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Tmax 1986-2015 10th Percentile

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Citation (What is it about and who created it or owns it)
Title Tmax 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.10000033 (DOI)
Online Resources
Service Tmax 1986-2015 10th Percentile
Download Tmax 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 maximum daily temperature 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 mean maximum daily temperature was calculated per year for each of the six downscaled GCMs for the 30-year period. The 10th percentile values are based on the mean 30-year maximum daily temperature per year from 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 maximum daily temperature
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

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