Dataset extent

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Updating the estimation of 1-day probable maximum precipitation in South Africa

Updating the estimation of 1-day probable maximum precipitation in South Africa

Data and Resources

Additional Info

Field Value
Email johnsonk1@ukzn.ac.za
Authors
Author 1
Author first name
Katelyn
Author surname
Johnson
Email
johnsonk1@ukzn.ac.za
Author organization
UKZN
Department
Civil Engineering
Is this author a contact person for the dataset?
true
Author 2
Author first name
Jeff
Author surname
Smithers
Email
smithers@ukzn.ac.za
Author organization
UKZN
Department
Bioresources Engineering & CWRR
Is this author a contact person for the dataset?
Contact person
Contact 1
Contact name
Email
Contact organization
Department
Recommended citation Johnson, KA and Smithers, JC. 2020. Updating the estimation of 1-day probable maximum precipitation in South Africa. Journal of Hydrology: Regional Studies 32 (2020): 1-15. DOI: https://doi.org/10.1016/j.ejrh.2020.100736.
Did the author / contact organization collect the data? true
Name of organization that collected the data South African Weather Services
Dataset language English
Publisher UKZN
Publication date 2020-10-31
Project number WRC 2022/2023-00773
License Open (Creative commons)
License URL
Keywords Probable maximum precipitation, extreme design rainfall estimation
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
Data reference date 1
Data reference date (from)
Data reference date (to)
Alternate identifier https://doi.org/10.1016/j.ejrh.2020.100736
Vertical extent datum
Vertical minimum-maximum extent
Vertical minimum-maximum extent 1
Minimum vertical extent
Maximum vertical extent
I agree to the data management plan and terms and conditions of the WRO true