Trends in crop reference evapotranspiration and climatological variables across Ceará state: Brazil.

Paulino, Virginia Ellen do Nascimento; Studart, Ticiana Marinho de Carvalho; Campos, Jos� Nilson B.; Pestana, Carlos J.; Luna, Renata Mendes; Alves, Jos� Maria Brabo

Abstract

Irrigation has a substantial share in total world water demand. At the global level, the withdrawal ratio for agriculture is 69 percent. Irrigation is necessary to compensate evapotranspiration (ET) deficit due to insufficient precipitation. Knowing the impacts of climatic changes on meteorological variables that directly affect the ET is important for successful climate adaptation. This paper analyzes annual trends in measured meteorological variables and in the crop reference evapotranspiration (ET0), at eight climatological stations in Ceará State, Brazil. Two statistical tests for trend analysis were used - Mann-Kendall and linear regression. The results indicate positive trend, statistically significant, in the maximum air temperature in five of eight stations. Minimum air temperature showed positive trend in three stations. Wind speed, sunshine hours and relative humidity presented positive and negative trends. These irregular patterns directly impacted ET0 in three stations. It seems that the increasing trend in ET0 was probably due to a significant increase detected in maximum temperature and minimum air temperature, not fully offset by the decrease in wind speed and relative humidity. The warning from these results is that water demand for irrigation is expected to significantly increase over the next decades on in Jaguaribe River Basin.

Citation

PAULINO, V.E.N., STUDART, T.M.C., CAMPOS, J.N.B., PESTANA, C.J., LUNA, R.M., ALVES, J.M.B. 2019. Trends in crop reference evapotranspiration and climatological variables across Ceará state: Brazil. Revista Brasileira de meteorologia [online], 34(1), pages 79-88. Available from: https://doi.org/10.1590/0102-7786334017

• Journal Article Type: Article
• Acceptance Date: Oct 4, 2018
• Online Publication Date: May 30, 2019
• Publication Date: Mar 31, 2019
• Deposit Date: Mar 16, 2021
• Publicly Available Date: Mar 16, 2021
• Journal: Revista Brasileira de meteorologia
• Print ISSN: 0102-7786
• Electronic ISSN: 1982-4351
• Publisher: Sociedade Brasileira de Meteorologia
• Peer Reviewed: Peer Reviewed
• Volume: 34
• Issue: 1
• Pages: 79-88
• DOI: https://doi.org/10.1590/0102-7786334017
• Keywords: Mann-Kendall; Linear regression; Semi-arid
• Public URL: https://rgu-repository.worktribe.com/output/1148169