GANN models for reference evapotranspiration estimation developed with weather data from different climatic regions

2013 ◽  
Vol 116 (3-4) ◽  
pp. 481-489 ◽  
Author(s):  
Zikui Wang ◽  
Pute Wu ◽  
Xining Zhao ◽  
Xinchun Cao ◽  
Ying Gao
Keyword(s):  
Reference Evapotranspiration ◽  
Weather Data ◽  
Climatic Regions ◽  
Evapotranspiration Estimation

scholarly journals Reference evapotranspiration estimation using equations with limited data in arid zones

2020 ◽  
pp. 1-7
Author(s):  
Norma Guadalupe Sifuentes-Morín ◽  
José Ernesto Frías-Ramírez ◽  
Alan Joel Servín-Prieto ◽  
José Alfredo Montemayor-Trejo
Keyword(s):  
New Mexico ◽  
Water Consumption ◽  
Reference Evapotranspiration ◽  
Weather Data ◽  
Arid Zones ◽  
Climate Data ◽  
New Mexico State University ◽  
Science School ◽  
Crop Water Consumption ◽  
Evapotranspiration Estimation

Reference evapotranspiration (ETo), is the most important parameter to estimate water consumption. Nowadays the FAO-56 Penman-Monteith method is the most used in the world to estimate Eto, and recommended as the standard method. The main limitation to use this method is the availability of the requiere weather data. There are step by step calculations to estimate ETo when there is a lack of climate data; with the purpose to estimate the crop water consumption in arid regions, it was evaluated the presicion and aplicability of three equations to estimate this parameter when there is limited climate data. Estimates of Eto were performed for five sites, New Mexico State University main campus and its research centers Leyendecker, Artesia and Fabian Garcia, in new Mexico, USA; as well as the Agriculture and Range Science School of the Juarez University of Durango State in Mexico. The estimates of ETo were done with all required wheater data and with lack of solar radiation and relative humidity data. The presicion of the equations was evaluated by using the relative error and the index of agreement, consiedring as reference the FAO-56 with full weather data.

New alternatives for reference evapotranspiration estimation in West Africa using limited weather data and ancillary data supply strategies.

2017 ◽  
Vol 132 (3-4) ◽  
pp. 701-716 ◽  
Author(s):  
Gorka Landeras ◽  
Emmanuel Bekoe ◽  
Joseph Ampofo ◽  
Frederick Logah ◽  
Mbaye Diop ◽  
...  
Keyword(s):  
West Africa ◽  
Reference Evapotranspiration ◽  
Weather Data ◽  
Ancillary Data ◽  
Evapotranspiration Estimation

scholarly journals NECESSIDADE HÍDRICA DA Crotalaria juncea L. EM RESPOSTA À SALINIDADE RESIDUAL DO SOLO

Irriga ◽  
2018 ◽  
Vol 21 (2) ◽  
pp. 211
Author(s):  
Pedro Ramualyson Fernandes Sampaio ◽  
Neyton De Oliveira Miranda ◽  
José Francismar De Medeiros ◽  
Rozana Maria de Sousa Lima ◽  
Wesley De Oliveira Santos
Keyword(s):  
Water Consumption ◽  
Reference Evapotranspiration ◽  
Crop Coefficient ◽  
Weather Data ◽  
Growth Phases ◽  
Flowering Stage ◽  
Crotalaria Juncea ◽  
Salinity Levels ◽  
Evapotranspiration Estimation ◽  
Electronic Spreadsheet

