Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 1
Articles | Volume 14, issue 1
https://doi.org/10.5194/gmd-14-437-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-14-437-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 1
Development and technical paper
 | 
25 Jan 2021
Development and technical paper |  | 25 Jan 2021

Implementation of sequential cropping into JULESvn5.2 land-surface model

Camilla Mathison, Andrew J. Challinor, Chetan Deva, Pete Falloon, Sébastien Garrigues, Sophie Moulin, Karina Williams, and Andy Wiltshire

Viewed

Total article views: 2,800 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,931 759 110 2,800 100 100
  • HTML: 1,931
  • PDF: 759
  • XML: 110
  • Total: 2,800
  • BibTeX: 100
  • EndNote: 100
Views and downloads (calculated since 25 Apr 2019)
Cumulative views and downloads (calculated since 25 Apr 2019)

Viewed (geographical distribution)

Total article views: 2,800 (including HTML, PDF, and XML) Thereof 2,580 with geography defined and 220 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
Sequential cropping (also known as multiple or double cropping) is a common cropping system, particularly in tropical regions. Typically, land surface models only simulate a single crop per year. To understand how sequential crops influence surface fluxes, we implement sequential cropping in JULES to simulate all the crops grown within a year at a given location in a seamless way. We demonstrate the method using a site in Avignon, four locations in India and a regional run for two Indian states.
Read more
Special issue