Determining the relationship of evapotranspiration with precipitation and temperature over Turkey

Kuzay, Mustafa; TUNA, Mustafa; Tombul, Mustafa

doi:10.15832/ankutbd.952845

Cited by 5 publications

(4 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…There are some studies using satellite and model-derived datasets evaluating watershed runoff, land and sea surface temperature, and climate change projections in Turkey. These studies have claimed satisfaction and the accuracy of satellite and model-based meteorological parameters in modeling of hydrology and agro-climatology (Alramlawi and Fistikoglu, 2022;Kuzay et al, 2022;Tuzcu Kokal and Musaoğlu, 2021;Bicer, 2020;Irvem and Ozbuldu 2019;Tan, 2019;Demircan et al, 2017). However, the NASA POWER reanalysis dataset for different weather variables over Turkey has not been assessed yet.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of NASA POWER Climatic Data against Ground-Based Observations in The Mediterranean and Continental Regions of Turkey

HALİMİ

Karaca

BÜYÜKTAŞ³

2023

Tekirdağ Ziraat Fakültesi Dergisi

View full text Add to dashboard Cite

The weather reanalysis datasets are very advantageous data types worldwide that fill the gaps of missed measuring data and are alternatives that compensate for the scarcity of observed climate data. The main purpose of this study was to evaluate the effect of horizontal distance, altitude, and climatic regions compared to sea level on NASA POWER reanalysis data for daily temperature variables, relative humidity, and wind speed observed in meteorology stations in the Mediterranean and Continental regions of Turkey. For this purpose, three different meteorology stations (Antalya airport, Elmalı, Teffenni) from the Mediterranean region with different distances and elevations compared to sea level and one station (Ankara) far from the Mediterranean region with continental climate were selected. The statistical approach used to compare observed and estimated values in this study was determination coefficient (R2), Nash-Sutcliffe Efficiency (NSE), Root Mean Square Error (RMSE), Normalized Root Mean Square Error (NRMSE), and Mean Bias Error (MBE). The results showed a high relation between the POWER reanalysis dataset and observed data for all parameters except wind speed. For daily maximum, minimum and mean temperature, the R2 and NSE achieved higher than 0.91 and 0.88 respectively, while the mean bias error MBE ranged between -3 °C up to +2 °C and the RMSE was less than 4 °C in all stations. Additionally, POWER estimated data correlation accuracy for temperature variables increased toward higher altitudes in the study area. Similarly, this performance was followed by relative humidity, increasing relation accuracy toward higher elevated regions. The R2 was higher than 0.69 in higher altitudes and less than 0.4 in lower elevations. The MBE for relative humidity ranges -2% in Antalya to +9% in Ankara, and the RMSE attained less than 13.81% in all regions. The POWER daily wind speed did not show relation with observed data without adjusting for elevation and seasonal bias correction. Overall, it was concluded that the NASA POWER dataset could predict temperature and relative humidity over study area and give a promising result if used in research, water, and agricultural decision-making where observation data are not available.

show abstract

Section: Introductionmentioning

confidence: 99%

Evaluation of NASA POWER Climatic Data against Ground-Based Observations in The Mediterranean and Continental Regions of Turkey

HALİMİ

Karaca

BÜYÜKTAŞ³

2023

Tekirdağ Ziraat Fakültesi Dergisi

View full text Add to dashboard Cite

show abstract

“…Las condiciones atmosféricas: radiación, temperatura, la humedad atmosférica y la velocidad del viento influyen sobre el proceso de la evapotranspiración (Allen et al, 2006). La precipitación y la temperatura influyen en cambios bruscos de la ET ya que se ha llegado a determinar una relación de datos entre sí (Kuzay et al, 2022).…”

Section: Análisis De Información Climáticaunclassified

Determinación de la brecha hídrica en la distribución de caudales a partir de la cuantificación de la demanda hídrica por uso de suelo. Estudio de caso del canal de riego Tumbaco, Pichincha, Ecuador

