Evaluation of pan coefficient for estimating reference crop evapotranspiration in Solapur station, Maharashtra

MAUSAM ◽

10.54302/mausam.v66i2.387 ◽

2021 ◽

Vol 66 (2) ◽

pp. 205-210

Author(s):

D.T. MESHRAM ◽

S.D. GORANTIWAR

Keyword(s):

Crop Evapotranspiration ◽

Reference Crop Evapotranspiration ◽

Pan Coefficient ◽

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Evaluation of pan coefficient for reference crop evapotranspiration for semi-arid region

Irrigation Science ◽

10.1007/s00271-007-0083-y ◽

2007 ◽

Vol 26 (2) ◽

pp. 169-175 ◽

Author(s):

H. G. Gundekar ◽

U. M. Khodke ◽

S. Sarkar ◽

R. K. Rai

Keyword(s):

Arid Region ◽

Crop Evapotranspiration ◽

Reference Crop Evapotranspiration ◽

Pan Coefficient ◽

Semi Arid Region ◽

Reference Crop ◽

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Evaluation of Class A Pan Coefficient Models for Estimation of Reference Crop Evapotranspiration in Cold Semi-Arid and Warm Arid Climates

Water Resources Management ◽

10.1007/s11269-009-9478-2 ◽

2009 ◽

Vol 24 (5) ◽

pp. 909-920 ◽

Author(s):

Ali-Akbar Sabziparvar ◽

H. Tabari ◽

A. Aeini ◽

M. Ghafouri

Keyword(s):

Crop Evapotranspiration ◽

Reference Crop Evapotranspiration ◽

Class A ◽

Pan Coefficient ◽

Reference Crop ◽

Semi Arid ◽

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Evaluation of pan coefficient equations for estimating reference crop evapotranspiration in the arid region

Archives of Agronomy and Soil Science ◽

10.1080/03650340.2013.830286 ◽

2013 ◽

Vol 60 (5) ◽

pp. 715-731 ◽

Author(s):

Mohammad Mehdi Heydari ◽

Morteza Heydari

Keyword(s):

Arid Region ◽

Crop Evapotranspiration ◽

Reference Crop Evapotranspiration ◽

Pan Coefficient ◽

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Sensitivity of penman-monteith reference crop evapotranspiration in Tao’er River Basin of northeastern China

Chinese Geographical Science ◽

10.1007/s11769-008-0340-x ◽

2008 ◽

Vol 18 (4) ◽

pp. 340-347 ◽

Author(s):

Liqiao Liang ◽

Lijuan Li ◽

Li Zhang ◽

Jiuyi Li ◽

Bin Li

Keyword(s):

River Basin ◽

Northeastern China ◽

Crop Evapotranspiration ◽

Reference Crop Evapotranspiration ◽

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ANN-based mapping of monthly reference crop evapotranspiration by using altitude, latitude and longitude data in Fars province, Iran

Environment Development and Sustainability ◽

10.1007/s10668-013-9465-x ◽

2013 ◽

Vol 16 (1) ◽

pp. 103-122 ◽

Author(s):

Saeedeh Shirin Manesh ◽

Hossein Ahani ◽

Mehdi Rezaeian-Zadeh

Keyword(s):

Fars Province ◽

Crop Evapotranspiration ◽

Reference Crop Evapotranspiration ◽

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Sensitivity study of reference crop evapotranspiration during growing season in the West Liao River basin, China

Theoretical and Applied Climatology ◽

10.1007/s00704-015-1453-7 ◽

2015 ◽

Vol 124 (3-4) ◽

pp. 865-881 ◽

Author(s):

Zhendong Gao ◽

Junshi He ◽

Kebao Dong ◽

Xiaodong Bian ◽

Xiang Li

Keyword(s):

River Basin ◽

Growing Season ◽

Sensitivity Study ◽

Crop Evapotranspiration ◽

The West ◽

Reference Crop Evapotranspiration ◽

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Ensemble forecasting of monthly and seasonal reference crop evapotranspiration based on global climate model outputs

Agricultural and Forest Meteorology ◽

10.1016/j.agrformet.2018.10.001 ◽

2019 ◽

Vol 264 ◽

pp. 114-124 ◽

Author(s):

Tongtiegang Zhao ◽

Quan J. Wang ◽

Andrew Schepen ◽

Morwenna Griffiths

Keyword(s):

Climate Model ◽

Global Climate ◽

Global Climate Model ◽

Ensemble Forecasting ◽

Crop Evapotranspiration ◽

Reference Crop Evapotranspiration ◽

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Application of artificial neural network for reference crop evapotranspiration estimation

Environmental Hydraulics and Sustainable Water Management, Two Volume Set ◽

10.1201/b16814-327 ◽

2004 ◽

pp. 2011-2016

Author(s):

V Jothiprakash ◽

M Devamane

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Crop Evapotranspiration ◽

Reference Crop Evapotranspiration ◽

Artificial Neural ◽

Evapotranspiration Estimation ◽

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Sensitivity Analysis of the Penman-Monteith reference Crop Evapotranspiration to Climatic Variables in Iran

Water Resources Management ◽

10.1007/s11269-014-0813-x ◽

2014 ◽

Vol 28 (15) ◽

pp. 5465-5476 ◽

Author(s):

Alireza Sharifi ◽

Yagob Dinpashoh

Keyword(s):

Sensitivity Analysis ◽

Climatic Variables ◽

Crop Evapotranspiration ◽

Reference Crop Evapotranspiration ◽

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Optimization of extreme learning machine model with biological heuristic algorithms to estimate daily reference crop evapotranspiration in different climatic regions of China

Journal of Hydrology ◽

10.1016/j.jhydrol.2021.127028 ◽

2021 ◽

pp. 127028

Author(s):

Zongjun Wu ◽

Ningbo Cui ◽

Xiaotao Hu ◽

Daozhi Gong ◽

Yaosheng Wang ◽

...

Keyword(s):

Extreme Learning Machine ◽

Heuristic Algorithms ◽

Crop Evapotranspiration ◽

Machine Model ◽

Reference Crop Evapotranspiration ◽

Climatic Regions ◽

Learning Machine ◽

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