National Computational Infrastructure

NCI

Climate change and Earth system science

 

Overview of the collection information.
Title Size Project Code Global File System THREDDS Other Services
ACCESS Model 3PB rr4 gdata3 Yes http://cwslab.nci.org.au/
CMIP5 1.5PB ua6, p66 gdata1 ua6 – partially yes ESGF http://esgf.llnl.gov/

PCMDI http://pcmdi.llnl.gov

Seasonal Climate Prediction 500TB rr8 gdata2 Yes
TC scenario 250TB gg6 gdata1 No
UKMO Global Coupled Model 2 Data Set 81TB ub7 gdata2 No
Reanalysis 36TB rr7 gdata1 No
Bush fire scenario 31TB gg8 gdata1 No
ERA-Interim 30TB ub4 gdata1 No
ACCESS-CM 0.25 degrees Simulations 26TB gh5 gdata1 No
ACCESS converted format 6TB fx1 gdata1 No
CORDEX 2TB rq8 gdata1 No
YOTC 81B rq7 gdata1 No
OFES 25TB rq5 gdata1 No
CABLE 2TB wd9 gdata1 No
High Altitude Ice Crystal (HAIC)-High Ice Water Content (HIWC) 1TB ub3 gdata1 Yes
Climate Forecast System Reanalysis 0TB dl1 gdata1 No
Australian Gridded Climate Dataset 0TB zv2 gdata1 Yes

Coupled Model Intercomparison Project (CMIP5)

This data collection contains various phases of the Coupled Model Intercomparison Project (CMIP) experiments and relevant data processed from the CMIP collections for climate research such as third phas of CMIP and fifth phase of CMIP. The data collection originates from the World Climate Research Programme (WCRP) Working Group of Coupled Modelling (WGCM) with 20 climate modeling groups from around the world and input from the IGBP AIMES project agreed to promote a new set of coordinated climate model experiments. The latest experiments comprise the fifth phase of the Coupled Model Intercomparison Project (CMIP5). CMIP5 will notably provide a multi-model context for 1) assessing the mechanisms responsible for model differences in poorly understood feedbacks associated with the carbon cycle and with clouds, 2) examining climate predictability and exploring the ability of models to predict climate on decadal time scales, and, more generally, 3) determining why similarly forced models produce a range of responses. The data collection represents the contributions to WCRP’s climate experiments by our Australian climate model runs and the international collection of climate model runs for the coupled model intercomparison project (CMIP) hosted through the ESGF. This data collection underpins many scientific works in the Australian funded research in climate variability, change and adaption as well as the participation of Austalian scientists in the IPCC Assessment report. Currently we are preparing the 5th Assessment Report (AR5) for the Intergovernmental Panel on Climate Change (IPCC) based on the CMIP5 data collection.

The following ESGF nodes contain subsets of the CMIP data repositories (ESGF P2P Node) Earth System Grid Federation. ESGF P2P node is software stack and services for data catalogue, access, and management plus federated OpenID authentication and authorisation system (http://esgf.org) NCI Node : http://esgf.nci.org.au/ PCMDI Node : http://pcmdi9.llnl.gov/

CMIP5 models published at NCI.
Model piControl amip historical rcp other sst palaeo
ACCESS1.0 piControl amip historical
historicalExt
rcp45
rcp85
abrupt4xCO2
1pctCO2
ACCESS1.3 piControl amip historical
historicalGHG
historicalMisc
historicalNat
rcp45
rcp85
abrupt4xCO2
1pctCO2
sstClim
sstClim4xCO2
sstClimAerosol
sstClimSulfate
CSIRO-Mk3.6.0 piControl amip historical
historicalGHG
historicalMisc
historicalNat
rcp26
rcp45
rcp60
rcp85
abrupt4xCO2
1pctCO2
sstClim
sstClim4xCO2
sstClimAerosol
sstClimSulfate
midHolocene

