IDEAS home Printed from https://ideas.repec.org/a/spr/climat/v141y2017i4d10.1007_s10584-017-1909-0.html
   My bibliography  Save this article

Atmospheric stilling leads to prolonged thermal stratification in a large shallow polymictic lake

Author

Listed:
  • R. Iestyn Woolway

    (University of Reading)

  • Pille Meinson

    (Estonian University of Life Sciences)

  • Peeter Nõges

    (Estonian University of Life Sciences)

  • Ian D. Jones

    (Lancaster Environment Centre)

  • Alo Laas

    (Estonian University of Life Sciences)

Abstract

To quantify the effects of recent and potential future decreases in surface wind speeds on lake thermal stratification, we apply the one-dimensional process-based model MyLake to a large, shallow, polymictic lake, Võrtsjärv. The model is validated for a 3-year period and run separately for 28 years using long-term daily atmospheric forcing data from a nearby meteorological station. Model simulations show exceptionally good agreement with observed surface and bottom water temperatures during the 3-year period. Similarly, simulated surface water temperatures for 28 years show remarkably good agreement with long-term in situ water temperatures. Sensitivity analysis demonstrates that decreasing wind speeds has resulted in substantial changes in stratification dynamics since 1982, while increasing air temperatures during the same period had a negligible effect. Atmospheric stilling is a phenomenon observed globally, and in addition to recent increases in surface air temperature, needs to be considered when evaluating the influence of climate change on lake ecosystems.

