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AdaptNSW

Accessing climate data on the NSW Climate Data Portal

NSW Climate Data Portal
view from space of Australia with lights along east coast

What is the NSW Climate Data Portal?

The NSW Climate Data Portal (the Portal) is a free, registered-access online platform that provides the public with high-resolution climate model data for New South Wales and Australia. The Portal is managed by NSW Government and is the primary access point for NARCliM2.0, the latest generation of climate data developed through the NSW and Australian Regional Climate Modelling (NARCliM) project.

Who is the NSW Climate Data Portal for?

The Portal is most appropriate for our experienced and expert end-users who work with climate model data. It enables these end-users to search for, select and download NARCliM2.0 data for their own specific projects.

For example, the Portal supports professionals in areas such as climate research, environmental modelling and adaptation planning. The Portal can be used to access climate variables at different time periods and at 2 spatial resolutions (4 km or 20 km) for any location or spatial extent relevant to their work.

For those with limited experience using climate models or climate projections, the AdaptNSW website provides resources – such as the Regional Climate Change Snapshots and Interactive Climate Change Projections Map – that support understanding and interpretation of NARCliM2.0 data.

Are you ready to start using the Portal?

Explore offerings Portal User Guide Launch Portal

For more information, check the 'Quick Links' and 'Downloadable' files to the right hand side of the page. 

What does the NSW Climate Data Portal offer?

Through your Portal account, you can explore and download NARCliM2.0 climate data, customise your selections and manage your downloads.

Explore available data and scenarios

NARCliM2.0 data are now available for 3 emissions scenarios: SSP1-2.6, SSP2-4.5 and SSP3-7.0, enabling you to explore a range of possible climate futures. Data are organised according to the available time intervals including daily, monthly or by year. The Portal currently provides access to over 50 climate variables including rainfall, temperature, humidity, air pressure and wind.

Access post-processed and bias adjusted data, or request raw outputs

Most end-users work with post-processed NARCliM2.0 data, which are grouped into manageable chunks and summarised by time intervals.

You can also download bias adjusted datasets for a subset of variables—namely daily precipitation, and maximum and minimum daily temperature. These are among the most used variables for evaluating models and assessing climate hazards, such as extreme rainfall indices.

Raw NARCliM2.0 data, which have not been bias adjusted or post-processed, may be ideal if you wish to apply your own processing methods. While it is not available for download from the Portal, you can email a request to: [email protected].

Customise your selection

You can select NARCliM2.0 data for a specific area or point, customise the date range, and filter by model, emissions scenario, variable, frequency and spatial domain. You can then download either individual datasets or grouped collections.

Manage your downloads with a free account

Once registered, you can add selected data to your cart, track your download history and receive dataset links via email.

Standards and continuous improvement

All datasets on the Portal comply with CORDEX (Coordinated Regional Climate Downscaling Experiment) guidelines, including standardised file naming conventions and variables dictionary.

We are committed to ensuring the Portal serves your needs. For example, your account helps us improve future data services by tracking popular dataset usage. In addition, your direct feedback is always welcome. Please communicate your issues and needs directly to: [email protected] 

Quick guide to getting started

To access and download data from the Portal, you will need to register to create a free account. Before registering, please review the Portal User Guide and the Terms and Conditions, which govern use of the data.

If you are new to the Portal’s interface or terminology - such as the filters and metadata – you may want to refer to the Glossary of Terms.

Create an account

Navigate to the Portal and select the ‘Register’ link to create a user account. You can specify your data needs during registration to help access the appropriate datasets. 

After submitting your information, you will receive a confirmation email. Further details about accessing NARCliM data on the Portal can be found in the Portal User Guide.

Search for data

Use the filter on the left navigation bar or the search box to explore available datasets. You can filter by:  

As you search for data, please note that the filter displays only datasets that match your selected criteria. For example, by selecting 'domain', you will be able to see options for NARCliM2.0 data at both 4 km and 20 km. As you filter, datasets that meet the criteria will be visible on the right.

Select and download datasets and collections

After filtering and selecting your dataset of interest, you will be redirected to a page where you can:

  • Refine your selection by location and date range (year)
  • Choose your preferred output format for download (NetCDF, GeoTIFF or CSV)

Your selection will then be added to your data cart. When you are ready, go to the data cart page and click ‘Download’. You will receive a download link via email to retrieve your dataset selection. 

