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Memory of irrigation effects on hydroclimate and its modeling challenge

Bibliographic Data

ID15544170
AuthorsFei Chen (0000-0002-4500-2590, NSF National Center for Atmospheric Research), Xiaoyu Xu (0000-0002-6898-6668, China Meteorological Administration, corresponding author), Michael Barlage (0000-0002-7322-6102, NSF National Center for Atmospheric Research), Roy Rasmussen (NSF National Center for Atmospheric Research), Shuanghe Shen (0000-0003-0906-7706, Nanjing University of Information Science and Technology), Shiguang Miao (0000-0003-2561-0238, China Meteorological Administration), Guangsheng Zhou (0000-0001-7851-3664, Chinese Academy of Meteorological Sciences)
Year2018
Volume13
Issue6
Pages064009-064009
Publication date2018-03-27
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/aab9df
OpenAlexW2795179194
LanguageEN
Citations received4
References cited17

Irrigation modifies land-surface water and energy budgets, and also influences weather and climate. However, current earth-system models, used for weather prediction and climate projection, are still in their infancy stage to consider irrigation effects. This study used long-term data collected from two contrasting (irrigated and rainfed) nearby maize-soybean rotation fields, to study the effects of irrigation memory on local hydroclimate. For a 12 year average, irrigation decreases summer surface-air temperature by less than 1 C and increases surface humidity by 0.52 g kg -1 . The irrigation cooling effect is more pronounced and longer lasting for maize than for soybean. Irrigation reduces maximum, minimum, and averaged temperature over maize by more than 0.5 C for the first six days after irrigation, but its temperature effect over soybean is mixed and negligible two or three days after irrigation. Irrigation increases near-surface humidity over maize by about 1 g kg -1 up to ten days and increases surface humidity over soybean ( 0.8 g kg -1 ) with a similar memory. These differing effects of irrigation memory on temperature and humidity are associated with respective changes in the surface sensible and latent heat fluxes for maize and soybean. These findings highlight great need and challenges for earth-system models to realistically simulate how irrigation effects vary with crop species and with crop growth stages, and to capture complex interactions between agricultural management and water-system components (crop transpiration, precipitation, river, reservoirs, lakes, groundwater, etc.) at various spatial and temporal scales

Agronomy · Atmospheric sciences · Biology · Geography · Humidity · Hydrology (agriculture · Irrigation · Latent heat · Meteorology · Photosynthesis · Precipitation · Sensible heat · Surface irrigation · Transpiration · Chemistry · Climate change impacts on agriculture · Climate variability and models · Environmental Science · Plant Water Relations and Carbon Dynamics · Geology

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    Open Access•José A Albaladejo-García, F Alcon et al.•Revista de geografía Norte Grande•2021

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Unique citing works4
Citations per year0,8
Citation span2021 - 2024 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4

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