dor_id: 4134799

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la revista "Atmósfera", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Consejo Nacional de Ciencia y Tecnología (CONACyT); Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Scientific Electronic Library Online (SciELO); SCOPUS, Web Of Science (WoS); SCImago Journal Rank (SJR)

561.#.#.u: https://www.atmosfera.unam.mx/

561.#.#.a: no

650.#.4.x: Físico Matemáticas y Ciencias de la Tierra

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://www.revistascca.unam.mx/atm/index.php/atm/index

351.#.#.b: Atmósfera

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

270.1.#.d: México

590.#.#.b: Concentrador

883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural

883.#.#.1: https://www.publicaciones.unam.mx/

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/53124/46918

100.1.#.a: Soto, Victor; Alanís, José Luis; Pech, Juan Manuel; Chagoya, Jorge Luis

524.#.#.a: Soto, Victor, et al. (2023). Distribution and spatio-temporal variation of temperature and precipitation in Sierra de Otontepec Ecological Reserve, Veracruz, Mexico, through GIS modeling. Atmósfera; Vol. 37, 2023; 53-70. Recuperado de https://repositorio.unam.mx/contenidos/4134799

245.1.0.a: Distribution and spatio-temporal variation of temperature and precipitation in Sierra de Otontepec Ecological Reserve, Veracruz, Mexico, through GIS modeling

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: 2023-01-17

653.#.#.a: Climate cartography; climate modeling; Intra-annual Climate variability; mountain climatology; Sierra de Otontepec

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC 4.0 Internacional, https://creativecommons.org/licenses/by-nc/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico editora@atmosfera.unam.mx

884.#.#.k: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/53124

001.#.#.#: 022.oai:ojs.pkp.sfu.ca:article/53124

041.#.7.h: eng

520.3.#.a: Sierra de Otontepec Ecological Reserve is an isolated mountain in the Coastal Plain of the Gulf of Mexico with high scientific relevance. However, it lacks climatological information to support the studies of the ecosystems that have been carried out in recent years. GIS modeling characterized its climatology, and climate variability scenarios were created for the period 1981-2010. From temperature and precipitation data recorded in situ, vertical gradients of both variables were obtained in relation to the orography of the zone. The records were correlated with data from nearby weather stations so that by using a DEM, it was possible to obtain raster layers with a resolution of 15 meters per pixel (MPP) for temperature in the summer and winter seasons; and for precipitation in the rainy and dry seasons; the annual value was also calculated for both variables. The climatic variability detected in the zone indicates a gradual increase in air temperature over time and a spatial variation in the distribution of precipitation. The spatial resolution of the modeling is precisely adjusted to the relief of the mountain, allowing the flora and fauna elements found within each pixel to be analyzed with a good level of detail. This work represents the most viable and effective alternative to estimate temperature and precipitation values in mountain systems lacking climatological stations, demonstrating that beyond providing climate information, which is increasingly necessary for ecosystems, it is possible to model their Spatio-temporal dynamics to understand the complex climate variability of our days.

773.1.#.t: Atmósfera; Vol. 37 (2023); 53-70

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: 53-70

264.#.1.b: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM

doi: https://doi.org/10.20937/ATM.53124

handle: 760b506f43a8900b

harvesting_date: 2023-06-20 16:00:00.0

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