1 Viet Nam National University of Forestry; email@example.com
2 Vietnam Institute of Meteorology, Hydrology and Climate Changer; firstname.lastname@example.org
3 Hanoi University of Mining and Geology; email@example.com
*Correspondence: firstname.lastname@example.org; Tel: +84–913212325
Net radiation (Rn) is the solar energy absorbed by vegetation and land and water surfaces as a key driving force for evapotranspiration. Therefore, the accuracy of the Rn value affects the determination of evapotranspiration from different models. The article presents the results of calculating the average daily net radiation value according to the FAO–56 model, IRMAK model, and Remote sensing model. The results of calculating the average daily net radiation value at the Hoa Binh province’s meteorological and hydrological monitoring stations according to the FAO–56, IRMAK, and Remote Sensing models have the value of 17.593 MJ/m2/day, 16.389 MJ/m2/day, and 18.531 MJ/m2/day, respectively. The difference of Rnd between the FAO–56 model and the IRMAK model is –1.20 (MJ/m2/day), corresponding to 6.84%, and the difference of Rnd between the FAO–56 model and the Remote sensing model is 0.94 (MJ/m2/day), corresponding to 5.58%. The largest and smallest difference between Rnd_FAO–56 and Rnd_IRM values at Lam Son hydrological station and Hoa Binh meteorological station is –1.885 (MJ/m2/day) match up 10.10%, and –0.31 (MJ/m2/day) match up 1.75%, respectively. In addition, the largest and smallest difference between Rnd_FAO–56 and Rnd_VT values at Lac Son meteorological station and Lam Son hydrological station is 2.80 (MJ/m2/day), corresponding to 17.49%, and 0.23 (MJ/m2/day), corresponding to 1.18%, respectively. The average daily net radiation value due to percentage at meteorological and hydrological monitoring stations between Rnd_FAO and Rnd_VT: the difference of 0–5% is 5/8 stations, 5–10% is 1/8 stations, 10–15% is 1/8 stations and 15–20% is 1/8 stations, accounting for 62.5%, 12.5%, 12.5% and 12.5%, respectively.
Cite this paper
Chien, H.L.; Phong, D.H.; Truong, X.T. Comparative results of the average daily net radiation (Rnd) from meteorological observation data and Landsat–8 remote sensing imagery areas of Hoa Binh province. VN J. Hydrometeorol. 2021, 9, 9-22.
1. Diak, G.R.; Gautier, C. Improvements to a simple physical model for estimating insolation from GOES data. J. Clim. Appl. Meteorol. 1983, 22, 505–508.
2. Gautier, C.; Diak, G.; Masse, S. A simple physical model to estimate incident solar radiation at the surface from GOES satellite data. J. Appl. Meteorol. 1980, 19, 1005–1012.
3. Jacobs, J.M.; Myers, D.A.; Anderson, M.C.; Diak, G.R. GOES surface insolation to estimate wetlands evapotranspiration. J. Hydrol. 2000, 266, 53 – 65
4. Ma, Y.; Su, Z.; Li, Z.; Koike, T.; Menenti, M. Determination of regional net radiation and soil heat flux over a heterogeneous landscape of the Tibetan Plateau. Hydrol. Processes 2002, 16, 2963–2971.
5. Bastiaanssen, W.G.M.; Pelgrum, H.; Menenti, M.; Feddes, R.A. Estimation of surface resistance and Priestley - Taylor a parameter at different scales. In Stewart, J.; Engman, E.; Feddes, R.; Kerr, Y. (Eds.). Scaling up in hydrology using remote sensing. New York’ Wiley, 1996, pp. 93–111.
6. Jackson, R.D.; Reginato, R.J.; Idso, S.B. Wheat canopy temperature: A practical tool for evaluating water requirements. Water Resour. Res. 1977, 3, 651–656.
7. Seguin, B.; Assad, E.; Freaud, J.P.; Imbernon, J.P.; Kerr, Y.; Lagouarde, J.P. Use of meteorological satellite for rainfall and evaporation monitoring. Int. J. Remote Sens. 1989, 10, 1001–1017.
8. Jiang, L.; Islam, S. Estimation of surface evaporation map over southern Great Plains using remote sensing data. Water Resour. Res. 2001, 37(2), 329–340.
9. Nishida, K.; Nemani, R.R.; Running, S.W.; Glassy, J.M. An operational remote sensing algorithm of land evaporation. J. Geophys. Res. 2003, 108(D9), 4270.
10. Norman, J.M.; Anderson, M.C.; Kustas, W.P.; French, A.N.; Mecikalski, J.; Torn, R.; Diak, G.R.; Schmugge, T.J.; Tanner, B.C.W. Remote sensing of surface energy fluxes at 101-m pixel resolutions. Water Resour. Res. 2003, 39(8), 1221.
11. Ke, L.C. Evaluating the accuracy of surface evapotranspiration according to Makkink model based on solar radiation data extracted from Modis satellite images. Proceedings of the Science and Technology Conference, University of Hanoi Natural Resources and Environment, 2013.
12. Tuong, T.N.; Manh, P.V.; Ke, L.C. Surveying hourly surface evapotranspiration on the Priestley–Taylor model by net radiation extracted from Modis satellite images. Proceedings of the Society Science and Technology Workshop, Institute of Geodesy and Cartography, Hanoi, 2014.
13. Ke, L.C.; Tuong, T.N.; Manh, P.V. Comparing the average daily net radiation estimate extracted from Modis satellite images with the results from meteorological observation data. Reported in the conference proceedings. Science and Technology, University of Ho Chi Minh City Natural Resources and Environment, 2014.
14. People’s Committee of Hoa Binh province, 2018 statistical yearbook.
15. http://landsat.usgs.gov/landsat8.php/. Detailed information about the Landsat 8 satellite provided by the US Geological Survey (USGS).
16. Allen, G.R.; Pereira, L.S.; Raes, D.; Smith, M. Crop Evapotranspiration–Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56. FAO, Rome, Italy, 1998, pp. 78–86.
17. Allen, G.R.; Pereira, L.S.; Raes, D.; Smith, M. Crop Evapotranspiration–Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56. FAO, Rome, Italy, 1998, 78–86.
18. Irmak, S.; Irmak, A.; Allen, R.G.; Jones, J.W. Solar and net radiation-based equations to estimate reference evapotranspiration in humid climates. J. Irrig. Drain. Eng. ASCE 2003, 129(5), 336–347.
19. Allen, R.; Tasumi, M.; Trezza, R. Advanced Training and Users Manual SEBAL Surface Energy Balance Algorithms for Land, University of Idaho, 2002, pp.1–98.
20. Jackson, R.D.; Hatfield, J.L.; Reginato, R.J.; Idso, S.B.; Jr Pinter, P.J. Estimation of daily evapotranspiration from one-time-of-day measurements. Agric. Water. Manage. 1983, 7(3), 351–362.