Skip to Main Content
U.S. Forest Service
Caring for the land and serving people

United States Department of Agriculture

Home > Search > Publication Information

  1. Share via EmailShare on FacebookShare on LinkedInShare on Twitter
    Dislike this pubLike this pub
    Author(s): D.M. Amatya; A. Muwamba; S. Panda; T.J. Callahan; S. Harder; C.A. Pellett
    Date: 2018
    Source: Journal of South Carolina Water Resources
    Publication Series: Scientific Journal (JRNL)
    Station: Southern Research Station
    PDF: Download Publication  (2.0 MB)

    Description

    Given the State of South Carolina’s ongoing water planning efforts, in this study we evaluated seasonal and annual potential evapotranspiration (PET) using measured Class A pan evaporation and three widely used estimation methods for the State with three distinct physiographic regions (Coastal, Piedmont, and Mountainous). The methods were temperature-based Hargreaves-Samani (H-S), radiation-based Priestley-Taylor (P-T), and fully process-based Penman-Monteith (P-M). The objectives of the study were to: (a) describe seasonal and temporal distribution of PET by all methods, and (b) quantify differences among PET methods in each region and among regions for each PET method, and (c) identify relationships between monthly pan evaporation (PE) and estimated PET by each method. Daily weather variables from 59 National Oceanic and Atmospheric Administration (NOAA) weather stations distributed in the three regions of South Carolina were used to estimate daily PET for an 18-year period (1998-2015). Net radiation was estimated using modeled solar radiation values for weather station. The average annual H-S PET values for 1998-2015 were 1232± 9, 1202± 11, and 1115± 10 mm for the Coastal, Piedmont, and Mountainous regions, respectively, while the average annual P-T PET values for the same period and regions were 1179 ± 10, 1137± 11, and 1082 ± 11 mm, respectively. Both the mean annual H-S PET and P-T PET for the Mountainous region were significantly (α= 0.05) lower than for the Coastal and Piedmont regions. The mean annual P-T PET for the Coastal region was significantly (α= 0.05) greater than that for the Piedmont. Regional differences showed that estimated PET from 1998-2015 was greatest in Coastal and lowest in Mountainous region. Comparison of all three methods using only data from a common 8-year period showed mean annual P-M PET, varying from 1142 mm in the Piedmont to 1270 mm in the Coastal region, was significantly higher than both the H-S and P-T PET in both regions. The greatest mean monthly H-S and P-T PET values were observed in June and July. Statistical evaluation showed a better agreement of H-S PET with measured pan evaporation followed by the energy balance-based P-T method that used modeled radiation data. However, the latter method may be preferred for PET estimation for South Carolina with a humid climate and also dominated by forest landuse, given more rigorous ground-truthing of modeled solar radiation as data become available. Accordingly, surface interpolation algorithm, Inverse Distance Weighted (IDW), was used to spatially map the distributed P-T PET for the State. Results from this study can be used to support several components of the ongoing water planning efforts in the State of South Carolina.

    Publication Notes

    • You may send email to pubrequest@fs.fed.us to request a hard copy of this publication.
    • (Please specify exactly which publication you are requesting and your mailing address.)
    • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Amatya, D.M.; Muwamba,A.; Panda, S.; Callahan, T.J.; Harder,S.; and Pellett, C.A. 2018. Assessment of spatial and temporal variation of potential evapotranspiration estimated by four methods for South Carolina, USA. J. South Carolina Water Resources 5(1):3-24

    Related Search


    XML: View XML
Show More
Show Fewer
Jump to Top of Page
https://www.fs.usda.gov/treesearch/pubs/58460