Dataset extent

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Design rainfall for South Africa: RLMA&SI station, grid and parameter data (WRC 1060/1/03)

This dataset contained the design rainfall data developed in WRC project K5/1060 (Smithers and Schulze, 2003, WRC Report No. 1060/1/03) and distributed with the Design Rainfall Estimation in South Africa (DRE-SA) software, version 3 (2012). The project developed the Regional L-Moment Algorithm and Scale Invariance (RLMA&SI) procedures, which were used to estimate design rainfall depths for durations from 5 minutes to 7 days and return periods from 2 to 200 years at any location in South Africa. The procedures superseded the TR102 storm rainfall values (Adamson, 1981) for most engineering applications.

Four resources were provided. The station database contained 1- to 7-day design rainfall depths, with lower and upper 90% bounds, for return periods of 2 to 200 years at 3 946 South African Weather Service daily rainfall stations, together with station coordinates, MAP, altitude, record period and cluster. The national grid contained 421 027 one-minute cells with MAP, altitude, daily, short-duration and regional cluster memberships, the adjusted mean of the 1-day annual maximum series, and the percentage prediction errors used to derive 90% bounds. A lookup workbook contained the 1-day growth curves for 78 clusters, the regional regressions for 2 to 7-day durations, the short-duration regressions for 15 clusters, the 24 h to 1-day ratios and a data dictionary. A fourth workbook contained all ten tables printed in the report.

The grid and lookup tables were read directly from the DBF files distributed with the software, without modification apart from added decimal-degree coordinates. Report tables were harvested from the born-digital report and checked against the rendered pages, and suspected errors in the source were listed for verification. Design depths at any grid cell could be computed by multiplying the cluster growth factor by the adjusted 1-day mean and applying the duration relationships described in the report.

Data and Resources

Additional Info

Field Value
Email vanderlaanm@arc.agric.za
Authors
Author 1
Author first name
Jeffrey
Author surname
Smithers
Email
smithers@ukzn.ac.za
Author organization
University of KwaZulu-Natal (formerly University of Natal)
Department
School of Bioresources Engineering and Environmental Hydrology
Is this author a contact person for the dataset?
true
Author 2
Author first name
Roland
Author surname
Schulze
Email
schulzer@ukzn.ac.za
Author organization
University of KwaZulu-Natal (formerly University of Natal)
Department
School of Bioresources Engineering and Environmental Hydrology
Is this author a contact person for the dataset?
false
Contact person
Contact 1
Contact name
Jeffrey
Email
smithers@ukzn.ac.za
Contact organization
University of KwaZulu-Natal (formerly University of Natal)
Department
School of Bioresources Engineering and Environmental Hydrology
Recommended citation SMITHERS JC and SCHULZE RE (2003) Design rainfall and flood estimation in South Africa, WRC Report No. 1060/1/03. Water Research Commission, Pretoria.
Did the author / contact organization collect the data? true
Name of organization that collected the data University of Natal (now University of KwaZulu-Natal), using rainfall data from the South African Weather Service and other agencies
Dataset language English
Publisher water-research-commission
Publication date 2003-04-01
Project number K5/1060
License Open (Creative commons)
License URL https://creativecommons.org/licenses/by/4.0/
Keywords design rainfall, extreme rainfall, DRE-SA, gridded data, rainfall stations, depth-duration-frequency, annual maximum series, L-moments, regional frequency analysis, RLMA&SI, scale invariance, flood estimation, TR102, South Africa
Geographic location or bounding box coordinates
Topic category Hydrological data and modelling
Data structure category Structured (clearly labelled and in a standardised format)
Uploader estimation of extent to which data have been processed Refined
Is the data time series or static Static
Data reference date
Alternate identifier WRC Report No. 1060/1/03
Vertical extent datum masl
Vertical minimum-maximum extent
Vertical minimum-maximum extent 1
Minimum vertical extent
0
Maximum vertical extent
3429
I agree to the data management plan and terms and conditions of the WRO true