Spatial validation of clinatological data and homogeneity tests: The case of Veracruz, Mexico
Por:
Alberto Guajardo-Panes, Rafael, Rebeca Granados-Ramirez, Guadalupe, Sanchez-Cohen, Ignacio, Diaz-Padilla, Gabriel, Barbosa-Moreno, Finlandia
Publicada:
1 sep 2017
Resumen:
Given that the reliability of climate information is crucial for any
type of research, it is important to use tools and methodologies that
identify erroneous data resulting from data collection, faulty
instrument sensors, transcription of information, and the relocation of
stations. This paper describes a methodology to validate and identify
anomalous records of rainfall and low and high daily temperatures. It
presents: the development of a methodology to select stations based on
the least possible amount of information, and verify its logical
coherence; the development of a spatial validation process; and the use
of the Pettitt and Buishand Standard Normal Homogeneity Test (SNHT) to
validate climatological data and to test the homogeneity of data
recorded at National Weather Service (SMN) stations located in the state
of Veracruz and surrounding areas. In terms of rainfall data, we found
that 72% of the stations met the homogeneity criterion, while for low
and high temperatures only 31 and 30% met the criterion. Therefore, the
data may be homogeneous, without taking into account seasonal cycles or
conditions. Nevertheless, it is recommended that the suggested tests be
used, taking into account cold and/or hot periods and any possible
relationships with the dependence on rainfall (wet and/or dry periods).
Filiaciones:
Alberto Guajardo-Panes, Rafael:
Inst Nacl Invest Forestales Agr & Pecuarias, Mexico City, DF, Mexico
Rebeca Granados-Ramirez, Guadalupe:
Univ Nacl Autonoma Mexico, Mexico City, DF, Mexico
Sanchez-Cohen, Ignacio:
Inst Nacl Invest Forestales Agr & Pecuarias, Mexico City, DF, Mexico
Diaz-Padilla, Gabriel:
Inst Nacl Invest Forestales Agr & Pecuarias, Mexico City, DF, Mexico
Barbosa-Moreno, Finlandia:
Inst Nacl Invest Forestales Agr & Pecuarias, Mexico City, DF, Mexico
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