Evaluation of FAO-56 Penman–Monteith and alternative methods for estimating reference evapotranspiration using limited climatic data at Pusa

Authors

  • SUDARSHAN PRASAD College of Agricultural Engineering, Rajendtra Agricultural University, Pusa (Bihar)
  • VISHAL KUMAR College of Agricultural Engineering, Rajendtra Agricultural University, Pusa (Bihar)

DOI:

https://doi.org/10.54386/jam.v15i1.1433

Keywords:

Reference evapotranspiration, FAO-56 Penman-Monteith model, Limited data

Abstract

The FAO-56 Penman–Monteith method (FAO-56 PM) is standard method recognized by the Food and Agriculture Organization of the United Nations for estimating reference evapotranspiration (ETO). Unfortunately, some of climatic variables, especially relative humidity, solar radiation and wind speed are often missing which could impede the estimation of ETO with the FAO-56 PM method. To overcome the problem of availability of climatic variables, procedures to estimate ETO with missing climate data are proposed as part of the FAO methodology. Therefore, assessing the accuracy of these procedures for Pusa Observatory is important.

The comparison of ETO estimates using limited data to those computed with full data set revealed that the difference between ETO obtained from full and limited data set is small. Both the Mean Bias Error (MBE) and the Root Mean Square Error (RMSE) of the comparison were less than 0.35 and 1.00 with a minimum of “0.11 and 0.29 mm day”1, respectively, leading to small errors in the ETO estimates. R2, ÷2-test and index of agreement values confirmed strong relationships among data for the year 1998 to 2006.

Downloads

Published

01-06-2013

How to Cite

SUDARSHAN PRASAD, & VISHAL KUMAR. (2013). Evaluation of FAO-56 Penman–Monteith and alternative methods for estimating reference evapotranspiration using limited climatic data at Pusa. Journal of Agrometeorology, 15(1), 22–29. https://doi.org/10.54386/jam.v15i1.1433

Issue

Vol. 15 No. 1 (2013): June

Section

Research Paper

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is a human-readable summary of (and not a substitute for) the license. Disclaimer.

You are free to:

Share — copy and redistribute the material in any medium or format

Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms.

    Under the following terms:

    Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

    NonCommercial — You may not use the material for commercial purposes.

    ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

    No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

    Notices:

    You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.

    No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.