NECESSIDADE HÍDRICA DA Crotalaria juncea L. EM RESPOSTA À SALINIDADE RESIDUAL DO SOLO PEDRO RAMUALYSON FERNANDES SAMPAIO1; NEYTON DE OLIVEIRA MIRANDA2; JOSÉ FRANCISMAR DE MEDEIROS2; ROZANA MARIA DE SOUSA LIMA3 E WESLEY DE OLIVEIRA SANTOS2 1Engenheiro Agrônomo, Doutorando, Escola Superior de Agricultura Luiz de Queiroz/ESALQ-USP, Programa de Pós-Graduação em Engenharia de Sistemas Agrícolas, Av. Pádua Dias, 11 - São Dimas, 13418-900, Piracicaba - SP, Brasil, [email protected] Agrônomos, Professores Doutores da Universidade Federal Rural do Semi-Árido/UERSA, Departamento de Ciências Ambientais e Tecnológicas, Av. Francisco Mota, 572 – Costa e Silva, 59625-900, Mossoró, RN, Brasil, [email protected]; [email protected]; [email protected]óloga em Recursos Hídricos e Irrigação, Mestre em Irrigação e Drenagem. Instituto Agropolos do Ceará, Rua Barão de Aratanha, 1450 - CEP: 60.050-071 Fortaleza - CE, Brasil, [email protected]  1 RESUMO O trabalho realizado na Fazenda Experimental da Universidade Federal Rural do Semi-Árido em Mossoró, RN, objetivou avaliar a evapotranspiração e o consumo de água pela Crotalaria juncea L. após cultivos consecutivos de cucurbitáceas irrigadas com água de diferentes salinidades. Para isso, foi determinada a evapotranspiração da cultura (ETc) utilizando lisímetros de pesagem, estimou-se a evapotranspiração de referência diária por meio da equação de Penman-Monteith-FAO e, em seguida, foram determinados os coeficientes de cultura (Kc). As variáveis foram analisadas utilizando as médias de dados meteorológicos e dos Kc até a fase de florescimento da cultura. As ETc durante todo o período de 56 dias apresentaram valores de 228,55 e 189,53 mm para as salinidades de 0,6 dS m-1 e 5,0 dS m-1, respectivamente. O maior consumo de água pela Crotalária juncea foi obtido com o menor nível de salinidade residual em todas as fases, com pequena diferença para o consumo no maior nível, indicando tolerância das plantas naquele nível de salinidade. Os Kc obtidos nas três fases de crescimento foram 0,34; 0,89 e 1,41, para a menor salinidade, e 0,29; 0,80 e 1,31 para a maior salinidade. Palavras-chave: irrigação, evapotranspiração, adubo verde.  SAMPAIO, P. R. F.; MIRANDA, N. O.; MEDEIROS, J. F.; LIMA, R. M. S.; SANTOS, W. O.WATER REQUIREMENT OF Crotalaria juncea L. AS A RESPONSE TO SOIL RESIDUAL SALINITY  2 ABSTRACT This work was carried out at the experimental farm of Federal Rural University of Semiarid, at Mossoró, RN, Brazil, aiming at assessing evapotranspiration and water consumption by Crotalaria juncea L. after successive cycles of cucurbitaceae irrigated with water of different salinities. With this purpose, weighing lysimeters were used for crop evapotranspiration (ETc) determination, Penman-Monteith-FAO was used for daily reference evapotranspiration estimation, followed by crop coefficient (Kc) determination. Analysis of variables was made using averages of weather data obtained and of Kc up to crop flowering stage, using electronic spreadsheet. During this 56 days period ETc values of 228.55 and 189.53 mm day-1, were obtained for the lower (0.6 dS m-1) and higher (5.0 dS m-1) salinity levels applied, respectively. Crotalaria juncea presented the higher water consumption with the lower level of residual salinity in all phases, with little difference in relation to the higher level, indicating tolerance to that salinity level. Kc obtained in the three growth phases were 0.34, 0.89 and 1.41 for the lower salinity, and 0.29, 0.80 and 1.31 for the higher salinity. Keywords: irrigation, evapotranspiration, green manure.

Improvement of Makkink model for reference evapotranspiration estimation using temperature data in Northwest China

2018 ◽  
Vol 566 ◽  
pp. 264-273 ◽  
Author(s):  
Qingwen Zhang ◽  
Ningbo Cui ◽  
Yu Feng ◽  
Daozhi Gong ◽  
Xiaotao Hu
Keyword(s):  
Reference Evapotranspiration ◽  
Northwest China ◽  
Temperature Data ◽  
Evapotranspiration Estimation

scholarly journals Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazil

2018 ◽  
Vol 22 (2) ◽  
pp. 83-89 ◽  
Author(s):  
Gustavo H. da Silva ◽  
Santos H. B. Dias ◽  
Lucas B. Ferreira ◽  
Jannaylton É. O. Santos ◽  
Fernando F. da Cunha
Keyword(s):  
Wind Speed ◽  
Solar Radiation ◽  
Standard Method ◽  
Reference Evapotranspiration ◽  
Meteorological Data ◽  
Air Humidity ◽  
Method Performance ◽  
Relative Air Humidity ◽  
Evapotranspiration Estimation ◽  
Missing Variables

ABSTRACT FAO Penman-Monteith (FO-PM) is considered the standard method for the estimation of reference evapotranspiration (ET0) but requires various meteorological data, which are often not available. The objective of this work was to evaluate the performance of the FAO-PM method with limited meteorological data and other methods as alternatives to estimate ET0 in Jaíba-MG. The study used daily meteorological data from 2007 to 2016 of the National Institute of Meteorology’s station. Daily ET0 values were randomized, and 70% of these were used to determine the calibration parameters of the ET0 for the equations of each method under study. The remaining data were used to test the calibration against the standard method. Performance evaluation was based on Willmott’s index of agreement, confidence coefficient and root-mean-square error. When one meteorological variable was missing, either solar radiation, relative air humidity or wind speed, or in the simultaneous absence of wind speed and relative air humidity, the FAO-PM method showed the best performances and, therefore, was recommended for Jaíba. The FAO-PM method with two missing variables, one of them being solar radiation, showed intermediate performance. Methods that used only air temperature data are not recommended for the region.

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