{"capabilities":"The Lake Thermal Regions is an web-based data explorer that allows users to view a map of the world and, for a location, determine which of the nine thermal region classifications for lakes and their seasonal vailability.  It shows the predicted lake thermal region across the globe based on simulations by the Freshwater Lake model (FLake) time series.  The lake location can be specified either by clicking on the map or by entering a set of coordinates. In addition, the app enables the user to upload their own time series of in situ lake temperature data to produce a predicted thermal region classification and confidence in the classification. This information can be used to global climate impacts and freshwater biodiversity research, but also for operational agencies that might need to identify sites that are likely to be sensitive to climate change.","description":"The purpose of the Lake Thermal Regions app is to allow a user to obtain the predicted thermal region for a specific lake location, anywhere in the globe, along with the corresponding predicted seasonal temperature pattern and confidence in classification. This provides a mechanism to identify regions in which lakes may be especially impacted by climate change - knowledge that is of use to climate impacts researchers, water resource managers, and policy makers. ","fundingSources":"The work was supported by the GloboLakes project funded by the Natural Environment Research Council (grant number NE/J021717/1).","id":"76b01c7a-cb72-4e6f-a770-4e79ada47759","infrastructureCategory":{"value":"data","description":"Environmental data and information","infrastructureClass":"Digital infrastructures","uri":"http://vocabs.ceh.ac.uk/ri/data"},"infrastructureChallenge":[{}],"lifecycle":"The app was produced in 2020, as part of the NERC-funded GloboLakes Project.","metadataDate":"2025-04-04T11:15:40","onlineResources":[{"url":"https://shiny-apps.ceh.ac.uk/LakeThermalRegions/","name":"Lake Thermal Regions app","function":"website","type":"OTHER"},{"url":"https://github.com/ruth-odonnell/LakeThermalRegions/","name":" The code to predict the thermal region of a lake based on location or in situ data is available at GitHub","function":"website","type":"OTHER"},{"url":"https://doi.org/10.1038/s41467-020-15108-z","name":"Paper associated with this app","function":"website","type":"OTHER"}],"owners":[{"honorificPrefix":"Dr","familyName":"Thackeray","givenName":"Stephen","organisationName":"UK Centre for Ecology & Hydrology","organisationIdentifier":"https://ror.org/00pggkr55","role":"pointOfContact","email":"enquiries@ceh.ac.uk","address":{"city":"Lancaster"},"fullName":"Thackeray, S.","pointOfContact":"UK Centre for Ecology & Hydrology"}],"partners":"The app was produced by Ruth O'Donnell at the School of Mathematics and Statistics, University of Glasgow.  The GloboLakes project was Led by UKCEH in partnership with  University of Stirling, University of Glasgow, University of Reading, University of Dundee","resourceIdentifiers":[{"code":"https://catalogue.ceh.ac.uk/id/76b01c7a-cb72-4e6f-a770-4e79ada47759"}],"scienceArea":"Water Resources","title":"Lake thermal regions app","type":"infrastructureRecord","uniqueness":"Lake classifications based on characteristics, such as mixing or trophic state, are widely used and valued, but a global classification of lake thermal regions, although long-desired, is lacking, unlike in terrestrial and marine systems. This lack of a classification framework restricts our ability to scale and contextualise lake research on a wide range of issues.   Uniquely, the nine lake thermal regions differed from other global patterns, they map robustly and largely contiguously globally, even for small lakes.","uri":"https://catalogue.ceh.ac.uk/id/76b01c7a-cb72-4e6f-a770-4e79ada47759","users":["International freshwater ecology and climate impacts community, operational agencies"]}