Articles | Volume 14, issue 1
Geosci. Model Dev., 14, 437–471, 2021
https://doi.org/10.5194/gmd-14-437-2021

Special issue: JULES-crop: a parameterisation of crops in the JULES land...

Special issue: Joint UK Land Environment Simulator (JULES) – configurations,...

Geosci. Model Dev., 14, 437–471, 2021
https://doi.org/10.5194/gmd-14-437-2021

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 et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Camilla Mathison on behalf of the Authors (08 Oct 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (21 Oct 2019) by Wolfgang Kurtz
RR by Anonymous Referee #3 (16 Nov 2019)
RR by Anonymous Referee #1 (19 Nov 2019)
RR by Anonymous Referee #2 (25 Nov 2019)
ED: Reconsider after major revisions (02 Dec 2019) by Wolfgang Kurtz
AR by Camilla Mathison on behalf of the Authors (12 Jun 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (04 Jul 2020) by Wolfgang Kurtz
RR by Katharina Waha (06 Aug 2020)
RR by Anonymous Referee #3 (09 Aug 2020)
ED: Reconsider after major revisions (27 Aug 2020) by Wolfgang Kurtz
AR by Camilla Mathison on behalf of the Authors (06 Oct 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (22 Oct 2020) by Wolfgang Kurtz
ED: Publish as is (04 Dec 2020) by Wolfgang Kurtz
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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.