Articles | Volume 10, issue 8
https://doi.org/10.5194/gmd-10-3059-2017
© Author(s) 2017. 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-10-3059-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
17 Aug 2017
Model description paper |
| 17 Aug 2017
VIC–CropSyst-v2: A regional-scale modeling platform to simulate the nexus of climate, hydrology, cropping systems, and human decisions
Keyvan Malek
CORRESPONDING AUTHOR
Department of Biological Systems Engineering at Washington State University, Pullman, Washington, USA
currently at: Department of Civil and Environmental Engineering at Washington State University, Pullman, Washington, USA
Claudio Stöckle
Department of Biological Systems Engineering at Washington State University, Pullman, Washington, USA
Kiran Chinnayakanahalli
Air Worldwide Corp., Boston, Massachusetts, USA
Roger Nelson
Department of Biological Systems Engineering at Washington State University, Pullman, Washington, USA
Mingliang Liu
Department of Civil and Environmental Engineering at Washington State University, Pullman, Washington, USA
Kirti Rajagopalan
Center for Sustaining Agriculture and Natural Resources, Washington State University, Pullman, Washington, USA
Muhammad Barik
Department of Civil and Environmental Engineering at Washington State University, Pullman, Washington, USA
currently at: University of Alabama in Huntsville, NASA-SERVIR, Huntsville, AL, USA
Jennifer C. Adam
Department of Civil and Environmental Engineering at Washington State University, Pullman, Washington, USA
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Cited
32 citations as recorded by crossref.
- Water rights shape crop yield and revenue volatility tradeoffs for adaptation in snow dependent systems K. Malek et al. 10.1038/s41467-020-17219-z
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- Statistical Modeling to Predict Climate Change Effects on Watershed Scale Evapotranspiration R. Khanal et al. 10.3390/atmos12121565
- Impact of Agricultural Use of Sand Land on Water Yield Services under Different Development Intensities in the Agro-Pastoral Ecotone of Northern Shaanxi Y. Xiu et al. 10.1155/2022/1678442
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- A novel conceptual model coupling crop growth and soil water-heat-salt processes in arid area P. Wang et al. 10.1016/j.jhydrol.2024.132284
- AgAID Institute—AI for agricultural labor and decision support A. Fern et al. 10.1002/aaai.12156
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- Improved soil moisture estimation: Synergistic use of satellite observations and land surface models over CONUS based on machine learning J. Lee et al. 10.1016/j.jhydrol.2022.127749
- Can Managed Aquifer Recharge Overcome Multiple Droughts? M. Zhao et al. 10.3390/w13162278
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- Seasonal forecasts have sufficient skill to inform some agricultural decisions A. Kondal et al. 10.1088/1748-9326/ad8bde
- Index-based insurance and hydroclimatic risk management in agriculture: A systematic review of index selection and yield-index modelling methods M. Abdi et al. 10.1016/j.ijdrr.2021.102653
- A Societal Metabolism Approach to Effectively Analyze the Water–Energy–Food Nexus in an Agricultural Transboundary River Basin A. Taghdisian et al. 10.3390/su14159110
- Advances in regional-scale crop growth and associated process modeling W. Liu et al. 10.1007/s11430-024-1477-2
- Lessons Learned From Modeling Irrigation From Field to Regional Scales X. Xu et al. 10.1029/2018MS001595
- Climate change reduces water availability for agriculture by decreasing non-evaporative irrigation losses K. Malek et al. 10.1016/j.jhydrol.2017.11.046
- Watershed-scale modelling of the irrigated rice farming system at Muda, Malaysia, using the Soil Water Assessment Tool N. Raffar et al. 10.1080/02626667.2021.2022682
- Adaptation of water resources management under climate change M. Zhao & J. Boll 10.3389/frwa.2022.983228
- A review of coupled hydrologic and crop growth models S. Siad et al. 10.1016/j.agwat.2019.105746
- Uncertainty propagation in coupled hydrological models using winding stairs and null-space Monte Carlo methods E. Moges et al. 10.1016/j.jhydrol.2020.125341
- Downscaling global land-use/cover change scenarios for regional analysis of food, energy, and water subsystems M. Yourek et al. 10.3389/fenvs.2023.1055771
- When Should Irrigators Invest in More Water‐Efficient Technologies as an Adaptation to Climate Change? K. Malek et al. 10.1029/2018WR022767
- Hydrologic Sensitivity of a Critical Turkish Watershed to Inform Water Resource Management in an Altered Climate F. Cevahir et al. 10.3390/hydrology11050064
- Quantifying Streamflow Depletion from Groundwater Pumping: A Practical Review of Past and Emerging Approaches for Water Management S. Zipper et al. 10.1111/1752-1688.12998
- Diagnostic Framework for Evaluating How Parametric Uncertainty Influences Agro‐Hydrologic Model Projections of Crop Yields Under Climate Change T. Karimi et al. 10.1029/2021WR031249
- Northwest U.S. Agriculture in a Changing Climate: Collaboratively Defined Research and Extension Priorities G. Yorgey et al. 10.3389/fenvs.2017.00052
30 citations as recorded by crossref.
