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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Arid Environments
Article . 2016 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Climate complexity in the Central Andes: A study case on empirically-based local variations in the Dry Puna

Authors: Jorgelina Marino; Claudio Sillero-Zubiri; Mark New; Mark New; Magdalena Bennett;

Climate complexity in the Central Andes: A study case on empirically-based local variations in the Dry Puna

Abstract

Abstract Mountains are thought to be especially sensitive to climate change, but empirical evidence is scarce as there are few meteorological records from high elevations. As a result, predicting climatic patterns and trends in mountains is a challenge. We analysed available temperature and precipitation records to assess and understand local variation in the climate of the driest region of the Andes. Records from 28 stations, located above 2300 m in the Dry Puna in Bolivia and Chile, revealed no general statistical trends between 1980 and 2010, and high variability across localities. Warming was evident at 2300 m towards the Atacama Desert, and again in the high plateau above 4000 m. The precipitation revealed increasing trends only in the north-eastern portion of the study area, which is under the humid influence from the Amazon. The effect of ENSO was evident along the western slopes of the Andes, reflecting the influence of the Pacific. While meteorological data from high elevations is limited, they provide valuable empirical evidence of climatic variability in the Dry Puna, which can be contrasted against current gridded climate data. Such comparisons reveal that local-scale variations in mountain climates are not reflected in interpolated global data sets at coarser spatial scales.

Country
United Kingdom
Related Organizations
Keywords

Temperature, Precipitation, Mountains, Journal Article, Climate change, Highlands, ENSO, SBTMR

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    17
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Average
Top 10%
Green