气候变化领域集成服务门户(CCPortal): Lessons Learned From Modeling Irrigation From Field to Regional Scales

CCPortal

DOI	10.1029/2018MS001595
	Lessons Learned From Modeling Irrigation From Field to Regional Scales
	Xu X.; Chen F.; Barlage M.; Gochis D.; Miao S.; Shen S.
发表日期	2019
ISSN	19422466
起始页码	2428
结束页码	2448
卷号	11 期号:8
英文摘要	Correctly calculating the timing and amount of crop irrigation is crucial for capturing irrigation effects on surface water and energy budgets and land-atmosphere interactions. This study incorporated a dynamic irrigation scheme into the Noah with multiparameterization land surface model and investigated three methods of determining crop growing season length by agriculture management data. The irrigation scheme was assessed at field scales using observations from two contrasting (irrigated and rainfed) AmeriFlux sites near Mead, Nebraska. Results show that crop-specific growing-season length helped capture the first application timing and total irrigation amount, especially for soybeans. With a calibrated soil-moisture triggering threshold (IRR_CRI), using planting and harvesting dates alone could reasonably predict the first application for maize. For soybeans, additional constraints on growing season were required to correct an early bias in the first modeled application. Realistic leaf area index input was essential for identifying the leaf area index-based growing season. When transitioning from field to regional scales, the county-level calibrated IRR_CRI helped mitigate overestimated (underestimated) total irrigation amount in southeastern Nebraska (lower Mississippi River Basin). In these two heavily irrigated regions, irrigation produced a cooling effect of 0.8–1.4 K, a moistening effect of 1.2–2.4 g/kg, a reduction in sensible heat flux by 60–105 W/m2, and an increase in latent heat flux by 75–120 W/m2. Most of irrigation water was used to increase soil moisture and evaporation, rather than runoff. Lacking regional-scale irrigation timing and crop-specific parameters makes transferring the evaluation and parameter-constraint methods from field to regional scales difficult. ©2019. The Authors.
英文关键词	crop-specific; from field to regional scales; growth-season length; irrigation modeling; timing and amount
语种	英语
scopus关键词	Budget control; Crops; Cultivation; Forestry; Heat flux; Plants (botany); Soil moisture; Surface waters; Agriculture management; Growing season lengths; Growth season; Land atmosphere interaction; Mississippi River Basin; Parameter constraints; Regional scale; timing and amount; Irrigation; air-snow interaction; air-soil interaction; cooling; crop plant; growing season; land surface; latent heat flux; leaf area index; modeling; sensible heat flux; soil moisture; soybean; Mississippi River; Nebraska; United States; Glycine max; Zea mays
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156884
作者单位	Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China; Institute of Urban Meteorology, China Meteorological Administration, Beijing, China; National Center for Atmospheric Research, Boulder, CO, United States
推荐引用方式 GB/T 7714	Xu X.,Chen F.,Barlage M.,et al. Lessons Learned From Modeling Irrigation From Field to Regional Scales[J],2019,11(8).
APA	Xu X.,Chen F.,Barlage M.,Gochis D.,Miao S.,&Shen S..(2019).Lessons Learned From Modeling Irrigation From Field to Regional Scales.Journal of Advances in Modeling Earth Systems,11(8).
MLA	Xu X.,et al."Lessons Learned From Modeling Irrigation From Field to Regional Scales".Journal of Advances in Modeling Earth Systems 11.8(2019).