ASSESSMENT OF METEOROLOGICAL VARIABLES TO CHARACTERIZE THE CLIMATE OF THE CUYO REGION (ARGENTINA)

Climate change and evident global warming make climate characterization at a regional scale essential to know the climate of a region, given that its variability could affect the economic activities. In this context, arid areas are relevant because they are vulnerable to climate variability effects....

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Autor principal: Ferrelli, Federico
Formato: Artículo revista
Lenguaje:Español
Publicado: Facultad de Humanidades Universidad Nacional del Comahue 2022
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Acceso en línea:http://revele.uncoma.edu.ar/index.php/geografia/article/view/3718
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id I22-R128-article-3718
record_format ojs
institution Universidad Nacional del Comahue
institution_str I-22
repository_str R-128
container_title_str Repositorio de Revistas Electrónicas REVELE (UNComahue)
language Español
format Artículo revista
topic Datos meteorológicos, correcciones estadísticas, caracterización climática, Cuyo.
spellingShingle Datos meteorológicos, correcciones estadísticas, caracterización climática, Cuyo.
Ferrelli, Federico
ASSESSMENT OF METEOROLOGICAL VARIABLES TO CHARACTERIZE THE CLIMATE OF THE CUYO REGION (ARGENTINA)
topic_facet Datos meteorológicos, correcciones estadísticas, caracterización climática, Cuyo.
author Ferrelli, Federico
author_facet Ferrelli, Federico
author_sort Ferrelli, Federico
title ASSESSMENT OF METEOROLOGICAL VARIABLES TO CHARACTERIZE THE CLIMATE OF THE CUYO REGION (ARGENTINA)
title_short ASSESSMENT OF METEOROLOGICAL VARIABLES TO CHARACTERIZE THE CLIMATE OF THE CUYO REGION (ARGENTINA)
title_full ASSESSMENT OF METEOROLOGICAL VARIABLES TO CHARACTERIZE THE CLIMATE OF THE CUYO REGION (ARGENTINA)
title_fullStr ASSESSMENT OF METEOROLOGICAL VARIABLES TO CHARACTERIZE THE CLIMATE OF THE CUYO REGION (ARGENTINA)
title_full_unstemmed ASSESSMENT OF METEOROLOGICAL VARIABLES TO CHARACTERIZE THE CLIMATE OF THE CUYO REGION (ARGENTINA)
title_sort assessment of meteorological variables to characterize the climate of the cuyo region (argentina)
description Climate change and evident global warming make climate characterization at a regional scale essential to know the climate of a region, given that its variability could affect the economic activities. In this context, arid areas are relevant because they are vulnerable to climate variability effects. In order to study the climate, it is necessary to have meteorological series for at least 30 years. Sometimes they are scarce or incomplete. For these reasons, numerical climate models emerge as a tool that favors the generation of this information. This study aimed at studying the adjustment between the data of climatic variables obtained from the Renalysis and those observed in situ, considering a climatic (1960-2020) and a seasonal scale. To do that, it was analyzed monthly data series of air temperature, relative humidity, and precipitation measured in situ from nine meteorological stations. Then, we compared them with those acquired from the Reanalysis. Two-time scales of analysis were applied. In a first instance, the data was contrasted and statistically evaluated on a climatic scale, considering 1960-2020 period. Then, seasonal adjustments at the regional scale were studied. As a result, it was obtained that air temperature and precipitation were the variables that presented suitable statistical adjustments in both time scales. Relative humidity did not have significant results. It was shown that it is possible to correct the Reanalysis data for the climatic characterization of Cuyo Region. The information generated represents a solid database for designing a land management plan framed within sustainable development guidelines.
publisher Facultad de Humanidades Universidad Nacional del Comahue
publishDate 2022
url http://revele.uncoma.edu.ar/index.php/geografia/article/view/3718
work_keys_str_mv AT ferrellifederico assessmentofmeteorologicalvariablestocharacterizetheclimateofthecuyoregionargentina
AT ferrellifederico evaluaciondevariablesmeteorologicasparalacaracterizacionclimaticadelaregiondecuyoargentina
first_indexed 2022-08-19T20:23:40Z
last_indexed 2022-08-19T20:23:40Z
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