Need help? Please refer to the Portal User Guide or contact us.

Terms and conditions

There are fundamental considerations in your decision to access the data available through the Portal. Before you register for an account, please review our Terms and Conditions which govern the use of NARCliM data. This document also includes mandatory citation requirements for acknowledging NARCliM in any reports or publications you produce that reference the data. 

Publications

Climate modelling

Di Luca A, Argueso D, Evans JP, de Elia R and Laprise R 2016, Quantifying the overall added value of dynamical downscaling and the contribution from different spatial scales, Journal of Geophysical Research – Atmospheres, vol.121, pp.1575–1590, DOI:10.1002/2015JD024009.

Di Luca A, Evans JP and Ji F 2017, Australian snowpack in the NARCliM ensemble: evaluation, bias correction and future projections, Climate Dynamics, vol.51, pp.639–666, DOI:10.1007/s00382-017-3946-9. 

Di Luca A, Evans JP, Pepler A, Alexander LV and Argueso D 2016, Evaluating the representation of Australian east coast lows in a regional climate model ensemble, Journal of Southern Hemisphere Earth Systems Science, vol.66, pp.108–124.

Di Virgilio, G., Ji, F., Tam, E., Nishant, N., Evans, J. P., Thomas, C., et al.(2022). Selecting CMIP6 GCMs for CORDEX dynamical downscaling: Model performance, independence, and climate change signals. Earth's Future, 10, e2021EF002625. 

Di Virgilio G, Evans JP, Di Luca A, Grose MR, Round V and Thatcher M 2020, Realised added value in dynamical downscaling of Australian climate change, Climate Dynamics, vol.54, pp.4675–4692, DOI:10.1007/s00382-020-05250-1. 

Di Virgilio G, Evans JP, Di Luca A, Olson R, Argüeso D, Kala J, Andrys J, Hoffmann P, Katzfey JJ and Rockel B 2019, Evaluating reanalysis-driven CORDEX regional climate models over Australia: model performance and errors, Climate Dynamics, vol.53, pp.2985–3005, DOI:10.1007/s00382-019-04672-w. 

Di Virgilio Giovanni, J. P. Evans, F. Ji, E. Tam, J. Kala, J. Andrys, C. Thomas, D. Choudhury, C. Rocha, S. White, Y. Li, M. El Rafei, R. Goyal, M. Riley, J. Lingala (2025). Design, evaluation and future projections of the NARCliM2.0 CORDEX-CMIP6 Australasia regional climate ensemble, Geoscientific Model Development, DOI: https://doi.org/10.5194/gmd-18-671-2025

Di Virgilio Giovanni, F. Ji, E. Tam, J. P. Evans, J. Kala, J. Andrys, C. Thomas, D. Choudhury, C. Rocha, Y. Li, M. Riley (2025). Evaluation of CORDEX ERA5-forced NARCliM2.0 regional climate models over Australia using the Weather Research and Forecasting (WRF) model version 4.1.2, Geoscientific Model Development, DOI: https://doi.org/10.5194/gmd-18-703-2025

Duc HN, Ji F, Riley M, Herold N, Tam E, Downes S, Gross M, Beyer K, Nishant N, Azzi M and Miller J 2021, Evaluation of NARCliM1.5 regional climate model prediction of precipitation and temperature over eastern Australia, in 25th Clean Air and Environment Conference, Clean Air Society of Australia and New Zealand. (PDF 0.7MB) 

Evans JP, Di Virgilio G, Hirsch AL, Hoffmann P, Remedio AR, Ji F, Rockel B and Coppola E 2020, The CORDEX-Australasia ensemble: evaluation and future projections, Climate Dynamics, vol.57, pp.1385–1401, DOI: 10.1007/s00382-020-05459-0. 

Evans JP, Ekström M and Ji F 2012, Evaluating the performance of a WRF physics ensemble over south-east Australia, Climate Dynamics, vol.39, pp.1241–1258, DOI:10.1007/s00382-011-1244-5. 

Evans JP, Ji F, Abramowitz G and Ekström M 2013, Optimally choosing small ensemble members to produce robust climate simulations, Environmental Research Letters, vol.8, DOI: 10.1088/1748-9326/8/4/044050. 

