Implementation and Evaluation of Irrigation Techniques in the Community Land Model Article Swipe
Yi Yao
,
Inne Vanderkelen
,
Danica Lombardozzi
,
Sean Swenson
,
David M. Lawrence
,
Jonas Jägermeyr
,
Luke Grant
,
Wim Thiery
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1029/2022ms003074
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1029/2022ms003074
Several previous studies have highlighted the irrigation‐induced impacts on the global and regional water cycle, energy budget, and near‐surface climate. While land models are widely used to address this question, the implementations of irrigation in these models vary in complexity. Here, we expand the representation of irrigation in Community Land Model to enable six different irrigation methods. We find that using a combination of irrigation methods, including default, sprinkler, flood and paddy techniques performs best as determined by evaluating the simulated irrigation water withdrawals against observations, and therefore select this combination as the new irrigation scheme. Then, the impact of the new irrigation scheme on surface fluxes is evaluated and detected using single‐point simulations. Finally, the global and regional irrigation‐induced impacts on surface energy and water fluxes are compared using both the original and the new irrigation scheme. The new irrigation scheme substantially reduces the bias and root‐mean‐square error of simulated irrigation water withdrawal in the USA and other countries, but considerably overestimates withdrawals in Central China. Results of single‐point experiments show that different irrigation methods have different effects on surface fluxes, while the magnitudes are small. At the global scale, the new scheme enlarges the irrigation‐induced impacts on water and energy variables relative to the original scheme, with varying magnitudes across regions. Overall, our results suggest that this newly developed scheme is a better tool for simulating irrigation‐induced impacts on climate, and highlight the added value of incorporating human water management in Earth system models.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1029/2022ms003074
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2022MS003074
- OA Status
- gold
- Cited By
- 35
- References
- 55
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4308147538
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4308147538Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1029/2022ms003074Digital Object Identifier
- Title
-
Implementation and Evaluation of Irrigation Techniques in the Community Land ModelWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2022Year of publication
- Publication date
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2022-11-02Full publication date if available
- Authors
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Yi Yao, Inne Vanderkelen, Danica Lombardozzi, Sean Swenson, David M. Lawrence, Jonas Jägermeyr, Luke Grant, Wim ThieryList of authors in order
- Landing page
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https://doi.org/10.1029/2022ms003074Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2022MS003074Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2022MS003074Direct OA link when available
- Concepts
-
Irrigation, Environmental science, Surface irrigation, Hydrology (agriculture), Irrigation statistics, Irrigation management, Deficit irrigation, Water resource management, Irrigation district, Agricultural engineering, Computer science, Geology, Engineering, Biology, Geotechnical engineering, EcologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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35Total citation count in OpenAlex
- Citations by year (recent)
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2025: 11, 2024: 13, 2023: 11Per-year citation counts (last 5 years)
- References (count)
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55Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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