Dataset extent

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Climate Change Impacts on Hydrological Yield under Natural Vegetation: ACRU outputs

ACRU output stats for: seven scenarios (6 GCMs under RCP8.5 and historical climate conditions) for three time periods: 1961-1990, 2015-2044, 2017-2099 assumed natural vegetation 5838 quinary zones in South Africa, Eswatini and Lesotho 18 hydrological and 13 climatic variables for mean, 10th, 50th and 90th percentile

Data and Resources

Additional Info

Field Value
Email Schuttes@ukzn.ac.za
Authors
Author 1
Author first name
Richard
Author surname
Kunz
Email
KunzR@ukzn.ac.za
Author organization
University of KwaZulu-Natal
Department
Centre for Water Resources Research
Is this author a contact person for the dataset?
true
Author 2
Author first name
David
Author surname
Clark
Email
ClarkD@ukzn.ac.za
Author organization
University of KwaZulu-Natal
Department
Centre for Water Resourses Research
Is this author a contact person for the dataset?
Author 3
Author first name
Stefanie
Author surname
Schütte
Email
Schuttes@ukzn.ac.za
Author organization
University of KwaZulu-Natal
Department
Centre for Water Resourses Research
Is this author a contact person for the dataset?
Contact person
Contact 1
Contact name
Email
Contact organization
Department
Contact 2
Contact name
Email
Contact organization
Department
Contact 3
Contact name
Email
Contact organization
Department
Contact 4
Contact name
Email
Contact organization
Department
Recommended citation Kunz, RE., Clark, DJ. and Schütte, S. 2023. [Dataset] Climate Change Impacts on Hydrological Yield under Natural Vegetation: ACRU outputs. WRC Project K5/2833, Water Research Commission, Pretoria, South Africa.
Did the author / contact organization collect the data? true
Name of organization that collected the data University of KwaZulu-Natal
Dataset language Englisch
Publisher Water Research Commission
Publication date 2023-10-18
Project number K5/2833
License Open (Creative commons)
License URL https://creativecommons.org/licenses/by-sa/4.0/
Keywords ACRU stats, Climate Change, Hydrology
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)
1950-01-01
Data reference date (to)
2099-12-31
Alternate identifier
Vertical extent datum
Vertical minimum-maximum extent
I agree to the data management plan and terms and conditions of the WRO true