Cando Bautista,

Espinosa Marín,

Bastidas Guevara

et al. 2024

SIEMBRA

View full text Add to dashboard Cite

En Ecuador, la administración, operación y mantenimiento de sistemas de riego se encuentra gestionada por juntas de usuarios, las cuales distribuyen el recurso hídrico enfrentando diferentes problemáticas relacionadas con el desconocimiento de la demanda hídrica de los cultivos y condiciones propias del sistema, lo cual crea una brecha entre la oferta y la demanda. Esta investigación propone el desarrollo de una metodología de cálculo del requerimiento hídrico en el canal de riego Tumbaco, con la finalidad de optimizar este recurso, mediante la incorporación de variables de superficie de tierra cultivable, tipo de cultivo, factores edáficos y climáticos para cuantificar adecuadamente los caudales que deben ser entregados en los diferentes sectores de influencia directa del canal. La metodología propuesta es adaptable a diversos territorios y han sido consideradas diferentes estrategias de aplicación de agua, de acuerdo con la realidad de cada sistema. Entre los principales resultados se obtuvo que la irrigación de los ramales que conforman el sistema se encuentra sobreestimada; en el caso del ramal Alangasí-La Merced se establece un requerimiento de 28,80 l s ha-1. Al compararlo con el caudal entregado por la junta de riego, se observa que se distribuye un 247,22 % más de lo necesario, el ramal Chichipata 241,66 l s ha-1 con +44,83 %, ramal Churoloma 132,79 l s ha-1 +35,55 %, ramal El Pueblo 97,3 l s ha-1 +54,16 %, Ilaló 220,83 l s ha-1 +44,91 %, La Viña 68,34 l s ha-1 +119,49 % y San Blas 20,13 l s ha-1 +496,12 %. La metodología desarrollada se puede aplicar para gestionar programas de manejo sustentable de agua a gran escala y como modelo de gestión del recurso hídrico, así como servir de línea base para establecer modelos econométricos en la recaudación de tarifas de cobro por consumo de agua de riego.

show abstract

“…RS technology not only provides continuous and large spatial coverage on a large scale (Aksu & Arikan 2017;Oguz 2015) but also provides precision and confidence in the final products. For this reason, RS techniques have been widely applied for drought monitoring (Aksu et al 2022), precipitation (P), temperature, water resource, and agricultural monitoring (Kuzay et al 2022) in large-or small-scale areas. RS also provides availability of information (freely) on crop growth and health status to the farmers (Jayanth et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Cropping pattern classification using artificial neural networks and evapotranspiration estimation in the Eastern Mediterranean region of Turkey

Alsenjar

Çetin

Aksu

et al. 2022

J Agr Sci-Tarim Bili

View full text Add to dashboard Cite

Determination of cropping pattern is a very important factor in quantifying irrigation water requirements at a catchment scale. In this regard, remote sensing is a robust tool for generating spatial-temporal variation of crops. This study focuses on crop classification by using remotely sensed data coupled with ground truth data. Therefore, this study aimed at both classifying each crop type and calculating crop evapotranspiration (ETc) based on reference evapotranspiration (ETo) by using the Penman-Monteith evapotranspiration model and crop coefficient (Kc). ETo was estimated by using data from two meteorological stations located in the study area. To this end, this study was conducted in Akarsu Irrigation District (≈95 km2), a sub-catchment in the Lower Seyhan Plain (LSP), in the 2021 hydrological year. Ground truth data were collected in the two growing seasons. The ENVI program was used to classify crop types from Sentinel 2A-2B satellite images with 10-m by 10-m spatial resolution. Image analysis results demonstrated that bare soil and citrus made up more than half of the area in the winter season, while corn and citrus were preponderant in summer. In addition, the total reference evapotranspiration and crop evapotranspiration were about 1308 mm and 890 mm, respectively in the 2021 water year. ETc values for second crop soybean, first crop corn, wheat, and citrus showed agreement with previous studies of direct methods of evapotranspiration in the Cukurova region. Furthermore, research findings led us to conclude that using remotely sensed satellite data in cropping pattern determination is promising in identifying the crops grown in large agricultural lands. Moreover, remote sensing images can be used to classify accurately crops in the winter and summer seasons, and this study has expanded the application value of remotely sensed data in large-scale irrigation schemes.

show abstract

Determining the relationship of evapotranspiration with precipitation and temperature over Turkey

Cited by 5 publications

References 9 publications

Evaluation of NASA POWER Climatic Data against Ground-Based Observations in The Mediterranean and Continental Regions of Turkey

Evaluation of NASA POWER Climatic Data against Ground-Based Observations in The Mediterranean and Continental Regions of Turkey

Determinación de la brecha hídrica en la distribución de caudales a partir de la cuantificación de la demanda hídrica por uso de suelo. Estudio de caso del canal de riego Tumbaco, Pichincha, Ecuador

Cropping pattern classification using artificial neural networks and evapotranspiration estimation in the Eastern Mediterranean region of Turkey

Contact Info

Product

Resources

About