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Ertaş, Mustafa Cansaran

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Profile URL
https://hdl.handle.net/20.500.14901/1522
Name Variants
Ertaş Mustafa Cansaran
Ertaş Cansaran M.
Ertaş, CM
Job Title
Dr. Öğr. Üyesi
Email Address
cansaran.ertas@erzurum.edu.tr
Main Affiliation
4.2. İnşaat Mühendisliği Bölümü
Status
Website
https://erzurum.edu.tr/personel/3981/mustafa-cansaran-ertas#gsc.tab=0
ORCID ID
0000-0002-6376-5516
Scopus Author ID
57216976167
Turkish CoHE Profile ID
58483
Google Scholar ID
3TEorVYAAAAJ
WoS Researcher ID
HSB-2015-2023

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Cuadernos de Investigacion Geografica1
Journal of Mountain Science1
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  • Thumbnail Image
    Article
    Inter-Comparison of Field Snow Measurements Using Different Instruments in Türkiye
    (Science Press, 2024) Ertas, M. Cansaran; Sorman, A. Arda
    Snow is important in T & uuml;rkiye especially in the mountainous eastern areas where it may stay on the ground for more than half of the year. This region plays a vital role in feeding the water resources of the trans-boundary Euphrates-Tigris Basin, supporting crucial dams for water supply, irrigation and energy production. Thus, easy, frequent, correct and economical ways of measuring the snowpack is crucial. The snow properties at specific locations in the mountainous eastern regions over the two snow seasons (2018 and 2019) were studied by using different instruments and techniques, snow pit (box/cylinder/wedge cutter types), snow tube (Federal Sampler) and SnoTel (Snowpack Analyzer). The results point out a 1.7%-7.1% variation between different cutter type snow density measurements within snow pit analysis and the long-term utilized snow tube observations show a closer relation to box/cylinder type cutters. As for the continuous SnoTel observations, a variation of 2.4%-9.8% with various cutter types and a 5.9% difference regarding the snow tube density results are detected. These findings indicate a close range among different instruments, but it is the best when all three systems complement each other to characterize the snowpack effectively in the complex terrain since each has its own advantages.
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    Article
    A Performance Assessment of Gridded Snow Products in the Upper Euphrates
    (University of Rioja, Service of Publications, 2023) Alonso-Gonzalez, Esteban; Lopez-Moreno, J. Ignacio; Ertas, M. Cansaran; Sensoy, Aynur; Sorman, Ali Arda
    . Snow observations are important in many mountain areas to quantify the water stored in snowpacks and to predicting runoff during the melting period. In this study we compare the performance of five different regional-scale gridded snow products to reproduce snow water equivalent (SWE) in the Upper Euphrates region (Karasu Basin, 10,275 km2), with observations from automatic weather stations in the catchment through Taylor diagrams. The products compared are the ERA5, ERA5-Land, MERRA-2, snow data from a dynamical downscaling of ERA-5 (period 2000-2018) and SWE generated from microwave satellite data (SWE-E(H13) period 2013-2015 product of the EUMETSAT H SAF project). The H13 product presented deficiencies in terms of not being able to reproduce the spatial and temporal variability of the snowpack. ERA-5 and, in particular, ERALand products, at 30 and 9 km grid size, respectively, showed good performance in reproducing snow evolution compared to four available observation sites. MERRA2 at 50 km resolution showed lower skills compared to the above-mentioned products. Resulting snow data from WRF at 10 km resolution did not show any improvement with respect to the global datasets. The impossibility of testing different configurations due to the lack of observations to compare and the computational constraints to test different parametrizations may be the reasons to explain the low performance although they remain speculative. All the gridded datasets showed good performance in reproducing snow duration over the basin, compared to remotely sensed data. Results highlight ERA-Land dataset as a very promising tool for regional snow studies in mountainous regions with limited observations, in a cost-effective way.