- Water rights shape crop yield and revenue volatility tradeoffs for adaptation in snow dependent systems K. Malek et al. 10.1038/s41467-020-17219-z
- Sensitivity of snow magnitude and duration to hydrology model parameters B. Singh et al. 10.1016/j.jhydrol.2024.132193
- A Review of Drought Disturbance on Socioeconomic Development X. Yang et al. 10.3390/w15223912
- Modelling spatio-temporal patterns of soil carbon and greenhouse gas emissions in grazing lands: Current status and prospects J. Wang et al. 10.1016/j.scitotenv.2020.139092
- Statistical Modeling to Predict Climate Change Effects on Watershed Scale Evapotranspiration R. Khanal et al. 10.3390/atmos12121565
- Impact of Agricultural Use of Sand Land on Water Yield Services under Different Development Intensities in the Agro-Pastoral Ecotone of Northern Shaanxi Y. Xiu et al. 10.1155/2022/1678442
- A monthly distributed water and salt balance model in irrigated and non-irrigated lands of arid irrigation district with shallow groundwater table Y. Wen et al. 10.1016/j.jhydrol.2022.128811
- A novel conceptual model coupling crop growth and soil water-heat-salt processes in arid area P. Wang et al. 10.1016/j.jhydrol.2024.132284
- AgAID Institute—AI for agricultural labor and decision support A. Fern et al. 10.1002/aaai.12156
- Water use dynamics of almond and pistachio crops in the Mediterranean region amid climate change A. Kandhway et al. 10.1016/j.agwat.2024.109219
- Representing Indian Agricultural Practices and Paddy Cultivation in the Variable Infiltration Capacity Model J. Joseph & S. Ghosh 10.1029/2022WR033612
- Exploring the Implications of Modeling Choices on Prediction of Irrigation Water Savings C. Eluwa et al. 10.1029/2021WR031618
- Impacts of irrigation efficiency on water-dependent sectors are heavily controlled by region-specific institutions and infrastructures K. Malek et al. 10.1016/j.jenvman.2021.113731
- Improved soil moisture estimation: Synergistic use of satellite observations and land surface models over CONUS based on machine learning J. Lee et al. 10.1016/j.jhydrol.2022.127749
- Can Managed Aquifer Recharge Overcome Multiple Droughts? M. Zhao et al. 10.3390/w13162278
- 区域尺度作物生长及伴生过程模型研究进展 文. 刘 et al. 10.1360/SSTe-2024-0018
- Seasonal forecasts have sufficient skill to inform some agricultural decisions A. Kondal et al. 10.1088/1748-9326/ad8bde
- Index-based insurance and hydroclimatic risk management in agriculture: A systematic review of index selection and yield-index modelling methods M. Abdi et al. 10.1016/j.ijdrr.2021.102653
- A Societal Metabolism Approach to Effectively Analyze the Water–Energy–Food Nexus in an Agricultural Transboundary River Basin A. Taghdisian et al. 10.3390/su14159110
- Advances in regional-scale crop growth and associated process modeling W. Liu et al. 10.1007/s11430-024-1477-2
- Lessons Learned From Modeling Irrigation From Field to Regional Scales X. Xu et al. 10.1029/2018MS001595
- Climate change reduces water availability for agriculture by decreasing non-evaporative irrigation losses K. Malek et al. 10.1016/j.jhydrol.2017.11.046
- Watershed-scale modelling of the irrigated rice farming system at Muda, Malaysia, using the Soil Water Assessment Tool N. Raffar et al. 10.1080/02626667.2021.2022682
- Adaptation of water resources management under climate change M. Zhao & J. Boll 10.3389/frwa.2022.983228
- A review of coupled hydrologic and crop growth models S. Siad et al. 10.1016/j.agwat.2019.105746
- Uncertainty propagation in coupled hydrological models using winding stairs and null-space Monte Carlo methods E. Moges et al. 10.1016/j.jhydrol.2020.125341
- Downscaling global land-use/cover change scenarios for regional analysis of food, energy, and water subsystems M. Yourek et al. 10.3389/fenvs.2023.1055771
- When Should Irrigators Invest in More Water‐Efficient Technologies as an Adaptation to Climate Change? K. Malek et al. 10.1029/2018WR022767
- Hydrologic Sensitivity of a Critical Turkish Watershed to Inform Water Resource Management in an Altered Climate F. Cevahir et al. 10.3390/hydrology11050064
- Quantifying Streamflow Depletion from Groundwater Pumping: A Practical Review of Past and Emerging Approaches for Water Management S. Zipper et al. 10.1111/1752-1688.12998
2 citations as recorded by crossref.
- Diagnostic Framework for Evaluating How Parametric Uncertainty Influences Agro‐Hydrologic Model Projections of Crop Yields Under Climate Change T. Karimi et al. 10.1029/2021WR031249
- Northwest U.S. Agriculture in a Changing Climate: Collaboratively Defined Research and Extension Priorities G. Yorgey et al. 10.3389/fenvs.2017.00052
Latest update: 30 Mar 2025
