCI Water Resources Workshop Jan 2018)
- Accelerated lake warming rates near the Laurentian Great Lakes (S. Oliver; Global Lake Ecological Observatory Network meeting Nov 2017)
- Water Temperature Prediction (PI Read, Workshop on the USGS Water Prediction Work Program)
- Project was featured in the Sept 2017 cover of "Living on the Lake" (title: "USGS study finds lake temperatures are warming" subtitle: "what does that mean for walleye fishing?"