Assestment ofmeteorological variables for the chacterization of Cuyo region (Argentina)
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Abstract
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.
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