Data available from the Climate Data Portal
Users of the Climate Data Portal are able to construct and submit data requests to extract Regional Climate Model (RCM) data for the simulations, locations, time periods and climate variables that are of interest to them. Additional Information is provided for the data sets.
Please contact us if you need further advice on how to use the Climate Data Portal or the data available from it.
Domain and resolution
All of the data available from the Climate Data Portal is available over two domains and at two resolutions. The NARCliM domain covers southeast Australia at a horizontal resolution of ~10 kilometres. The Coordinated Regional Climate Downscaling Experiment (CORDEX) domain covers Australia and surrounds at a resolution of ~50 kilometres (See About NARCliM).
Two types of data are available from the Climate Data Portal:
Site-specific- Data can be extracted for any point location within the selected domain. This data is in comma-separated values (CSV) format. This can be read by standard text editors and spreadsheet software.
Gridded- Data can be extracted for a grid, or spatially continuous polygon, within the selected domain. This data is in geographic information system (GIS)-readable American Standard Code for Information Interchange (ASCII) format and is on a regular latitude-longitude grid.
The NARCliM dataset includes a set of simulations in which three configurations of the weather research and forecasting (WRF) regional climate model (RCM) (essentially three different RCMs) are forced with output from four different global climate models (GCMs). Data from these 12 simulations, listed below, is available through the Climate Data Portal.
- WRF RCM configuration 1 forced with MIROC3.2(medres) GCM
- WRF RCM configuration 2 forced with MIROC3.2(medres) GCM
- WRF RCM configuration 3 forced with MIROC3.2(medres) GCM
- WRF RCM configuration 1 forced with ECHAM5/MPI-OM GCM
- WRF RCM configuration 2 forced with ECHAM5/MPI-OM GCM
- WRF RCM configuration 3 forced with ECHAM5/MPI-OM GCM
- WRF RCM configuration 1 forced with CGCM3.1(T74) GCM
- WRF RCM configuration 2 forced with CGCM3.1(T74) GCM
- WRF RCM configuration 3 forced with CGCM3.1(T74) GCM
- WRF RCM configuration 1 forced with CSIRO-MK3.0 GCM
- WRF RCM configuration 2 forced with CSIRO-MK3.0 GCM
- WRF RCM configuration 3 forced with CSIRO-MK3.0 GCM
A second set of NARCliM simulations includes the same three RCMs with a single NCEP/NCAR Reanalysis Project (NNRP) reanalysis, resulting in three simulations:
- NNRP Reanalysis – R1
- NNRP Reanalysis – R2
- NNRP Reanalysis – R3
Simulations were run for the following time periods:
The three reanalysis-forced simulations were run for the period 1950-2009.
All data are output as time series and are available as daily and monthly values. Monthly values are averages of daily values, with the exception of precipitation, which is an accumulation over the month.
The following surface variables are available from the Climate data portal:
- precipitation accumulation (including bias-corrected data)
- mean surface air temperature
- mean surface pressure
- mean surface specific humidity
- mean near-surface wind speed
- mean surface evaporation flux
- mean soil moisture content
- mean sea surface temperature
- mean downward shortwave radiation
- mean downward longwave radiation
- mean upward longwave radiation.
Bias-corrected data are corrected using the method described by NARCliM Technical Note 3.
No climate modelling exercise produces error-free data, and the NARCliM project is no exception. The following information describes known issues with the NARCliM data. Please contact email@example.com if you have any questions about the NARCliM data.
NARCliM CCCMA3.1 simulations
There is no daily data for any variable for 29 February on any year for the NARCliM CCCMA3.1 simulations. This is because the CCCMA3.1 Global Climate Model that is being downscaled works on a calendar that has no leap years.
At present, no evaporation data are available from the NSW Climate Data Portal. A dataset for potential evaporation is being generated from other climate variables and will be made available through the data portal in the future.
Mean surface air temperature (tasmean)
The daily tasmean datasets contain spatial discontinuities over the ocean. This is likely due to discontinuities in data from the Global Climate Models that are being downscaled. These discontinuities coincide with discontinuities in the daily hussmean (mean surface specific humidity) datasets. Monthly data and data over the land are not affected.
Precipitation accumulation (pracc_fl)
A known issue with the Regional Climate Model's convection scheme resulted in unrealistically large values for isolated gridpoints for some time steps in the NARCliM simulations. The NARCliM ~50km resolution data is most impacted. The pracc_fl files contain data in which these unrealistic values of daily precipitation above 1200 millimetres have been filtered out. Over the entire domain a very small number of data points are affected.
Precipitation accumulation - bias corrected (pracc_bc)
There are some spatial discontinuities in this dataset in some remote inland areas of the Northern Territory, Queensland and South Australia (see Figure 1). This is due to the scarcity of observational climate data in these areas. In these areas, the Australian Water Availability Project (AWAP) gridded dataset used for bias correction relies heavily on interpolation of data between a small number of meteorological observation stations. Therefore, an alternative bias-correction approach that used regional-average data, rather than data for individual grid points, was used in these areas. For further information, please see NARCliM Technical Note 3.
Figure 1: Example map of ~10 kiolmetres resolution NARCliM pracc_bc data showing unrealistic spatial discontinuities in Northern Territory, Queensland and South Australia.
Mean surface specific humidity (hussmean)
The daily hussmean datasets contain spatial discontinuities over the ocean (see Figure 2). This is likely due to discontinuities in data from the Global Climate Models that are being downscaled. These discontinuities coincide with discontinuities in the daily tasmean (mean surface air temperature) datasets. Monthly data and data over the land are not affected.
Figure 2: Example map of ~10 kilometres resolution NARCliM huss data showing an unrealistic spatial discontinuity in the ocean to the east of NSW.
Mean sea surface temperature (sstmean)
The daily sstmean datasets for the NARCliM MIROC3.2 simulations contain spatial discontinuities in December 1991. This is due to discontinuities in data from the MIROC3.2 Global Climate Model that is being downscaled. Monthly data are not affected.
Data available from the Adapt NSW
You can download maps of future changes (2020-2039 and 2060-2079) from the NARCliM projections for temperature, hot days and cold nights, rainfall and Forest Fire Danger Index. These maps are in ASCII file format. They are for the NARCliM domain and are at ~10 kilometres resolution. Each download also has a ‘read me’ document.
The data is available for the multi-model mean of the 12 model ensemble for the NARCliM 10 kilometres domain and can be found on the NSW Climate Change Downloads page.