Dataset
NSW Department of Climate Change, Energy, the Environment and Water
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NARCliM climate projections

What is NARCliM?

The New South Wales and Australian Regional Climate Modelling (NARCliM) project develops high-resolution regional climate projections that cover NSW and South-eastern Australia at a higher resolution and the Australasian continent and beyond at another resolution (named the NARCliM and CORDEX domains, respectively). Computer modelled climate projections are the best information we have available on our future climate. NARCliM has been designed to help government, industry and community in NSW and Australia plan for our future with robust regional and local scale data. The NARCliM project uses currently available global climate models (GCM) and greenhouse gas (GHG) emissions scenarios from the latest Coupled Model Intercomparison Project (CMIP) used in the IPCC reports and applies regional dynamical downscaling using the latest Weather Research and Forecasting model (WRF). NARCliM generates critical climate indices for a broad range of applications and climate change adaptation and risk analysis.

NARCliM releases

NARCliM1.0 was released in 2014. It contains simulations from four CMIP3 GCMs and three regional climate models (RCM) using WRF3.3 for one future GHG scenario (SRES A2). Time periods included are 1990 to 2009, 2020 to 2039 and 2060 to 2079, with a grid resolution of 10km for South-eastern Australia (NARCliM domain) nested within a 50km grid for Australasia (CORDEX domain). NARCliM1.0 data has been used for a range of NSW climate adaptation and impact studies and climate change visualisations.

An enhanced set of climate projections (NARCliM1.5) were released in 2020. NARCliM1.5 contains simulations from three CMIP5 GCMs and two RCMs and two GHG scenarios (RCP4.5 and RCP8.5). The simulated time period is continuous from 1951 to 2100. NARCliM1.5 has the same grid resolution as NARCliM1.0 – a 10km grid nested within a 50km grid, and is useful for analysis of climate extremes, impact thresholds and stress testing.

Model output

For access to NARCliM climate projections data, please visit the NSW Climate Data Portal or the National Computational Infrastructure at ANU. The Climate Data Portal provides users access to NARCliM's most commonly used "core variables" at daily and monthly frequencies. Additional variables useful for specialist analysis are available upon request. For more information, contact us through the NARCliM Mailbox, narclim@environment.nsw.gov.au.

Data and Resources

    Data Access

    Please email data.broker@environment.nsw.gov.au to request access to this dataset. A DPE representative will be in contact with you shortly, usually within 2 business days, with instruction on accessing the dataset. There may be a requirement to negotiate a data licence agreement.

  • Data Quality Statement PDF

    Data quality statement for NARCliM model output

Metadata Summary What is metadata?

Field Value
Language English
Alternative Title Regional climate projections
Edition Version 2.0
Purpose Decision making on impacts and risks from and adaptation to climate change
Frequency of change As needed
Keywords CLIMATE-AND-WEATHER,CLIMATE-AND-WEATHER-Climate-change
Field of Research (optional) Climate Change Processes
Metadata Date 2024-01-08
Date of Asset Creation 2024-01-08
Date of Asset Revision 2024-01-08
Date of Asset Publication 2014-01-12
License Creative Commons Attribution 4.0
Vector representation
Record 1
Object type
Curve
Object count
1
Geospatial Topic Climatology meteorology atmosphere
NSW Place Name South-eastern Australia
Extent

Dataset extent
Temporal Coverage From 1951-01-01 - 2099-12-31
Datum GDA94 Geographic (Lat\Long)
Legal Disclaimer Read
Attribution NSW Department of Climate Change, Energy, the Environment and Water asserts the right to be attributed as author of the original material in the following manner: "© State Government of NSW and NSW Department of Climate Change, Energy, the Environment and Water 2014"
DOI doi:10.25948/k672-3z68
DOI Creator name Joseph Miller
DOI Resource Type Climate modelling
DOI Resource Type General Description Dataset