A comparative study of maximum and minimum temperatures over Argentina: NCEP-NCAR reanalysis versus station data

This paper compares surface-station temperature observations over Argentina with gridpoint analyses available in the NCEP-NCAR reanalysis dataset. The primary objective is to determine whether the maximum and minimum surface temperatures from the reanalysis can be used to compute statistics on the o...

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Autor principal: Rusticucci, M.M
Otros Autores: Kousky, V.E
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: American Meteorological Society 2002
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Acceso en línea:Registro en Scopus
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100 1 |a Rusticucci, M.M. 
245 1 2 |a A comparative study of maximum and minimum temperatures over Argentina: NCEP-NCAR reanalysis versus station data 
260 |b American Meteorological Society  |c 2002 
270 1 0 |m Rusticucci, M.M.; Dept. Ciencias de la Atmos. Oceanos, FCEN, UBA, Ciudad Universitaria Pab II, Buenos Aires 1428, Argentina; email: mati@at.fcen.uba.ar 
506 |2 openaire  |e Política editorial 
504 |a Kalnay, E., The NCEP/NCAR 40-year reanalysis project (1996) Bull. Amer. Meteor. Soc, 77, pp. 437-471. , Coauthors 
504 |a Kistler, R., The NCEP-NCAR 50-year reanalysis: Monthly means CD-ROM and documentation (2001) Bull. Amer. Meteor. Soc, 82, pp. 247-267. , Coauthors 
504 |a Rusticucci, M., Vargas, W., Seasonal and diurnal patterns of dry- and wet-bulb temperatures over Argentina (1995) Int. J. Climatol, 15, pp. 1273-1283 
504 |a Rusticucci, M., Barrucand, W., (2001) Variabilidad interanual de temperaturas extremas en la República Argentina [Interannual Variability of Extreme Temperatures in the Republic of Argentina], , CD VIII Congreso Latinoamericano e Ibérico de Meteorología. Buenos Aires. Argentina. Centro Argentino e Meteorólogos. No 169. 8pp 
504 |a Schubert, S.D., Rood, R.B., Pfaendtner, J., An assimilated dataset for earth science applications (1993) Bull. Amer. Meteor. Soc, 74, pp. 2331-2342 
504 |a Schubert, S.D., A multiyear assimilation with the GEOS-1 system: Overview and results (1995) NASA Tech. Memo. 104606, , Coauthors, 207 pp 
520 3 |a This paper compares surface-station temperature observations over Argentina with gridpoint analyses available in the NCEP-NCAR reanalysis dataset. The primary objective is to determine whether the maximum and minimum surface temperatures from the reanalysis can be used to compute statistics on the occurence of extreme events. The extreme range of topography and geography of Argentina is viewed as a severe test for the reanalysis data. Good agreement, on both the daily and monthly timescales, between the station data and the reanalysis gridpoint data is found over the low-elevation regions in central and eastern Argentina. The agreement is relatively poor for summertime maximum temperatures over northern Argentina. The reanalysis data underestimate the intensity of extreme warm events over northern and southern Argentina and overestimate extreme cold events during winter over central Argentina. High-elevation areas in western Argentina have the poorest correspondence throughout the year. Thus, the NCEP-NCAR reanalysis data have to be used with caution for studies of the magnitude of day-to-day temperature changes. The results of this study indicate that the NCEP-NCAR reanalysis data are sufficient for determining the timing of midlatitude events but are not sufficient for determining the amplitude and frequency in the subtropics and in regions of high relief. The use of anomalies tends to improve the amount of agreement between the reanalysis data and station observations.  |l eng 
593 |a Dept. Ciencias de la Atmos. Oceanos, FCEN, UBA, Ciudad Universitaria Pab II, Buenos Aires 1428, Argentina 
690 1 0 |a TEMPERATURE DISTRIBUTION 
690 1 0 |a TOPOGRAPHY 
690 1 0 |a CLIMATOLOGY 
690 1 0 |a COMPARATIVE STUDY 
690 1 0 |a EXTREME EVENT 
690 1 0 |a REGIONAL CLIMATE 
690 1 0 |a SURFACE TEMPERATURE 
651 4 |a ARGENTINA 
700 1 |a Kousky, V.E. 
773 0 |d American Meteorological Society, 2002  |g v. 15  |h pp. 2089-2101  |k n. 15  |p J. Clim.  |x 08948755  |w (AR-BaUEN)CENRE-5480  |t Journal of Climate 
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856 4 0 |u https://doi.org/10.1175/1520-0442(2002)015<2089:ACSOMA>2.0.CO;2  |y DOI 
856 4 0 |u https://hdl.handle.net/20.500.12110/paper_08948755_v15_n15_p2089_Rusticucci  |y Handle 
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