Evaluation of applicability of three evapotranspiration models using meteorological data

被引:0
|
作者
Han, Song-Jun [1 ]
Hu, He-Ping [1 ]
Tian, Fu-Qiang [1 ]
机构
[1] Tsinghua University, Beijing 100084, China
来源
关键词
Meteorology;
D O I
暂无
中图分类号
学科分类号
摘要
The applicability of three models used to estimate the evapotranspiration based on general meteorological data is analyzed. The models include the advection-aridity (AA) model, Granger model and the improved Penman-Monteith model proposed by Katerji and Perrier, namely P-M-Katerji model. The dimensionless analysis method is applied, by which the ratio of actual evapotranspiration to Penman potential evapotranspiration is expressed as a function of the proportion of the radiation term in Penman potential evapotranspiration. The three models use different functions, and the applicability of each model is analyzed according to the characteristics of the functions respectively. It is found that the AA model is applicable to the environment which is neither extreme dry nor extreme wet, it underestimates the actual evapotranspiration under dry conditions but overestimates under wet conditions. The Granger model is applicable to the conditions with a wide range of evapotranspiration ratio, and it is approximately equivalent to the AA model under ordinary wet condition. The simulation result of the P-M-Katerji model is not very good if the variation range of evapotrnaspiration is wide. The validity of the analysis result is verified by a case study.
引用
收藏
页码:75 / 81
相关论文
共 50 条
  • [1] Evaluation of Evapotranspiration Models Using Different LAI and Meteorological Forcing Data from 1982 to 2017
    Chen, Huiling
    Zhu, Gaofeng
    Zhang, Kun
    Bi, Jian
    Jia, Xiaopeng
    Ding, Bingyue
    Zhang, Yang
    Shang, Shasha
    Zhao, Nan
    Qin, Wenhua
    REMOTE SENSING, 2020, 12 (15)
  • [2] Evaluation of Meteorological Data-Based Models for Potential and Actual Evapotranspiration Losses Using Flux Measurements
    Mobilia, Mirka
    Longobardi, Antonia
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2020, PT V, 2020, 12253 : 3 - 18
  • [3] Comparison of Wavelet Based Hybrid Models for Daily Evapotranspiration Estimation using Meteorological Data
    Partal, Turgay
    KSCE JOURNAL OF CIVIL ENGINEERING, 2016, 20 (05) : 2050 - 2058
  • [4] Comparison of wavelet based hybrid models for daily evapotranspiration estimation using meteorological data
    Turgay Partal
    KSCE Journal of Civil Engineering, 2016, 20 : 2050 - 2058
  • [5] EVALUATION OF 3 EVAPOTRANSPIRATION MODELS IN TERMS OF THEIR APPLICABILITY FOR AN ARID REGION
    LEMEUR, R
    ZHANG, L
    JOURNAL OF HYDROLOGY, 1990, 114 (3-4) : 395 - 411
  • [7] Performance of SAFER evapotranspiration using missing meteorological data
    Oliveira Santos, Jannaylton Everton
    da Cunha, Fernando Franca
    Filgueiras, Roberto
    da Silva, Gustavo Henrique
    de Castro Teixeira, Antonio Heriberto
    dos Santos Silva, Francisco Charles
    Sediyama, Gilberto Chohaku
    AGRICULTURAL WATER MANAGEMENT, 2020, 233
  • [8] Evaluation of two models using CERES data for reference evapotranspiration estimation
    Carmona, F.
    Holzman, M.
    Rivas, R.
    Degano, M. F.
    Kruse, E.
    Bayala, M.
    REVISTA DE TELEDETECCION, 2018, (51): : 87 - 98
  • [9] EVALUATION OF 3 EVAPOTRANSPIRATION MODELS IN TERMS OF THEIR APPLICABILITY FOR AN ARID REGION - COMMENT
    MORTON, FI
    JOURNAL OF HYDROLOGY, 1991, 128 (1-4) : 369 - 374
  • [10] Evaluation of Machine Learning Models for Daily Reference Evapotranspiration Modeling Using Limited Meteorological Data in Eastern Inner Mongolia, North China
    Zhang, Hao
    Meng, Fansheng
    Xu, Jia
    Liu, Zhandong
    Meng, Jun
    WATER, 2022, 14 (18)