Regionalization of the Hargreaves coefficient to estimate long-term reference evapotranspiration series in SE Spain

被引:28
作者
Maestre-Valero, J. F. [1 ]
Martinez-Alvarez, V. [1 ]
Gonzalez-Real, M. M. [1 ]
机构
[1] Univ Politecn Cartagena, Escuela Tecn Super Ingn Agron, Cartagena 30203, Murcia, Spain
关键词
monthly evapotranspiration; Hargreaves coefficient; regional function; climate change; semi-arid climate; EQUATIONS; CLIMATE; CALIBRATION;
D O I
10.5424/sjar/2013114-3869
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
This study employs a methodological approach for estimating long-term series of monthly reference evapotranspiration (ETo) from historical data. To carry it out a regionally calibrated version of the Hargreaves equation was applied at old ordinary weather stations which only provide data of air temperature and precipitation. The proposed approach was based on the analysis of: (1) the Hargreaves coefficient obtained by local calibration from data of 66 modern automatic weather stations; (2) the regional characterization of the spatial variability of that coefficient by means of a "regional function"; and (3) the final application of this function to the old ordinary weather stations. This approach was assessed under the semiarid conditions of the Segura River Basin (south-eastern Spain) by comparing ETo estimates against those obtained with the Penman-Monteith method, which was used as reference. Spatial variability of the Hargreaves coefficient was well correlated with the annual and monthly means of daily temperature range, so they were selected as explanatory variables for the regionalization of the Hargreaves coefficient following two approaches: a global regional function and monthly regional functions. The regionally calibrated version of the Hargreaves equation by monthly functions clearly improved the performance of its original parameterization (average relative error decreased from 19.8% to 10.1%) although, as expected, estimates were not as good as those obtained with the local calibration (average relative error = 7.7%).
引用
收藏
页码:1137 / 1152
页数:16
相关论文
共 50 条
[41]   Long-Term Analysis of Energy Consumption and Thermal Comfort in a Passivhaus Apartment in Spain [J].
Rodriguez-Vidal, Inigo ;
Hernandez-Minguillon, Rufino J. ;
Otaegi, Jorge .
BUILDINGS, 2024, 14 (04)
[42]   New long-term mass-balance series for the Swiss Alps [J].
Huss, Matthias ;
Dhulst, Laurie ;
Bauder, Andreas .
JOURNAL OF GLACIOLOGY, 2015, 61 (227) :551-562
[43]   The variability of long-term runoff series in the Baltic Sea drainage basin [J].
Gailiusis, Brunonas ;
Kriauciuniene, Jurate ;
Jakimavicius, Darius ;
Sarauskiene, Diana G. .
BALTICA, 2011, 24 (01) :45-54
[44]   Long-term series and trends in surface solar radiation in Athens, Greece [J].
Kazadzis, Stelios ;
Founda, Dimitra ;
Psiloglou, Basil E. ;
Kambezidis, Harry ;
Mihalopoulos, Nickolaos ;
Sanchez-Lorenzo, Arturo ;
Meleti, Charikleia ;
Raptis, Panagiotis I. ;
Pierros, Fragiskos ;
Nabat, Pierre .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2018, 18 (04) :2395-2411
[45]   French homogenized sunshine-duration long-term series. [J].
Moisselin, JM ;
Canellas, C .
COMPTES RENDUS GEOSCIENCE, 2005, 337 (08) :729-734
[46]   Modeling long-term dynamics of crop evapotranspiration using deep learning in a semi-arid environment [J].
Elbeltagi, Ahmed ;
Deng, Jinsong ;
Wang, Ke ;
Malik, Anurag ;
Maroufpoor, Saman .
AGRICULTURAL WATER MANAGEMENT, 2020, 241
[47]   Contrasting long-term temperature trends reveal minor changes in projected potential evapotranspiration in the US Midwest [J].
Basso, Bruno ;
Martinez-Feria, Rafael A. ;
Rill, Lydia ;
Ritchie, Joe T. .
NATURE COMMUNICATIONS, 2021, 12 (01)
[48]   Comparison of the effectiveness of four Budyko-based methods in attributing long-term changes in actual evapotranspiration [J].
Ning, Tingting ;
Li, Zhi ;
Feng, Qi ;
Liu, Wenzhao ;
Li, Zongxing .
SCIENTIFIC REPORTS, 2018, 8
[49]   Accelerating long-term building energy performance simulation with a reference day method [J].
Zou, Yukai ;
Chen, Zonghan ;
Lou, Siwei ;
Huang, Yu ;
Xia, Dawei ;
Cao, Yifan ;
Li, Haojie ;
Lun, Isaac Y. F. .
BUILDING SIMULATION, 2024, 17 (12) :2331-2353
[50]   Statistical approach to the analysis of olive long-term pollen season trends in southern Spain [J].
Garcia-Mozo, H. ;
Yaezel, L. ;
Oteros, J. ;
Galan, C. .
SCIENCE OF THE TOTAL ENVIRONMENT, 2014, 473 :103-109