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Abstract:

The present paper describes the quality-control component of an automatic procedure (APACH: A Procedure for Automated Quality Control and Homogenization of Weather Station Data) developed to control quality and homogenize the historical daily temperature and precipitation data from meteorological stations. The quality-control method is based on a set of decision-tree algorithms analyzing separately precipitation and minimum and maximum temperature. All our tests are non-parametric and therefore are potentially useful in regions or countries presenting different climates as those observed in Argentina. The method is applied to the 1959-2005 historical daily database of the Argentine National Weather Service. Our results are coherent with the history of the Weather Service and more specifically with the history of implementation of systematized quality control processes. In temperature, our method detects a larger number of suspect values before 1967 (when there was no quality control) and after 1997 (when only real-time quality control had been applied). In precipitation, the detection of error in extreme precipitations is complex, but our method clearly detected a strong decrease in the number of potential outliers after 1976 when the National Weather Service was militarized, and the network was strongly reduced, focusing more on airport weather stations. Also in precipitation, we analyze in detail the long dry sequences and are able to identify potential long erroneous sequences. This is important for the use of the data for hydrological or agricultural impact studies. Finally, all the data are flagged with codes representing the path followed by the record in our decision-tree algorithms. While each code is associated to one of the categories ("Useful", "Need-Check", "Doubtful" or "Suspect"), the final user is free to redefine such category-assignment. © Springer Science + Business Media B.V. 2009.

Registro:

Documento: Artículo
Título:A procedure for automated quality control and homogenization of historical daily temperature and precipitation data (APACH): Part 1: Quality control and application to the Argentine weather service stations
Autor:Boulanger, J.-P.; Aizpuru, J.; Leggieri, L.; Marino, M.
Filiación:LOCEAN, UMR CNRS/IRD/UPMC, Tour 45-55/Etage 4/Case 100, UPMC, 4 Place Jussieu, 75252 Paris Cedex 05, France
Departamento de Ciencias de la Computación, Facultad de Ciencias Exactas y Naturales, University of Buenos Aires, Buenos Aires, Argentina
Servicio Meteorológico Nacional, 25 de Mayo 658-(C1002ABN), Buenos Aires, Argentina
Departamento de Ciencias de la Atmosfera y los Oceanos, Facultad de Ciencias Exactas y Naturales, University of Buenos Aires, Buenos Aires, Argentina
Palabras clave:Agricultural impacts; Argentina; Automatic procedures; Control components; Control methods; Control quality; Daily temperatures; Decision-tree algorithm; Extreme precipitation; Maximum temperature; Meteorological station; National Weather Services; Non-parametric; Precipitation data; Real time quality control; Weather services; Weather stations; Customer satisfaction; Error detection; Quality assurance; Total quality management; Weather information services; Quality control; algorithm; database; diurnal variation; meteorology; precipitation (climatology); quality control; temperature profile; weather station; Argentina
Año:2010
Volumen:98
Número:3
Página de inicio:471
Página de fin:491
DOI: http://dx.doi.org/10.1007/s10584-009-9741-9
Título revista:Climatic Change
Título revista abreviado:Clim. Change
ISSN:01650009
CODEN:CLCHD
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01650009_v98_n3_p471_Boulanger

Referencias:

  • Alexandersson, H., Moberg, A., Homogenization of Swedish temperature data. Part 1: Homogeneity test for linear trends (1997) Int J Climatol, 17, pp. 25-34
  • Brandsma, T., Können, G.P., Application of nearest-neighbor resampling for homogenizing temperature records on a daily to sub-daily level (2006) Int J Climatol, 26, pp. 75-89. , doi:10.1002/joc.1236
  • Caussinus, H., Mestre, O., Detection and correction of artificial shifts in climate series (2004) Appl Stat, 53, pp. 405-425
  • Haylock, M., Peterson, T.C., Alves, L.M., Ambrizzi, T., Anunciação, Y.M.T., Baez, J., Barros, V.R., Vincent, L.A., Trends in total and extreme South American rainfall 1960-2000 and links with sea surface temperature (2006) J Climate, 19, pp. 1490-1512
  • McKee, T.B., Doesken, N.J., Kleist, J., The relationship of drought frequency and duration to time scales (1993) Proc. Eighth Conf. Of Applied Climatology, pp. 179-184. , Anaheim, CA: Amer Meteor Soc
  • Moberg, A., Alexandersson, H., Homogenization of Swedish temperature data. Part II: Homogenized gridded air temperature compared with a subset of global gridded air temperature since 1861 (1997) Int J Climatol, 17, pp. 35-54
  • Rusticucci, M., Barrucand, M., Observed trends and changes in Temperature Extremes over Argentina (2004) J Climate, 17 (20), pp. 4099-4107
  • Rusticucci, M., Renom, M., Variability and trends in indices of quality controlled daily temperature extremes in Uruguay (2007) Int J Climatol, , doi:10.1002/joc.1607
  • Thornton, P.E., Running, S.W., White, M.A., Generating surfaces of daily meteorological variables over large regions of complex terrain (1997) J Hydrol, 190, pp. 214-251
  • Vejen, F., Jacobsson, C., Fredriksson, U., Moe, M., Andresen, L., Hellsten, E., Rissanen, P., Arason, B., (2002) Quality Control of Meteorological Observations: Automatic Methods used in the Nordic Countries, p. 111. , report 08/2002. KLIMA
  • Vincent, L.A., Peterson, T.C., Barrros, V.R., Marino, M.B., Rusticucci, M., Carrasco, G., Ramirez, E., Karoly, D., Observed trends in indices of daily temperature extremes in South America 1960-2000 (2005) J Climate, 18, pp. 5011-5023
  • Wijngaard, J.B., Klein Tank, A.M.G., Können, G.P., Homogeneity of 20th century European daily temperature and precipitation series (2003) Int J Climatol, 23, pp. 679-692

Citas:

---------- APA ----------
Boulanger, J.-P., Aizpuru, J., Leggieri, L. & Marino, M. (2010) . A procedure for automated quality control and homogenization of historical daily temperature and precipitation data (APACH): Part 1: Quality control and application to the Argentine weather service stations. Climatic Change, 98(3), 471-491.
http://dx.doi.org/10.1007/s10584-009-9741-9
---------- CHICAGO ----------
Boulanger, J.-P., Aizpuru, J., Leggieri, L., Marino, M. "A procedure for automated quality control and homogenization of historical daily temperature and precipitation data (APACH): Part 1: Quality control and application to the Argentine weather service stations" . Climatic Change 98, no. 3 (2010) : 471-491.
http://dx.doi.org/10.1007/s10584-009-9741-9
---------- MLA ----------
Boulanger, J.-P., Aizpuru, J., Leggieri, L., Marino, M. "A procedure for automated quality control and homogenization of historical daily temperature and precipitation data (APACH): Part 1: Quality control and application to the Argentine weather service stations" . Climatic Change, vol. 98, no. 3, 2010, pp. 471-491.
http://dx.doi.org/10.1007/s10584-009-9741-9
---------- VANCOUVER ----------
Boulanger, J.-P., Aizpuru, J., Leggieri, L., Marino, M. A procedure for automated quality control and homogenization of historical daily temperature and precipitation data (APACH): Part 1: Quality control and application to the Argentine weather service stations. Clim. Change. 2010;98(3):471-491.
http://dx.doi.org/10.1007/s10584-009-9741-9