Evans JP, Ji F, Lee C, Smith P, Argüeso D and Fita L 2014, Design of a regional climate modelling projection ensemble experiment – NARCliM, Geoscientific Model Development, vol.7, pp.621–629, DOI:10.5194/gmd-7-621-2014.

Fan Y, Olson R and Evans JP 2017, A Bayesian posterior predictive framework for weighting ensemble regional climate models, Geoscientific Model Development, vol.10, pp.2321–2332, DOI: 10.5194/gmd-10-2321-2017. 

Fita L, Evans JP, Argueso D, King AD and Liu Y 2016, Evaluation of the regional climate response in Australia to large-scale modes in the historical NARCliM simulations, Climate Dynamics, vol.49, pp. 2815–2829 DOI:10.1007/s00382-016-3484-x. 

Grose MR, Bhend J, Argueso D, Ekström M, Dowdy A, Hoffman P, Evans JP, Timbal B 2015, Comparison of various climate change projections of eastern Australian rainfall, Australian Meteorological and Oceanographic Journal, vol.65, pp.72–89.

Holgate C, Evans J, Dijk A, Pitman A and Virgilio G 2020, Australian precipitation recycling and evaporative source regions, Journal of Climate, vol.33, pp.1–40, DOI:10.1175/JCLI-D-19-0926.1. 

Ji F, Evans JP, Argueso D, Fita L and Di Luca A 2015, Using large-scale diagnostic quantities to investigate change in east coast lows, Climate Dynamics, vol.45, pp.2443–2453, DOI:10.1007/s00382-015-2481-9. 

Ji F, Evans JP, Di Luca A, Jiang N, Olson R, Fita L, Argüeso D, T-C Chang L, Scorgie Y, Riley M 2018, Projected change in characteristics of near surface temperature inversions for southeast Australia, Climate Dynamics, vol.52, pp.1487–1503, DOI:10.1007/s00382-018-4214-3. 

Ji F, Evans JP, Di Virgilio G, Nishant N, Di Luca A, Herold N, Downes SM, Tam E and Beyer K 2020, Projected changes in vertical temperature profiles for Australasia, Climate Dynamics, vol.55, pp.2453–2468, DOI: 10.1007/s00382-020-05392-2. 

Ji F, Evans JP, Ekström M and Teng J 2014, Evaluating rainfall patterns using physics scheme ensembles from a regional atmospheric model, Theoretical and Applied Climatology, vol.115, pp.297–304, DOI:10.1007/s00704-013-0904-2. 

Ji F, Evans JP, Teng J, Scorgie Y, Argueso D, Di Luca A and Olson R 2016, Evaluation of long-term precipitation and temperature WRF simulations for southeast Australia, Climate Research, vol.67, pp.99–115, DOI:10.3354/cr01366.  

Nishant N, Evans JP, Di Virgilio G, Downes S, Cheung KW, Tam E, Miller J, Beyer K and Riley M, Introducing NARCliM1.5: evaluating the performance of regional climate projections for southeast Australia for 1950-2100, Earth’s Future, vol.9, DOI: e2020EF001833. (PDF 5.2MB) 

Nishant N and Sherwood SC 2021, How strongly are mean and extreme precipitation coupled? Geophysical Research Letters, vol.48, DOI:e2020GL092075. 

Olson R, Evans JP, Di Luca A and Argueso D 2016, The NARCliM project: model agreement and significance of climate projections, Climate Research, vol.69, pp.209–227, DOI:10.3354/cr01403.

Olson R, Fan Y and Evans JP 2016, A simple method for Bayesian model averaging of regional climate model projections: application to south-east Australian temperatures, Geophysical Research Letters, vol.43, pp.7661─7669, DOI: 10.1002/2016GL069704. 

Pepler A, Alexander L and Evans JP 2016, Zonal winds and southeast Australian rainfall in climate models, Climate Dynamics, vol.46, pp.123–133, DOI:10.1007/s00382-015-2573-6. 

Climate extremes and natural hazards

Bao J, Sherwood S, Alexander L and Evans 2017, Future increases in extreme precipitation exceed observed scaling rates, Nature Climate Change, vol.7, pp.128–132, DOI:10.1038/nclimate3201. 

