University Library
  • Login
A gateway to Melbourne's research publications
Minerva Access is the University's Institutional Repository. It aims to collect, preserve, and showcase the intellectual output of staff and students of the University of Melbourne for a global audience.
View Item 
  • Minerva Access
  • Engineering
  • Infrastructure Engineering
  • Infrastructure Engineering - Research Publications
  • View Item
  • Minerva Access
  • Engineering
  • Infrastructure Engineering
  • Infrastructure Engineering - Research Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

    Improving the representation of cropland sites in the Community Land Model (CLM) version 5.0

    Thumbnail
    Download
    Submitted version (2.730Mb)

    Citations
    Altmetric
    Author
    Boas, T; Bogena, H; Grünwald, T; Heinesch, B; Ryu, D; Schmidt, M; Vereecken, H; Western, A; Hendricks-Franssen, H-J
    Date
    2020
    Source Title
    Geoscientific Model Development Discussions
    Publisher
    Copernicus Publications
    University of Melbourne Author/s
    Ryu, Dongryeol; Western, Andrew
    Affiliation
    Infrastructure Engineering
    Metadata
    Show full item record
    Document Type
    Journal Article
    Citations
    Boas, T., Bogena, H., Grünwald, T., Heinesch, B., Ryu, D., Schmidt, M., Vereecken, H., Western, A. & Hendricks-Franssen, H. -J. (2020). Improving the representation of cropland sites in the Community Land Model (CLM) version 5.0. Geoscientific Model Development, https://doi.org/10.5194/gmd-2020-241.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/258538
    DOI
    10.5194/gmd-2020-241
    Open Access URL
    https://gmd.copernicus.org/preprints/gmd-2020-241/
    Abstract
    The incorporation of a comprehensive crop module in land surface models offers the possibility to study the effect of agricultural land use and land management changes on the terrestrial water, energy and biogeochemical cycles. It may help to improve the simulation of biogeophysical and biogeochemical processes on regional and global scales in the framework of climate and land use change. In this study, the performance of the crop module of the Community Land Model version 5 (CLM5) was evaluated at point scale with site specific field data focussing on the simulation of seasonal and inter-annual variations in crop growth, planting and harvesting cycles, and crop yields as well as water, energy and carbon fluxes. In order to better represent agricultural sites, the model was modified by (1) implementing the winter wheat subroutines after Lu et al. (2017) in CLM5; (2) implementing plant specific parameters for sugar beet, potatoes and winter wheat, thereby adding these crop functional types (CFT) to the list of actively managed crops in CLM5; (3) introducing a cover cropping subroutine that allows multiple crop types on the same column within one year. The latter modification allows the simulation of cropping during winter months before usual cash crop planting begins in spring, which is a common agricultural management technique in humid and sub-humid regions. We compared simulation results with field data and found that both the parameterization of the CFTs, as well as the winter wheat subroutines, led to a significant simulation improvement in terms of energy fluxes, leaf area index (LAI), net ecosystem exchange (RMSE reduction for latent and sensible heat by up to 57 % and 59 % respectively) and crop yield (up to 87 % improvement in winter wheat yield prediction) compared with default model results. The cover cropping subroutine yielded a substantial improvement in representation of field conditions after harvest of the main cash crop (winter season) in terms of LAI curve and latent heat flux (reduction of winter time RMSE for latent heat flux by 42 %). We anticipate that our model modifications offer opportunities to improve yield predictions, to study the effects of large-scale cover cropping on energy fluxes, soil carbon and nitrogen pools, and soil water storage in future studies with CLM5.

    Export Reference in RIS Format     

    Endnote

    • Click on "Export Reference in RIS Format" and choose "open with... Endnote".

    Refworks

    • Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References


    Collections
    • Minerva Elements Records [45770]
    • Infrastructure Engineering - Research Publications [1241]
    Minerva AccessDepositing Your Work (for University of Melbourne Staff and Students)NewsFAQs

    BrowseCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
    My AccountLoginRegister
    StatisticsMost Popular ItemsStatistics by CountryMost Popular Authors