Skip to main content
Log in

Error assessment of climate variables for FAO-56 reference evapotranspiration

  • Original Paper
  • Published:
Meteorology and Atmospheric Physics Aims and scope Submit manuscript

Abstract

Meteorological stations, which measure all the required meteorological parameters to estimate reference evapotranspiration (ETo) using the Food and Agriculture Organization Penman–Monteith (FAO56-PM) method, are limited in Korea. In this study, alternative methods were applied to estimate these parameters, and the applicability of these methods for ETo estimation was evaluated by comparison with a complete meteorological dataset collected in 2008 in Korea. Despite differences between the estimation and observation of radiation and wind speed, the comparison of ETo showed small differences [i.e., mean bias error (MBE) varying −0.22 to 0.25 mm day−1 and root-mean-square-error (RMSE) varying 0.06–0.50 mm day−1]. The estimated vapor pressure differed considerably from the observed, resulting in a larger discrepancy in ETo (i.e., MBE of −0.50 mm day−1 and RMSE of 0.60–0.73 mm day−1). Estimated ETo showed different sensitivity to variations of the meteorological parameters—in order of vapor pressure > wind speed > radiation. It is clear that the FAO56-PM method is applicable for reasonable ETo estimation at a daily time scale especially in data-limited regions in Korea.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Allen RG (2000) Using the FAO-56 dual crop coefficient method over an irrigated region as part of an evapotranspiration intercomparison study. J Hydrol 229:27–41

    Article  Google Scholar 

  • Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration–Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper 56. FAO, Rome

    Google Scholar 

  • An J, Kim E (2006) Water balance of a small catchment in the subalpine grassland of Mt. Halla, Southern Korea. J Korean Geogr Soc 44:404–417

    Google Scholar 

  • ASCE.EWRI (2005) The ASCE standardized reference evapotranspiration equation, ASCE-EWRI Standardization of Reference Evapotranspiration Task Committee Rep., ASCE Bookstore

  • Brunt D (1932) Physical and dynamical meteorology. Cambridge University Press, Cambridge

    Google Scholar 

  • Brutsaert W (1982) Evaporation into the atmosphere: theory, history, and applications. Kluwer Academic Publishers, Dordrecht

    Google Scholar 

  • Cai J, Liu Y, Lei T, Pereira LS (2007) Estimating reference evapotranspiration with the FAO Penman-Monteith equation using daily weather forecast messages. Agric For Meteorol 145:22–35

    Article  Google Scholar 

  • Chiew FHS, Kamaladasa NN, Malano HM, McMahon TA (1995) Penman-Monteith, FAO-24 reference crop evapotranspiration and class-A pan data in Australia. Agric Water Manag 28:9–21

    Article  Google Scholar 

  • Choi M, Kustas WP, Anderson M, Allen R, Li F, Kjaersgaard JH (2009) An intercomparison of three remote sensing-based surface energy balance algorithms over a corn and soybean production region (IowaU.S.) during SMACEX. Agric For Meteorol 149:2082–2097

    Article  Google Scholar 

  • Choi M, Lee SO, Kwon H (2010) Understanding of Common Land Model (CLM) performance for water and energy fluxes in farmland during a growing season in Korea. Hydrol Process. doi:10.1002/hyp.7567

  • Fisher JB, DeBiase TA, Qi Y, Xu M, Goldstein AH (2005) Evapotranspiration models compared on a Sierra Nevada forest ecosystem. Environ Model Softw 20:783–796

    Article  Google Scholar 

  • Gong L, Xu C, Chen D, Halldin S, Chen YD (2006) Sensitivity of the Penman–Monteith reference evapotranspiration to key climatic variables in the Changjiang (Yangtze River) basin. J Hydrol 329:620–629

    Article  Google Scholar 

  • Goyal RK (2004) Sensitivity of evapotranspiration to global warming: a case study of arid zone of Rajasthan (India). Agric Water Manag 69:1–11

    Article  Google Scholar 

  • Hupet F, Vanclooster M (2001) Effect of the sampling frequency of meteorological variables on the estimation of the reference evapotranspiration. J Hydrol 243:192–204