ACCESS Models

Collection of meteorological weather analysis and forecast model output from the Bureau of Meteorology using the Australian Community Climate and Earth System Simulator (ACCESS) numerical weather prediction for various domains, such as global, regional, and city/state. The data collection comes from the Bureau’s daily operational numerical weather prediction analyses and forecasts from the period since the ACCESS system became operational in 2009, as well as significant ACCESS NWP research experiments. The analyses are output from the ACCESS version of the UK Met Office 4DVAR software and the forecast data is output from the ACCESS version of the UK Met Office Unified Model software. Data are in the same formats that are used internally in the Bureau’s operational systems. For analyses and forecasts, the data are in grib or netCDF formats; model-specific formats are used for observations, model initial and boundary conditions and other associated files.

This collection includes the following subsets:

Operational systems (BNOC):

  • ACCESS-G: Global NWP system, forecasts to 10 days.
  • (APS0 20091104-20130327: N144 80 km resolution; APS1 20130327+: N320 40km resolution
  • ACCESS-R: Australian Region domain NWP system, forecasts to 72 hours.
  • (APS0 20091104-20130416: 0.375 degree resolution; APS1 200130416+: 0.11 degree resolution, i.e. same as ACCESS-A, but for a much larger domain.)
  • ACCESS-A: Australia domain NWP system, forecasts to 48 hours.
  • (APS0 200911-201306: 0.11 degree resolution; replaced by ACCESS-R.)

 

  • ACCESS-AD: Adelaide-based domain ACCESS-C high-resolution 36-hr forecast system.
  • (APS0 201009-201311: 0.05 degree resolution; APS1 201311+: 0.036 degree resolution.)
  • ACCESS-BN: Brisbane-based ACCESS-C system
  • ACCESS-DN: Darwin-based ACCESS-C system (Run by BNOC, but not official BoM operational system)
  • ACCESS-PH: Perth-based ACCESS-C system
  • ACCESS-SY: Sydney-based ACCESS-C system
  • ACCESS-VT: VicTas domain ACCESS-C system
  • ACCESS-T: Australian and South-East Asian Tropical domain NWP system, forecasts to 72 hours.
  • (200911-201306: 0.375 degree resolution; replaced by ACCESS-G.)
  • ACCESS-TC: Tropical Cyclone NWP system, comprising cyclone bogussed data assimilation and forecasts to 72 hours
  • (For officially named Tropical Cyclones in the Australian region.)
  • ACCESS-O3: Ozone forecast system

Research Systems (CAWCR):

  • APS2 ACCESS-G: N512 25km resolution research system
  • APS2 ACCESS-C systems: 1.5 km (0.135 degree) research systems for 6 ACCESS-C domains.
  • APS2 ACCESS-GE: N216 60km resolution Global Ensemble Prediction System; 24 members, forecasts to 10 days.
  • APS2 ACCESS-G UKDAILY: N512 25km ACCESS 10-day forecasts from UKMO daily analyses.

Wiki page describing the ACCESS operational data: trac.nci.org.au/trac/access/wiki/opdata_on_nci

Seasonal Climate Prediction

Collection of intra-seasonal and inter-seasonal climate analysis and forecast model output from National Meteorological and Oceanographic Centre and CAWCR using the ACCESS Prediction System for a variety of domains such as global and regional. The data collection represents the Bureau’s daily operational model runs and output including climate outlooks and hindcasts.

More information about this collection can be found at http://poama.bom.gov.au/

High Resolution Extension Model for ACCESS Tropical Cyclone Forcasting

This collection includes three parts:

  • Collection of ACCESS-G2 (N512, 25km grid spacing) PI and dump files from 03/04/2015 for use of regional NWP
  • Real Time Run of ACCESS-TCX (4km grid spacing, two times every day 00 and 12 UTC) over North Ocean and Coast of Australia (15/12/2014 to 04/04/2015)
  • Real Time Run of ACCESS-TCX run (4.4km grid spacing, two times every day 00 and 12 UTC) over North-West Pacific since 25/04/2015

