Development of high-resolution annual climate surfaces for Turkey using ANUSPLIN and comparison with other methods
Yener, İsmet
Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM, publicado en Atmósfera, y cosechado de Revistas UNAM
dor_id: 4140646
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336.#.#.b: article
336.#.#.3: Artículo de Investigación
336.#.#.a: Artículo
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883.#.#.a: Revistas UNAM
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883.#.#.q: Dirección General de Publicaciones y Fomento Editorial
850.#.#.a: Universidad Nacional Autónoma de México
856.4.0.u: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/53189/46898
100.1.#.a: Yener, İsmet
524.#.#.a: Yener, İsmet (2023). Development of high-resolution annual climate surfaces for Turkey using ANUSPLIN and comparison with other methods. Atmósfera; Vol. 37, 2023; 425-444. Recuperado de https://repositorio.unam.mx/contenidos/4140646
245.1.0.a: Development of high-resolution annual climate surfaces for Turkey using ANUSPLIN and comparison with other methods
502.#.#.c: Universidad Nacional Autónoma de México
561.1.#.a: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM
264.#.0.c: 2023
264.#.1.c: 2023-03-29
653.#.#.a: climate; spatial modeling; inverse distance weighting; kriging; lapse rate; multilinear regression; Turkey
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884.#.#.k: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/53189
001.#.#.#: 022.oai:ojs.pkp.sfu.ca:article/53189
041.#.7.h: eng
520.3.#.a: Many climate models have been developed due to the importance of the effects of climatic factors on the physical and biological environment, e.g., rock weathering, species distribution, and growth patterns of plants. Accurate, reliable climate surfaces are necessary, especially for countries such as Turkey, which has a complex terrain and limited monitoring stations. The accuracy of these models mainly depends on the spatial modeling methods used. In this study, the Australian National University Spline (ANUSPLIN) model was used to develop climate surfaces and was compared with other methods such as inverse distance weighting, co-kriging, lapse rate, and multilinear regression. The results from the developed climate surfaces were validated using three methods: (1) diagnostic statistics from the surface fitting model, such as signal, mean, root mean square predictive error, root mean square error estimate, root mean square residual of the spline, and estimate of the standard deviation of the noise in the spline; (2) a comparison of error statistics between interpolated surfaces and the withheld climate data from 81 stations; and (3) a comparison with other interpolation methods using model performance metrics, such as mean absolute error, mean error, root mean square error, and R2adj. The most accurate results were obtained by the ANUSPLIN model. It explained 95, 88, 92, and 71% of the variance in annual mean, minimum and maximum temperature, and total precipitation, respectively. The mean absolute error of these models was 0.63, 1.16, and 0.72 ºC, as well as 54.82 mm. The generated climate surfaces, having a spatial resolution of 0.005º × 0.005º could contribute to the fields of forestry, agriculture, and hydrology.
773.1.#.t: Atmósfera; Vol. 37 (2023); 425-444
773.1.#.o: https://www.revistascca.unam.mx/atm/index.php/atm/index
022.#.#.a: ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236
310.#.#.a: Trimestral
300.#.#.a: Páginas: 425-444
264.#.1.b: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM
doi: https://doi.org/10.20937/ATM.53189
handle: 04124628b8a5e950
harvesting_date: 2023-06-20 17:00:00.0
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last_modified: 2023-06-20 17:00:00
license_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode.es
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Yener, İsmet
Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM, publicado en Atmósfera, y cosechado de Revistas UNAM
Yener, İsmet (2023). Development of high-resolution annual climate surfaces for Turkey using ANUSPLIN and comparison with other methods. Atmósfera; Vol. 37, 2023; 425-444. Recuperado de https://repositorio.unam.mx/contenidos/4140646