A Comparative Study of Maximum and Minimum Temperatures over Argentina: NCEP–NCAR Reanalysis versus Station Data.

Saved in:
Bibliographic Details
Title: A Comparative Study of Maximum and Minimum Temperatures over Argentina: NCEP–NCAR Reanalysis versus Station Data.
Authors: Rusticucci, Matilde M., Kousky, Vernon E.
Source: Journal of Climate. Aug2002, Vol. 15 Issue 15, p2089. 13p. 1 Chart, 5 Graphs, 8 Maps.
Subjects: Climatology, Weather
Abstract: 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 occurrence 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. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Climate is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Be the first to leave a comment!
You must be logged in first