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Simulation of evapotranspiration and yield of maize: An Inter-comparison among 41 maize models.
Agric. For. Meteorol. 333:109396 (2023)
Accurate simulation of crop water use (evapotranspiration, ET) can help crop growth models to assess the likely effects of climate change on future crop productivity, as well as being an aid for irrigation scheduling for today's growers. To determine how well maize (Zea mays L.) growth models can simulate ET, an initial inter-comparison study was conducted in 2019 under the umbrella of AgMIP (Agricultural Model Inter-Comparison and Improvement Project). Herein, we present results of a second inter-comparison study of 41 maize models that was conducted using more comprehensive datasets from two additional sites - Mead, Nebraska, USA and Bushland, Texas, USA. There were 20 treatment-years with varying irrigation levels over multiple seasons at both sites. ET was measured using eddy covariance at Mead and using large weighing lysimeters at Bushland. A wide range in ET rates was simulated among the models, yet several generally were able to simulate ET rates adequately. The ensemble median values were generally close to the observations, but a few of the models sometimes performed better than the median. Many of the models that did well at simulating ET for the Mead site did poorly for drier, windy days at the Bushland site, suggesting they need to improve how they handle humidity and wind. Additional variability came from the approaches used to simulate soil water evaporation. Fortunately, several models were identified that did well at simulating soil water evaporation, canopy transpiration, biomass accumulation, and grain yield. These models were older and have been widely used, which suggests that a larger number of users have tested these models over a wider range of conditions leading to their improvement. These revelations of the better approaches are leading to model improvements and more accurate simulations of ET.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Crop Models ; Evapotranspiration ; Maize ; Simulation ; Water Use ; Yield; Crop Models; Irrigated Maize; Bare Soil; Water; Evaporation; Uncertainty; Temperature; System; Energy; Corn
Language
english
Publication Year
2023
HGF-reported in Year
2023
ISSN (print) / ISBN
0168-1923
e-ISSN
1873-2240
Quellenangaben
Volume: 333,
Article Number: 109396
Publisher
Elsevier
Publishing Place
Amsterdam [u.a.]
Reviewing status
Peer reviewed
Institute(s)
Research Unit Environmental Simulation (EUS)
POF-Topic(s)
30202 - Environmental Health
Research field(s)
Environmental Sciences
PSP Element(s)
G-504912-001
Grants
Met Office Hadley centre Climate Programme - BEIS
OP RDE
National Multidisciplinary Laboratory for Climate Change
Cooperative State Research, Education, and Extension Service, US Department of Agriculture
DOE-EPSCoR
DOE-Office of Science (BER)
OP RDE
National Multidisciplinary Laboratory for Climate Change
Cooperative State Research, Education, and Extension Service, US Department of Agriculture
DOE-EPSCoR
DOE-Office of Science (BER)
WOS ID
000963302000001
Scopus ID
85149752687
Erfassungsdatum
2023-12-01