Topoclimatic Zoning and Representative Areas as Determined by an Automatic Weather Station (AWS) Network in the Atacama Region, Chile

Climate information is crucial to the management and profitability of key development sectors involving agriculture, hydrologic resources, natural hazards, and energy. Climate knowledge, real-time weather information, and climate predictions reliability all contribute to the planning and management...

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Bibliographic Details
Main Authors: Donna Cortez, Rodrigo Padilla, Sebastián Herrera, Juan Manuel Uribe, Manuel Paneque
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/11/6/611
Description
Summary:Climate information is crucial to the management and profitability of key development sectors involving agriculture, hydrologic resources, natural hazards, and energy. Climate knowledge, real-time weather information, and climate predictions reliability all contribute to the planning and management of socioeconomic activities and sustainable development. Automatic weather stations (AWSs) are remotely operated and facilitate the recording of meteorological information for unoccupied and out-of-reach areas. However, the representative area of the Atacama region is unknown, whose uniqueness is largely determined by the topography of the terrain. This paper describes the topoclimatic zoning of the Atacama region, based on the identification of homogeneous climatic and topographic areas, using climatic information, principal component analysis, and cluster analysis. Topoclimatic zoning was used to determine the representative area of the AWSs. Sixty-one regional topographic units were identified as equivalent to the representative area of the AWS. The directly represented area was estimated at 2365 km<sup>2</sup> (3.13% of the regional total), the indirectly represented area was 8725 km<sup>2</sup> (11.53%), and the unrepresented area was 64,561 km<sup>2</sup> (85.34%). This large unrepresented area displays potential zones for future AWS installations, which can improve both the efficiency of the regional meteorological network and access to quality climate information.
ISSN:2073-4433