干旱区生态环境知识资源中心(Arid): Spatio-temporal calibration of Hargreaves-Samani model to estimate reference evapotranspiration across US High Plains

Arid

DOI	10.1002/agj2.20325
	Spatio-temporal calibration of Hargreaves-Samani model to estimate reference evapotranspiration across US High Plains
	Kukal, M. S.; Irmak, S.; Walia, H.; Odhiambo, L.
通讯作者	Irmak, S (corresponding author), Univ Nebraska, 239 LW Chase Hall, Lincoln, NE 68583 USA.
来源期刊	AGRONOMY JOURNAL
ISSN	0002-1962
EISSN	1435-0645
出版年	2020
卷号	112 期号:5 页码:4232-4248
英文摘要	Temperature-based grass-reference evapotranspiration (ETo) estimation methods (e.g., Hargreaves-Samani [HS] model) present advantages over combination-based methods that require full-suite weather data. The U.S. High Plains region has scarce and short-term full-suite weather sites. This data scarcity presents challenges for combination-based ETo estimation. The performance of HS model against the American Society of Civil Engineers (ASCE) standardized Penman-Monteith (PM) model was assessed using long-term data at 124 full-suite weather sites across nine states in the U.S. High Plains. The HS model underestimated ETo at arid (mean bias error [MBE] = -1.68 mm d(-1)), semi-arid (MBE = -0.34 mm d(-1)), and dry subhumid sites (MBE = -0.16 mm d(-1)) and overestimated ETo at humid sites (MBE = 0.14 mm d(-1)). There was a significant relationship (p < .01) between HS model performance and aridity index. The HS model performed better (27% lower root mean squared difference [RMSD]) in summer months than the rest of the year at semi-arid and dry subhumid sites. The model performance was non-ideal during the summer months in subhumid climates. Spatio-temporal annual zonal (climate division), monthly zonal, annual site-specific, and monthly site-specific calibration resulted in 12, 16, 20, and 26% reduction in RMSD and 11, 16, 17, and 23% reduction in relative error, respectively. Monthly site-specific calibration performed the best and was used to quantify annual and growing season ETo across the region. The research characterized performance patterns of the HS model over an important agroecosystem-dominated region. Practical data-driven strategies were proposed to better estimate PM ETo using limited weather data at any given site (with similar aridity) and time of the year.
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000600983000082
WOS关键词	GRASS-REFERENCE EVAPOTRANSPIRATION ; DAILY TEMPERATURE-RANGE ; LIMITED WEATHER DATA ; LONG-TERM PATTERNS ; GREAT-PLAINS ; POTENTIAL EVAPOTRANSPIRATION ; AIR TEMPERATURES ; ARIDITY INDEX ; EQUATION ; PRECIPITATION
WOS类目	Agronomy
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/369155
作者单位	[Kukal, M. S.; Irmak, S.; Walia, H.; Odhiambo, L.] Univ Nebraska, 239 LW Chase Hall, Lincoln, NE 68583 USA
推荐引用方式 GB/T 7714	Kukal, M. S.,Irmak, S.,Walia, H.,et al. Spatio-temporal calibration of Hargreaves-Samani model to estimate reference evapotranspiration across US High Plains[J],2020,112(5):4232-4248.
APA	Kukal, M. S.,Irmak, S.,Walia, H.,&Odhiambo, L..(2020).Spatio-temporal calibration of Hargreaves-Samani model to estimate reference evapotranspiration across US High Plains.AGRONOMY JOURNAL,112(5),4232-4248.
MLA	Kukal, M. S.,et al."Spatio-temporal calibration of Hargreaves-Samani model to estimate reference evapotranspiration across US High Plains".AGRONOMY JOURNAL 112.5(2020):4232-4248.