ACCESS-S1 Hindcast data is freely available on the NCI for research purposes. There are two archives available:
open-Dap archive: allows access by any researcher to the mostly used hindcast data
NCI archive: with a comprehensive set of data is available to NCI users with NCI login. If you have an NCI login then mail poama@bom.gov.au to request access to the NCI archive
Further information of each of these archives is provided below. Open-Dap server is freely available to researchers.
Years: 23 Years (1990-2012)
Starts Dates: 1st, 9th, 17th 25th of each month
Ensembles: For each start date there are 11 hindcasts (11 member ensemble)
Lead times: All hindcasts are out to 6 months into the future
* Click dataset name for detailed information and how to access
| Dataset | Description | NCI Archive | open-Dap Archive |
|---|---|---|---|
| Region/Station | Forecasts for a range of key Australian stations and regions. Data is daily and calibrated using quantile-quantile mapping. Key variables include rainfall, max/min temperature, and surface variables normally required to drive agricultural models (eg. wind, radiation, evaporation etc). Ideal for interfacing to Applications tools e.g. pasture growth models etc | Yes | Not Yet |
| 5km Calibrated | Forecasts containing daily data on a 5x5km grid over Australia. The values have been calibrated using quantile-quantile mapping technique. Key variables include rainfall, max/min temperature, and surface variables normally required to drive agricultural models (eg. wind, radiation, evaporation etc). Ideal for interfacing to Applications tools e.g. pasture growth models etc | Yes | Yes |
| 5km Bias Corrected | Forecasts containing daily data on a 5x5km grid over Australia. The values have been bias corrected (mean bias corrected) and is ideal for scientists who want to do their own calibration.. Key variables include rainfall, max/min temperature, and surface variables normally required to drive agricultural models (eg. wind, radiation, evaporation etc). Ideal for scientists wanting to explore calibration techniques. | Yes | Not Yet |
| 60km Raw Atmosphere | Raw uncalibrated atmospheric and land surface model output. Dataset is global and on a 60km grid. Includes a wide range of atmospheric surface and 3D variables and land surface temperature and moisture Ideal for advanced researchers who can do their own bias correction. | Yes | No |
| 25km Raw Ocean | Raw uncalibrated ocean and sea-ice surface model output. Dataset is global and on a 25km grid. Currently only ocean surface temperature and sea level are available. Ideal for advanced researchers who can do their own bias correction. | Yes | No |