Alternative title(s)

Regional climate projections

Abstract

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. The NARCliM project is led by the NSW Government with support from the ACT, South Australian, Victorian, and Western Australian governments, National Computational Infrastructure, Murdoch University and the University of New South Wales.

NARCliM2.0

NARCliM2.0 was released in the second half 2024. It is the most detailed regional climate projections available in Australia to date at 4km grid resolution for South-eastern Australia and 20km for Australasia. NARCliM2.0 simulates the climate using five CMIP6 GCMs and two RCMs with continuous data from 1950 to 2100. Rigorous and peer-reviewed analysis of CMIP6 GCMs was undertaken to identify the best-performing models for NARCliM2.0 over eastern Australia’s geographically complex and heavily populated regions. These five GCMs were chosen because they performed well in simulating various aspects of daily climate, were independent models, and showed diverse signals of climate change. This made them the most suitable group for downscaling to represent a wide range of future climates.

The current release includes two GHG scenarios - SSP1-2.6 (low emissions) and SSP3-7.0 (high emissions), with a third scenario, SSP2-4.5 (middle of the road emissions), available in 2025. Shared Socioeconomic Pathways do not estimate the relative likelihood of any scenario. Since any future scenario is plausible, it is best to consider multiple scenarios where possible. NARCliM2.0 has been designed to WRCP-CORDEX (https://cordex.org/) standards. Additionally, the 4km grid resolution over South-eastern Australia is considered 'convection permitting' in that it better captures convective processes like strong winds, extreme rainfall, storms and coastal atmospheric dynamics. NARCliM provides users with state of the art climate projections for Australia at the finest resolution currently available. Each generation of NARCliM is based on best available climate modelling and scenarios at the time of release. Consequently, there are expected differences between projections/results of the modelling but there are mostly similarities in trends (across NSW and over time).

Model output

NARCliM2.0 contains approximately 150 climate variables defined by CORDEX guidelines. The most commonly used variables (CORDEX CORE) at daily and monthly frequencies in regular grid will be available on the NSW Climate Data Portal in late 2024. Most variables and additional frequencies/time steps are currently available on the National Computational Infrastructure at ANU (https://dx.doi.org/10.25914/ysxb-rt43). For more information, visit the AdaptNSW website, or contact us through the NARCliM Mailbox, narclim@environment.nsw.gov.au.

Related links

Discover how climate change will affect your region at AdaptNSW

Presentation form

Image digital

Edition

NARCliM2.0

Dataset language

English

Dataset URI

https://datasets.seed.nsw.gov.au/dataset/e5679ad6-03db-4140-a55a-d13938767577

Purpose

Meeting strategic requirements for regional climate data

Status

Completed

Spatial representation type

None

Spatial reference system

Originating controlled vocabulary

Dataset reference date

Responsible party

Metadata point of contact

Metadata date

2024-10-18T00:41:12.389698

Metadata language