Articles | Volume 9, issue 11
https://doi.org/10.5194/gmd-9-4133-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-4133-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
21 Nov 2016
Model description paper |
| 21 Nov 2016
A land surface model combined with a crop growth model for paddy rice (MATCRO-Rice v. 1) – Part 1: Model description
Yuji Masutomi
CORRESPONDING AUTHOR
College of Agriculture, Ibaraki University, 3-21-1, Chuo, Ami, Inashiki, Ibaraki 300-0393, Japan
Keisuke Ono
Institute for Agro-Environmental Sciences, NARO, 3-1-3, Kannondai, Tsukuba, Ibaraki 305-8604, Japan
Masayoshi Mano
Graduate School of Horticulture, Chiba University, 648 Matsudo, Matsudo-shi, Chiba 271-8510, Japan
Atsushi Maruyama
Institute for Agro-Environmental Sciences, NARO, 3-1-3, Kannondai, Tsukuba, Ibaraki 305-8604, Japan
Akira Miyata
Institute for Agro-Environmental Sciences, NARO, 3-1-3, Kannondai, Tsukuba, Ibaraki 305-8604, Japan
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Cited
18 citations as recorded by crossref.
- A land surface model combined with a crop growth model for paddy rice (MATCRO-Rice v. 1) – Part 2: Model validation Y. Masutomi et al. 10.5194/gmd-9-4155-2016
- The appropriate analytical solution for coupled leaf photosynthesis and stomatal conductance models for C3 plants Y. Masutomi 10.1016/j.ecolmodel.2023.110306
- Heat-Mitigation Effects of Irrigated Rice-Paddy Fields Under Changing Atmospheric Carbon Dioxide Based on a Coupled Atmosphere and Crop Energy-Balance Model H. Ikawa et al. 10.1007/s10546-021-00604-6
- Emerging research topics in agricultural meteorology and assessment of climate change adaptation T. IIZUMI et al. 10.2480/agrmet.D-17-00021
- Increasing canopy photosynthesis in rice can be achieved without a large increase in water use—A model based on free‐air CO2 enrichment H. Ikawa et al. 10.1111/gcb.13981
- BESS-Rice: A remote sensing derived and biophysical process-based rice productivity simulation model Y. Huang et al. 10.1016/j.agrformet.2018.03.014
- Improvements in the Land and Crop Modeling Over Flooded Rice Fields by Incorporating the Shallow Paddy Water X. Xu et al. 10.1029/2022MS003248
- Mapping Decision Support Tools (DSTs) on agricultural water productivity: A global systematic scoping review T. Mabhaudhi et al. 10.1016/j.agwat.2023.108590
- A development of reduction scenarios of the short-lived climate pollutants (SLCPs) for mitigating global warming and environmental problems T. Nakajima et al. 10.1186/s40645-020-00351-1
- Warming of hot extremes alleviated by expanding irrigation W. Thiery et al. 10.1038/s41467-019-14075-4
- Sink-source unbalance leads to abnormal partitioning of biomass and nitrogen in rice under extreme heat stress: An experimental and modeling study T. Sun et al. 10.1016/j.eja.2022.126678
- Ozone changes the linear relationship between photosynthesis and stomatal conductance and decreases water use efficiency in rice Y. Masutomi et al. 10.1016/j.scitotenv.2018.11.132
- Causes of variation among rice models in yield response to CO2 examined with Free-Air CO2 Enrichment and growth chamber experiments T. Hasegawa et al. 10.1038/s41598-017-13582-y
- Aligning the harvesting year in global gridded crop model simulations with that in census reports is pivotal to national-level model performance evaluations for rice T. Iizumi et al. 10.1016/j.eja.2021.126367
- Improving the predictions of leaf photosynthesis during and after short‐term heat stress with current rice models T. Sun et al. 10.1111/pce.14683
- Representing Indian Agricultural Practices and Paddy Cultivation in the Variable Infiltration Capacity Model J. Joseph & S. Ghosh 10.1029/2022WR033612
- Quantifying key model parameters for wheat leaf gas exchange under different environmental conditions F. ZHAO et al. 10.1016/S2095-3119(19)62796-6
- Impact assessment of climate change on the major rice cultivar Ciherang in Indonesia Y. KINOSE et al. 10.2480/agrmet.D-19-00045
18 citations as recorded by crossref.
