Preprints
https://doi.org/10.5194/hess-2021-590
https://doi.org/10.5194/hess-2021-590
 
01 Dec 2021
01 Dec 2021
Status: a revised version of this preprint is currently under review for the journal HESS.

Estimation Standard And Seeded Pan Evaporation Using Modelling Approach

Brigitta Simon-Gáspár, Gábor Soós, and Angela Anda Brigitta Simon-Gáspár et al.
  • Hungarian University of Agriculture and Life Sciences, Georgikon Campus, P. O. Box 71 Keszthely, H-8361 Hungary

Abstract. Evaporation is an important meteorological variable that has also a great impact on water management. In this study, FAO-56 Penman-Monteith equation (FAO56-PM), multiple stepwise regression (MLR) and Kohonen self-organizing map (K-SOM) techniques were used for the estimation of daily pan evaporation (Ep) in three treatments, where C was the standard class A pan with top water, S was A pan with sediment covered bottom, and SM was class A pan containing submerged macrophytes (Myriophyllum sipctatum., Potamogeton perfoliatus, and Najas marina), in an six-season experiment. The modelling approach included six measured meteorological variables; daily mean air temperatures (Ta), maximum and minimum air temperatures, global radiation (Rs), relative humidity (RH), and wind speed (u) in the 2015–2020 growing seasons (from June to September), at Keszthely, Hungary. Average Ep varied from 0.6 to 6.9 mm d−1 for C, 0.7 to 7.9 mm d−1 for S, whereas from 0.9 to 8.2 mm d−1 for SM during the growing seasons studied. Correlation analysis and K-SOM visual representation revealed that Ta and Rs had stronger positive correlation, while RH had a negative correlation with the Ep of C, S and SM. Performances of the different models were compared using statistical indices, which included the root mean square error (RMSE), mean absolute error (MAE), scatter index (SI) and Nash-Sutcliffe efficiency (NSE). The results showed that the MLR method provided close compliance with the observed pan evaporation values, but the K-SOM method gave better estimates than the other methods. Overall, K-SOM has high accuracy and huge potential for Ep estimation for water bodies where freshwater submerged macrophytes are present.

Brigitta Simon-Gáspár et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2021-590', Anonymous Referee #1, 05 Dec 2021
    • AC1: 'Reply on RC1', Brigitta Simon-Gáspár, 09 Dec 2021
  • RC2: 'Comment on hess-2021-590', Anonymous Referee #2, 07 Dec 2021
    • AC2: 'Reply on RC2', Brigitta Simon-Gáspár, 04 Jan 2022
  • RC3: 'Comment on hess-2021-590', Anonymous Referee #3, 17 Dec 2021
    • AC3: 'Reply on RC3', Brigitta Simon-Gáspár, 17 Jan 2022
  • RC4: 'Comment on hess-2021-590', Anonymous Referee #4, 25 Dec 2021
    • AC4: 'Reply on RC4', Brigitta Simon-Gáspár, 17 Jan 2022
  • RC5: 'Comment on hess-2021-590', Anonymous Referee #5, 04 Jan 2022
    • RC6: 'Followup to RC5', Anonymous Referee #1, 17 Jan 2022
      • AC6: 'Reply on RC6', Brigitta Simon-Gáspár, 25 Jan 2022
    • AC5: 'Reply on RC5', Brigitta Simon-Gáspár, 17 Jan 2022

Brigitta Simon-Gáspár et al.

Brigitta Simon-Gáspár et al.

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Short summary
Due to climate change, it is extremely important to determine evaporation as accurately as possible. In nature, there are sediments and macrophytes in the open waters, thus, one of the aims was to investigate their effect on evaporation. The second aim of this paper was to estimate daily evaporation by using different models, which, according to results have high priority in the evaporation prediction. Water management can obtain useful information from the results of the current research.