 

UKMO Global Coupled Model 2 Data Set

Reanalysis

Collection of various atmospheric reanalysis and observation data sets from local Australian and international sources such as NCEP-1, NCEP-2, ERA-40, ERA-40c and gridded observation data sets such as AWAP for weather and climate research. List of data sets: AWAP, CFSR, CMAP, COREv2, CRU, ERA40, ERA40c, GISS, GPCP, HADCRU, HOAPS, Hadisst, ISCCP, JRA25anl, JRA25fcst, Merra, NCEP2, NCEP2g25,NCEPg25, OAFLUX, and SOC

European Centre for Medium-Range Weather Forecast (ECMWF) ERA Interim re-analysis dataset

ERA-Interim is a global re-analysis produced by the European Centre for Medium-Range Weather Forecast (ECMWF). ERA-Interim set of global analysis describes the state of atmosphere, land and ocean-wave conditions from 1979 to the present date. It is widely used to build initial and boundary conditions in models and generally as climatology for climate studies. Our subset includes surface and 3-d variables on model levels, pressure levels, potential temperature and potential vorticity levels at 0.75X0.75 degrees of spatial resolution and also the ERA Interim Land version2 which uses a n improved land scheme. Some fields are also available at 1.5X1.5 degrees of spatial resolution. The data has a 6-hours time step and most fields are also available as synoptic monthly means and monthly means of daily means. The original data is in grib format, we convert it to NetCDF to make it more easily usable.

The broad geographical and temporal extent of this data makes together with the high number of represented fields makes this collection useful to a large number of earth science disciplines.

More information: https://researchdata.ands.org.au/arc-centre-excellence-science-manager/260149

Original collection: ECMWF ERA Interim web page http://apps.ecmwf.int/datasets/data/interim_full_daily/

ARCCSS CMS wiki: http://climate-cms.unsw.wikispaces.net/ERA+INTERIM

ACCESS coupled model with 1/4 ocean model simulation by ARCCSS

The ARC Centre of Excellence for Climate System Science (ARCCSS) Oceans Research Program has been working on a version of a 1/4 ocean model which is fully coupled into the ACCESS suite. This model is the product of a couple of years of work, lead by Paul Spence, Nic Hannah and Marshall Ward, with help from collaborators at GFDL and CSIRO. In June 2015 the first simulation was released, a 300 year, pre-industrial spin-up simulation. Other simulations will follow, so that the data can be used for studying the low-frequency variability and equilibrated mean state of the climate system at high ocean resolution.

Atmospheric Forcing Products

CORDEX AustralAsia

The World Climate Research Programme (WCRP) is backing an international initiative called the COordinated Regional climate Downscaling EXperiment (CORDEX). The goal of the initiative is to provide regionally downscaled climate projections for most land regions of the globe, as a compliment to the global climate model projections performed within the fifth Coupled Model Intercomparison Project (CMIP5). CORDEX-AustralAsia includes data from both dynamical and statistical downscaling over Australia and the surrounding regions. The data covers the period from 1950-2100 and is designed for use within climate change impacts and adaptation studies. It is expected that many scientific publications will be produced using the data and will cite the dataset. CORDEX is an ongoing initiative that will continue to grow in both data contributions and use over the next several years. CORDEX data is being distributed through the Earth System Grid Framework (ESGF).

More information about this collection can be found http://esgf.nci.org.au/ http://wcrp-cordex.ipsl.jussieu.fr/ http://cordex-australasia.wikidot.com/ http://cordex.dmi.dk/joomla/images/CORDEX/cordex_archive_specifications.pdf

Year Of Tropical Convection (YOTC) Re-analysis Datasets

The Year of Tropical Convection is a joint project of the WWRP-THORPEX and the WCRP that combines high resolution analysis and forecast data with satellite data and a Tropical Cyclone Satellite Information System. YOTC is a year of coordinated observing, modeling and forecasting of organized tropical convection and its influences on predictability as a contribution to the United Nations Year of Planet Earth to complement the International Polar Year (IPY). This effort is intended to exploit the vast amounts of existing and emerging observations, the expanding computational resources and the development of new, high-resolution modeling frameworks, with the objective of advancing the characterization, diagnosis, modeling, parameterization and prediction of multi-scale convective/dynamic interactions, including the two-way interaction between tropical and extra-tropical weather/climate. This dataset is a of the re-analysis data produced by ECMWF for the YOTC.