Suggested Citation

  • R. Iestyn Woolway & Pille Meinson & Peeter Nõges & Ian D. Jones & Alo Laas, 2017. "Atmospheric stilling leads to prolonged thermal stratification in a large shallow polymictic lake," Climatic Change, Springer, vol. 141(4), pages 759-773, April.
  • Handle: RePEc:spr:climat:v:141:y:2017:i:4:d:10.1007_s10584-017-1909-0
    DOI: 10.1007/s10584-017-1909-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10584-017-1909-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10584-017-1909-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Saloranta, Tuomo M. & Andersen, Tom, 2007. "MyLake—A multi-year lake simulation model code suitable for uncertainty and sensitivity analysis simulations," Ecological Modelling, Elsevier, vol. 207(1), pages 45-60.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ptak Mariusz & Sojka Mariusz & Nowak Bogumił, 2019. "Characteristics of daily water temperature fluctuations in lake kierskie (West Poland)," Quaestiones Geographicae, Sciendo, vol. 38(3), pages 41-49, September.
    2. Temidayo Olowoyeye & Mariusz Ptak & Mariusz Sojka, 2023. "How Do Extreme Lake Water Temperatures in Poland Respond to Climate Change?," Resources, MDPI, vol. 12(9), pages 1-19, September.
    3. Eunsong Jung & Gea-Jae Joo & Hyo Gyeom Kim & Dong-Kyun Kim & Hyun-Woo Kim, 2023. "Effects of Seasonal and Diel Variations in Thermal Stratification on Phytoplankton in a Regulated River," Sustainability, MDPI, vol. 15(23), pages 1-16, November.
    4. Konstantinos Stefanidis & George Varlas & Anastasios Papadopoulos & Elias Dimitriou, 2021. "Four Decades of Surface Temperature, Precipitation, and Wind Speed Trends over Lakes of Greece," Sustainability, MDPI, vol. 13(17), pages 1-14, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Moe, S. Jannicke & Haande, Sigrid & Couture, Raoul-Marie, 2016. "Climate change, cyanobacteria blooms and ecological status of lakes: A Bayesian network approach," Ecological Modelling, Elsevier, vol. 337(C), pages 330-347.
    2. Pommerening, Arne & LeMay, Valerie & Stoyan, Dietrich, 2011. "Model-based analysis of the influence of ecological processes on forest point pattern formation—A case study," Ecological Modelling, Elsevier, vol. 222(3), pages 666-678.
    3. Dibike, Yonas & Marshall, Rebecca & de Rham, Laurent, 2024. "Climatic sensitivity of seasonal ice-cover, water temperature and biogeochemical cycling in Lake 239 of the Experimental Lakes Area (ELA), Ontario, Canada," Ecological Modelling, Elsevier, vol. 489(C).
    4. Ratté-Fortin, Claudie & Chokmani, Karem & El Alem, Anas & Laurion, Isabelle, 2022. "A regional model to predict the occurrence of natural events: Application to phytoplankton blooms in continental waterbodies," Ecological Modelling, Elsevier, vol. 473(C).
    5. Wang, Fugui & Mladenoff, David J. & Forrester, Jodi A. & Keough, Cindy & Parton, William J., 2013. "Global sensitivity analysis of a modified CENTURY model for simulating impacts of harvesting fine woody biomass for bioenergy," Ecological Modelling, Elsevier, vol. 259(C), pages 16-23.
    6. Solomon Gebre & Netra Timalsina & Knut Alfredsen, 2014. "Some Aspects of Ice-Hydropower Interaction in a Changing Climate," Energies, MDPI, vol. 7(3), pages 1-15, March.
    7. Juho Jakkila & Miina Auttila & Tapio Tuukkanen & Noora Veijalainen, 2024. "Modelling climate change impacts on lake ice and snow demonstrates breeding habitat decline of the endangered Saimaa ringed seal," Climatic Change, Springer, vol. 177(9), pages 1-20, September.
    8. Silvia Bossi & Luciano Blasi & Giacomo Cupertino & Ramiro dell’Erba & Angelo Cipollini & Saverio De Vito & Marco Santoro & Girolamo Di Francia & Giuseppe Marco Tina, 2024. "Floating Photovoltaic Plant Monitoring: A Review of Requirements and Feasible Technologies," Sustainability, MDPI, vol. 16(19), pages 1-26, September.
    9. Vassilis Z. Antonopoulos & Soultana K. Gianniou, 2023. "Energy Budget, Water Quality Parameters and Primary Production Modeling in Lake Volvi in Northern Greece," Sustainability, MDPI, vol. 15(3), pages 1-22, January.
    10. Guo Chen & Zhongyu Guo & Chihiro Yoshimura, 2023. "Integration of Photodegradation Process of Organic Micropollutants to a Vertically One-Dimensional Lake Model," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    11. Sadykova, Dinara & Skurdal, Jostein & Sadykov, Alexander & Taugbol, Trond & Hessen, Dag O., 2009. "Modelling crayfish population dynamics using catch data: A size-structured model," Ecological Modelling, Elsevier, vol. 220(20), pages 2727-2733.
    12. Häbel, Henrike & Myllymäki, Mari & Pommerening, Arne, 2019. "New insights on the behaviour of alternative types of individual-based tree models for natural forests," Ecological Modelling, Elsevier, vol. 406(C), pages 23-32.
    13. Barton, D.N. & Saloranta, T. & Moe, S.J. & Eggestad, H.O. & Kuikka, S., 2008. "Bayesian belief networks as a meta-modelling tool in integrated river basin management -- Pros and cons in evaluating nutrient abatement decisions under uncertainty in a Norwegian river basin," Ecological Economics, Elsevier, vol. 66(1), pages 91-104, May.
    14. Weissenberger, Sebastian & Lucotte, Marc & Houel, Stéphane & Soumis, Nicolas & Duchemin, Éric & Canuel, René, 2010. "Modeling the carbon dynamics of the La Grande hydroelectric complex in northern Quebec," Ecological Modelling, Elsevier, vol. 221(4), pages 610-620.
    15. Janssen, Annette B.G. & Teurlincx, Sven & Beusen, Arthur H.W. & Huijbregts, Mark A.J. & Rost, Jasmijn & Schipper, Aafke M. & Seelen, Laura M.S. & Mooij, Wolf M. & Janse, Jan H., 2019. "PCLake+: A process-based ecological model to assess the trophic state of stratified and non-stratified freshwater lakes worldwide," Ecological Modelling, Elsevier, vol. 396(C), pages 23-32.
    16. Jacobs, Bas & Tobi, Hilde & Hengeveld, Geerten M., 2024. "Linking error measures to model questions," Ecological Modelling, Elsevier, vol. 487(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:climat:v:141:y:2017:i:4:d:10.1007_s10584-017-1909-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.