IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v263y2013icp81-91.html
   My bibliography  Save this article

State and parameter update of a hydrodynamic-phytoplankton model using ensemble Kalman filter

Author

Listed:
  • Huang, Jiacong
  • Gao, Junfeng
  • Liu, Jutao
  • Zhang, Yinjun

Abstract

Kalman filter has been successfully used in assimilating observations into the existing models, and has been continually adjusted for its wider use. In this study, one of the Kalman filter techniques (ensemble Kalman filter) was used to assimilate measured data into a spatial hydrodynamic-phytoplankton model for predicting dynamics of phytoplankton biomass in Lake Taihu. In order to investigate the effects of the initial conditions (chlorophyll a) and the model parameter on the model fit, we carried out three simulations with different update strategies of parameter and variable using ensemble Kalman filter. Two simulations updated both of model parameter and state variable once and twice a week, respectively. Another simulation updated the state variable once a week, respectively. The simulation results show that the model fit was improved when the state variable (chlorophyll a) was updated by measured data in a shorter term, and was slightly improved with time-varying parameter. In this respect, good estimates of initial chlorophyll a conditions are critical to achieve good predictions of chlorophyll a dynamics in Lake Taihu. This study demonstrates the success of the ensemble Kalman filter technique in improving models’ predictive skill, and implementing time-varying parameters for ecological models

Suggested Citation

  • Huang, Jiacong & Gao, Junfeng & Liu, Jutao & Zhang, Yinjun, 2013. "State and parameter update of a hydrodynamic-phytoplankton model using ensemble Kalman filter," Ecological Modelling, Elsevier, vol. 263(C), pages 81-91.
  • Handle: RePEc:eee:ecomod:v:263:y:2013:i:c:p:81-91
    DOI: 10.1016/j.ecolmodel.2013.04.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380013002469
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2013.04.022?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. Turley, Marianne C. & Ford, E. David, 2009. "Definition and calculation of uncertainty in ecological process models," Ecological Modelling, Elsevier, vol. 220(17), pages 1968-1983.
    2. Lindenschmidt, Karl-Erich & Fleischbein, Katrin & Baborowski, Martina, 2007. "Structural uncertainty in a river water quality modelling system," Ecological Modelling, Elsevier, vol. 204(3), pages 289-300.
    3. Jeong, Kwang-Seuk & Kim, Dong-Kyun & Jung, Jong-Mun & Kim, Myoung-Chul & Joo, Gea-Jae, 2008. "Non-linear autoregressive modelling by Temporal Recurrent Neural Networks for the prediction of freshwater phytoplankton dynamics," Ecological Modelling, Elsevier, vol. 211(3), pages 292-300.
    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. Huang, Jiacong & Gao, Junfeng, 2017. "An improved Ensemble Kalman Filter for optimizing parameters in a coupled phosphorus model for lowland polders in Lake Taihu Basin, China," Ecological Modelling, Elsevier, vol. 357(C), pages 14-22.

    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. Xuan Wang & Wenchong Tian & Zhenliang Liao, 2022. "Framework for Hyperparameter Impact Analysis and Selection for Water Resources Feedforward Neural Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(11), pages 4201-4217, September.
    2. Ma, Shaoxiu & Churkina, Galina & Wieland, Ralf & Gessler, Arthur, 2011. "Optimization and evaluation of the ANTHRO-BGC model for winter crops in Europe," Ecological Modelling, Elsevier, vol. 222(20), pages 3662-3679.
    3. Li, Y.P. & Huang, G.H. & Zhang, N. & Nie, S.L., 2011. "An inexact-stochastic with recourse model for developing regional economic-ecological sustainability under uncertainty," Ecological Modelling, Elsevier, vol. 222(2), pages 370-379.
    4. Marzloff, Martin P. & Johnson, Craig R. & Little, L. Rich & Soulié, Jean-Christophe & Ling, Scott D. & Frusher, Stewart D., 2013. "Sensitivity analysis and pattern-oriented validation of TRITON, a model with alternative community states: Insights on temperate rocky reefs dynamics," Ecological Modelling, Elsevier, vol. 258(C), pages 16-32.
    5. Li, Linjun & Lu, Hongfang & Campbell, Daniel E. & Ren, Hai, 2011. "Methods for estimating the uncertainty in emergy table-form models," Ecological Modelling, Elsevier, vol. 222(15), pages 2615-2622.
    6. Kooi, B.W. & Bontje, D. & van Voorn, G.A.K. & Kooijman, S.A.L.M., 2008. "Sublethal toxic effects in a simple aquatic food chain," Ecological Modelling, Elsevier, vol. 212(3), pages 304-318.
    7. Perz, Stephen G. & Muñoz-Carpena, Rafael & Kiker, Gregory & Holt, Robert D., 2013. "Evaluating ecological resilience with global sensitivity and uncertainty analysis," Ecological Modelling, Elsevier, vol. 263(C), pages 174-186.
    8. Maharjan, Ganga Ram & Ruidisch, Marianne & Shope, Christopher L. & Choi, Kwanghun & Huwe, Bernd & Kim, Seong Joon & Tenhunen, John & Arnhold, Sebastian, 2016. "Assessing the effectiveness of split fertilization and cover crop cultivation in order to conserve soil and water resources and improve crop productivity," Agricultural Water Management, Elsevier, vol. 163(C), pages 305-318.
    9. Qiang Xu & Zhimin Qiang & Qiuwen Chen & Kuo Liu & Nan Cao, 2018. "A Superposed Model for the Pipe Failure Assessment of Water Distribution Networks and Uncertainty Analysis: A Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(5), pages 1713-1723, March.

    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:eee:ecomod:v:263:y:2013:i:c:p:81-91. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    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.