nerc.ac.uk

Simulating seasonal to multi-decadal variation in lake thermal response to meteorological forcing using the UCLAKE 1-dimensional model code

Morales-Marín, Luis A.; French, Jon R.; Burningham, Helene; Evans, Chris ORCID: https://orcid.org/0000-0002-7052-354X; Burden, Annette. 2021 Simulating seasonal to multi-decadal variation in lake thermal response to meteorological forcing using the UCLAKE 1-dimensional model code. Limnologica, 88, 125874. 22, pp. https://doi.org/10.1016/j.limno.2021.125874

Full text not available from this repository.

Abstract/Summary

Lake temperature responses to climate forcing are of interest on account of the important linkages between water temperature and ecosystem processes. This paper describes a new 1-dimensional (1D) numerical model code and its application to investigations of multi-scale linkages between the vertical temperature structure and meteorological forcing. UCLAKE is implemented as highly portable open-source software, based on computationally efficient algorithms, and able to resolve sub-daily (e.g., hourly) dynamics while retaining the efficiency to simulate multi-decadal time scales. A UCLAKE model is calibrated and validated against thermistor profile time series for a small upland lake in North Wales, UK. Some of the challenges in 1D model calibration are explored and a sensitivity analysis reveals a dependence of optimal parameter set values on water column depth and time. An exploratory 52-year hindcast simulation demonstrates the computational efficiency of UCLAKE for multi-decadal studies of trends in lake temperature that vary with depth. A supplementary application of UCLAKE to Windermere, in the English Lake District, demonstrates its performance for larger and deeper lakes.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1016/j.limno.2021.125874
UKCEH and CEH Sections/Science Areas: Soils and Land Use (Science Area 2017-)
ISSN: 0075-9511
Additional Keywords: lake temperature, lake warming, stratification, mixing, numerical model, open source
NORA Subject Terms: Ecology and Environment
Date made live: 03 Jun 2021 11:25 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/530462

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...