Calibration and validation of SiBcrop Model for simulating LAI and surface heat fluxes of winter wheat in the North China Plain

The accurate representation of surface characteristic is an important process to simulate surface energy and water flux in land-atmosphere boundary layer. Coupling crop growth model in land surface model is an important method to accurately express the surface characteristics and biophysical process...

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Main Authors: Ying CHEN, Feng-shan LIU, Fu-lu TAO, Quan-sheng GE, Min JIANG, Meng WANG, Feng-hua ZHAO
Format: Article
Language:English
Published: Elsevier 2020-09-01
Series:Journal of Integrative Agriculture
Subjects:
LAI
Online Access:http://www.sciencedirect.com/science/article/pii/S2095311920631781
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spelling doaj-b926a4a98f374c4cbbb198a0c4b861592021-06-08T04:42:25ZengElsevierJournal of Integrative Agriculture2095-31192020-09-0119922062215Calibration and validation of SiBcrop Model for simulating LAI and surface heat fluxes of winter wheat in the North China PlainYing CHEN0Feng-shan LIU1Fu-lu TAO2Quan-sheng GE3Min JIANG4Meng WANG5Feng-hua ZHAO6Forestry College, Fujian Agriculture and Forestry University, Fuzhou 350002, P.R.ChinaChina National Engineering Research Center of JUNCAO Technology, Fujian Agriculture and Forestry University, Fuzhou 3450002, P.R.China; Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, P.R.China; Correspondence LIU Feng-shanKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, P.R.China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, P.R.ChinaKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, P.R.China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, P.R.ChinaCollege of Crop Science, Fujian Agriculture and Forestry University, Fuzhou 350002, P.R.ChinaSchool of Geography and Tourism, Qufu Normal University, Rizhao 276800, P.R.ChinaKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, P.R.ChinaThe accurate representation of surface characteristic is an important process to simulate surface energy and water flux in land-atmosphere boundary layer. Coupling crop growth model in land surface model is an important method to accurately express the surface characteristics and biophysical processes in farmland. However, the previous work mainly focused on crops in single cropping system, less work was done in multiple cropping systems. This article described how to modify the sub-model in the SiBcrop to realize the accuracy simulation of leaf area index (LAI), latent heat flux (LHF) and sensible heat flux (SHF) of winter wheat growing in double cropping system in the North China Plain (NCP). The seeding date of winter wheat was firstly reset according to the actual growing environment in the NCP. The phenophases, LAI and heat fluxes in 2004–2006 at Yucheng Station, Shandong Province, China were used to calibrate the model. The validations of LHF and SHF were based on the measurements at Yucheng Station in 2007–2010 and at Guantao Station, Hebei Province, China in 2009–2010. The results showed the significant accuracy of the calibrated model in simulating these variables, with which the R2, root mean square error (RMSE) and index of agreement (IOA) between simulated and observed variables were obviously improved than the original code. The sensitivities of the above variables to seeding date were also displayed to further explain the simulation error of the SiBcrop Model. Overall, the research results indicated the modified SiBcrop Model can be applied to simulate the growth and flux process of winter wheat growing in double cropping system in the NCP.http://www.sciencedirect.com/science/article/pii/S2095311920631781winter wheatLAIcrop growth modelSiBcropNorth China Plainlatent heat flux
collection DOAJ
language English
format Article
sources DOAJ
author Ying CHEN
Feng-shan LIU
Fu-lu TAO
Quan-sheng GE
Min JIANG
Meng WANG
Feng-hua ZHAO
spellingShingle Ying CHEN
Feng-shan LIU
Fu-lu TAO
Quan-sheng GE
Min JIANG
Meng WANG
Feng-hua ZHAO
Calibration and validation of SiBcrop Model for simulating LAI and surface heat fluxes of winter wheat in the North China Plain
Journal of Integrative Agriculture
winter wheat
LAI
crop growth model
SiBcrop
North China Plain
latent heat flux
author_facet Ying CHEN
Feng-shan LIU
Fu-lu TAO
Quan-sheng GE
Min JIANG
Meng WANG
Feng-hua ZHAO
author_sort Ying CHEN
title Calibration and validation of SiBcrop Model for simulating LAI and surface heat fluxes of winter wheat in the North China Plain
title_short Calibration and validation of SiBcrop Model for simulating LAI and surface heat fluxes of winter wheat in the North China Plain
title_full Calibration and validation of SiBcrop Model for simulating LAI and surface heat fluxes of winter wheat in the North China Plain
title_fullStr Calibration and validation of SiBcrop Model for simulating LAI and surface heat fluxes of winter wheat in the North China Plain
title_full_unstemmed Calibration and validation of SiBcrop Model for simulating LAI and surface heat fluxes of winter wheat in the North China Plain
title_sort calibration and validation of sibcrop model for simulating lai and surface heat fluxes of winter wheat in the north china plain
publisher Elsevier
series Journal of Integrative Agriculture
issn 2095-3119
publishDate 2020-09-01
description The accurate representation of surface characteristic is an important process to simulate surface energy and water flux in land-atmosphere boundary layer. Coupling crop growth model in land surface model is an important method to accurately express the surface characteristics and biophysical processes in farmland. However, the previous work mainly focused on crops in single cropping system, less work was done in multiple cropping systems. This article described how to modify the sub-model in the SiBcrop to realize the accuracy simulation of leaf area index (LAI), latent heat flux (LHF) and sensible heat flux (SHF) of winter wheat growing in double cropping system in the North China Plain (NCP). The seeding date of winter wheat was firstly reset according to the actual growing environment in the NCP. The phenophases, LAI and heat fluxes in 2004–2006 at Yucheng Station, Shandong Province, China were used to calibrate the model. The validations of LHF and SHF were based on the measurements at Yucheng Station in 2007–2010 and at Guantao Station, Hebei Province, China in 2009–2010. The results showed the significant accuracy of the calibrated model in simulating these variables, with which the R2, root mean square error (RMSE) and index of agreement (IOA) between simulated and observed variables were obviously improved than the original code. The sensitivities of the above variables to seeding date were also displayed to further explain the simulation error of the SiBcrop Model. Overall, the research results indicated the modified SiBcrop Model can be applied to simulate the growth and flux process of winter wheat growing in double cropping system in the NCP.
topic winter wheat
LAI
crop growth model
SiBcrop
North China Plain
latent heat flux
url http://www.sciencedirect.com/science/article/pii/S2095311920631781
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