This data includes all the available pressure levels analysis data and some of the surface data at the highest available resolution, 0.125X0.125 degrees. The data is available in its original format, grib, and it has been converted to NetCDF to facilitate its use.

Original collection: ECMWF YOTC web page http://apps.ecmwf.int/datasets/data/yotc_od/ ARCCSS collection: http://climate-cms.unsw.wikispaces.net/YOTC

Ocean model For the Earth Simulator (OFES) – Re-analysis dataset

This dataset is subset of OFES, OGCM (Ocean general Circulation Model) for the Earth Simulator. OFES is a fifty-year eddy-resolving simulation of the world ocean. The data cover from January 1980 to December 2010, the spatial extent is global with exclusions of the poles and resolution is 1/10 of degree. This high resolution allows a good representation of boundary currents and mesoscale eddies. High-resolution simulations, such as this, are not only useful to regional studies, but also to improve climate models, of which the ocean is an important component. Another important role is to provide climatology for areas where observations are sparse. As well as the simulation output data, this collection comes with software to perform Lagrangian trajectory simulations.

More information about this collection can be found at :

  • http://www.jamstec.go.jp/esc/research/AtmOcn/product/ofes.html
  • http://www.jamstec.go.jp/esc/research/AtmOcn/ofes/index.en.html

Community Atmosphere Biosphere Land Exchange (CABLE)

CABLE includes two subcollections:

This collection will comprise of critical global datasets, which are central to the evaluation/comparison of the CABLE land surface model against observational data. CABLE is part of the state-of-the-art Australian Community Climate Earth Systems Science ACCESS model. Land surface models need to be systematically evaluated against a wide range of observational or other benchmark data. This collection will enable the evaluation/comparison of various key CABLE parameters against remotely sensed estimated and other land surface models. This will in turn further enhance and inform future areas of CABLE model development. Evaluating CABLE against these data enables model deficiencies to be identified. This, in turn, enables model improvements to be made. CABLE is part of the ACCESS modelling system; improvements in CABLE therefore have national impact through enhancing the national capability in weather forecasting, climate projection and ultimately how climate change impacts on Australian physical and social systems This collection will avoid the duplicate download and re-gridding of these datasets by the CABLE community and hence enhance research collaboration. It will also ensure consistent updating of the data to allow researchers in Australia access to the latest versions of these data. CABLE trac wiki: https://trac.nci.org.au/trac/cable/wiki

This Collection will comprise of critical global datasets, which are used as forcing for the CABLE land surface model. CABLE is part of the state-of-the-art Australian Community Climate Earth Systems Science ACCESS model. CABLE is part of the ACCESS modelling system; improvements in CABLE therefore have national impact through enhancing the national capability in weather forecasting, climate projection and ultimately how climate change impacts on Australian physical and social systems This collection will avoid the duplicate download and re-gridding of these datasets by the CABLE community and hence enhance research collaboration. It will also ensure consistent updating of the data to allow researchers in Australia access to the latest versions of these data.

CABLE trac wiki: https://trac.nci.org.au/trac/cable/wiki

Http iframes are not shown in https pages in many major browsers. Please read this post for details.HAIC-HIWC 2014 Darwin field campaign data

Collection of meteorological data from the High Altitude Ice Crystal (HAIC) / High Ice Water Content (HIWC) field campaign conducted in the Darwin area in the period January – March 2014. This includes ACCESS NWP data; MTSAT satellite data and radar data.

In Collaboration With