Cortés-Hernández VE, Zheng F, Evans JP, Lambert M, Sharma A, and Westra S 2015, Evaluating regional climate models for simulating sub-daily rainfall extremes, Climate Dynamics, vol.47, pp.1613–1628, DOI:10.1007/s00382-015-2923-4. 

Evans JP, Argueso D, Olson R and Di Luca A 2016, Bias-corrected regional climate projections of extreme rainfall in south-east Australia, Theoretical and Applied Climatology, vol.130, pp.1085–1098, DOI:10.1007/s00704-016-1949-9. 

Herold N, Downes SM, Gross MH, Ji F, Nishant N, Macadam I and Beyer K 2021, Projected changes in the frequency of climate extremes over southeast Australia. Environmental Research Communications, vol.3, 011001. 

Pepler AS, Di Luca A, Ji F, Alexander LV, Evans JP and Sherwood SC 2016, Projected changes in east Australian midlatitude cyclones during the 21st century, Geophysical Research Letters, vol.43, pp.334─340, DOI:10.1002/2015GL067267.

Perkins-Kirkpatrick S, White C, Alexander L, Argueso D, Boschat G, Cowan T, Evans JP, Ekstrom M, Oliver E, Phatak A and Purich A 2016, Natural hazards in Australia: heatwaves, Climatic Change, vol.139, pp.101–114, DOI:10.1007/s10584-016-1650-0. 

Walsh K, White CJ, McInnes K, Holmes J, Schuster S, Richter H, Evans JP, Di Luca A and Warren RA 2016, Natural hazards in Australia: storms, wind and hail, Climatic Change, vol.139, pp.55–67, DOI:10.1007/s10584-016-1737-7. 

Fire-related

Clarke H and Evans JP 2018, Exploring the future change space for fire weather in southeast Australia, Theoretical and Applied Climatology, vol.136, pp.513–527, DOI:10.1007/s00704-018-2507-4. 

Clarke H, Pitman AJ, Kala J, Carouge C, Haverd V and Evans JP 2016, An investigation of future fuel load and fire weather in Australia, Climatic Change, vol.139, pp.59–605, DOI:10.1007/s10584-016-1808-9. 

Di Virgilio, G., Evans, J. P., Blake, S. A. P., Armstrong, M., Dowdy, A. J., Sharples, J., & McRae, R. (2019). Climate change increases the potential for extreme wildfires. Geophysical Research Letters, 46, 8517–8526.

Di Virgilio G, Evans JP, Clarke H, Sharples J, Hirsch AL and Hart MA 2020, Climate change significantly alters future wildfire mitigation opportunities in southeastern Australia, Geophysical Research Letters, vol.47, DOI:10.1029/2020GL088893. 

Sharples JJ, Cary G, Fox-Hughes P, Mooney S, Evans JP, Fletcher M, Fromm M, Baker P, Grierson P and McRae R 2016, Natural hazards in Australia: extreme bushfire, Climatic Change, vol.139, pp.85–99, DOI:10.1007/s10584-016-1811-1. 

Sector-specific

Evans JP, Kay M, Abhnil P and Pitman A 2017, The resilience of Australian wind energy to climate change, Environmental Research Letters, vol.13, DOI:10.1088/1748-9326/aaa632.

Gross MH, Alexander LV, Macadam I, Green D and Evans JP 2016, The representation of health-relevant heatwave characteristics in a regional climate model ensemble for New South Wales and the Australian Capital Territory, Australia, International Journal of Climatology, vol.37, pp.1195─1210, DOI:10.1002/joc.4769. 

Herold N, Ekstrom M, Kala J, Goldie J and Evans JP 2018, Australian climate extremes in the 21st century according to a regional climate model ensemble: implications for health and agriculture, Weather and Climate Extremes, vol.20, pp.54–68, DOI:10.1016/j.wace.2018.01.001. 

Macadam I, Argüeso D, Evans PJ, Liu DL, Pitman AJ 2016, The effect of bias correction and climate model resolution on wheat simulations forced with a regional climate model ensemble, International Journal of Climatology, vol.36, pp.4577–4591, DOI:10.1002/joc.4653. 

Contact us

If you require more information about the NSW and Australian Regional Climate Modelling (NARCliM) project, please email: [email protected]. 

For climate change adaptation enquiries, please email: [email protected].

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