    Article  Google Scholar 

  • Jabloun M, Sahli A (2008) Evaluation of FAO-56 methodology for estimating reference evapotranspiration using limited climatic data Application to Tunisia. Agric Water Manag 95:707–715

    Article  Google Scholar 

  • Kang M, Park S, Kwon H, Choi HT, Choi YJ, Kim J (2009) Evapotranspiration from a deciduous forest in a complex terrain and a heterogeneous farmland under monsoon climate. Asia-Pacific J Atmos Sci 45:175–191

    Google Scholar 

  • Kim J, Lee D, Hong J, Kang S, Kim SJ, Moon SK, Lim JH, Son Y, Lee J, Kim S, Woo N, Kim K, Lee B, Lee BL, Kim S (2006) HydroKorea and CarboKorea: cross-scale studies of ecohydrology and biogeochemistry in a heterogeneous and complex forest catchment of Korea. Ecol Res 21:881–889

    Article  Google Scholar 

  • Kimball JS, Running SW, Nemani S (1997) An improved method for estimating surface humidity from daily minimum temperature. Agric For Meteorol 85:87–98

    Article  Google Scholar 

  • Kwon H (2009) Reply to Comment by Kang and Kim on “Estimation of net radiation in three different plant functional types in Korea”. Korean J Agric For Meteorol 11:123–125

    Google Scholar 

  • Kwon H, Park TY, Hong J, Lim JH, Kim J (2009) Seasonality of net ecosystem carbon exchange in two major plant functional types in Korea. Asia-Pacific J Atmos Sci 45:149–163

    Google Scholar 

  • Lascano RJ, van Bavel CHM (1986) Simulation and measurement of evaporation from a bare soil. Soil Sci Soc Am J 50:1127–1133

    Article  Google Scholar 

  • Lee D, Kim J, Kim SJ, Moon SK, Lee J, Lim JH, Son Y, Kang S, Kim S, Kim K, Woo N, Lee B, Kim S (2007) Lessons from cross-scale studies of water and carbon cycles in the Gwangneung forest catchment in a complex landscape of monsoon Korea. Korean J Agric For Meteorol 9:149–160

    Google Scholar 

  • Lim JH, Shin JH, Jin GZ, Chun JH, Oh JS (2003) Forest stand structure, site characteristics and carbon budget of the Kwangneung natural forest in Korea. Korean J Agric For Meteorol 5:101–109

    Google Scholar 

  • Oudin L, Hervieu F, Michel C, Perrin C, Andre’assian V, Anctil F, Loumagne C (2005) Which potential evapotranspiration input for a lumped rainfall-runoff model? Part 2—towards a simple and efficient potential evapotranspiration model for rainfall–runoff modelling. J Hydrol 303:290–306

    Article  Google Scholar 

  • Samani Z (2000) Estimating solar radiation and evapotranspiration using minimum climatological data. J Irrig Drain Eng 126:265–267

    Article  Google Scholar 

  • Willmott CJ (1982) Some comments on the evaluation of model performance. B Am Meteorol Soc 63:1309–1313

    Article  Google Scholar 

  • Zhang YQ, Chew FHS, Zhang L, Leuning R, Cleugh HA (2008) Estimating catchment evaporation and runoff using MODIS leaf area index and the Penman-Monteith equation. Water Resour Res 44:W10420. doi:10.1029/2007WR006563

    Article  Google Scholar 

Download references

Acknowledgments

The KoFlux data used in this study were produced through support from the Long-term Ecological Study and Monitoring of Forest Ecosystem Project of the Korea Forest Research Institute and the Korea Meteorological Administration. This study was supported by a grant (Code: 1-8-3) from the Sustainable Water Resources Research Center of 21st Century Frontier Research Program, and the A3 Foresight Program of the Korea Research Foundation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Minha Choi.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kwon, H., Choi, M. Error assessment of climate variables for FAO-56 reference evapotranspiration. Meteorol Atmos Phys 112, 81–90 (2011). https://doi.org/10.1007/s00703-011-0132-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00703-011-0132-1

Keywords

Navigation