Preprints
https://doi.org/10.5194/essd-2022-457
https://doi.org/10.5194/essd-2022-457
14 Feb 2023
 | 14 Feb 2023
Status: a revised version of this preprint is currently under review for the journal ESSD.

A long-term dataset of simulated epilimnion and hypolimnion temperatures in 401 French lakes (1959–2020)

Najwa Sharaf, Jordi Prats, Nathalie Reynaud, Thierry Tormos, Tiphaine Peroux, and Pierre-Alain Danis

Abstract. Understanding the thermal behavior of lakes is crucial for water quality management. Under climate change, lakes are warming and undergoing alterations in their thermal structure, including surface and deep-water temperatures. These changes require continuous monitoring due to the possible major ecological implications on water quality and lake processes. With the scarcity of long-term in situ water temperature datasets, we present a regional long-term water temperature dataset (LakeTSim: Lake Temperature Simulations) produced over 401 French lakes by combining numerical modelling and satellite thermal data. The dataset consists of daily epilimnion and hypolimnion temperatures for the period 1959–2020 simulated with the semi-empirical OKPLM (Ottosson-Kettle-Prats Lake Model). We also describe this model and its performance. We present the uncertainty analysis of simulations with default (parametrized with satellite thermal data over all lakes and in situ measurements) and calibrated (with in situ temperature measurements for each lake) model parameters as well as the sensitivity analysis of the latter. Overall, the 90 % confidence uncertainty range is largest for hypolimnion temperature simulations with a median of 8.5 ºC and 2.32 ºC respectively with default and calibrated parameter values. There is less uncertainty associated with epilimnion temperature simulations with a median of 5.42 ºC and 1.85 ºC before and after parameter calibration. This dataset will help provide insight into the thermal functioning of French lakes. It provides over six decades of epilimnion and hypolimnion temperature data, crucial for climate change studies at a regional scale. The dataset will also be of great advantage for decision making by stakeholders.

Najwa Sharaf et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Reviewer comments', Anonymous Referee #1, 11 Apr 2023
    • AC1: 'Reply on RC1', Najwa Sharaf, 14 Apr 2023
  • RC2: 'Comment on essd-2022-457', Anonymous Referee #2, 21 Apr 2023
    • AC2: 'Reply on RC2', Najwa Sharaf, 02 Jun 2023

Najwa Sharaf et al.

Model code and software

inrae/ALAMODE-okp: okplm v1.0.1 Jordi Prats-Rodríguez and Pierre-Alain Danis https://doi.org/10.5281/zenodo.7585615

Najwa Sharaf et al.

Viewed

Total article views: 571 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
444 106 21 571 9 9
  • HTML: 444
  • PDF: 106
  • XML: 21
  • Total: 571
  • BibTeX: 9
  • EndNote: 9
Views and downloads (calculated since 14 Feb 2023)
Cumulative views and downloads (calculated since 14 Feb 2023)

Viewed (geographical distribution)

Total article views: 565 (including HTML, PDF, and XML) Thereof 565 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 30 Sep 2023
Download
Short summary
We present a regional long-term (1959–2020) dataset (LakeTSim) of daily epilimnion and hypolimnion water temperature simulations in 401 French lakes. Overall, less uncertainty is associated with epilimnion simulations compared to the hypolimnion in particular for deep reservoirs. LakeTSim is valuable for providing new insights about lakes water temperature, for assessing the impact of climate change, which is often hindered by the lack of observations and for decision making by stakeholders.