Semestral Journal of Centro Argentino de Meteorólogos, which is published  since 1970 and serves on the Core of Argentine Scientific Journals since 2005. Meteorologica publishes original papers in the field of atmospheric sciences and oceanography.

Registration number of intellectual property: RL-2018-42420861-APN-DNDA#MJ

ISSN 1850-468X

Volume 40 – N°1 MORE NOTES FROM THIS ISSUE

EXPLORING MAXIMUM AND MINIMUM TEMPERATURES IN DIFFERENT REANALYSIS. PART 1: MEANS SEASONAL PATTERNS

Pablo Gabriel Zaninelli, Andrea Fabiana Carril y Claudio Guillermo Menéndez

Centro de Investigaciones del Mar y la Atmósfera (CIMA), CONICET-UBA, Buenos Aires, Argentina
Departamento de Ciencias de la Atmósfera y los Océanos (DCAO), FCEN, Universidad de Buenos Aires, Argentina
UMI IFAECI/CNRS, Buenos Aires, Argentina

Manuscript recieved on 28 august 2013, in final form on 1 de july 2014

ABSTRACT

Reanalysis data are often used to carry out scientific research, although if it is not clear the extent their errors. This article explores the inherent uncertainty about using reanalysis data of maximum temperature and minimum in southeastern South America. It was compared seasonal mean fields TX (summer) and TN (winter) observed and interpolated grid points (Tencer et al., 2011), three different multidecadal-reanalysis (NCEP, ERA40 y 20CR) and four regional climate models (LMDZ, PROMES, RCA and REMO). It was studied also the surface energy balance for each reanalysis and was found that the involved processes in this balance affect directly to the temperature. Errors in temperature are partially linked with errors arising from how regional climate models reproduce the sensible heat flux, latent heat flux and surface net radiation. The ability of the reanalysis and regional climate models to represent the geographical distribution of TX and TN it was analyzed through Taylor diagrams. Ensembles of reanalysis or ensembles of regional climate models usually have better statistics in these diagrams than individual reanalysis or models. Moreover, the statistics shown by the Taylor diagrams suggest that errors in the geographical distribution of spatial anomalies of temperature of both reanalysis and regional climate models have similar magnitudes.
Keywords: maximum temperature, minimum temperature, gridded dataset, reanalysis, regional climate models