IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v263y2013icp308-325.html
   My bibliography  Save this article

Spin-up processes in the Community Land Model version 4 with explicit carbon and nitrogen components

Author

Listed:
  • Shi, Mingjie
  • Yang, Zong-Liang
  • Lawrence, David M.
  • Dickinson, Robert E.
  • Subin, Zachary M.

Abstract

Given arbitrary initial conditions, terrestrial biogeochemistry models typically require hundreds to thousands of years for carbon and nitrogen in various pools to reach steady-state solutions. Such long spin-up processes not only pose a significant burden to computational resources, but also are against observational evidence. The objectives of this study are to: (1) compare four spin-up methods and their steady-state solutions using the Community Land Model version 4 with explicit carbon and nitrogen processes (CLM4CN22SOM, soil organic matter; ND, native dynamics; CLM4CN, the Community Land Model version 4 with explicit carbon and nitrogen; PFT, plant functional types; LPJ, Lund–Potsdam–Jena Dynamic Global Vegetation Model; AD, accelerated decomposition; DDL, decelerated bulk denitrification and leaching; SI, initialization of soil carbon and nitrogen pools; CESM, the Community Earth System Model; LBA-DMIP, Large Scale Biosphere–Atmosphere Data Model Intercomparison Project; GSDT, Global Soil Data Task; ORCHIDEE, ORganizing Carbon and Hydrology in Dynamic EcosystEms.); (2) elucidate the potential weaknesses of the model that are responsible for long spin-ups. The four methods can be classified into two groups: (1) the model spins up from arbitrary initial conditions (e.g., the traditional native dynamics or ND method); (2) the model is initialized with observed soil organic matter (SOM) pools. Our results show that: (1) compared to ND, accelerating SOM decomposition rates during spin-up reduces the spin-up timescales in tropical forests, grasslands, temperate forests, and boreal forests; (2) in some temperate forests, decelerating the denitrification and leaching rates and accelerating the decomposition rates during spin-up saves more computational time than the method only with decomposition rates accelerated; (3) a reasonable SOM initialization helps the model reach its steady state quickly. We also find that in some ecosystems the vegetation seasonality described by methods with decomposition or denitrification and leaching rates changed is inconsistent with that from the ND method. CLM4CN has the potential of improving the simulations and reducing the long spin-up timescales if the model structure and ways in representing decomposition and immobilization are improved.

Suggested Citation

  • Shi, Mingjie & Yang, Zong-Liang & Lawrence, David M. & Dickinson, Robert E. & Subin, Zachary M., 2013. "Spin-up processes in the Community Land Model version 4 with explicit carbon and nitrogen components," Ecological Modelling, Elsevier, vol. 263(C), pages 308-325.
  • Handle: RePEc:eee:ecomod:v:263:y:2013:i:c:p:308-325
    DOI: 10.1016/j.ecolmodel.2013.04.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380013002123
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2013.04.008?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.

    Citations

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


    Cited by:

    1. Lo, Yueh-Hsin & Blanco, Juan A. & Canals, Rosa M. & González de Andrés, Ester & San Emeterio, Leticia & Imbert, J. Bosco & Castillo, Federico J., 2015. "Land use change effects on carbon and nitrogen stocks in the Pyrenees during the last 150 years: A modeling approach," Ecological Modelling, Elsevier, vol. 312(C), pages 322-334.
    2. Yeste, Antonio & Seely, Brad & Imbert, J. Bosco & Blanco, Juan A., 2024. "Sensitivity of long-term productivity estimations in mixed forests to uncertain parameters related to fine roots," Ecological Modelling, Elsevier, vol. 490(C).

    More about this item

    Keywords

    CLM4CN; Terrestrial biogeochemistry model; Spin-up;
    All these keywords.

    JEL classification:

    Statistics

    Access and download statistics

    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:308-325. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.