48 CC_NSW_NARCliM
| Project metadata | |
|---|---|
| Project Title | CC_NSW_NARCliM |
| Owners | NSW Government, ACT Government, Climate Change Research Centre - UNSW |
| Project Abstract | NSW and ACT Regional Climate Modelling (NARCliM) Project is a collaboration between multiple NSW and ACt government agencies and Climate Change Research Centre (UNSW). See https://climatechange.environment.nsw.gov.au/Climate-projections-for-NSW/About-NARCliM |
48.1 CC_NSW_NARCliM_1_0
| Accessibility | Provision Status | Licence |
|---|---|---|
| NA | Identified | No licence |
| Metadata fields | |
|---|---|
| Short Name | CC_NSW_NARCliM_1_0 |
| Title | CC_NSW_NARCliM_1_0 |
| Creators | NSW Government, ACT Government, Climate Change Research Centre - UNSW |
| Contact Email | car.data@curtin.edu.au |
| Abstract | NARCliM 1.0 climate projections were released in 2014. These projections are provided at a 10-km grid cell resolution across south eastern Australia and 50-km grid cell resolution across the whole of Australia. Information is available as: One historical projection (1990 to 2009) and Two future projections (near future 2020 to 2039 and far future 2060 to 2079) NARCliM 1.0 is built from: Four global climate models (MIROC, ECHAM, CCCMA and CSIRO Mk3.0) and 3 regional climate models to produce 12 regional projection models; The 2010 CMIP3 dataset (this collection was gathered by the IPCC https://www.ipcc.ch/report/ar4/syr/); the 2010 IPCC’s A2 emissions scenario (the most likely scenario at that time) as outlined in https://www.ipcc.ch/report/emissions-scenarios/?idp=0; Re-analysis using the NCEP: 1950 to 2009 dataset. Detailed information on NARCliM 1.0 can be found in https://climatechange.environment.nsw.gov.au/Climate-projections-for-NSW/About-NARCliM |
| Study Extent | |
| Associated Parties | Fei Ji |
| Repository Path | |
| Repository Link | |
| External Link | |
| Recommended Citation | NSW & ACT Governments, Climate Change Research Centre (UNSW) (2023): CC_NSW_NARCliM_1_0. CARDAT. (Dataset) |
48.2 CC_NSW_NARCliM_1_5
| Accessibility | Provision Status | Licence |
|---|---|---|
| Restricted | Published | other |
| Metadata fields | |
|---|---|
| Short Name | CC_NSW_NARCliM_1_5 |
| Title | CC_NSW_NARCliM_1_5 |
| Creators | NSW Government, ACT Government, Climate Change Research Centre - UNSW |
| Contact Email | car.data@curtin.edu.au |
| Abstract | NARCliM 1.5 climate projections were released in 2020. These projections build on from the NARCliM 1.0 ‘near future’ and ‘far future’ projections to create continuous climate projections for two future greenhouse gas concentration scenarios. These projections are provided at a 10-km grid cell resolution across south eastern Australia and 50km grid cell resolution across the whole of Australia. Information is available as: One historical projection (1951 to 2005) & Continuous future projections (1950 to 2100). NARCliM 1.5 is built from: Three global climate models (ACCESS1.0, ACCESS1.3, CanESM2) and two regional climate models to produce six regional projection models per emissions scenario; The 2014 CMIP5 dataset (this collection was gathered by the IPCC); The IPCC’s revised emissions scenarios (RCP4.5 and RCP8.5 – known as representative concentration pathways); Re-analysis using the ERA-Interim data set: 1979 to 2013 dataset. NARCLiM 1.5 compliments NARCLiM 1.0 by simulating a hotter, drier future than in NARCLiM 1.0. It has the added advantage of providing continuous climate projections and an additional emissions scenario. Detailed technical information on NARCliM 1.5 can be found here https://climatechange.environment.nsw.gov.au/Climate-projections-for-NSW/About-NARCliM NARCliM 1.5 |
| Study Extent | |
| Associated Parties | |
| Repository Path | |
| Repository Link | https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/CC_NSW_NARClim/CC_NSW_NARCliM_1_5 |
| External Link | |
| Recommended Citation | NSW & ACT Governments, Climate Change Research Centre (UNSW) (2020): NSW and ACT Regional Climate Modelling (NARCliM) 1.5 climate projections data for south-eastern Australia. Downloaded from CARDAT (dataset). https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/CC_NSW_NARClim/CC_NSW_NARCliM_1_5 |
48.3 CC_NSW_NARCliM_2_0
| Accessibility | Provision Status | Licence |
|---|---|---|
| Restricted | Requested | CC BY 4.0 |
| Metadata fields | |
|---|---|
| Short Name | CC_NSW_NARCliM_2_0 |
| Title | CC_NSW_NARCliM_2_0 |
| Creators | NSW Department of Climate Change, Energy, the Environment and Water |
| Contact Email | car.data@curtin.edu.au |
| Abstract | Subset of NARCliM2.0 release. This data was obtained via NCI access. |
| Study Extent | Daily, 2015-2100. 20km resolution across Australasia and 4km resolution across south-east Australia (NSW, ACT, Victoria and surrounds). |
| Associated Parties | |
| Repository Path | |
| Repository Link | https://cloud.car-dat.org/index.php/apps/files/files?dir=/Shared/CAR_staging_area/CC_NSW_NARClim |
| External Link | https://dx.doi.org/10.25914/ysxb-rt43 |
| Recommended Citation | |
| Path to Licence | https://www.planningportal.nsw.gov.au/opendata/dataset/630ea31a-123b-4bbf-98fc-c52a22b7c195/resource/c3179bea-c30c-4213-8c1d-e07b763eff4e/download/narclim_terms-and-conditions_2025.pdf |
Related publication(s)
- Di Virgilio, G.; Evans, J. P.; Ji, F.; Tam, E.; Kala, J.; Andrys, J.; Thomas, C.; Choudhury, D.; Rocha, C.; White, S.; Li, Y.; El Rafei, M.; Goyal, R.; Riley, M. L.; Lingala, J. Design, Evaluation, and Future Projections of the NARCliM2.0 CORDEX-CMIP6 Australasia Regional Climate Ensemble. Geosci. Model Dev. 2025, 18 (3), 671–702. https://doi.org/10.5194/gmd-18-671-2025.
- Di Virgilio, G.; Ji, F.; Tam, E.; Evans, J. P.; Kala, J.; Andrys, J.; Thomas, C.; Choudhury, D.; Rocha, C.; Li, Y.; Riley, M. L. Evaluation of CORDEX ERA5-Forced NARCliM2.0 Regional Climate Models over Australia Using the Weather Research and Forecasting (WRF) Model Version 4.1.2. Geosci. Model Dev. 2025, 18 (3), 703–724. https://doi.org/10.5194/gmd-18-703-2025.
- Di Virgilio, G.; Ji, F.; Tam, E.; Nishant, N.; Evans, J. P.; Thomas, C.; Riley, M. L.; Beyer, K.; Grose, M. R.; Narsey, S.; Delage, F. Selecting CMIP6 GCMs for CORDEX Dynamical Downscaling: Model Performance, Independence, and Climate Change Signals. Earth’s Future 2022, 10 (4), e2021EF002625. https://doi.org/10.1029/2021EF002625.