The average precipitation on the irrigation field can be estimated from the Meteorology Observation Stations by using spatial interpolation methods such as Thiessen polygon and isohyetal curves. However, the fact that precipitation doesn't occur homogenous in spatial scales, spatial interpolation methodologies need a large number of meteorology stations for more accurate results. In recent years, remote sensing methods have diversified to estimate precipitation. In this study, performance of the satellite-based precipitation data was assessed to determine areal precipitation over an irrigation area. This study was conducted over left bank irrigation area located in the Çukurova Plain of Turkey. Relationship between CHIRPS satellite based on monthly precipitation data and 4 meteorology stations’ data were analyzed. Determination coefficients (R2 ) of the stations were found between 0.64 and 0.77, for point based comparison, R2 was calculated as 0.84 with Thiessen polygon method. It is concluded that the precipitation amount in the irrigated area can be estimated as accurately as classical methods such as Thiessen polygon with satellite-based precipitation data.
___
Aksu H, Akgül MA. 2020. Performance evaluation of CHIRPS satellite precipitation estimates over Turkey, Theor Appl Climatol 142: 71–84, doi.org/10.1007/s00704-020-03301-5.
Allen RG, Tasumi M, Trezza R. 2007. Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)–Model, J. Irrig. Drain. Eng, ASCE 133 (4): 380–394.
Bai L, Shi C, Li L, Yang Y, Wu J. 2018. Accuracy of CHIRPS Satellite-Rainfall Products over Mainland China, Remote Sens, 10: 362.
Bastiaanssen WGM, Menenti M, Feddes RA, Holtslag AAM. 1998. A remote sensing surface energy balance algorithm for land (SEBAL), 1. Formulation, Journal of Hydrology, Vol. 212–213: Pages 198-212.
Burgan Hİ. 2019. Flow Duration Curve Model for Ungauged Intermitted Rivers, Istanbul Technical University, PhD Thesis.
Cleophas TJ, Zwinderman AH. 2016. SPSS for starters and 2nd levelers. Cham: Springer International Publishing, https://doi.org/10.1007/978-3-319-20600-4.
Davie T. 2008. Fundamentals of Hydrology, Second Edition, Routledge Fundamentals of Physical Geography Series, Taylor and Francis, London and New York.
DSİ, 2014. Seyhan River Basin Master Plan Report, 6th Regional Directorate, Adana.
Esri, 2011 ArcGIS Desktop: Release 10, Redlands, CA: Environmental Systems Research Institute.
Funk C, Verdin J, Michaelsen J, Peterson P, Pedreros D, Husak G. 2015. A global satellite assisted precipitation climatology, Earth System Science Data Discussions, 7: 1-13, https://doi.org/10.5194/essdd-7-1-2015.
Gupta H, Sorooshian V, Yapo PO. 1999. Status of Automatic Calibration for Hydrologic Models: Comparison with Multilevel Expert Calibration, J. Hydrologic Eng, 4(2): 135- 143.
İpek Şİ. 2006. Sulama, Su Vakfı, İstanbul.
Liew MWV, Arnold JG, Garbrecht JD. 2003. Hydrologic simulation on agricultural watersheds: Choosing between two models, Trans. ASAE 46(6): 1539-1551.
MGM, 2020. https://www.mgm.gov.tr/kurumsal/istasyon larimiz.aspx, Last accession date September 13: 2020.
Moriasi DN, Arnold JGM, Van Liew W, Binger RI, Harmel RD, Veith T. 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations, Transactions of the ASABE, 50(3): 885-900. doi: 10.13031/2013.23153.
Musy A, Hingray B, Picouet C. 2014. Hydrology. A Science for Engineers, Boca Raton: CRC Press, Taylor and Francis Group. https://doi.org/10.1201/b17169.
Nash JE, Sutcliffe JV. 1970. River Flow Forecasting through Conceptual Models 1. A Discussion of Principles, Journal of Hydrology, 10(3): 282-290.
Paredes-Trejo FJ, Barbosa HA, Kumar TVL. 2017. Validating CHIRPS-based satellite precipitation estimates in Northeast Brazil, J Arid Environ, 139: 26–40.
Rivera JA, Marianetti G, Hinrichs S. 2018. Validation of CHIRPS precipitation dataset along the Central Andes of Argentina, Atmospheric research, doi:10.1016/j. atmosres.2018.06.023.
Shiklomanov I. 1993. World fresh water resources. In: P.H. Gleick, editor. Water in crisis: A guide to the world’s fresh water resources. Oxford Univ. Press, New York.
Thiessen AH. 1911. Precipitation Averages for Large Areas, Monthly Weather Review, 39(7): 1082–1084.
Tote C, Patricio D, Boogaard H, Wijngaart R Van Der, Tarnavsky E, Funk C. 2015. Evaluation of satellite rainfall estimates for drought and flood monitoring in Mozambique, Remote Sens, 7 (2): 1758-1776.
Turkes M, Turp MT, An N, Ozturk T, Kurnaz ML. 2020. Impacts of Climate Change on Precipitation Climatology and Variability in Turkey, In: Harmancioglu N, Altinbilek D (eds) Water Resources of Turkey, World Water Resources, Vol 2. Springer, Cham.
Ullah W, Wang G, Ali G, Tawia Hagan DF, Bhatti AS, Lou D. 2019. Comparing Multiple Precipitation Products against InSitu Observations over Different Climate Regions of Pakistan, Remote Sens., 11: 628.
Yamada I. 2016. Thiessen Polygons, The International Encyclopedia of Geography: John Wiley and Sons, Ltd. Published, doi:10.1002/9781118786352.wbieg0157.