Extremes (1950 - 2000) Of Minimum Temperatures (C) June

View Dataset
R.E. Schulze;M. Maharaj

Description

When days with very low or very high temperatures are experienced, the question is invariably asked as to whether that extreme minimum or maximum temperature was a record, either for the country or province, or for a specific location or month of the year. It is for that reason that extremes of temperatures, at both ends of the spectrum, were extracted from the daily temperature database generated by Schulze and Maharaj (2004) for the 51 year period (in this case) from 1950 to 2000, and analysed in tabular and mapped form. While these maps/tables are informative and interesting, there are nevertheless some limitations as to their accuracy, for reasons which are discussed in the shaded blocks containing some scientific background to the analyses.Limitations over South Africa to mapping extremes of temperatures, the generation of daily temperature time series at one arc minute spatial resolution at the 429 700 grid points covering South Africa depends on the selection of "best" control stations, extrapolating to altitudes above that of the highest-lying station in a particular region, as well as computational procedures regarding initial and final daily temperature values (Schulze and Maharaj, 2004). With respect to extreme minimum temperatures, no account has been taken of cold air drainage into valleys, which may aggravate minimum extremes.Extremes of temperatures were derived from over 970 qualifying stations` records for the 51 year (1950 - 2000) time series of quality controlled daily maximum and minimum values generated at each of the 429 700 one arc minute (i.e. 1.7 x 1.7 km) raster points covering South Africa, using the regional/seasonal lapse rate and infilling techniques developed by Schulze and Maharaj (2004). In order to avoid analysing and mapping anomalous temperature extremes resulting from incorrect recordings, the extremes which were derived are therefore taken as the means of the two highest or lowest values found in the temperature time series at each grid point.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.1

FAIR Score

59%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

University of KwaZulu-Natal

Assigned Domain

Subfield

Global and Planetary Change

Field

Environmental Science

Domain

Physical Sciences

Confidence Score

47%

Source

Scholar Data Model

Keywords

extreme temperatureminimum temperaturedaily temperaturesevere weathermonthly temperatureWeather and climateRegional and seasonal variabilityCommercial forestryPhysiological stress driversAgricultureBiophysical variablesBiodiversityPhysical environmentDisaster managementExtreme eventsAgents of disasterHealthEnvironmental and economic correlates of health

Normalization Factors

FT

61.54

CTw

1.00

MTw

1.00