ISIMIP2b Simulation Data from the Local Lakes Sector

Cite as

Rafael Marcé, Donald Pierson, Daniel Mercado-Bettin, Wim Thiery, Sebastiano Piccolroaz, Bronwyn Woodward, Richard Iestyn Woolway, Zeli Tan, Georgiy Kirillin, Tom Shatwell, Raoul-Marie Couture, Marianne Côté, Damien Bouffard, Carl Love Mikael Råman Vinnå, Martin Schmid, Jacob Schewe (2022): ISIMIP2b Simulation Data from the Local Lakes Sector (v1.0). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.563533

Metadata

DOI:
https://doi.org/10.48364/ISIMIP.563533
Title:
ISIMIP2b Simulation Data from the Local Lakes Sector
Version:
1.0
Creators:
Contact person:

For inquiries concerning this dataset, please contact info@isimip.org.

Abstract:

The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a set of consistent, multi-sector, multi-scale climate-impact simulations, based on scientifically and politically relevant historical and future scenarios. This framework serves as a basis for robust projections of climate impacts, as well as facilitating model evaluation and improvement, allowing for advanced estimates of the biophysical and socio-economic impacts of climate change at different levels of global warming. It also provides a unique opportunity to consider interactions between climate impacts across sectors.

ISIMIP2b simulations focus on separating the impacts and quantifying the pure climate change effects of historical warming (1861-2005) compared to pre-industrial reference levels (1661-1860); and on quantifying the future (2006-2099) and extended future (2006-2299) impact projections accounting for low (RCP2.6), mid-high (RCP6.0) and high (RCP8.5) greenhouse gas emissions, assuming either constant (year 2005) or dynamic population, land and water use and -management, economic development, bioenergy demand, and other societal factors. The scientific rationale for the scenario design is documented in Frieler et al. (2017).

This dataset contains ISIMIP2b simulation data from six local lakes model: air2water4par/air2water6par (Piccolroaz et al. 2013, 2014, 2015, 2016, 2017, 2020), ALBM (Tan et al. 2015, 2016, 2018), FLake-IGB (Kirillin et al. 2011), MyLake (https://github.com/biogeochemistry/MyLake_public, Saloranta et al. 2007, Kiuru et al. 2019, Markelov et al. 2019), Simstrat (https://github.com/Eawag-AppliedSystemAnalysis/Simstrat, Goudsmit et al. 2003, Gaudard et al. 2019).

Methods:

The ISIMIP2b local lakes outputs are based on simulations from local lakes models according to the ISIMIP2b protocol (https://www.isimip.org/protocol/2b/). A more detailed description of the models and model-specific amendments of the protocol are available here: https://www.isimip.org/impactmodels.

Publication date:
June 10, 2022
Publisher:
ISIMIP Repository
Contributors:

Here we list the persons and organizations, who are responsible for the collection, the management, and the publication of this dataset. The icons indicate the different roles of the Data Authorship Contributor Roles Taxonomy DataCRediT, which was initially developed for EnviDat.

Rights

Attribution 4.0 International
Attribution 4.0 International (CC BY 4.0)
When using ISIMIP data for your research, please appropriately credit the data providers, e.g. either by citing the DOI for the dataset, or by appropriate acknowledgment. We strongly encourage to offer co-authorship to at least a representative of the data providers. Further information can be found in our terms of use.

