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Climate Patterns and Their Influence in the Cordillera Blanca, Peru, Deduced from Spectral Analysis Techniques



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Fernández Sánchez, Adrián and Úbeda Palenque, Jose and Tanarro García, Luis Miguel and Naranjo Fernández, Nuria and Álvarez Aldegunde, José Antonio and Iparraguirre, Joshua (2022) Climate Patterns and Their Influence in the Cordillera Blanca, Peru, Deduced from Spectral Analysis Techniques. Atmosphere, 13 (12). p. 2107. ISSN 2073-4433

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Official URL: https://doi.org/10.3390/atmos13122107


Climate patterns are natural processes that drive climate variability in the short, medium, and long term. Characterizing the patterns behind climate variability is essential to understand the functioning of the regional atmospheric system. Since investigations typically reveal only the link and extent of the influence of climate patterns in specific regions, the magnitude of that influence in meteorological records usually remains unclear. The central Peruvian Andes are affected by most of the common climate patterns of tropical areas, such as Intertropical Convergence Zone (ITCZ), Sea Surface Temperature (SST), solar irradiance, Madden Julian Oscillation (MJO), Pacific Decadal Oscillation (PDO), and El Niño Southern Oscillation (ENSO). They are also affected by regional processes that are exclusive from South America, such as the South American Low-Level Jet (SALLJ), South American Monsoon System (SAMS), Bolivian High (BH), and Humboldt Current. The aim of this research is to study the climate variability of precipitation, maximum and minimum temperatura records over Cordillera Blanca (Peru), and its relationship with the intensity and periodicity of the common climate patterns that affect this region. To achieve this aim, a spectral analysis based on Lomb’s Periodogram was performed over meteorological records (1986–2019) and over different climate pattern indexes. Results show a coincidence in periodicity between MJO and SALLJ, with monthly cycles for precipitation and temperature (27-day, 56-day, and 90-day cycles). Moreover, the most intense periodicities, such as annual (365 days) and biannual (182 and 122 days) cycles in meteorological variables, possibly would be led by ITCZ and ENSO together, as well as a combination of the Humboldt Current and SALLJ. Additionally, interannual periodicities (3-year, 4.5-year, 5.6–7-year and 11-year cycles) would have coincidence with the ENSO–solar combination, while the longest cycles (16 years) could match PDO variability.

Item Type:Article
Uncontrolled Keywords:Patrones climáticos, Perú, Climatología
Palabras clave (otros idiomas):Peru climate; climate patterns; spectral analysis; Lomb’s periodogram; climatology; ENSO; ITCZ; SALLJ
Subjects:Humanities > Geography > Meteorology
Humanities > Geography > Geographical information systems
ID Code:77222
Deposited On:30 Mar 2023 09:46
Last Modified:17 Apr 2023 14:09

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