Gap Filling and Quality Control Applied to Meteorological Variables Measured in the Northeast Region of Brazil

Atmosphere

Maria Cristina Lemos da Silva¹  Rafaela Lisboa Costa¹  David Duarte Cavalcante Pinto¹  Heliofábio Barros Gomes¹  Rodrigo Lins da Rocha Júnior¹  Helber Barros Gomes¹  Fabrício Daniel dos Santos Silva¹  Dirceu Luís Herdies² 

[1] Institute of Atmospheric Sciences, Federal University of Alagoas, Maceió 57072-900, Brazil;National Institute for Space Research, Cachoeira Paulista, São Paulo 12630-000, Brazil;

关键词: time series;    missing values;    data quality control;    verification;    climate analysis;   

DOI  :  10.3390/atmos12101278

来源: DOAJ

【 摘 要 】

In this work, we used the MICE (Multivariate Imputation by Chained Equations) technique to impute missing daily data from six meteorological variables (precipitation, temperature, relative humidity, atmospheric pressure, wind speed and insolation) from 96 stations located in the northeast region of Brazil (NEB) for the period from 1961 to 2014. We then applied tests with a quality control system (QCS) developed for the detection, correction and possible replacement of suspicious data. Both the applied gap filling technique and the QCS showed that it was possible to solve two of the biggest problems found in time series of daily data measured in meteorological stations: the generation of plausible values for each variable of interest, in order to remedy the absence of observations, and how to detect and allow proper correction of suspicious values arising from observations.

【 授权许可】

Unknown