Export

Download

Is documented by

Cites

  • Frieler, K., Lange, S., Piontek, F., Reyer, C. P. O., Schewe, J., Warszawski, L., Zhao, F., Chini, L., Denvil, S., Emanuel, K., Geiger, T., Halladay, K., Hurtt, G., Mengel, M., Murakami, D., Ostberg, S., Popp, A., Riva, R., Stevanovic, M., Suzuki, T., Volkholz, J., Burke, E., Ciais, P., Ebi, K., Eddy, T. D., Elliott, J., Galbraith, E., Gosling, S. N., Hattermann, F., Hickler, T., Hinkel, J., Hof, C., Huber, V., Jägermeyr, J., Krysanova, V., Marcé, R., Müller Schmied, H., Mouratiadou, I., Pierson, D., Tittensor, D. P., Vautard, R., van Vliet, M., Biber, M. F., Betts, R. A., Bodirsky, B. L., Deryng, D., Frolking, S., Jones, C. D., Lotze, H. K., Lotze-Campen, H., Sahajpal, R., Thonicke, K., Tian, H., and Yamagata, Y.: Assessing the impacts of 1.5 °C global warming – simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b), Geosci. Model Dev., 10, 4321–4345, 2017, https://doi.org/10.5194/gmd-10-4321-2017
  • Piccolroaz S et al. Prediction of lake surface temperature using the air2water model: guidelines, challenges, and future perspectives. Advances in Oceanography and Limnology, 7, 2016, https://doi.org/10.4081/aiol.2016.5791
  • Toffolon M, Piccolroaz S, Majone B, Soja A, Peeters F, Schmid M, Wüest A et al. Prediction of surface temperature in lakes with different morphology using air temperature. Limnology and Oceanography, 59, 2185-2202, 2014, https://doi.org/10.4319/lo.2014.59.6.2185
  • Piccolroaz S., M. Toffolon, and B. Majone et al. The role of stratification on lakes' thermal response: The case of Lake Superior. Water Resources Research, 51, 7878-7894, 2015, https://doi.org/doi:10.1002/2014WR016555
  • Piccolroaz S, Healey N, Lenters J, Schladow S, Hook S, Sahoo G, Toffolon M et al. On the predictability of lake surface temperature using air temperature in a changing climate: A case study for Lake Tahoe (U.S.A.). Limnology and Oceanography, 63, 243-261, 2017, https://doi.org/10.1002/lno.10626
  • Piccolroaz S, R.I. Woolway, C.J. Merchant et al. Global reconstruction of twentieth century lake surface water temperature reveals different warming trends depending on the climatic zone. Climatic Change, 2020, https://doi.org/10.1007/s10584-020-02663-z
  • G. Kirillin, J. Hochschild, D. Mironov, A. Terzhevik, S. Golosov, G. Nützmann, FLake-Global: Online lake model with worldwide coverage, Environmental Modelling & Software, Volume 26, Issue 5, 2011, Pages 683-684, ISSN 1364-8152, https://doi.org/10.1016/j.envsoft.2010.12.004
  • Saloranta T, Andersen T et al. MyLake—A multi-year lake simulation model code suitable for uncertainty and sensitivity analysis simulations. Ecological Modelling, 207, 45-60, 2007, https://doi.org/10.1016/j.ecolmodel.2007.03.018
  • Petri Kiuru, Anne Ojala, Ivan Mammarella, Jouni Heiskanen, Kukka-Maaria Erkkilä, Heli Miettinen, Timo Vesala, and Timo Huttula et al. Applicability and consequences of the integration of alternative models for CO<sub>2</sub> transfer velocity into a process-based lake model. Biogeosciences, 16, 3297–3317, 2019, https://doi.org/10.5194/bg-2019-95-rc2
  • Markelov I, Couture R, Fischer R, Haande S, Van Cappellen P et al. Coupling Water Column and Sediment Biogeochemical Dynamics: Modeling Internal Phosphorus Loading, Climate Change Responses, and Mitigation Measures in Lake Vansjø, Norway. Journal of Geophysical Research: Biogeosciences, 124, 3847-3866, 2019, https://doi.org/10.1029/2019jg005254
  • Gaudard A, Råman Vinnå, L, Bärenbold F, Schmid M, Bouffard D et al. Toward an open-access of high-frequency lake modelling and statistics data for scientists and practitioners. The case of Swiss Lakes using Simstrat v2.1. Geoscientific Model Development, 12, 3955-3974, 2019, https://doi.org/10.5194/gmd-2018-336-rc1

Datasets for this DOI

There are 113918 datasets for this DOI, which is to much to display here. Please refer to the DataCite XML or DataCite JSON to get a complete list.