Simulations of future changes in thermal structure of Lake Erken: proof of concept for ISIMIP2b lake sector local simulation strategy

<p>This paper, as a part of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b), assesses the impacts of different levels of global warming on the thermal structure of Lake Erken (Sweden). The General Ocean Turbulence Model (GOTM) one-dimensional hydrodynamic model was used to s...

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Main Authors: A. I. Ayala, S. Moras, D. C. Pierson
Format: Article
Language:English
Published: Copernicus Publications 2020-06-01
Series:Hydrology and Earth System Sciences
Online Access:https://www.hydrol-earth-syst-sci.net/24/3311/2020/hess-24-3311-2020.pdf
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spelling doaj-d7dca6a95b424a7288ab726aa76b2f632020-11-25T03:56:19ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382020-06-01243311333010.5194/hess-24-3311-2020Simulations of future changes in thermal structure of Lake Erken: proof of concept for ISIMIP2b lake sector local simulation strategyA. I. Ayala0A. I. Ayala1S. Moras2D. C. Pierson3Limnology, Department of Ecology and Genetics, Uppsala University, 752 36 Uppsala, SwedenNonlinearity and Climate Group, Department of Applied Physics, University of Geneva, 1211 Geneva 4, SwitzerlandLimnology, Department of Ecology and Genetics, Uppsala University, 752 36 Uppsala, SwedenLimnology, Department of Ecology and Genetics, Uppsala University, 752 36 Uppsala, Sweden<p>This paper, as a part of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b), assesses the impacts of different levels of global warming on the thermal structure of Lake Erken (Sweden). The General Ocean Turbulence Model (GOTM) one-dimensional hydrodynamic model was used to simulate water temperature when using ISIMIP2b bias-corrected climate model projections as input. These projections have a daily time step, while lake model simulations are often forced at hourly or shorter time steps. Therefore, it was necessary to first test the ability of GOTM to simulate Lake Erken water temperature using daily vs hourly meteorological forcing data. In order to do this, three data sets were used to force the model as follows: (1) hourly measured data, (2) daily average data derived from the first data set, and (3) synthetic hourly data created from the daily data set using generalised regression artificial neural network methods. This last data set is developed using a method that could also be applied to the daily time step ISIMIP scenarios to obtain hourly model input if needed. The lake model was shown to accurately simulate Lake Erken water temperature when forced with either daily or synthetic hourly data. Long-term simulations forced with daily or synthetic hourly meteorological data suggest that by the late 21st century the lake will undergo clear changes in thermal structure. For the representative concentration pathway (RCP) scenario, namely RCP2.6, surface water temperature was projected to increase by 1.79 and 1.36&thinsp;<span class="inline-formula"><sup>∘</sup></span>C when the lake model was forced at daily and hourly resolutions respectively, and for RCP6.0 these increases were projected to be 3.08 and 2.31&thinsp;<span class="inline-formula"><sup>∘</sup></span>C. Changes in lake stability were projected to increase, and the stratification duration was projected to be longer by 13 and 11&thinsp;d under RCP2.6 scenario and 22 and 18&thinsp;d under RCP6.0 scenario for daily and hourly resolutions. Model changes in thermal indices were very similar when using either the daily or synthetic hourly forcing, suggesting that the original ISIMIP climate model projections at a daily time step can be sufficient for the purpose of simulating lake water temperature.</p>https://www.hydrol-earth-syst-sci.net/24/3311/2020/hess-24-3311-2020.pdf
collection DOAJ
language English
format Article
sources DOAJ
author A. I. Ayala
A. I. Ayala
S. Moras
D. C. Pierson
spellingShingle A. I. Ayala
A. I. Ayala
S. Moras
D. C. Pierson
Simulations of future changes in thermal structure of Lake Erken: proof of concept for ISIMIP2b lake sector local simulation strategy
Hydrology and Earth System Sciences
author_facet A. I. Ayala
A. I. Ayala
S. Moras
D. C. Pierson
author_sort A. I. Ayala
title Simulations of future changes in thermal structure of Lake Erken: proof of concept for ISIMIP2b lake sector local simulation strategy
title_short Simulations of future changes in thermal structure of Lake Erken: proof of concept for ISIMIP2b lake sector local simulation strategy
title_full Simulations of future changes in thermal structure of Lake Erken: proof of concept for ISIMIP2b lake sector local simulation strategy
title_fullStr Simulations of future changes in thermal structure of Lake Erken: proof of concept for ISIMIP2b lake sector local simulation strategy
title_full_unstemmed Simulations of future changes in thermal structure of Lake Erken: proof of concept for ISIMIP2b lake sector local simulation strategy
title_sort simulations of future changes in thermal structure of lake erken: proof of concept for isimip2b lake sector local simulation strategy
publisher Copernicus Publications
series Hydrology and Earth System Sciences
issn 1027-5606
1607-7938
publishDate 2020-06-01
description <p>This paper, as a part of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b), assesses the impacts of different levels of global warming on the thermal structure of Lake Erken (Sweden). The General Ocean Turbulence Model (GOTM) one-dimensional hydrodynamic model was used to simulate water temperature when using ISIMIP2b bias-corrected climate model projections as input. These projections have a daily time step, while lake model simulations are often forced at hourly or shorter time steps. Therefore, it was necessary to first test the ability of GOTM to simulate Lake Erken water temperature using daily vs hourly meteorological forcing data. In order to do this, three data sets were used to force the model as follows: (1) hourly measured data, (2) daily average data derived from the first data set, and (3) synthetic hourly data created from the daily data set using generalised regression artificial neural network methods. This last data set is developed using a method that could also be applied to the daily time step ISIMIP scenarios to obtain hourly model input if needed. The lake model was shown to accurately simulate Lake Erken water temperature when forced with either daily or synthetic hourly data. Long-term simulations forced with daily or synthetic hourly meteorological data suggest that by the late 21st century the lake will undergo clear changes in thermal structure. For the representative concentration pathway (RCP) scenario, namely RCP2.6, surface water temperature was projected to increase by 1.79 and 1.36&thinsp;<span class="inline-formula"><sup>∘</sup></span>C when the lake model was forced at daily and hourly resolutions respectively, and for RCP6.0 these increases were projected to be 3.08 and 2.31&thinsp;<span class="inline-formula"><sup>∘</sup></span>C. Changes in lake stability were projected to increase, and the stratification duration was projected to be longer by 13 and 11&thinsp;d under RCP2.6 scenario and 22 and 18&thinsp;d under RCP6.0 scenario for daily and hourly resolutions. Model changes in thermal indices were very similar when using either the daily or synthetic hourly forcing, suggesting that the original ISIMIP climate model projections at a daily time step can be sufficient for the purpose of simulating lake water temperature.</p>
url https://www.hydrol-earth-syst-sci.net/24/3311/2020/hess-24-3311-2020.pdf
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