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Rain 1986-2015 10th Percentile

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Citation (What is it about and who created it or owns it)
Title Rain 1986-2015 10th Percentile
Publication Date2017
PublisherClimate Modelling Group, CSIR
Creator (Author/ Responsible Party) Climate Modelling Group, CSIR , Affiliation: Meiring Naudé Road, Brummeria, Pretoria, South Africa
Contributor HostingInstitution : South African Environmental Observation Network , Affiliation: SAEON - National Office, PO Box 2600, Pretoria, 0001, South Africa
Permanent Identifier 10.15493/DEA.CARBON.10000030 (DOI)
Online Resources
Service Rain 1986-2015 10th Percentile
Download Rain 1986-2015 10th Percentile
Usage, Restrictions, Caveat
Licencing and Usage Rights Composite or Custom License ( http://noframe.data.dirisa.org/platform/policy-and-licenses/composite-license-carbon-atlas )
Methodology
The current long term annual climate conditions for the 30-year period 1986-2015. The total daily rainfall values simulated by six different global circulation models (GCMs), i.e. csiro, gfdl20, gfdl21, miroc, mpi, and ukmo were downscaled with the Cubic Conformal Atmospheric Model (CCAM) developed by CSIRO (Australia) and updated and modified by the CSIR (South Africa). The daily rainfall values were summed to yearly totals and the mean annual total rainfall were calculated for each downscaled global circulation model for the 30 year period. The 10th percentile values are based on the mean annual rainfall values for the six downscaled GCMs. Data are in raster format with a 0.5º resolution using a projected latitude / longitude coordinate reference system with `+proj=utm +zone=48 +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0`.
Data Dictionary/ Schema
Dictionary URL or Schemahttp://datacite.org/schema/kernel-3
Coverage (Main Dimensions of the Data)
Start Date1986
End Date2015
Date ( Accepted )
Date ( Issued )
Subjects 10th percentile rainfall
Subjects current climate
Subjects southern Africa
Metadata Elements
Metadata Standarddatacite
Repository SA Carbon Sinks Atlas
Technical Data Set Parameters
Languageeng
Data Representationon
Spatial Coverage
Data Set Versions and Relationships