SavedAdd your journal

Journals / Tarım Bilimleri Dergisi / 2022 / Cilt: 28 - Sayı: 3

Determining the Relationship of Evapotranspiration with Precipitation and Temperature Over Turkey

Mustafa KUZAY
Mustafa TUNA
Mustafa TOMBUL
Pages
525–534
Publication Date
2022-09-05
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The importance of water holding capacity in plants in determining agricultural and hydrological drought can be explained by evapotranspiration.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Evapotranspiration (ET), which is a combination of the words evaporation and transpiration, is expressed as the sum of water due to water consumption and evaporation in plants.
📊
Key Findings & Data:In this study, the NASADrought Early Warning Systems Network Land Data Assimilation System model (FLDAS NOAH) was used to determine evapotranspiration data for the 2018-2019 water years (October 2017-September 2019) on Turkey.
💡
Conclusion & Impact:The importance of water holding capacity in plants in determining agricultural and hydrological drought can be explained by evapotranspiration.
🔬Design:Modeling & Simulation
📍Scope:2018-2019 Verileri
⚙️Variables:Drought · Hydrology · Climate Change

Abstract

Evapotranspiration (ET), which is a combination of the words evaporation and transpiration, is expressed as the sum of water due to water consumption and evaporation in plants. In this study, the NASADrought Early Warning Systems Network Land Data Assimilation System model (FLDAS NOAH) was used to determine evapotranspiration data for the 2018-2019 water years (October 2017-September 2019) on Turkey. In addition, NASA Global Land Data Assimilation System (GLDAS NOAH) was used for temperature data. Total precipitation data with corrected error rates are taken from MERRA-2 Model M2TMNXFLX. The relationship between the determined monthly total average evapotranspiration values and the monthly average precipitation and monthly average temperature values was determined by ArcGIS. It is important to examine the local evaporation and transpiration conditions in more detail in the regions where water resources planning will be made. The importance of water holding capacity in plants in determining agricultural and hydrological drought can be explained by evapotranspiration.

🔖

Cite This Article

KUZAY, M., TUNA, M., TOMBUL, M. (2022). Determining the Relationship of Evapotranspiration with Precipitation and Temperature Over Turkey. Tarım Bilimleri Dergisi, Cilt: 28 - Sayı: 3, 525–534. https://ajindex.com/articles/702579

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (10)

  1. Anderson M C, Kustas W P, Norman J M, Hain C R, Mecikalski J R, Schultz L, Gonzalez-Dugo M P, Cammalleri C, d’Urso G, Pimstein A. & Gao F (2011). Mapping daily evapotranspiration at field to continental scales using geostationary and polar orbiting satellite imagery. Hydrology and Earth System Sciences 15: 223-239
  2. Chen Y, Li X, Jing L & Shei P (2005). Estimation of daily evapotranspiration using a two-layer remote sensing model. International Journal of Remote Sensing 26 (8): 1755-1762
  3. Coğrafya (2019). http://www.cografya.gen.tr/siyasi/devletler/turkiye.htm. Access date: 01.12.2019 Du J P & Sun R (2012). Estimation of evapotranspiration for ungauged areas using MODIS measurements and GLDAS data. Procedia Environmental Sciences 13: 1718-1727
  4. Fang H, Beaudoing H K, Rodell M, Teng W L, Vollmer B E (2009). Global land data assimilation system (GLDAS) products, services and application from NASA hydrology data and information services center (HDISC), In: ASPRS 2009
  5. Annual Conference, Baltimore, Maryland, 8-13
  6. March Glenn, E P, Huete A R, Nagler P L, Hirschboeck K K & Brown P (2007). Integrating remote sensing and ground methods to estimate evapotranspiration. Critical Reviews in Plant Sciences 26(3): 139-168
  7. GSFC (2019). Giovanni. Retrieved in November, 11, 2019 from https://giovanni.gsfc.nasa.gov/giovanni
  8. Loeser C, Rui H, Teng W, Ostrenga D, Wei J, McNally A, Jacob J P & Meyer D (2020). Famine early warning systems network (FEWS NET) land data assimilation system (LDAS) and other assimilated hydrological data at NASA GES DISC. In: American Meteorological Society Annual Meeting, 12 January, Boston MGM (2019). Buharlaşma. Retrieved in November, 19, 2019 from https://www.mgm.gov.tr/arastirma/buharlasma.aspx Park J & Choi M (2015). Estimation of evapotranspiration from ground-based meteorological data and global land data assimilation system (GLDAS). Stochastic Environmental Research and Risk Assessment 29: 1963-1992
  9. Rodell M, Houser P R, Jambor U, Gottschalk J, Mitchell K, Meng C J, Arsenault K., Cosgrove B, Radakovich J, Bosilovich M, Entin J K, Walker J P, Lohmann D & Toll D (2004). The global land data assimilation system. Bulletion of American Meteorological Society, 85(3): 381-394
  10. Reichle, R. H., Draper, C. S., Liu, Q., Girotto, M., Mahanama, S. P., Koster, R. D., & De Lannoy, G. J. (2017). Assessment of MERRA-2 land surface hydrology estimates. Journal of Climate, 30(8), 2937-2960 Swenson S & Wahr J, (2006). Estimating large-scale precipitation minus evapot