- A land surface model combined with a crop growth model for paddy rice (MATCRO-Rice v. 1) – Part 2: Model validation Y. Masutomi et al. 10.5194/gmd-9-4155-2016
- The appropriate analytical solution for coupled leaf photosynthesis and stomatal conductance models for C3 plants Y. Masutomi 10.1016/j.ecolmodel.2023.110306
- Heat-Mitigation Effects of Irrigated Rice-Paddy Fields Under Changing Atmospheric Carbon Dioxide Based on a Coupled Atmosphere and Crop Energy-Balance Model H. Ikawa et al. 10.1007/s10546-021-00604-6
- Emerging research topics in agricultural meteorology and assessment of climate change adaptation T. IIZUMI et al. 10.2480/agrmet.D-17-00021
- Increasing canopy photosynthesis in rice can be achieved without a large increase in water use—A model based on free‐air CO2 enrichment H. Ikawa et al. 10.1111/gcb.13981
- BESS-Rice: A remote sensing derived and biophysical process-based rice productivity simulation model Y. Huang et al. 10.1016/j.agrformet.2018.03.014
- Improvements in the Land and Crop Modeling Over Flooded Rice Fields by Incorporating the Shallow Paddy Water X. Xu et al. 10.1029/2022MS003248
- Mapping Decision Support Tools (DSTs) on agricultural water productivity: A global systematic scoping review T. Mabhaudhi et al. 10.1016/j.agwat.2023.108590
- A development of reduction scenarios of the short-lived climate pollutants (SLCPs) for mitigating global warming and environmental problems T. Nakajima et al. 10.1186/s40645-020-00351-1
- Warming of hot extremes alleviated by expanding irrigation W. Thiery et al. 10.1038/s41467-019-14075-4
- Sink-source unbalance leads to abnormal partitioning of biomass and nitrogen in rice under extreme heat stress: An experimental and modeling study T. Sun et al. 10.1016/j.eja.2022.126678
- Ozone changes the linear relationship between photosynthesis and stomatal conductance and decreases water use efficiency in rice Y. Masutomi et al. 10.1016/j.scitotenv.2018.11.132
- Causes of variation among rice models in yield response to CO2 examined with Free-Air CO2 Enrichment and growth chamber experiments T. Hasegawa et al. 10.1038/s41598-017-13582-y
- Aligning the harvesting year in global gridded crop model simulations with that in census reports is pivotal to national-level model performance evaluations for rice T. Iizumi et al. 10.1016/j.eja.2021.126367
- Improving the predictions of leaf photosynthesis during and after short‐term heat stress with current rice models T. Sun et al. 10.1111/pce.14683
- Representing Indian Agricultural Practices and Paddy Cultivation in the Variable Infiltration Capacity Model J. Joseph & S. Ghosh 10.1029/2022WR033612
- Quantifying key model parameters for wheat leaf gas exchange under different environmental conditions F. ZHAO et al. 10.1016/S2095-3119(19)62796-6
- Impact assessment of climate change on the major rice cultivar Ciherang in Indonesia Y. KINOSE et al. 10.2480/agrmet.D-19-00045
Saved (preprint)
Latest update: 19 Apr 2024
Short summary
Crop growth and agricultural management can affect climate at various spatial and temporal scales through the exchange of heat, water, and gases between land and atmosphere. Therefore, simulation of fluxes for heat, water, and gases from agricultural land is important for climate simulations. We developed a new land surface model combined with a crop growth model, called MATCRO-Rice. The main objective of this paper is to present the full description of MATCRO-Rice.
Crop growth and agricultural management can affect climate at various spatial and temporal...
